- computational.science - lists.iccsa.org

Call for Papers Special Issue on Deep Learning for Anomaly Detection
by Alessio Martino 09 Jan '23

09 Jan '23

Dear Colleagues, I am contacting you in my capacity as Guest Editor for a Special Issue titled: "Deep Learning for Anomaly Detection" to appear in “Algorithms” MDPI journal: https://www.mdpi.com/journal/algorithms/special_issues/Y072QR9GTI With this call for papers, I invite you and/or your co-authors to submit an original research paper, or a focused review, for our special issue. Deadline for manuscript submissions: 30 August 2023. Submitted papers will be peer reviewed and, upon acceptance, the paper will be published in open access form soon after professional editing. Thank you in advance for your consideration and I sincerely hope that you will accept this invitation to contribute to this Special Issue. If you believe that you will be able to submit a manuscript, I would also greatly appreciate if you could respond to this invitation at your earliest convenience. “Algorithms” (ISSN 1999-4893) is an EI, Scopus and ESCI indexed, Open Access journal published online monthly by MDPI. Best Regards ________________________________________ Alessio Martino, PhD Assistant Professor of Computer Science LUISS Guido Carli University Department of Business and Management Viale Romania 32, 00197 Rome, Italy<https://www.google.com/maps/place/Viale+Romania,+32,+00197+Roma+RM/@41.9250…> (Room 539) Phone: (+39) 06-85225957 E-mail: amartino(a)luiss.it<mailto:amartino@luiss.it> Web:

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Extended Deadline: Assistant Professor, Computer Security and Privacy - Lassonde School of Engineering - York University (Toronto, ON)
by Debra Clinton 03 Jan '23

03 Jan '23

Assistant Professor, Computer Security and Privacy - York University, Lassonde School of Engineering The Department of Electrical Engineering and Computer Science, York University invites highly qualified candidates to apply for a professorial stream tenure-track appointment in Computer Security and Privacy at the rank of Assistant Professor, to commence July 1, 2023. There is one (1) position available. The closing date has been extended to January 16, 2023. Salary will be commensurate with qualifications and experience. All York University positions are subject to budgetary approval. The Ideal Candidate A PhD in computer science or a closely related field is required by the start of the appointment, with a demonstrated record of excellence, or promise of excellence, in research and in teaching. Applicants should have a clearly articulated program of research in Computer Security and Privacy broadly interpreted as including, but not limited to the following: • OS security and malware analysis • software security • computer forensics • penetration testing and ethical hacking • mobile security • cloud security • user privacy • trust management • cryptography The successful candidate will be expected to engage in outstanding, innovative, and externally funded research at the highest level in the field of Computer Security and Privacy. Candidates must provide evidence of research excellence or promise of research excellence of a recognized international calibre, as demonstrated by, for example: the research statement that clearly evidences the impact and importance of the work; a record of publications in significant journals and/or conferences in the Security and Privacy fields; presentations at major conferences; awards and accolades; and recommendations from referees of high standing. The position will involve graduate teaching and supervision, as well as undergraduate teaching, and the successful candidate must be suitable for prompt appointment to the Faculty of Graduate Studies. Evidence of excellence or promise of excellence in teaching will be provided through means such as: the teaching statement; teaching accomplishments and pedagogical innovations including in high priority areas such as experiential education and technology enhanced learning; teaching evaluations; and letters of reference. About the Department The Department of Electrical Engineering and Computer Science at York University is one of the foremost academic and research departments in Canada with more than 75 faculty members, offering a range of undergraduate programs and research-intensive graduate degrees. For further information please visit http://eecs.lassonde.yorku.ca<http://eecs.lassonde.yorku.ca/>. About the Lassonde School of Engineering Established in 2012, the Lassonde School of Engineering, York University offers a broad range of undergraduate and graduate programs to educate multidisciplinary problem solvers, critical thinkers, and entrepreneurs who understand creativity, communications, social responsibility, and cultural diversity. Further information is available at http://lassonde.yorku.ca<http://lassonde.yorku.ca/>/. About York University York is a leading international teaching and research university, and a driving force for positive change. Empowered by a welcoming and diverse community with a uniquely global perspective, we are preparing our students for their long-term careers and personal success. Together, we can make things right for our communities, our planet, and our future. Applying to York University York University has a policy on Accommodation in Employment for Persons with Disabilities<https://www.yorku.ca/secretariat/policies/> and is committed to working towards a barrier-free workplace and to expanding the accessibility of the workplace to persons with disabilities. Candidates who require accommodation during the selection process are invited to contact eecsjoin(a)yorku.ca<mailto:eecsjoin@yorku.ca>. York University is an Affirmative Action (AA) employer and strongly values diversity, including gender and sexual diversity, within its community. The AA Program, which applies to women, members of racialized groups, Indigenous peoples, persons with disabilities and those who self-identify as 2SLGBTQ+, can be found at http://acadjobs.info.yorku.ca/ or by calling the AA line at 416-736-5713. Applicants wishing to self-identify as part of York University’s Affirmative Action program can do so as part of the online application process. All qualified candidates are encouraged to apply; however, Canadian citizens, permanent residents, and Indigenous peoples in Canada will be given priority. No application will be considered without a completed mandatory Work Status Declaration form, which is included as part of the online application process. How to Apply Applicants must complete the online application process at http://apply.interfolio.com/113613. Include the following documents: * a cover letter (indicating position, and the rank you wish to be considered for), * a detailed curriculum vitae, * statements of contribution to research, teaching, and curriculum development, and * three sample research publications. Candidates selected for further consideration will be expected to provide contact details for three referees. For full consideration we need to have received your complete application materials by January 16, 2023. The application deadline has been extended. If you have any questions or problems with submitting an application on the York portal, please contact Debra Clinton at dclinton(a)kbrs.ca<mailto:dclinton@kbrs.ca>. Debra Clinton Executive Recruiter (She/Her) Read our Insights T. 1.866.822.6022 151 Yonge Street Yonge and Richmond Center 11th Floor, Suite 1101 Toronto, On M5C 2W7 www.kbrs.ca This e-mail is intended only for the person to whom it is addressed (the "addressee") and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use that a person other than the addressee makes of this communication is prohibited and any reliance or decisions made based on it, are the responsibility of such person. We accept no responsibility for any loss or damages suffered by any person other than the addressee as a result of decisions made or actions taken based on this communication or otherwise. If you received this in error, please contact the sender and destroy all copies of this e-mail. If you choose to use our services/or submit your personal information then you are providing your consent for our firm to use your personal information to conduct business activities as described in our Privacy Policy on our website. If you do not wish to receive future contact from KBRS via email, please send your request to unsubscribe(a)kbrs.ca Your request will be honored within 10 days. Thank You.

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CFP: IEEE International Conference on Cloud Computing (IEEE CLOUD 2023)
by Bahman Javadi 21 Dec '22

21 Dec '22

IEEE International Conference on Cloud Computing (IEEE CLOUD 2023) July 2-8, 2023, Chicago, Illinois, USAhttps://conferences.computer.org/cloud/2023/ IEEE CLOUD is the flagship conference focusing on innovative cloud computing across all "as a service" categories (XaaS). This includes modeling, developing, publishing, monitoring, managing, delivering, and scaling XaaS offerings from the core to the edge. The conference is a prime international forum for researchers, academics, businesses, industry, and standard bodies to exchange the latest fundamental advances in the state of the art and practice of cloud computing, identify emerging research topics, and define the future of cloud computing. IEEE CLOUD 2023 invites original papers addressing all aspects of cloud computing infrastructure, applications, and business innovations. Topics of interest include but are not limited to the following: Cloud and AI * Use of AI to Improve Cloud Services and Operations * Use of Cloud to Improve AI Research and Deployment * Predictive Analysis and Federated Learning * Anomaly Detection and Automation for Remediation & Mitigation * Observability, Transparency and Reproducibility Infrastructure * Cloud Computing Systems and Architectures * Edge Computing Systems and Architectures * Cloud Storage and Data Architectures * Cloud-centric Network Architectures (SDN, NFV, etc) * Computing Continuum and Edge-Cloud-HPC federation Applications * Large Scale Cloud Applications * Edge Applications * Microservice-based, Containerized, & Serverless Applications * Digital Twins & Applications across Edge-Cloud-HPC Continuum Cloud Management and Operations * Hybrid-cloud Integration and Multi-cloud Environments * Distributed and Parallel Query Processing * Resource, Energy, Data Management * Cloud Metering and Monitoring * Containers, Serverless Computing * Cloud Service Adaptation and Automation * Cloud Federation, Service Composition * Sustainable Cloud Computing Cloud Security * Confidential Cloud Computing and Trusted Cloud Environments * Access Control, Authorization, Authentication * Assurance, Audit, Certification, Compliance * Fault Tolerance, High Availability, Reliability * Privacy-aware data management * Cloud Applications of Distributed Ledger Technologies Cloud Economics * Cloud Strategy for Enterprise Business Transformation * Cloud Service Level Agreement (SLAs) * Economics and Business Models for XaaS * Cloud Quality Management * Cloud ROI Analysis, Cost and Pricing Cloud as a Service * Infrastructure as a Service (IaaS) * Platform as a Service (PaaS) * Function as a Service (FaaS) * Software as a Service (SaaS) * Network / Storage as a Service IMPORTANT DATES (ANYWHERE ON EARTH) December 1, 2022: Easy Chair open for draft submissions February 12, 2023: Easy Chair closes for submissions (hard deadline) April 2, 2023: Acceptance notifications July 2-8, 2023: SERVICES Congress in Chicago MANUSCRIPT GUIDELINES AND SUBMISSION INFORMATION Please visit the Information for Authors page on the Congress website for manuscript guidelines: https://conferences.computer.org/services/2023/author_info/ GENERAL CHAIRS Tevfik Kosar, University at Buffalo Manish Parashar, University of Utah PROGRAM CHAIRS Judy Fox, University of Virginia Christoph Hagleitner, IBM Research - Zurich PUBLICITY CHAIRS Maria Fazio, University of Messina Soumya K. Ghosh, Indian Institute of Technology Kharagpur Bahman Javadi, Western Sydney University Zhiling Lan, Illinois Institute of Technology Osamu Tatebe, University of Tsukuba Carlos Westphall, Federal University of Santa Catarina Amelie Chi Zhou, Shenzhen University

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Postdoc position in Deep Neural Networks
by El-ghazali Talbi 14 Dec '22

14 Dec '22

Dear all, Please find enclosed a Postdoc position @Paris (France) on Multi-objective Prediction Models for Machine Learning Applications. best regards -- ********************************************************************** OLA'2023 International Conference on Optimization and Learning (SCOPUS, Springer) Malaga, Spain, May 3-5, 2023 http://ola2023.sciencesconf.org *********************************************************************** META'2023 International Conference on Metaheuristics and Nature Inspired Computing (SCOPUS, Springer) Marrakech, Morocco, Oct 25-28, 2023 *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS

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ICCSA 2023 Call for Workshop Proposals is closing soon
by Osvaldo Gervasi 08 Dec '22

08 Dec '22

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Call for Papers, PDSEC-23 Workshop, May 2023
by Shontz, Suzanne Michelle 07 Dec '22

07 Dec '22

Dear All: The 24th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-23) (http://www.ieee-tcsc.org/2023/pdsec/) will be held on May 19, 2023 in St. Petersburg, Florida in conjunction with IPDPS 2023. Deadline: PDSEC-23 deadline: 15 Jan 2023 (AoE) Scope and Interests: The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to the management of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing (PDC) community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. In particular, we will focus on the following topics in parallel and distributed scientific and engineering applications, and not limited to: * Big scientific data * Performance modeling and simulation for the execution of scalable scientific applications on new heterogeneous architectures * Graph analytics with their (scientific) applications * Code modernization methodologies and experiences for adapting the changes in future computing systems * Languages for scientific computing on hybrid systems (e.g. Python, MPI+X where X is OpenMP, OpenCL, CUDA etc.) * Tools and techniques for improving the performance, reliability and resilience of scientific applications * Use cases of enterprise distributed computing technology (such as MapReduce, Data Analytics and Machine-learning tools) in scientific and engineering applications * Scalable parallel and distributed algorithms supporting science and engineering applications * Performance portability across heterogeneous architecture Important Dates: Paper submission due . . . . . . . . . . . . . . January 15, 2023 Notification of Acceptance . . . . . . . . . . . February 23, 2023 Final camera-ready paper . . . . . . . . . . . . February 28, 2023 Workshop . . . . . . . . . . . . . . . . . . . . May 19, 2023 General Chairs Sabine Roller, German Aerospace Center (DLR), Germany Peter Strazdins, The Australian National University, Australia Program Chairs Raphael Couturier, University of Bourgogne Franche-Comte, France Neda Ebrahimi Pour, German Aerospace Center (DLR), Germany Publicity Chair Suzanne Shontz, University of Kansas, USA Steering Committee Laurence T. Yang (Chair), St. Francis Xavier University, Canada Thomas Rauber, University of Bayreuth, Germany Gudula Runger, Chemnitz University of Technology, Germany Web Chair Jiawei Wang, St. Francis Xavier University, Canada Sincerely, Suzanne Dr. Suzanne Shontz Associate Dean for Research, School of Engineering Professor, Department of Electrical Engineering and Computer Science University of Kansas Lawrence, KS 66047 USA

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[CfP] EICC 2023|14-15 June 2023|Stavanger, Norway (in-person only)
by S Vrhovec 01 Dec '22

01 Dec '22

======================================================================= EICC 2023: European Interdisciplinary Cybersecurity Conference 14-15 June 2023 | Clarion Hotel Energy, Stavanger, Norway W: https://www.fvv.um.si/eicc2023/ | E: eicc(a)um.si ======================================================================= == Call for papers/posters == Paper submission: 15 Jan 2023 Author notification: 12 Feb 2023 Poster submission: 5 Mar 2023 Camera-ready: 9 Apr 2023 Submission system: https://easychair.org/conferences/?conf=eicc2023 EICC 2023 proceedings will be published by ACM in ICPS (indexed by dblp, Scopus, Web of Science, ACM DL). Authors of accepted papers will be invited to submit extended versions to the Journal of Universal Computer Science (0948-695X / 0948-6968) Special Issue on Fighting Cybersecurity Risks from a Multidisciplinary Perspective (indexed by dblp, Scopus, Web of Science). == About EICC 2023 == The European Interdisciplinary Cybersecurity Conference - EICC 2023 aims at establishing a venue for the exchange of information on cybersecurity and its many aspects between academics and practitioners in Europe. EICC was until 2019 known as the Central European Cybersecurity Conference - CECC and has been rebranded to underscore the interdisciplinarity of the conference and broaden its reach. EICC 2023 encourages the dialogue between computer scientists and researchers in all other fields related to cybersecurity, such as behavioral sciences, sociology, criminology, investigations and law. Interdisciplinary contributions are especially welcome. EICC 2023 is planned as an in-person conference. == Scope == The conference is devoted to exploring and presenting original innovative applications, scientific and technological advancements in the field of cybersecurity. Topics for this conference include, but are not limited to: - Adversarial machine learning - Big data and cybersecurity - Business continuity and disaster recovery - Child safety in the cyberspace - Cloud security - Critical infrastructure security - Cyber forensics - Cyber insurance - Cyber warfare - Cyber-physical systems security - Cybersecurity and cyber resilience - Digital currency, blockchains and cybercrime - Digital privacy - Embedded systems security - Healthcare information security - Information security governance - Internet of things security - Law, investigation, internet jurisdiction and ethics - Network security - Security management - Software development security - Surveillance, interception, blocking and sovereignty - Trust management Special session: - Complex network analysis for cybersecurity - CNACYS 2023: https://www.fvv.um.si/eicc2023/cnacys/ == Publication == EICC 2023 proceedings will be published by Association for Computer Machinery (ACM) in the ACM Digital Library within its International Conference Proceedings Series (ICPS). Proceedings from the last three conference editions are available here: - EICC 2022: https://dl.acm.org/doi/proceedings/10.1145/3528580 - EICC 2021: https://dl.acm.org/doi/proceedings/10.1145/3487405 - EICC 2020: https://dl.acm.org/doi/proceedings/10.1145/3424954 Authors of accepted papers will be invited to submit extended versions to the Journal of Universal Computer Science (0948-695X / 0948-6968) Special Issue on Fighting Cybersecurity Risks from a Multidisciplinary Perspective (Scimago Q2, JCR Q3). == Submission guidelines == The official language of the conference is English. Papers are limited to 6 pages. All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - *Full papers* reporting on original research findings (5-6 pages) - *Short papers* reporting on original research findings (2-4 pages) - *Posters* (extended abstracts) reporting on original research findings (1-2 pages, including references) The conference will offer a *Best paper award* and *Best poster award*. The awards will be announced and bestowed at the conference closing session. The awards will be conferred to the author(s) of awarded papers who will be present at the conference. The decision criterion will consider both the paper/poster quality and the oral presentation/printed poster quality. Please see the conference website for further details. -- Simon Vrhovec https://simvrh.wordpress.com/

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Deadline Extended: The 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
by Bahman Javadi 26 Nov '22

26 Nov '22

==================== IEEE/ACM CCGRID 2023 ~~~~~~~~~~~~~~~~~~~~ The 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing In conjunction with the 7th IEEE International Conference on Fog and Edge Computing (ICFEC 2023) May 1-4, 2023 Bangalore, India https://ccgrid2023.iisc.ac.in ==================== The 23rd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in distributed systems, ranging from computing clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog and Edge Computing to support Internet of Things (IoT) and Big Data applications. The conference will feature keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2023 conference. The conference places special emphasis on all aspects of equity, diversity and inclusion in systems research. The conference will be held as an in-person event. We, as the CCGrid community, are committed, both individually and collectively, to nurturing diversity and inclusion, sustaining a climate of mutual respect, and fostering a collaborative and supportive environment wherein everyone is empowered to succeed. -------------------------------------- CALL FOR RESEARCH PAPERS AND ARTIFACTS -------------------------------------- We solicit original unpublished research contributions on all aspects of distributed systems and applications in the context of Cluster, Cloud, and Internet computing environments. Topics of interest include but are not limited to: HARDWARE SYSTEMS AND NETWORKING * Storage and I/O Systems; Sustainable and Green Computing; and Architecture, Networking and Data Centers for Cluster, Cloud and Internet Computing. SOFTWARE SYSTEMS AND PLATFORMS * Programming Models and Runtime Systems; Resource Management and Scheduling; Performance Modeling and Evaluation; and Energy-efficient software/applications for Cluster, Cloud and Internet Computing. ML FOR SYSTEMS AND SYSTEMS FOR ML * Techniques, platforms and systems for supporting Machine Learning and Artificial Intelligence applications. * Use of Machine Learning and Artificial Intelligence applications to enhance the performance of cluster, cloud and Internet-computing systems. FUTURE COMPUTE CONTINUUM * Internet Computing Frontiers: Cloud, Edge, Fog, Serverless; Future Internet: 5G/6G, SDN; Osmotic Computing; Cloud-Economics and Trustworthiness; Post- and Non-Von Neumann Computing, Quantum computing and Neuromorphic computing. APPLICATIONS AND TRANSLATION * AI/ML, Cyber-Physical Systems, e-Health, IoT, Digital Twins, Autonomous systems, Cyber-Security, Privacy, and Enterprise applications for Cluster, Cloud and Internet Computing; Applications for Cloud-to-Things continuum. *** ARTIFACTS *** Starting this year, CCGRID will be accepting code/data artifacts as supplemental material for accepted papers. These will be reviewed by an Artifact Evaluation committee, examining 1) if the artifacts are available and 2) if they are evaluated, and those that pass will be awarded Reproducibility Badges, specifically 1) "Open Research Objects (ORO)" and 2) "Research Objects Reviewed (ROR)", for the accepted paper on IEEE Xplore. Submission of the artifacts is optional, and will be solicited after the research paper acceptance. More details will be posted soon. *** GUIDELINES *** Manuscripts should not exceed 10 pages, excluding references, using the IEEE format for conference proceedings. Authors of accepted manuscripts may purchase up to two additional pages. Papers in the main research track will follow a double-blinded review process. Accepted papers will be published through the IEEE CS Conference Publication Services and available online at IEEE Xplore. The conference will be held in person physically. At least one author of each accepted paper must register and present their work in-person at the conference. Best Paper Awards will be presented to the author(s) of top papers selected by the Program Committee. For more details see https://ccgrid2023.iisc.ac.in ---------------- CALL FOR POSTERS ---------------- The research poster session offers a chance to present early research ideas, late-breaking results, and novel perspectives on Cluster, Cloud and Internet computing at the CCGrid conference. We welcome submissions from academia, industry and labs to submit posters on topics of interest similar to those of the main conference tracks listed above. The authors are invited to submit 2-page extended abstracts for the poster, excluding references, using the IEEE 2-column format for conference proceedings. The submissions will undergo a single-blinded review process. The extended abstracts of the accepted posters will be published as a companion proceeding (CCGRIDW) through the IEEE CS Conference Publication Services and available online at IEEE Xplore digital library. The conference will be held in person physically. At least one author of each accepted paper must register and present a poster version of their extended abstract in-person at the conference. Best Poster Awards will be presented to the author(s) of top papers selected by the Program Committee. For more details see https://ccgrid2023.iisc.ac.in ------------------------------------------------ CALL FOR EARLY CAREER & STUDENT SHOWCASE POSTERS ------------------------------------------------ Early Career and Students' Showcase of CCGrid 2023 provides a forum for students and early career researchers a chance to have discussions, solicit feedback on their research, and gain mentorship on their careers from experts attending the conference. We invite poster submissions to this showcase on novel research ideas, work-in-progress, or a summary of the dissertation work conducted in the broad areas of Cluster, Cloud and Internet computing, on topics of interest aligned with the main conference tracks listed above. The first author of the submission must be a student enrolled in a doctoral or Masters? degree program at an academic institution, a postdoctoral researcher, or an early career researcher having a Masters' or Doctoral degree within the last 5 years. The authors are invited to submit 2-page extended abstracts for the poster, excluding references, using the IEEE 2-column format for conference proceedings. The submissions will undergo a single-blinded review process. The extended abstracts of the accepted posters will be published as a companion proceeding (CCGRIDW) through the IEEE CS Conference Publication Services and available online at IEEE Xplore digital library. The conference will be held in person physically. The student/early career author each accepted paper must register and present a poster version of their extended abstract in-person at the conference. Limited travel grants will be available to students and early career researchers. Best Poster Awards will be presented to the author(s) of top papers selected by the Program Committee. *** MENTORSHIP ACTIVITIES *** Student and early career authors will have the opportunity to have fruitful interactions and networking with other researchers at a similar stage in their careers. There will also be focused mentoring sessions with experts in the field to offer guidance on research problems and aspects of a successful research career. Students will also have a chance to interact with industry leaders and share their resumes with potential recruiters. For more details see https://ccgrid2023.iisc.ac.in ------------------------------------ CALL FOR SCALE CHALLENGE SUBMISSIONS ------------------------------------ IEEE TCSC International Scalable Computing Challenge (SCALE 2023) is sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC). The objective of the SCALE Challenge is to highlight and showcase real-world problem-solving using computing that scales. Participants in the challenge will be expected to identify significant current real-world problems where scalable computing techniques can be effectively used, and design, implement, evaluate and demonstrate solutions. Problems that have a social impact are of particular interest. Authors are invited to submit 6-page technical paper, excluding references, describing the nature of the problem being solved, the solution technique, and offer preliminary evidence of the scalability achieved. The technical committee will shortlist finalists from these proposals, and invite them to present their work and offer a live demonstration at the CCGrid 2023 conference. The conference will be held in person physically. One author of each accepted paper must register for the conference and present their work and demonstration at a special SCALE Challenge session. A panel of experts will judge and select the IEEE TCSC SCALE Challenge winner. The accepted papers will be published as a companion proceeding (CCGRIDW) through the IEEE CS Conference Publication Services and available online at IEEE Xplore digital library. --------- WORKSHOPS --------- Several workshops are being co-located at CCGRID 2023. Please refer to the workshops page for more details. 1. STEERS: 3rd Workshop on Serverless to Serve more at Scale 2. DASMEC: 1st Workshop on Data and Service modeling for Edge Computing 3. STP-CPS: 6th Workshop on Security Trust Privacy for Cyber-Physical Systems 4. SIoTEC: 4th Workshop on Secure IoT, Edge and Cloud Systems 5. CLEF: 1st Workshop on Cloud, Edge, and Fog for smart industries 6. BlockCPS: 1st Workshop in Smart Cyber Physical Systems: Adhering to Security, Trust, and Integrity 7. MegaData: 1st Workshop on advances in Data Systems Management, Engineering, and Analytics ----------------------------------- DIVERSITY AND INCLUSION (D&I) TRACK ----------------------------------- CCGrid 2023 is placing an emphasis on diversity and inclusion in systems research. The D&I track at CCGrid 2023 will feature eminent keynote speakers and panel discussions by researchers and practitioners in cluster, cloud and Internet computing from diverse backgrounds. We will also host focused mentorship roundtables and networking sessions for students, faculty members and researchers from traditionally under-represented groups to provide them an opportunity to interact with leading experts from academia and industry. We will be soliciting applications to participate in the D&I track and offer limited travel grants based on need and availability. ------------------ SUBMISSION WEBSITE ------------------https://easychair.org/conferences/?conf=ccgrid2023 --------------------- IMPORTANT DATES (AoE) --------------------- RESEARCH PAPERS * Abstract Submission: Dec 5, 2022 (Updated) * Paper Submission: Dec 12, 2022 (Updated) * Author Notifications: Jan 27, 2023 * Camera Ready: Mar 17, 2023 SCALE CHALLENGE & RESEARCH POSTERS * Abstract Submission: Jan 24, 2023 * Paper Submission: Jan 31, 2023 * Author Notifications: Feb 10, 2023 * Camera Ready: Mar 17, 2023 EARLY CAREER & STUDENTS' SHOWCASE * Extended Abstract Submission: Jan 31, 2023 * Author Notifications: Feb 10, 2023 * Camera Ready: Mar 17, 2023 CONFERENCE DATES: May 1-4, 2023 ------------ SPONSORED BY ------------ IEEE Computer Society IEEE Technical Community on Scalable Computing (TCSC) IEEE Technical Community on Cloud Computing (TCCLD) ACM Special Interest Group on Computer Architecture (SIGARCH) ------------------- IN COOPERATION WITH ------------------- Indian Institute of Science (IISc), Bangalore Cloud Computing Innovation Council of India (CCICI) IEEE Computer Society-Bangalore Chapter ---------------------- ORGANIZATION COMMITTEE ---------------------- GENERAL CHAIRS Yogesh Simmhan, Indian Institute of Science (IISc), India Ilkay Altintas, San Diego Supercomputer Center (SDSC), USA PROGRAM COMMITTEE CHAIRS Pavan Balaji, Meta Platforms Inc, USA Ana-Lucia Varbanescu, University of Twente, The Netherlands TRACK CHAIRS HARDWARE SYSTEMS AND NETWORKING Antonio Pena, Barcelona Supercomputing Center (BSC), Spain SOFTWARE SYSTEMS AND PLATFORMS Purushottam Kulkarni, Indian Institute of Technology (IIT) Bombay, India Alexandru Iosup, Vrije University, The Netherlands ML FOR SYSTEMS, AND SYSTEMS FOR ML Min Si, Argonne National Laboratory (ANL), USA Kyle Chard, University of Chicago, USA FUTURE COMPUTE CONTINUUM Guillaume Pierre, University of Rennes, France Maria Carla Calzarossa, University of Pavia, Italy APPLICATIONS AND TRANSLATION David Abramson, The University of Queensland, Australia ARTIFACTS EVALUATION COMMITTEE CHAIRS Daniel S. Katz, University of Illinois at Urbana-Champaign (UIUC), USA Moise, Diana, Cray (HPE), Switzerland DIVERSITY AND INCLUSION CHAIRS Beth Plale, Indiana University, USA Preeti Malakar, Indian Institute of Technology (IIT) Kanpur, India WORKSHOPS CHAIRS Mohsen Amini Salehi, University of Louisiana at Lafayette, USA Nitin Auluck, Indian Institute of Technology (IIT) Ropar, India SCALE CHALLENGE CHAIRS Suren Byna, Lawrence Berkeley National Lab (LBNL), USA Amelie Chi Zhou, Shenzhen University, China RESEARCH POSTERS CHAIRS Sandip Chakraborty, Indian Institute of Technology (IIT) Kharagpur, India Kamer Kaya, Sabanci University, Turkey EARLY CAREER AND STUDENTS SHOWCASE' CHAIRS Tanu Malik, Depaul University, USA Sameer Shende, University of Oregon, USA Nikhil Hegde, Indian Institute of Technology (IIT) Dharwad, India PUBLICITY CHAIRS Antonino Galletta, University of Messina, Italy Bahman Javdi, Western Sydney University, Australia Carlos Westphall, Federal University of Santa Catarina, Brazil Dip Sankar Banerjee, Indian Institute of Technology (IIT) Jodhpur, India Gagangeet Singh Aujla, Durham University, UK Jason Haga, AIST, Japan Jianwu Wang, University of Maryland, Baltimore County, USA Minxian Xu, Shenzhen Institutes of Advanced Technology (SIAT), China LOCAL ORGANIZATION CHAIRS Atul Kumar, IBM Research, India Raj Sharma, Walmart Labs, India Vivek Yadav, International Institute of Information Technology (IIIT), Bangalore, India INDUSTRY ENGAGEMENT AND SPONSORSHIP CHAIRS Raj Sharma, Walmart Labs, India Prasant Misra, TCS, India TRAVEL GRANTS CHAIRS Subhajit Sidhanta, Indian Institute of Technology (IIT) Bhilai, India Sandra Gesing, University of Illinois Chicago, USA PROCEEDINGS CHAIRS Abhinandan S.P., National Institute of Engineering (NIE), Mysore, India Lorenzo Carnevale, University of Messina, Italy CLOUD@INDIA ADVISORY COMMITTEE Umesh Bellur, Indian Institute of Technology (IIT) Bombay, India Puru Kulkarni, Indian Institute of Technology (IIT) Bombay, India Amith Singhee, IBM Research, India Dinkar Sitaram, Cloud Computing Innovation Council of India (CCICI), India Kishore Kothapalli, International Institute of Information Technology (IIIT) Hyderabad, India Lakshmi J., Indian Institute of Science (IISc), India Rajeev Shourey, Indian Institute of Technology (IIT) Delhi, India Satish Srirama, University of Hyderabad, India CONFERENCE TREASURERS Omer Rana, Cardiff University, UK Chandrashekhar Sahasrabudhe, ACM India WEB CHAIRS Debadatta Mishra, IIT-Kanpur, India Saurabh Kumar, IIT-Kanpur, India STEERING COMMITTEE CHAIRS Rajkumar Buyya, University of Melbourne, Australia Pavan Balaji, Meta Platforms Inc, USA ~~~~~~~~~~~~~~ We, as the CCGrid community, are committed, both individually and collectively, to nurturing diversity and inclusion, sustaining a climate of mutual respect, and fostering a collaborative and supportive environment wherein everyone is empowered to succeed. Authors and participants are encouraged to read the ACM Code of Ethics and Professional Conduct and the ACM Policy Against Harassment, and IEEE Computer Society's expectation of professional behavior found in the IEEE Computer Society Open Conference Statement, the IEEE Event Conduct and Safety Statement, and the IEEE Code of Ethics. ~~~~~~~~~~~~~~

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Hiring for Professorial and Teaching Stream Roles - Lassonde School of Engineering - York University (Toronto, ON)
by Debra Clinton 11 Nov '22

11 Nov '22

Electrical Engineering and Computer Science (EECS) positions (Applications due Nov 15): The Department of Electrical Engineering and Computer Science, York University invites highly qualified candidates to apply for the following Professorial and Teaching Stream positions: Computer, Electrical, or Software Engineering – Professorial Stream (1 Position) – Keele Campus Recognizing the underrepresentation of Black, Indigenous, and other faculty of colour, this opportunity is open to qualified individuals who self-identify as Indigenous, and/or Black peoples of African Descent (for example Africans and African heritage people from the Caribbean, Americas, Europe), and/or as members of other visible minorities (racialized groups). It is part of a cohort hire across a number of faculties and fields of study. The successful candidate will be joining a vibrant scholarly community at York, where we aspire to achieve equity and diversity in all areas, including race equity. Computer Science – Teaching Stream (2 Positions) – Keele Campus This position will be focused on teaching primarily undergraduate courses and providing educational management, guidance, and direction in enhancing teaching and learning through curricular and pedagogical innovation in the workplace and classroom. Experience in collaborating with industry and community partners is an asset. They will be responsible for subject matter in cybersecurity, software development, cloud computing, or data science. One position will be in the computer security field, and the other a pedagogical specialist in first year teaching. Computer Security and Privacy -- Professorial Stream (1 Position) – Keele Campus This position will focus on Computer Security and Privacy broadly interpreted as including, but not limited to: OS security and malware analysis, software security, computer forensics, penetration testing and ethical hacking, mobile security, cloud security, user privacy, trust management, cryptography. Computer Vision – Professorial Stream (1 Position) – Keele Campus This position will focus on Computer Vision, broadly interpreted (including, but not limited to computational photography, video understanding, physics-based vision, vision + language/other modalities, 3D computer vision, learning for vision), along with a suitable record of publication in premier computer vision and closely related venues (including, for example, CVPR, ICCV, ECCV, TPAMI, NeurIPS, SIGGRAPH, etc.). Software Engineering and Embedded Systems – Professorial Stream (2 Positions) – Keele Campus These positions will focus broadly on Software Engineering and Embedded Systems and will involve graduate teaching and supervision, as well as undergraduate teaching. Earth and Space Science and Engineering (ESSE) position (Applications due Nov 30): The Department of Earth and Space Science and Engineering (ESSE), Lassonde School of Engineering at York University invites highly qualified applicants for a: Space Engineering (Mechatronics) - Assistant Professor, Professorial Stream – Keele Campus This is a professorial stream tenure-track appointment in Space Engineering (Mechatronics) at the Assistant Professor level, to commence on July 1, 2023. While we welcome applications from individuals with experience in the traditional and interdisciplinary areas of space engineering, special attention will be given to individuals with experience that complements our current research and teaching activities: * spacecraft dynamics and control, * nano-satellite technology, * space instrumentation, and * space mission design. It will be an advantage if applicants have experience teaching large engineering lecture classes and a demonstrated commitment to participating in alternative course delivery systems. Common Engineering teaching position (Applications due December 31): The Office of the Dean in the Lassonde School of Engineering at York University invites highly qualified applicants for a: Common Engineering - Assistant Professor, Teaching Stream – Keele Campus This is a teaching stream tenure-track appointment for Common Engineering at the rank of Assistant Professor, Teaching Stream, to commence July 1, 2023. The common engineering curriculum comprises the required first-year and a series of upper-year courses taken by students across all Bachelor of Engineering (BEng.) programs. Currently, these consist of two introductory courses (ethics, communications and problem solving; engineering design principles), two second-year courses (engineering project management and economics; engineering communication), and two upper-year courses (professional engineering practice; capstone project). The successful candidate will be expected to: * teach undergraduate courses in the common engineering curriculum * provide creative educational leadership in curriculum redesign and pedagogical innovation * collaborate with supportive colleagues in team teaching * coordinate the integration of professional skills (e.g., communication, leadership, collaboration, project management) across the common engineering curriculum and project-based learning experiences Applying to York University York University has a policy on Accommodation in Employment for Persons with Disabilities<http://secretariat-policies.info.yorku.ca/policies/accommodation-in-employm…> and is committed to working towards a barrier-free workplace and to expanding the accessibility of the workplace to persons with disabilities. Candidates who require accommodation during the selection process are invited to contact: Electrical Engineering & Computer Science: eecsjoin(a)yorku.ca<mailto:eecsjoin@yorku.ca> Earth & Space Science & Engineering: essechr(a)yorku.ca<mailto:essechr@yorku.ca> Common Engineering Search Committee Chair - Jeffrey Harris: jpharris(a)yorku.ca<mailto:jpharris@yorku.ca> York University is an Affirmative Action (AA) employer and strongly values diversity, including gender and sexual diversity, within its community. The AA Program, which applies to women, members of racialized groups, Indigenous peoples, persons with disabilities and those who self-identify as 2SLGBTQ+, can be found at www.yorku.ca/acadjobs<http://www.yorku.ca/acadjobs> or by calling the AA line at 416-736-5713. Applicants wishing to self-identify as part of York University’s Affirmative Action program can do so as part of the online application process. All qualified candidates are encouraged to apply; however, Canadian citizens, permanent residents and Indigenous peoples in Canada will be given priority. No application will be considered without a completed mandatory Work Status Declaration form, which is included as part of the online application process. Applying to York University For detailed position descriptions, candidate requirements, the application process and how to apply, please click on the relevant link below. Applications must be submitted online. Computer, Electrical, or Software Engineering – Professorial Stream (1 Position) – Keele Campus<https://apply.interfolio.com/113618> Computer Science – Teaching Stream (2 positions) – Keele Campus<https://apply.interfolio.com/113615> Computer Security and Privacy -- Professorial Stream (1 Position) – Keele Campus<https://apply.interfolio.com/113613> Computer Vision – Professorial Stream (1 Position) – Keele Campus<https://apply.interfolio.com/113614> Software Engineering and Embedded Systems -- Professorial Stream (2 Positions) – Keele Campus<https://apply.interfolio.com/113616> Space Engineering (Mechatronics) - Assistant Professor, Professorial Stream – Keele Campus<https://apply.interfolio.com/115120> Common Engineering - Assistant Professor, Teaching Stream – Keele Campus<https://apply.interfolio.com/116835> The review of applications will commence on November 1, 2022, and for full consideration we need to have received your complete application materials by the following dates: * NOVEMBER 15 for Computer, Electrical, or Software Engineering, Computer Science, Computer Security and Computer Vision, and Software Engineering and Embedded Systems * NOVEMBER 30 for Space Engineering (Mechatronics) * DECEMBER 31 for Common Engineering University Context: · The Department of Electrical Engineering and Computer Science at York University is one of the foremost academic and research departments in Canada with more than 75 faculty members and offers a range of undergraduate programs and research-intensive graduate degrees. For further information please visit http://eecs.lassonde.yorku.ca. · The Department of Earth and Space Science and Engineering at the Lassonde School of Engineering offers undergraduate (BEng and BSc) and graduate (MSc and PhD) programs in Geomatics Engineering, Space Engineering, Geomatics Science, Space Science, and Atmospheric Science that develop students’ critical thinking and problem-solving abilities needed for current and future technical leadership roles in industry, government, and academia. Further information about the Lassonde School of Engineering, with departmental link for the Department of Earth and Space Science and Engineering can be found at https://lassonde.yorku.ca/esse/. · The Lassonde School of Engineering at York University offers a broad range of undergraduate and graduate programs to educate multidisciplinary problem solvers, critical thinkers, and entrepreneurs who understand creativity, communications, social responsibility, and cultural diversity. Further information is available at http://lassonde.yorku.ca/. · York is a leading international teaching and research university, and a driving force for positive change. Empowered by a welcoming and diverse community with a uniquely global perspective, we are preparing our students for their long-term careers and personal success. Together, we can make things right for our communities, our planet and our future. · York is located in Toronto, Canada’s largest city and one of the world’s most diverse. In 2022, Forbes named Toronto one of the Ten Best Cities to Live<https://www.forbes.com/sites/duncanmadden/2022/08/04/ranked-the-ten-best-ci…>. York is accessible from Toronto by subway. If you’re interested in any of these opportunities and have questions, please contact Jennifer Massey at jmassey(a)kbrs.ca<mailto:jmassey@kbrs.ca>, Kyle Steele at ksteele(a)kbrs.ca<mailto:ksteele@kbrs.ca> or Debra Clinton at dclinton(a)kbrs.ca<mailto:dclinton@kbrs.ca>, or submit your application online using the links above. Debra Clinton Executive Recruiter Read our Insights T. 1.866.822.6022 151 Yonge Street Yonge and Richmond Center 11th Floor, Suite 1101 Toronto, On M5C 2W7 www.kbrs.ca This e-mail is intended only for the person to whom it is addressed (the "addressee") and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use that a person other than the addressee makes of this communication is prohibited and any reliance or decisions made based on it, are the responsibility of such person. We accept no responsibility for any loss or damages suffered by any person other than the addressee as a result of decisions made or actions taken based on this communication or otherwise. If you received this in error, please contact the sender and destroy all copies of this e-mail. If you choose to use our services/or submit your personal information then you are providing your consent for our firm to use your personal information to conduct business activities as described in our Privacy Policy on our website. If you do not wish to receive future contact from KBRS via email, please send your request to unsubscribe(a)kbrs.ca Your request will be honored within 10 days. Thank You.

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Call for poster: IEEE ISPA2022 (Parallel and Distributed Processing with Applications), Dec. 2022
by Jesson Butt 07 Nov '22

07 Nov '22

Call for Poster: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/poster.htm Important Dates: Deadline for proceedings published posters with display at conference: 13 November 2022 Notification of Acceptance: 15 November 2022 Final versions of proceeding published posters: 18 November 2022 Submissions: Please email your posters/demos to confs.aus(a)gmail.com with the email subject as "ISPA 2022 poster submission". --------------- Participants are invited to submit posters and research demos to ISPA 2022. ISPA 2022 is created to provide a prime international forum for both researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state of the art and practice of Parallel and Distributed Processing with Applications as well as joint-venture and synergic research and development across various related areas. Topics of interest for posters and demos include, but not limited to: Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Chairs: Muneeb Hassan, Swinburne University of Technology, Australia

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CFP: The 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
by Bahman Javadi 03 Nov '22

03 Nov '22

==================== IEEE/ACM CCGRID 2023 ~~~~~~~~~~~~~~~~~~~~ The 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing In conjunction with the 7th IEEE International Conference on Fog and Edge Computing (ICFEC 2023) May 1-4, 2023 Bangalore, India https://ccgrid2023.iisc.ac.in ==================== The 23rd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in distributed systems, ranging from computing clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog and Edge Computing to support Internet of Things (IoT) and Big Data applications. The conference will feature keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2023 conference. The conference places special emphasis on all aspects of equity, diversity and inclusion in systems research. The conference will be held as an in-person event. We, as the CCGrid community, are committed, both individually and collectively, to nurturing diversity and inclusion, sustaining a climate of mutual respect, and fostering a collaborative and supportive environment wherein everyone is empowered to succeed. -------------------------------------- CALL FOR RESEARCH PAPERS AND ARTIFACTS -------------------------------------- We solicit original unpublished research contributions on all aspects of distributed systems and applications in the context of Cluster, Cloud, and Internet computing environments. Topics of interest include but are not limited to: HARDWARE SYSTEMS AND NETWORKING * Storage and I/O Systems; Sustainable and Green Computing; and Architecture, Networking and Data Centers for Cluster, Cloud and Internet Computing. SOFTWARE SYSTEMS AND PLATFORMS * Programming Models and Runtime Systems; Resource Management and Scheduling; Performance Modeling and Evaluation; and Energy-efficient software/applications for Cluster, Cloud and Internet Computing. ML FOR SYSTEMS AND SYSTEMS FOR ML * Techniques, platforms and systems for supporting Machine Learning and Artificial Intelligence applications. * Use of Machine Learning and Artificial Intelligence applications to enhance the performance of cluster, cloud and Internet-computing systems. FUTURE COMPUTE CONTINUUM * Internet Computing Frontiers: Cloud, Edge, Fog, Serverless; Future Internet: 5G/6G, SDN; Osmotic Computing; Cloud-Economics and Trustworthiness; Post- and Non-Von Neumann Computing, Quantum computing and Neuromorphic computing. APPLICATIONS AND TRANSLATION * AI/ML, Cyber-Physical Systems, e-Health, IoT, Digital Twins, Autonomous systems, Cyber-Security, Privacy, and Enterprise applications for Cluster, Cloud and Internet Computing; Applications for Cloud-to-Things continuum. *** ARTIFACTS *** Starting this year, CCGRID will be accepting code/data artifacts as supplemental material for accepted papers. These will be reviewed by an Artifact Evaluation committee, examining 1) if the artifacts are available and 2) if they are evaluated, and those that pass will be awarded Reproducibility Badges, specifically 1) "Open Research Objects (ORO)" and 2) "Research Objects Reviewed (ROR)", for the accepted paper on IEEE Xplore. Submission of the artifacts is optional, and will be solicited after the research paper acceptance. More details will be posted soon. *** GUIDELINES *** Manuscripts should not exceed 10 pages, excluding references, using the IEEE format for conference proceedings. Authors of accepted manuscripts may purchase up to two additional pages. Papers in the main research track will follow a double-blinded review process. Accepted papers will be published through the IEEE CS Conference Publication Services and available online at IEEE Xplore. The conference will be held in person physically. At least one author of each accepted paper must register and present their work in-person at the conference. Best Paper Awards will be presented to the author(s) of top papers selected by the Program Committee. For more details see https://ccgrid2023.iisc.ac.in --------------------------- CALL FOR WORKSHOP PROPOSALS --------------------------- We invite proposals for workshops to be co-located with CCGrid 2023. Workshops provide a forum for discussion among researchers and practitioners on focused topics or emerging research areas relevant to the CCGrid community. Workshops may include a combination of invited talks, panel discussions, presentations of work in progress, and peer-reviewed short/full papers. Workshops are typically scheduled for half a day. Peer reviewed papers accepted to workshops will be published as a companion proceeding (CCGRIDW) through the IEEE CS Conference Publication Services and available online at IEEE Xplore digital library. A PDF version of the workshop proposal should be submitted by email to the Workshops Chairs (amini(a)louisiana.edu and nitin(a)iitrpr.ac.in). For more details see https://ccgrid2023.iisc.ac.in ---------------- CALL FOR POSTERS ---------------- The research poster session offers a chance to present early research ideas, late-breaking results, and novel perspectives on Cluster, Cloud and Internet computing at the CCGrid conference. We welcome submissions from academia, industry and labs to submit posters on topics of interest similar to those of the main conference tracks listed above. The authors are invited to submit 2-page extended abstracts for the poster, excluding references, using the IEEE 2-column format for conference proceedings. The submissions will undergo a single-blinded review process. The extended abstracts of the accepted posters will be published as a companion proceeding (CCGRIDW) through the IEEE CS Conference Publication Services and available online at IEEE Xplore digital library. The conference will be held in person physically. At least one author of each accepted paper must register and present a poster version of their extended abstract in-person at the conference. Best Poster Awards will be presented to the author(s) of top papers selected by the Program Committee. For more details see https://ccgrid2023.iisc.ac.in ------------------------------------------------ CALL FOR EARLY CAREER & STUDENT SHOWCASE POSTERS ------------------------------------------------ Early Career and Students' Showcase of CCGrid 2023 provides a forum for students and early career researchers a chance to have discussions, solicit feedback on their research, and gain mentorship on their careers from experts attending the conference. We invite poster submissions to this showcase on novel research ideas, work-in-progress, or a summary of the dissertation work conducted in the broad areas of Cluster, Cloud and Internet computing, on topics of interest aligned with the main conference tracks listed above. The first author of the submission must be a student enrolled in a doctoral or Masters? degree program at an academic institution, a postdoctoral researcher, or an early career researcher having a Masters' or Doctoral degree within the last 5 years. The authors are invited to submit 2-page extended abstracts for the poster, excluding references, using the IEEE 2-column format for conference proceedings. The submissions will undergo a single-blinded review process. The extended abstracts of the accepted posters will be published as a companion proceeding (CCGRIDW) through the IEEE CS Conference Publication Services and available online at IEEE Xplore digital library. The conference will be held in person physically. The student/early career author each accepted paper must register and present a poster version of their extended abstract in-person at the conference. Limited travel grants will be available to students and early career researchers. Best Poster Awards will be presented to the author(s) of top papers selected by the Program Committee. *** MENTORSHIP ACTIVITIES *** Student and early career authors will have the opportunity to have fruitful interactions and networking with other researchers at a similar stage in their careers. There will also be focussed mentoring sessions with experts in the field to offer guidance on research problems and aspects of a successful research career. Students will also have a chance to interact with industry leaders and share their resumes with potential recruiters. For more details see https://ccgrid2023.iisc.ac.in ------------------------------------ CALL FOR SCALE CHALLENGE SUBMISSIONS ------------------------------------ IEEE TCSC International Scalable Computing Challenge (SCALE 2023) is sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC). The objective of the SCALE Challenge is to highlight and showcase real-world problem-solving using computing that scales. Participants in the challenge will be expected to identify significant current real-world problems where scalable computing techniques can be effectively used, and design, implement, evaluate and demonstrate solutions. Problems that have a social impact are of particular interest. Authors are invited to submit 6-page technical paper, excluding references, describing the nature of the problem being solved, the solution technique, and offer preliminary evidence of the scalability achieved. The technical committee will shortlist finalists from these proposals, and invite them to present their work and offer a live demonstration at the CCGrid 2023 conference. The conference will be held in person physically. One author of each accepted paper must register for the conference and present their work and demonstration at a special SCALE Challenge session. A panel of experts will judge and select the IEEE TCSC SCALE Challenge winner. The accepted papers will be published as a companion proceeding (CCGRIDW) through the IEEE CS Conference Publication Services and available online at IEEE Xplore digital library. ----------------------------------- DIVERSITY AND INCLUSION (D&I) TRACK ----------------------------------- CCGrid 2023 is placing an emphasis on diversity and inclusion in systems research. The D&I track at CCGrid 2023 will feature eminent keynote speakers and panel discussions by researchers and practitioners in cluster, cloud and Internet computing from diverse backgrounds. We will also host focused mentorship roundtables and networking sessions for students, faculty members and researchers from traditionally under-represented groups to provide them an opportunity to interact with leading experts from academia and industry. We will be soliciting applications to participate in the D&I track and offer limited travel grants based on need and availability. ------------------ SUBMISSION WEBSITE ------------------ https://easychair.org/conferences/?conf=ccgrid2023 --------------------- IMPORTANT DATES (AoE) --------------------- RESEARCH PAPERS * Abstract Submission: Nov 25, 2022 * Paper Submission: Dec 2, 2022 * Author Notifications: Jan 27, 2023 * Camera Ready: Mar 17, 2023 WORKSHOP PROPOSAL * Proposal submission: October 21, 2022 * Workshop Acceptance Notification: November 15, 2022 SCALE CHALLENGE/POSTERS/EARLY CAREER & STUDENTS' SHOWCASE * Paper Submission: Jan 31, 2023 * Author Notifications: Feb 10, 2023 * Camera Ready: Mar 17, 2023 CONFERENCE DATES: May 1-4, 2023 ------------ SPONSORED BY ------------ IEEE COMPUTER SOCIETY IEEE Technical Community on Scalable Computing (TCSC) IEEE Technical Community on Cloud Computing (TCCLD) ACM Special Interest Group on Computer Architecture (SIGARCH) ---------------------- ORGANIZATION COMMITTEE ---------------------- GENERAL CHAIRS Yogesh Simmhan, Indian Institute of Science (IISc), India Ilkay Altintas, San Diego Supercomputer Center (SDSC), USA PROGRAM COMMITTEE CHAIRS Pavan Balaji, Meta Platforms Inc, USA Ana-Lucia Varbanescu, University of Twente, The Netherlands TRACK CHAIRS HARDWARE SYSTEMS AND NETWORKING Antonio Pena, Barcelona Supercomputing Center (BSC), Spain SOFTWARE SYSTEMS AND PLATFORMS Purushottam Kulkarni, Indian Institute of Technology (IIT) Bombay, India Alexandru Iosup, Vrije University, The Netherlands ML FOR SYSTEMS, AND SYSTEMS FOR ML Min Si, Argonne National Laboratory (ANL), USA Kyle Chard, University of Chicago, USA FUTURE COMPUTE CONTINUUM Guillaume Pierre, University of Rennes, France Maria Carla Calzarossa, University of Pavia, Italy APPLICATIONS AND TRANSLATION David Abramson, The University of Queensland, Australia ARTIFACTS EVALUATION COMMITTEE CHAIRS Daniel S. Katz, University of Illinois at Urbana-Champaign (UIUC), USA DIVERSITY AND INCLUSION CHAIRS Beth Plale, Indiana University, USA Preeti Malakar, Indian Institute of Technology (IIT) Kanpur, India WORKSHOPS CHAIRS Mohsen Amini Salehi, University of Louisiana at Lafayette, USA Nitin Auluck, Indian Institute of Technology (IIT) Ropar, India SCALE CHALLENGE CHAIRS Suren Byna, Lawrence Berkeley National Lab (LBNL), USA Amelie Chi Zhou, Shenzhen University, China RESEARCH POSTERS CHAIRS Sandip Chakraborty, Indian Institute of Technology (IIT) Kharagpur, India Kamer Kaya, Sabanci University, Turkey EARLY CAREER AND STUDENTS SHOWCASE' CHAIRS Tanu Malik, Depaul University, USA Sameer Shende, University of Oregon, USA Nikhil Hegde, Indian Institute of Technology (IIT) Dharwad, India PUBLICITY CHAIRS Antonino Galletta, University of Messina, Italy Bahman Javdi, Western Sydney University, Australia Carlos Westphall, Federal University of Santa Catarina, Brazil Dip Sankar Banerjee, Indian Institute of Technology (IIT) Jodhpur, India Gagangeet Singh Aujla, Durham University, UK Jason Haga, AIST, Japan Jianwu Wang, University of Maryland, Baltimore County, USA Minxian Xu, Shenzhen Institutes of Advanced Technology (SIAT), China LOCAL ORGANIZATION CHAIRS Atul Kumar, IBM Research, India Raj Sharma, Walmart Labs, India Vivek Yadav, International Institute of Information Technology (IIIT), Bangalore, India INDUSTRY ENGAGEMENT AND SPONSORSHIP CHAIRS Raj Sharma, Walmart Labs, India Prasant Misra, TCS, India TRAVEL GRANTS CHAIRS Subhajit Sidhanta, Indian Institute of Technology (IIT) Bhilai, India Sandra Gesing, University of Illinois Chicago, USA PROCEEDINGS CHAIRS Abhinandan S.P., National Institute of Engineering (NIE), Mysore, India Lorenzo Carnevale, University of Messina, Italy CLOUD@INDIA ADVISORY COMMITTEE Umesh Bellur, Indian Institute of Technology (IIT) Bombay, India Puru Kulkarni, Indian Institute of Technology (IIT) Bombay, India Amith Singhee, IBM Research, India Dinkar Sitaram, Cloud Computing Innovation Council of India (CCICI), India Kishore Kothapalli, International Institute of Information Technology (IIIT) Hyderabad, India Lakshmi J., Indian Institute of Science (IISc), India Rajeev Shourey, Indian Institute of Technology (IIT) Delhi, India Satish Srirama, University of Hyderabad, India CONFERENCE TREASURERS Omer Rana, Cardiff University, UK Chandrashekhar Sahasrabudhe, ACM India WEB CHAIRS Debadatta Mishra, IIT-Kanpur, India Saurabh Kumar, IIT-Kanpur, India STEERING COMMITTEE CHAIRS Rajkumar Buyya, University of Melbourne, Australia Pavan Balaji, Meta Platforms Inc, USA ~~~~~~~~~~~~~~ We, as the CCGrid community, are committed, both individually and collectively, to nurturing diversity and inclusion, sustaining a climate of mutual respect, and fostering a collaborative and supportive environment wherein everyone is empowered to succeed. Authors and participants are encouraged to read the ACM Code of Ethics and Professional Conduct and the ACM Policy Against Harassment, and IEEE Computer Society's expectation of professional behavior found in the IEEE Computer Society Open Conference Statement, the IEEE Event Conduct and Safety Statement, and the IEEE Code of Ethics. ~~~~~~~~~~~~~~

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3 year ML/Optimisation postdoc
by Uwe Aickelin 01 Nov '22

01 Nov '22

I'm looking for a postdoctoral researcher to work with me as part of the Melbourne ARC Hub for Digital Bioprocess Development. This 3-year position will examine how relatively sparse high-quality data can be supplemented with lower quality data to enable ‘multi-fidelity’ optimisation for improved decision support for bioprocesses. Deadline 14 Nov, full details here: https://jobs.unimelb.edu.au/caw/en/job/910398/postdoctoral-research-fellow-… -- Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect – 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin

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[CFP] AMPM 2022: 2nd Workshop in Agent-based Modeling & Policy-Making
by Giovanni Sileno 25 Oct '22

25 Oct '22

================================================================= AMPM 2022: 2nd Workshop in Agent-based Modeling & Policy-Making ================================================================= in conjunction with JURIX 2022, the 35th International Conference on Legal Knowledge and Information Systems. Workshop date: December 14th, 2022, Saarbrücken, Germany (the workshop will be conducted as a hybrid event). Deadline for submission: November 4th, 2022. Motivation ----------------- Global financial and economic crises, critical technological dependencies, pandemics, and climate change have cast serious doubts on the adequacy of conventional policy-making and law-making to consider mechanisms underlying social and economic phenomena. From their original application in engineering and science, computational models are increasingly being used to guide decisions by studying their potential consequences prior to making them. They are proposed as a tool for evidence-based policy-making in a diverse set of contexts: public health, ecology, labour markets, urban planning, social security, crime mitigation, economic development, platform economy and techno-regulation. Motivated by such widespread deployment, work on using computational models beyond executive policies and towards law-making — i.e. beyond operational guidance and towards regulation circumscribing the space in which policies can operate — is gaining momentum. Existing computational approaches to policy and normative design are known to face persisting complementary challenges: formal validity; effectiveness; efficiency; sustainability, etc. Several disciplines have focused on distinct aspects of these dimensions (e.g. computational legal theory, game theory, control systems design, dynamic systems, and system dynamics), offering alternative methodological standpoints and computational tools. Unfortunately, these specialized domains rarely interoperate and frequently contain troublesome assumptions such as overly simplistic fully observable static environments, static pay-off tables, static semantics, homogeneous agents that are perfectly rational and/or controllable. The resulting reduced views fail to take into account possible phenomena occurring at the boundaries between areas of concern. A crucial integrating role can be played by agent-based modelling (ABM). Based on an interactionist metaphor, agent-based models are an effective tool for understanding and reproducing the functioning and generation/emergence of complex macro-dynamics and constructs (shared knowledge, practices, protocols of interaction) at an aggregate level. Applied in social contexts, and particularly within the frame of computational social science (CSS), ABM lends itself to regulators and policymakers but also more widely to judges, attorneys, and legislators. Topics ----------------- AMPM is envisioned to be complementary to the traditional scope of computational social science, complex system research, and agent-based modeling, focusing on three main tracks: - models/theories going beyond policies, targeting normative and cognitive phenomena; - empirical methods, associated with the practice of ABM in policy and norm-making contexts; - better, dedicated tooling, such as computational methods, languages, and interfaces. In perspective, the workshop creates space for the ABM call for a “computation-enhanced regulatory empiricism”, exploiting computation to investigate factual underpinnings of the legal phenomenon, like the intricate networks of cognitive, social, technological, and legal mechanisms through which law emerges, is applied, and exerts its effects. Scope ----------------- The workshop aims to attract participants from various disciplines, and to be of interest to anyone working with the domain of governance of large-scale self-adaptive systems (human, computational, or natural): policy-making and normative design, governance, (computational) social science, (computational) legal theory, (computational) economics, autonomic computing, techno-regulation, distributed systems, agent-based modelling, and complexity science. Participation and Submission --------------------------------------------------- People interested in participating are requested to submit short (max 6 pages) or long papers (max 10 pages) before the November 4th 2022 via easychair: https://easychair.org/conferences/?conf=ampm2022. Please use the CEURART 1-col style to prepare your submission. The typical submission for AMPM would be a reduced but self-complete and convincing version of a study (model, method, tool, theory, ..) — ongoing work to be later submitted to larger venues as AAMAS or similar —, or an innovative/provocative position paper, or a sound research stub with respect to the challenges expressed above. Authors of the accepted papers will present at the workshop. Presented papers can then be accepted or conditionally accepted for publication in the open-access CEUR workshop post-proceedings. A second round of reviews will be conducted on the camera-ready version to support that feedback and discussions are adequately integrated. Organizers ----------- Giovanni Sileno, University of Amsterdam, the Netherlands Christoph Becker, Flemish Institute for Technological Research (VITO), Belgium Nicola Lettieri, INAPP (National Institute for Public Policy Analysis) and University of Sannio, Italy Program Committee ------------------ Christopher Frantz, Norwegian University of Science and Technology (NTNU) Charlotte Gerritsen, Vrije Universiteit (VU), Amsterdam Marina De Vos, University of Bath Davide Marocco, University of Naples "Federico II" Nieves Montes, Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona Fernando Pascoal Dos Santos, University of Amsterdam Gary Polhill, James Hutton Institute Davide Dell'Anna, Delft University of Technology Margherita Vestoso, University of Sannio Veronika Fikfak, University of Copenhagen Vitor V. Vasconcelos, University of Amsterdam Nadia Giuffrida, Polytechnic University of Bari Parantapa Bhattacharya, Biocomplexity Institute & Initiative, University of Virginia Isaak Mengesha, University of Amsterdam Michael Carl Tschantz, International Computer Science Institute (ICSI), Berkeley Alessandro Pluchino, University of Catania Wander Jager, University of Groningen Mostafa Mohajeri Parizi, University of Amsterdam Dominique Blouin, Télécom Paris Sebastian Benthall, New York University School of Law Important Dates --------------------------------- Submission deadline: 4 November 2022 until 23:59, Notification of acceptance: 18 November 2022 Workshop: 14 December 2022 (hybrid) Further information on: https://ampmresearch.github.io/

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CALL FOR WORKSHOP PROPOSALS: IEEE/ACM CCGrid 2023
by Bahman Javadi 12 Oct '22

12 Oct '22

CALL FOR WORKSHOP PROPOSALS The 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2023)https://ccgrid2023.iisc.ac.in May 1 - 4, 2023, Bangalore, India The International Symposium on Cluster, Cloud and Internet Computing (CCGRID) invites proposals for workshops to be co-located with CCGRID 2023. Workshops provide a forum for discussion among researchers and practitioners on focused topics or emerging research areas relevant to the CCGRID community. Organizers may structure workshops as they see fit, including invited talks, panel discussions, presentations of works in progress, peer-reviewed short/full papers, or a combination of the above. Workshops are typically held on the first day of the conference (May 1, 2023) in parallel tracks, and are recommended to be scheduled for half a day (3 hours of technical program), but could be proposed for a full day (6 hours) depending on the interest and space constraints. Organizers should design workshops for approximately 20 to 40 participants, to balance impact and effective discussion. Peer-reviewed papers accepted by the workshops will be published in the CCGRIDW 2023 companion proceedings to be published online in the IEEE Explore digital library. Each paper must have at least two reviews to be eligible to appear in the proceedings. All authors and presented at the workshop should register for the CCGRID conference at the regular registration rates. One complimentary registration will be provided to a keynote speaker for each workshop. Submission Requirements Workshop proposals must be submitted in PDF format and should include: 1. The name and acronym of the workshop. 2. A brief description of why and to whom the workshop is of interest, and how it is aligned with/complements the topics of CCGRID. 3. The names, affiliation, emails, and short bio (up to 10 lines) of the workshop organizers and program committee chairs, and their prior experience with organizing workshops/conferences. 4. a list of potential program committee members. 5. A description of the structure of the workshops (papers, invited talks, panel discussions, and so on) and its draft schedule for a half or full day event. 6. Estimated number of papers to be solicited and accepted, invited talks, potential number of attendees expected. 7. Data about previous editions of the workshop (if any), including whether it was co-located with CCGRID, the attendance, the number of papers or presentations submitted and accepted, and the links to the corresponding websites. 8. A publicity plan for attracting submissions and attendees. 9. A draft call for papers with deadlines (see recommended dates below). Worksop Proposal Submission and Review A PDF version of the workshop proposal should be submitted by email to both workshop chairs (email addresses given below). The workshop proposal will be reviewed by the CCGRID workshop chairs and a review panel, and notified of the decision, including suggestions for improvement. Important Dates for Workshop Proposal Deadline for workshop proposals: October 21, 2022. Workshop acceptance notification: November 15, 2022. Important Dates for Workshop Organization The acceptance notification and camera ready submission deadline should match the dates below. The paper submission deadline may be adjusted based on the workshop organizer preferences. Workshop paper submission deadline: January 6, 2023. Workshop paper acceptance notification: February 10, 2023. Camera ready paper submission: March 17, 2023. Workshop Chairs For further enquiries or information, please contact: Mohsen Amini Salehi, University of Louisiana at Lafayette, USA (amini(a)louisiana.edu) Nitin Auluck, Indian Institute of Technology Ropar, India (nitin(a)iitrpr.ac.in)

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2023 Luis W. Alvarez Postdoc Fellowship and Admiral Grace Hopper Postdoc Fellowship at Berkeley Lab
by Esmond G. Ng 10 Oct '22

10 Oct '22

Berkeley Lab is now accepting applications for the 2023 Luis W. Alvarez Postdoctoral Fellowship and the 2023 Admiral Grace Hopper Postdoctoral Fellowship in the Computing Sciences Area. Apply now for these two prestigious fellowships! Researchers in computer science, mathematics, or any computational science discipline who have received their Ph.D. within the last three years (i.e., no earlier than January 1, 2020 and no later than September 30, 2023) are encouraged to apply. The successful applicants will receive a competitive salary, professional travel allowance, relocation assistance, excellent benefits, and an opportunity to work in the San Francisco Bay Area. Since its founding in 2002, the Luis W. Alvarez Fellowship has cultivated exceptional young scientists who have gone on to make outstanding contributions to computational and computing sciences. The Admiral Grace Hopper Fellowship was established in 2015. Additional information on the Luis W. Alvarez Postdoctoral Fellowship and the Admiral Grace Hopper Postdoctoral Fellowship can be found at https://cs.lbl.gov/careers/computing-fellowships/. Berkeley Lab’s Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of computer science, mathematics, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as materials science, chemistry, biology, astrophysics, climate change, combustion, and fusion energy. Research areas in Computing Sciences include but are not limited to: developing scientific applications and software technologies for extreme-scale and energy-efficient computing; developing mathematical modeling for complex scientific problems; designing algorithms to improve the performance of scientific applications; researching digital and post-digital computer architectures for science; advancing extreme-scale scientific data management, analysis, and machine-learning; developing next-generation machine learning and AI approaches for science; advancing quantum computing technologies, software, algorithms and applications; evaluating or developing new and promising HPC systems and networking technologies researching methods to control and manage dynamic circuit networks; developing large-scale visualization and analytics technologies; and managing scientific data in distributed environments. Application Process: For consideration applications are due October 24, 2022. Letters of Reference are due October 31, 2022. Details of the application process can be found by search for job 96569 at https://jobs.lbl.gov/.

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Call for Nominations (CFN) - 2022 IEEE TCSC Award for Excellence (Technical Achievement)
by Arne Wilston 08 Oct '22

08 Oct '22

Call for Nominations (CFN) - IEEE TCSC Award for Excellence (Technical Achievement) - 2022 The IEEE TCSC Award for Excellence (Technical Achievement) is awarded for significant and sustained contributions to the scalable computing community through the IEEE Technical Committee on Scalable Computing (TCSC), coupled with an outstanding record of high quality and high impact research. The award consists of a plaque and an honorarium of $1000. The past recipients of the IEEE TCSC award of excellence are: Jack Dongarra (University of Tennessee, USA) in 2008, Rajkumar Buyya (University of Melbourne, Australia) in 2009, William Gropp (University of Illinois at Urbana-Champaign, USA) in 2010, Albert Zomaya (University of Sydney, Australia) in 2011, David Abramson (Monash University, Australia) in 2012, Marc Snir (Argonne National Laboratory, USA) in 2013, Yves Robert (UMR CNRS, ENS Lyon, INRIA, France) in 2014, Ian Foster (University of Chicago and Argonne National Laboratory, USA) in 2015, Sartaj Sahni (University of Florida, USA) in 2016, Laurence T. Yang (St. Francis Xavier University, Canada) in 2017, Minyi Guo (Shanghai Jiaotong University) in 2018, Schahram Dustdar (TU Wien, Austria) in 2019, Jinjun Chen (Swinburne, Australia) in 2020, and Abdulmotaleb El Saddik (University of Ottawa, Canada) in 2021. Nominations: A candidate may be nominated by colleagues/TCSC members or may nominate him/her-self. An individual can nominate at most one candidate for this award. The candidate must be an IEEE, IEEE CS, and TCSC member in good standing. Nomination must be submitted via email to the selection committee chair. A nomination application (as a single PDF file) should contain the following details: 1. Professional Employment Affiliations: List the nominee's current professional affiliations and titles. 2. Citation: Give a brief citation (thirty words or less) precisely stating the most salient reason(s) why the nominee is qualified for the award. 3. Technical Contributions: Describe the nominee's technical achievements in scalable computing as well as significance and impact. (Max 2-page length) 4. TCSC Contribution: Describe the candidate’s service and specific contributions to TCSC. (Max 2-page length) 5. Endorsers: Each nomination must be supported by letter from three at least endorsers. An endorser can endorse only one candidate for this award. The endorsers will be required to comment on the nominee's technical contributions as well as service contributions to the TCSC. The endorsement letters should be included in the nomination package. Important Dates: Nomination Deadline: 31 October 2022 Result Notification: 15 November 2022 Award Selection Committee: The award selection committee will consist of past winners, leaders in the field, as well as members of the TCSC Award Committee. Award Selection Committee: Laurence T. Yang (Chair), St. Francis Xavier University, Canada ( ltyang(a)ieee.org) Bernady O. Apduhan, Kyushu Sangyo University, Japan ( bob(a)is.kyusan-u.ac.jp) Jinjun Chen, Swinburne University of Technology, Australia ( jinjun.chen(a)gmail.com) Jamal Deen, McMaster University, Canada (jamal(a)mcmaster.ca) Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy (beniamino.dimartino(a)unicampania.it)

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Call for Nominations (CFN) - 2022 IEEE TCSC Award for Excellence (ECR)
by Arne Wilston 07 Oct '22

07 Oct '22

Call for Nominations (CFN) - IEEE TCSC Award for Excellence (Early Career Researchers) - 2022 The IEEE TCSC (Technical Committee on Scalable Computing) Award for Excellence (Early Career Researchers) recognizes individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of scalable computing. Typically the candidates are within 5 years of receiving their PhD degree as of January 01 of the year of the award. Nominations: A candidate may be nominated by members of the community.An individual may nominate at most one candidate for this award. Nomination must be submitted via email to the selection committee chair. A nomination application (as a single PDF file) should contain the following details: 1. Name/email of person making the nomination (self-nominations are not eligible); 2. Name/email of candidate for whom the award is recommended; 3. A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE TCSC. 4. CV of the nominee; 5. Up three support letters from persons other than the nominator – these should be collected by the nominator and included in the nomination. Members of selection committee cannot be nominators or referees. Important Dates: Nomination Deadline: October 31, 2022 Results Notification: November 15, 2022 Award Selection Committee: Jinjun Chen (Chair), Swinburne University of Technology, Australia, jinjun.chen(a)gmail.com Bernady O. Apduhan, Kyushu Sangyo University, Japan, bob(a)is.kyusan-u.ac.jp Laurence T. Yang, St. Francis Xavier University, Canada, ltyang(a)stfx.ca Beniamino Di Martino, Universita' della Campania Luigi Vanvitelli, Italy, beniamino.dimartino(a)unina.it Didier El Baz, LAAS-CNRS, France, elbaz(a)laas.fr Award & Presentation Note: Awardees will be presented a plaque and will be recognized by IEEE TCSC in its website, newsletter and archives. The awards for 2022 will be presented at a selected IEEE TCSC sponsored conference.

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Call for Nominations (CFN) - 2022 IEEE TCSC Award for Excellence (MCR)
by Arne Wilston 05 Oct '22

05 Oct '22

Call for Nominations (CFN) - IEEE TCSC Award for Excellence (Middle Career Researchers) - 2022 The IEEE Technical Committee on Scalable Computing (TCSC) is a technical committee within IEEE Computer Society, aimed at fostering research and education in scalable computing with applications. The committee solicits nominations of Middle Career Researcher (MCR) Award. The award includes an award plaque that will be presented at the annual IEEE HPCC conference, along with a public citation for the award on the IEEE TCSC website. IEEE TCSC Award for Excellence (Middle Career Researchers) recognizes individuals who have made distinguished, influential, and on-going yet towards long-lasting contributions in the field of scalable computing with applications. Typically the candidates are within 5 to 15 years of receiving their PhD degree as of January 01 of the year of the award. Nomination Materials: A candidate must be nominated by members of the community. Nominations must be submitted via email to the selection committee chair. A nomination application (as a single PDF file) must consist of the following materials: (1) Name/email of person making the nomination (self-nominations are not eligible) (2) Name/email of the nominee (3) A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE TCSC. (4) CV of the nominee (5) Up to three support letters from persons other than the nominator - these should be collected by the nominator and included in the nomination. Members of selection committee cannot be nominators or referees. Important Dates: Nomination Deadline: October 31, 2022 Results Notification: November 15, 2022 Award Selection Committee: Jinjun Chen (Chair), Swinburne University of Technology, Australia, jinjun.chen(a)gmail.com Bernady O. Apduhan, Kyushu Sangyo University, Japan, bob(a)is.kyusan-u.ac.jp Laurence T. Yang, St. Francis Xavier University, Canada, ltyang(a)stfx.ca Beniamino Di Martino, Universita' della Campania Luigi Vanvitelli, Italy, beniamino.dimartino(a)unina.it Didier El Baz, LAAS-CNRS, France, elbaz(a)laas.fr Award & Presentation Note: Awardees will be presented a plaque and will be recognized by IEEE TCSC in its website, newsletter and archives. The awards for 2022 will be presented at a selected IEEE TCSC sponsored conference.

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Final CFP: IEEE ISPA2022 (Parallel and Distributed Processing with Applications), Dec. 2022
by Jesson Butt 28 Sep '22

28 Sep '22

Final Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: October 7, 2022 (11:59pm UTC/GMT, extended, but firm) Notification: October 31, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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Job Openings: Research Assistant Professor in Computer Science (3 vacancies) at Hong Kong Baptist University
by COMP HKBU 28 Sep '22

28 Sep '22

The Department of Computer Science at Hong Kong Baptist University presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following positions. *Research Assistant Professor in Computer Science (3 vacancies) (PR0174/22-23)* The positions are created and funded as part of the strategic research development initiatives in the Department. The appointees will be provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. The initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter is subject to mutual agreement. For enquiry, please contact Prof. Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found on its website at https://www.comp.hkbu.edu.hk. *Salary will be commensurate with qualifications and experience.* Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably the three best ones out of their most recent publications/works. Those should also request two referees to send in confidential letters of reference, with the PR number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the submission of the application may consider their applications unsuccessful. All application materials including publication samples, and scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is on-going until the positions are filled. URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832 <https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832>*

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CFP: IEEE ISPA2022 (Parallel and Distributed Processing with Applications), Dec. 2022, Melbourne, Australia
by Jesson Butt 21 Sep '22

21 Sep '22

Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: https://edas.info/N30045 Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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CFP: The 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023)
by Bahman Javadi 14 Sep '22

14 Sep '22

=================================== CCGRID 2023: CALL FOR PAPERS =================================== The 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ May 1-4, 2023, Bangalore, Indiahttps://ccgrid2023.iisc.ac.in ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The 23rd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in distributed systems, ranging from computing clusters to widely distributed clouds and emerging Internet computing paradigms such as Fog and Edge Computing for Internet of Things (IoT) and Big Data applications. The conference will feature keynotes, technical presentations, posters, workshops, student symposium, industry interactions, the SCALE Challenge, and the co-located ICFEC conference. ----------------------- Call for Papers ----------------------- We solicit original contributions on all aspects of distributed systems and applications in the context of cluster, cloud, and Internet computing environments. Specific topics of interest include but are not limited to the following: (*) Track 1: Hardware Systems and Networking (for Cluster, Cloud and Internet Computing) + Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge, Big Data platforms, distributed file systems, NoSQL databases, Data lakes, Data fabrics. + Sustainable and Green Computing: Environment-friendly computing ecosystems. Power, cooling and thermal awareness. + Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. Software-Defined Network-enabled Systems. Virtualized hardware: GPUs, tensor processing units, FPGAs and other accelerators. (*) Track 2: Software Systems and Platforms (for Cluster, Cloud and Internet Computing) + Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. + Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques. + Performance Modeling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. + Energy-efficient software/applications. Policies, methods, and tools for Energy-efficient computing. Energy-efficiency evaluation methods, metrics, and tools. Energy consumption models. (*) Track 3: ML for Systems, and Systems for ML + Techniques, platforms and systems for supporting Machine Learning and Artificial Intelligence applications. + Artificial Intelligence: Large Scale Machine Learning, AI frontend and backend systems, AI at the Edge and in the Cloud, cognitive computing, federated learning. + Machine learning/Deep Learning: statistical learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation. + Use of Machine Learning and Artificial Intelligence applications to enhance the performance of cluster, cloud and Internet-computing systems. + ML/AI techniques for workload prediction, application scheduling, resource placement, resiliency, etc. in cluster, cloud and Internet-computing systems. (*) Track 4: Future Compute Continuum + Internet Computing Frontiers: Cloud, Edge, Fog, Serverless, Lambda, Streaming, Highly decentralized approaches to cloud computing, sensor data streaming and computation on the edges of the network, Backend as a Service (BaaS) + Future Internet: 5G/6G and Use cases of 5G/6G system. Software defined networking and 5G/6G. 5G/6G cyber security challenges and concerns Machine learning algorithms for 5G/6G systems. + Osmotic Computing: Cloud Continuum with Osmosis behaviors, Micro Services and MicroData, Functions as a Service (FaaS), Software Defined Membranes. + Cloud-Economics: Trustworthiness of services, ecosystem economics, innovative metering, accounting, billing methods and tools, automated trading and bidding support tools, performance monitoring, optimization, prediction, energy efficiency, sustainability, decision support systems. + Post- and Non-Von Neumann Computing: Neuromorphic computing; Quantum computing, Annealing-based quantum computing, hybrid quantum and classical computing; Approximate, probabilistic, and inexact computing; In-memory processing and memory-based computing; Emerging computing technologies, like analog computing, biologically-inspired computing, memristors. (*) Track 5: Applications and Translation + Data Science, Artificial Intelligence, Machine Learning, Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart Systems and Applications. + Digital Twins: Digital Twins and Industry 4.0. Digital Twins and emerging technologies linked to IoT Platforms, AR/VR. + Autonomous systems: Role of cluster, cloud and Internet computing to support robotics, self-driving cars, autonomous aerial vehicles, etc. + Applications for Cloud-to-Things continuum: Service provisioning and monitoring in a Cloud-to-Things environment; Resource elasticity in Cloud-to-Things contexts; Algorithms and systems for automated elasticity; Blockchain-based resource orchestrator; Machine learning techniques for resource orchestration; Security policies in Cloud-to-Things. + Cyber-Security, Privacy and Resilient Distributed Systems: Distributed Systems security and trust. Access control. Data privacy and integrity. Regulation. Resiliency of service attacks. + Enterprise applications for hybrid clouds, data regulatory and sovereignty concerns, data privacy, auditing and provenance. + AI Application domains: Social networks, healthcare, sustainability, transportation, commerce, neuroscience and cognitive science. ----------------------- Important Dates ----------------------- All deadlines are in Anywhere on Earth (AoE), UTC-12 timezone. + Abstracts: November 25th, 11:59pm + Full Paper: December 2nd, 2022, 11:59pm + Acceptance Notification: Jan 27th, 2023 + Camera Ready Papers: March 17th + Conference: May 1-4, 2023 ----------------------- Paper Submission ----------------------- + Authors are invited to submit papers electronically through the link to be posted shortly. + Page limits: Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures and tables using the IEEE format for conference proceedings. References are not included in the 10-page limit. + Author and reviewer anonymity: All submissions need to be double-blind. Authors should not reveal their identity in their submissions. All references to past work need to be in a third-party form (e.g., instead of saying "in our past work [26] we had done...", you can say "in [26], Chen et. al. had done..."). + Review criteria: All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. + Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the conference program chairs for more information. + The proceedings will be published through the IEEE Press, USA and will be made online through the IEEE and ACM Digital Libraries. + When submitting the final accepted manuscript, authors may purchase up to two additional pages beyond the original 10 pages (excluding references) to address comments received from the reviewers. ----------------------- Best Paper Awards ----------------------- CCGrid will present Best Paper Awards to the top paper(s) selected by the Program Committee. The award will be determined based on review comments and ratings, viewpoints of the technical and scientific merits, impact of the research work on the science and engineering, and the clarity of presentation. ----------------------- Conference Presentation ----------------------- Conference will be held in person, physically. At least one author of each accepted paper must present their work in-person at the conference. In case of exceptional circumstances such as COVID related restrictions, the option to present remotely will be provided. ----------------------- Conference Sponsorship ----------------------- The is expected to be co-sponsored by IEEE and ACM. Approvals are in progress. ----------------------- Code of Conduct ----------------------- CCGrid will act with responsibility as its primary consideration, with Equity, Diversity, and Inclusion as central goals. Authors and participants are encouraged to read the ACM Code of Ethics and Professional Conduct and ACM Policy Against Harassment, and IEEE Computer Society's expectation of professional behavior found in the IEEE Computer Society Open Conference Statement, the IEEE Event Conduct and Safety Statement, and the IEEE Code of Ethics.

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PhD/PostDoc position in GeoComputing/HPC (m/f/x) at LMU Munich
by Marcus Mohr 09 Sep '22

09 Sep '22

======================================================================== Within the project "Multi-physics Simulation for Geodynamics on Heterogeneous Exa-scale Systems (CoMPS)" funded by the German Federal Ministry of Research we have an opening for a PhD/PostDoc in GeoComputing/HPC (m/f/x) The CoMPS project is a collaboration between the GeoComputing group at LMU Munich, the Chair of Informatics 10 (System Simulation) at Friedrich-Alexander-University Erlangen-Nuremberg, the Chair of Numerical Mathematics at TU Munich and the Leibniz Supercomputing Center. CoMPS continues our precursor project TerraNeo (https://terraneo.fau.de) and involves several hot topics in large scale computing, such as e.g. matrix-free iterative solvers, parallel coupling of Eulerian and Lagrangian models, mixed precision, and handling uncertainties. For further details please see: https://www.geophysik.uni-muenchen.de/en/news/open-positions/phd-postdoc-po… Regards Marcus Mohr ======================================================================== Dr.-Ing. Marcus Mohr @> Geophysics - Ludwig-Maximilians-Universitaet Muenchen /? e-mail ... Marcus.Mohr(a)lmu.de |\ Tel ...... +49 (89) 2180-4230 url ...... https://www.geophysik.uni-muenchen.de/~mohr ========================================================================

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CFP: IEEE BDCloud2022 (Big Data and Cloud Computing), Dec. 2022, Melbourne, AUS
by Jesson Butt 08 Sep '22

08 Sep '22

Call for papers: The 12th IEEE International Conference on Big Data and Cloud Computing (BDCloud2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/bdcloud/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Cloud computing is positioning itself as an emerging platform for delivering information infrastructures and resources as IT services. Customers (enterprises or individuals) can provision and deploy Cloud services via pay-as-you-go pricing models saving huge capital investments in their own IT infrastructures. As estimated by IDC, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. BDCloud (Big Data and Cloud Computing) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Big Data and Cloud Computing as well as their synergy. Scope and Topics Topics of particular interest include, but are not limited to: · Fundamentals of cloud computing · Architectural cloud models · Programming cloud models · Provisioning/pricing cloud models · Data storage and computation in cloud computing · Resource and large-scale job scheduling in cloud computing · Security, privacy, trust, risk in cloud and big data · Fault tolerance and reliability in cloud computing · Access control to cloud computing · Resource virtualisation · Monitoring and auditing in cloud · Scalable and elastic cloud services · Social computing and impacts on the cloud · Innovative HCI and touch-screen models and technologies to cloud · Mobile commerce, handheld commerce and e-markets on cloud · Intelligent/agent-based cloud computing · Migration of business applications to cloud · Energy efficient cloud architecture · Energy aware data storage and computation in cloud computing · Energy aware scheduling, monitoring, auditing in cloud · Green Cloud · Cloud use case studies · Big Data theory, applications and challenges · Big Data mining and analytics on Cloud · Big Data Infrastructure, MapReduce and Cloud Computing · Big Data visualization · Large data stream, incremental datasets on cloud · Distributed and federated datasets · NoSQL data stores and DB scalability · Big Data sharing, security, privacy and trust · Big Data placement, scheduling, and optimization · Distributed file systems for Big Data · Big Data processing, resource scheduling and SLA on Cloud · Performance characterization, evaluation and optimization · Simulation and debugging of Big Data systems · Volume, Velocity, Variety, Value and Veracity of Big Data · Storage and computation management of Big Data · Large-scale workflow management in Big Data · Data management and distributed data systems · Big data applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. General Chairs Xuemin Lin, The University of New South Wales, Australia Geoffrey Fox, Indiana University, USA Yun Yang, Swinburne University of Technology, Australia Program Chairs Vladimir Vlassov, KTH Royal Institute of Technology, Sweden Li Li, Monash University, Australia Lina Yao, University of New South Wales, Australia Workshop Chairs Jason Xue, Data61, Australia Ibrahim Khalil, RMIT, Australia

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CFP: IEEE ISPA 2022 (Parallel and Distributed Processing with Applications), Dec. 2022, Melbourne, Australia
by Jesson Butt 08 Sep '22

08 Sep '22

Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: https://edas.info/N30045 Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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PhD position on AI for IoT cybersecurity
by Andrii Shalaginov 07 Sep '22

07 Sep '22

Fully funded PhD fellowship on AI for IoT cybersecurity to work with the project "ENViSEC: Artificial Intelligence-enabled Cybersecurity for Future Smart Environments" at Kristiania University College (Oslo, Norway): https://www.kristiania.no/en/about-kristiania/vacant-positions/ (PhD fellowships in applied information technology) Deadline: 15th of September, 2022 More information about the ENViSEC project: https://smartseclab.com/envisec/ -- Best regards / Med vennlig hilsen, ―- Andrii SHALAGINOV Associate Professor, PhD Program Director, Bachelor of Cybersecurity Head of SmartSecLab School of Economics, Innovation and Technology Kristiania University College

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CFP: Parallel Computational Technologies 2023 (St. Petersburg, Russia, March 28-30, 2023)
by Цымблер Михаил Леонидов ич 07 Sep '22

07 Sep '22

FIRST ANNOUNCEMENT AND CALL FOR PAPERS Parallel Computational Technologies (PCT’2023), 17th International Scientific Conference, March 28-30, 2023, St. Petersburg, Russia http://agora.guru.ru/pavt/eng https://link.springer.com/conference/pct Conference founders: Russian Academy of Sciences (http://www.ras.ru) HPC Consortium of Russian Universities (http://hpc-russia.ru) WELCOME Russian Academy of Sciences, High-Performance Computing Consortium of Russian Universities, Moscow State University, ITMO University, and South Ural State University are jointly organizing the 17th International Scientific Conference on Parallel Computational Technologies (PCT’2023) to be held in St. Petersburg, Russia, March 28-30, 2023. The main purpose of the PCT’2023 conference is to provide an opportunity to report and discuss the results achieved by leading research groups in solving practical issues using supercomputer and neural network technologies. The scope of the conference covers all aspects of the application of cloud, supercomputer and neural network technologies in science and technology such as applications, hardware and software, specific languages and packages. The 38th edition of Top50 of the CIS's most powerful computers will be announced on the first day of the conference. On working days of the conference, a supercomputer exhibition will be organized, where leading manufacturers of hardware and software present their latest products in the field of high performance computing. LANGUAGE The official languages of the Conference are Russian and English. SCOPE The scope of the conference includes, but not limited to, the following topics: * Parallel and distributed computing technologies * Cloud computing * Prospective multiprocessor architectures * Big data and data mining * Artificial neural networks and deep learning * Management, administration, monitoring and testing of multiprocessor systems * Computational Mathematics * Computational Physics * Computational Chemistry * Gas hydrodynamics and heat transfer * High nonlinear and rapid processes in mechanics * Bioinformatics and medicine * Nanotechnology * Geoinformatics * Cryptography * Image processing and visualization * Computer algebra * Supercomputer education. CALL FOR PAPERS PCT’2023 admits papers presenting original contribution that have not been previously published and are not being submitted to another conference or journal. There are three categories of submissions: * Full paper describes the results of completed scientific research (12 to 15 pages in the LNCS one-column page format). * Short paper reports preliminary results of uncompleted scientific research (up to 12 pages in the LNCS one-column page format). * Abstract of the poster contains information about plans and initial results of recently started scientific research (one standard A4 page). Papers may be prepared in LaTeX or MS Word according to the LNCS one-column page format (see guidelines at the conference website http://agora.guru.ru/pavt2023/, "For Authors" section). Papers should be submitted electronically in PDF format through EasyChair system https://easychair.org/conferences/?conf=pct2023 by December 15, 2022. Each paper will be reviewed by three Program Committee members and/or invited experts to ensure high quality and relevance to the conference. At least one author of the accepted paper must attend the conference and present the paper. PROCEEDINGS All accepted full papers will be published in Springer’s Communications in Computer and Information Science series (https://link.springer.com/conference/pct, indexed in Web of Science and Scopus), final approval pending. All accepted short papers and posters will be published electronically and indexed in Russian Science Index. The best short papers will be published (after further revision) in the Computational Mathematics and Software Engineering series of the Bulletin of the South Ural State University (http://vestnikvmi.susu.ru, indexed in Russian Science Citation Index on the Web of Science platform). IMPORTANT DATES * Submission of abstracts: December 1, 2022 * Submission of the papers: December 15, 2022 * Notification of acceptance: February 1, 2023 * Camera-ready version: February 15, 2023 * Registration for participation in supercomputer exhibition: March 1, 2023 * Registration of participants (non-speakers): March 21, 2023 * Conference: March 27, 2023: arrival date March 28-30, 2023: conference work dates March 31, 2023: departure date CONTACT INFORMATION WEB PAGES Conference web site: http://agora.guru.ru/pavt/eng Submission web site: https://easychair.org/conferences/?conf=pct2023. Leonid Sokolinsky, DSc., Prof. (SUSU, Chelyabinsk) Co-chair of the PCT Program Committee E-mail: Leonid.Sokolinsky(a)susu.ru Tel.: (+7-351) 272 35 00 Mikhail Zymbler, DSc., Assoc. Prof. (SUSU, Chelyabinsk) Academic secretary of the PCT Program Committee E-mail: mzym(a)susu.ru Tel.: (+7-351) 267 90 06, ext. 112 PROGRAM COMMITTEE Co-chairs of the Program Committee: Jack Dongarra, University of Tennessee (USA) Leonid Sokolinsky, South Ural State University (Russia) Vladimir Voevodin, corresponding member of RAS, Moscow State University (Russia) Academic secretary of the Program Committee: Mikhail Zymbler, South Ural State University (Russia) Members of the Program Committee: S.V. Ablameyko, Belarusian State University (Republic of Belarus) A.P. Afanasiev, Institute for Systems Analysis RAS (Russia) E.N. Akimova, Institute of Mathematics and Mechanics UrB RAS (Russia) A. Andrzejak, Heidelberg University (Germany) P. Balaji, Argonne National Laboratory (USA) Yu.Ya. Boldyrev, Saint-Petersburg Polytechnic University (Russia) J. Carretero, Carlos III University of Madrid (Spain) R.K. Gazizov, Ufa State Aviation Technical University (Russia) B.M. Glinsky, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.D. Goryachev, Tver State Technical University (Russia) V.P. Il'in, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) H. Kobayashi, Tohoku University (Japan) J. Kunkel, University of Hamburg (Germany) S. Kumar, Rudrapur (India) J. Labarta, Barcelona Supercomputing Center (Spain) A. Lastovetsky, University College Dublin (Ireland) T. Ludwig, German Climate Computing Center (Germany) V.N. Lykosov, Institute of Numerical Mathematics RAS (Russia) D. Mallmann, Julich Supercomputing Centre (Germany) M. Michalewicz, A*STAR Computational Resource Centre (Singapore) V.E. Malyshkin, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.Ya. Modorsky, Perm Polytechnic University (Russia) R. Prodan, Alpen-Adria-Universität Klagenfurt (Austria) A.V. Shamakina, High Performance Computing Center in Stuttgart (Germany) P. Shumyatsky, University of Brasilia (Brazil) H. Sithole, Centre for High Performance Computing (Republic of South Africa) A.V. Starchenko, Tomsk State University (Russia) T. Sterling, Indiana University (USA) M. Taufer, University of Delaware (USA) V.E. Turlapov, State University of Nizhny Novgorod (Russia) R. Wyrzykowski, Czestochowa University of Technology (Poland) M.V. Yakobovsky, Institute for Mathematical Modelling RAS (Russia) Y. Yamazaki, Federal University of Pelotas (Brazil)

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PhD position at the University of Amsterdam
by Zoltán Mann 07 Sep '22

07 Sep '22

The University of Amsterdam is offering a PhD position relating to the security and energy consumption of machine learning in the cloud-to-edge continuum. Deadline for applications: 20 September 2022. More information: https://vacatures.uva.nl/UvA/job/PhD-Position-in-Energy-and-Security-of-Mac…

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Multiple Vacancies at the University for Melbourne
by Uwe Aickelin 06 Sep '22

06 Sep '22

Hi, Hope this message finds you well. Please consider sharing this with any interested researchers. The University of Melbourne’s School of Computing and Information Systems is recruiting for 4x open positions. Application deadlines: Sep 26, 2022 (Australian Eastern Daylight Time) Lecturer/Senior Lecturer in machine learning: https://go.unimelb.edu.au/282e Lecturer/Senior Lecturer in theory of computing: https://go.unimelb.edu.au/f82e Lecturer/Senior Lecturer in information systems: https://go.unimelb.edu.au/482e Senior Lecturer/Associate Professor in fairness: https://go.unimelb.edu.au/h82e (These are continuing positions equiv. US tenure track research & teaching / faculty positions at a range of levels.) We’re excited to invite applications from individuals passionate about research, training, teaching, and engagement, to join us at Australia’s premier university, situated in one of the world’s most liveable cities. Best, Uwe Aickelin -- Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect – 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin

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Postdoc in Machine learning and optimization (France)
by El-ghazali Talbi 05 Sep '22

05 Sep '22

Dear all, please find enclosed a postdoc position in France. regards -- Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS

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(LastCFP Due Sept 03) AHPC/CCCT2022- HPC/Cloud Computing, Hybrid, USA
by Pierre F. Tiako 25 Aug '22

25 Aug '22

The paper submission deadline was extended to Sept 03 due to numerous requests (Heatwave, Summer Break, Pandemic, Start of Semester). --- Call for Abstracts and Papers ------------- AHPC/CCCT2022- HPC/Cloud Computing Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 OkIP Published & Submission to WoS/SCOPUS Submission Deadline Extended: Sept 03, 2022 Extended versions of the best papers will be considered for journal publication. *** Contribution Types (Two-Column IEEE Format Style): - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 page) >>> Cloud Computing and Technologies (CCCT) https://eventutor.com/e/CCCT002 * Areas: - Cloud Concepts - Applications and Services - Security/Privacy/Compliance - Platform/Provisioning/Storage - Infrastructure/AI in the Cloud >>> Advances in High-Performance Computing (AHPC) https://eventutor.com/e/AHPC002 * Areas: - HPC Concepts - Parallel Computing - Mobile & Wireless Computing - Network Architecture/System - HPC AI/Simulation/Security - HPC Applications Please feel free to contact us for any inquiries at: info(a)okipublishing.com

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CFP: IEEE SustainCom 2022 (Sustainable Computing and Communications), Dec. 2022, Melbourne, Australia
by Arne Wilston 25 Aug '22

25 Aug '22

Call for papers: The 12th IEEE International Conference on Sustainable Computing and Communications (IEEE SustainCom2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/sustaincom/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/sustaincom/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction Sustainable Computing and Communications refers to principles that embrace a range of policies, procedures, programs, and attitudes that run the length and breadth of any use of information and communication technologies. It is a holistic approach that stretches from power to waste to purchasing to education and is a life-cycle management approach to the deployment of IT across an organization. It includes designing, manufacturing, using, and disposing of information and communication systems with minimal or no impact on the environment. SustainCom (Sustainable Computing and Communications) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest fundamental advances in the state of the art and practice of Sustainable Computing andCommunications as well as innovative applications. Scope and Topics Track 1: Sustainable Computing and Communications · Theoretical Aspect of Energy, Power, and Temperature · Algorithms for Reduced Power, Energy and Heat · Power-aware Design of Software, Middleware and Systems · Power-aware Networking · Real-time systems · Power-efficient Computing Architectures · Efficient Circuit Design for Energy Harvesting · Power Management in Memory, Disk, Storage and other peripheral Devices · Configurable and Renewable Energy · Low Power Electronics · Energy Efficient Network Hardware · Energy-Efficient Communication Protocols · Low power Communication Technologies · Embedded Systems, ASICs and FPGSs · Power Leakage and Dissipation · Code Profiling and Transformation for Power Management · Power-aware Scheduling and Resource Allocation · Energy-efficient Wireless/Mobile/Sensor Systems and Networks · Security and Privacy · Wearable Computing · Ecological Monitoring, Analytics and Visualization · Green Communications Architectures and Frameworks · Green Data Centres and Enterprise Computing · QoS and Green Computing · Integration of Smart Appliances · Green Software Engineering Methodologies and Tools · Virtualization Impact for Green Computing · Case Studies on Green Computing and Communications · Green Computing Models, Methodologies and Paradigms Track 2: Sustainable Systems and Technologies · Sustainable Architectures for Smart Grids · Smart Grid Security, Reliability and Load Balancing · Energy Management Systems (EMS) · Economic Models of Energy Efficiency · Energy Monitoring, Profiling and Measurement · Renewable Energy Systems and Harvesting Energy (e.g. Solar, Wind) · Greener Systems Planning and Design · Virtualization for Reducing Power Consumption · Evolutionary Algorithms in Energy Applications · Scheduling and Switching Power Supplies · Optimization Techniques for Efficient Energy Consumption · Reliability of Power-aware Computers · Runtime Systems that Assist in Power Saving · Models for Collective Optimization of Power and Performance · Monitoring Tools for Power and Performance of Parallel and Distributed Systems · Use of Sensors for Environmental Monitoring · Smart Control for Eco-friendly Buildings Track 3: Sustainable Methodologies and Applications · Smart City (Sustainable Design, Models, Frameworks, Policies and Strategies) · Smart City (Sustainable Integration and Optimization of Comprehensive Resources and information Flows - energy, emissions, people, goods and services) · Sustainable Energy Generation, Transmission, Distribution and Delivery · Smart Buildings and Urban Infrastructures · Smart Grid for Energy Generation, Transmission, Monitoring and Management · Open Government, Open Data Policies, Urban-Scale Data Sharing, Information Security and Privacy · Smart Logistics and Sustainable Supply Chain Management · Smart People, Smart Living and Smart Citizen Engagement · Intelligent Transport Systems and Traffic Management · Smart Energy-efficient Sensor Networks and Internet of Things · Smart Home, Smart Healthcare and Ageing Population support · e-Mobility, e-Work and e-Business Applications · Sustainable Urban Mobility and Smart Vehicle Management · Smart Resource Support and Demand Management and Optimization · User-Centred Services and Systems · Open Big City Data, Cloud Computing, Internet-Enabled Infrastructures and Services for Sustainability · Innovation Labs, Experimental Test-Beds and Simulation Environments · Mechanisms for Motivating Behavior Change · Advanced Data Analytics for Smart Cities · IS Architecture Design and Platform for Sustainability · Case Studies and Innovative Applications for Sustainability Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2022/sustaincom/submission.htm. Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. General Chairs Laurent Lefevre, Inria, France Jianhua Ma, Hosei University, Japan Program Chairs Xuyun Zhang, Macquarie University, Australia Trung Q. Duong, Queen’s University Belfast, UK

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CFP: IEEE BDCloud 2022 (Big Data and Cloud Computing), Dec. 2022, Melbourne, Australia
by Jesson Butt 23 Aug '22

23 Aug '22

Call for papers: The 12th IEEE International Conference on Big Data and Cloud Computing (BDCloud2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/bdcloud/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Cloud computing is positioning itself as an emerging platform for delivering information infrastructures and resources as IT services. Customers (enterprises or individuals) can provision and deploy Cloud services via pay-as-you-go pricing models saving huge capital investments in their own IT infrastructures. As estimated by IDC, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. BDCloud (Big Data and Cloud Computing) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Big Data and Cloud Computing as well as their synergy. Scope and Topics Topics of particular interest include, but are not limited to: · Fundamentals of cloud computing · Architectural cloud models · Programming cloud models · Provisioning/pricing cloud models · Data storage and computation in cloud computing · Resource and large-scale job scheduling in cloud computing · Security, privacy, trust, risk in cloud and big data · Fault tolerance and reliability in cloud computing · Access control to cloud computing · Resource virtualisation · Monitoring and auditing in cloud · Scalable and elastic cloud services · Social computing and impacts on the cloud · Innovative HCI and touch-screen models and technologies to cloud · Mobile commerce, handheld commerce and e-markets on cloud · Intelligent/agent-based cloud computing · Migration of business applications to cloud · Energy efficient cloud architecture · Energy aware data storage and computation in cloud computing · Energy aware scheduling, monitoring, auditing in cloud · Green Cloud · Cloud use case studies · Big Data theory, applications and challenges · Big Data mining and analytics on Cloud · Big Data Infrastructure, MapReduce and Cloud Computing · Big Data visualization · Large data stream, incremental datasets on cloud · Distributed and federated datasets · NoSQL data stores and DB scalability · Big Data sharing, security, privacy and trust · Big Data placement, scheduling, and optimization · Distributed file systems for Big Data · Big Data processing, resource scheduling and SLA on Cloud · Performance characterization, evaluation and optimization · Simulation and debugging of Big Data systems · Volume, Velocity, Variety, Value and Veracity of Big Data · Storage and computation management of Big Data · Large-scale workflow management in Big Data · Data management and distributed data systems · Big data applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. General Chairs Xuemin Lin, The University of New South Wales, Australia Geoffrey Fox, Indiana University, USA Yun Yang, Swinburne University of Technology, Australia Program Chairs Vladimir Vlassov, KTH Royal Institute of Technology, Sweden Li Li, Monash University, Australia Lina Yao, University of New South Wales, Australia Workshop Chairs Jason Xue, Data61, Australia Ibrahim Khalil, RMIT, Australia

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CFPs CLSP 2022 International Conference on Changing Landscape in the Semiconductor Packaging (CLSP)
by Hana GHARRAD 22 Aug '22

22 Aug '22

********************************************************************************** INTERNATIONAL CONFERENCE ON CHANGING LANDSCAPE IN THE SEMICONDUCTOR PACKAGING Date: December 12-13, 2022 Location: Madeira, Portugal Website: http://wsconf.org/Conference/CLSP ********************************************************************************** Semiconductor Packaging is progressively driving chip development, and the heterogeneous mix is at the front line of these mechanical advances that are expanding the intricacy of semiconductor plans and testing. To assist with beating this test, chip originators are sending state-of-the-art advancements like enormous information and computerized reasoning (AI) to make testing more proficient and powerful. The Digital Transformation of Electronics Packaging, especially of ICs (Integrated Circuits), Sensors and MEMS (Micro-Electro-Mechanical Systems), MOEMS (Micro-Optoelectronic Mechanical Systems), and Photonics passes on is acquiring and more importance in the present business applications. Particularly for AI, AR/VR, and IoT the presentation, form factor, and cost are huge markers. Scaling down and an expanding level of joining at bundling level targets greater usefulness on less space, which is promising higher framework execution, more modest framework size, and lower framework cost. This requires a framework-level methodology with Chip-Package-Board co-plan and co-improvement with close participation along with the total semiconductor inventory network. Changing Landscape in the Semiconductor Packaging (CLSP) Conference is devoted to uniting countless different academic occasions for show inside the meeting program. Occasions will run throughout a range of time during the gathering relying upon the number and length of the introductions. With its great, it offers an extraordinary benefit for understudies, scholastics and semiconductor’s industry scientists. Important Dates: ---------------- - Paper Submission Due: September 19, 2022 - Acceptance Notification: October 10, 2022 - Final Manuscript Due: November 18, 2022 Publication ---------------- All CLSP 2022 accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier on www.Elsevier.com<http://www.elsevier.com/> and on Elsevier content platform ScienceDirect (www.sciencedirect.com< http://www.sciencedirect.com/>), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com< http://www.scopus.com/>) and by Thomson Reuters? Conference Proceeding Citation Index ( http://thomsonreuters.com/conference-proceedings-citation-index/). All papers in Procedia will also be indexed by Scopus (www.scopus.com< http://www.scopus.com/>) and Engineering Village (Ei).This includes EI Compendex (www.ei.org/compendex<http://www.ei.org/compendex>). Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/). The papers will contain linked references, XML versions and citable DOI numbers. Selected papers will be invited for publication, in the special issues of: - International Journal of Intellectual Property Enforcement, Technology Transfer and Innovation in China's Semiconductor Industry, SSRN ( https://www.journals.elsevier.com/journal-of-public-transportation) Papers on either completed or ongoing research are invited in the following and related tracks: http://wsconf.org/Conference/CLSP CLSP 2022 will be held in the city of Madeira. It is an autonomous region of Portugal and is an archipelago comprising 4 islands off the northwest coast of Africa. Madeira is home to The University of Madeira created in 1988 in Funchal, Madeira. Conference Tracks =============== Track 1: HETEROGENEOUS INTEGRATION (HI) Track 2: ADVANCED PACKAGING ROADMAP AND MARKET UPDATES • The Growing Momentum of Heterogeneous Integration • Challenges for Heterogeneous Integration in Package – Applications • Driving Materials and Processes towards Diversity • Micro Balling on Chips with a High Ball-count for Space Applications • Big Data and Vehicle Analytics • Vehicular Networks • Security and Safety Track 3: PACKAGING TECHNOLOGY & PROCESSES • Active Mold Packaging for Novel Antenna-in-Package Interconnection and Manufacturing • High Throughput & High Yield Heterogeneous Integration with Implemented Metrology for Collective D2W Bonding • High Throughput & High Yield Heterogeneous Integration with Implemented Metrology for Collective D2W Bonding Track 4: PACKAGE SIMULATION, EVALUATION & CHARACTERIZATION • Heterogeneous Integration Test Impacts • 3D Bump Metrology and Inspection • Intelligent Infrastructure and Guidance Systems • Intertwined development of manufacturing processes and test technologies – a prerequisite for future success in advanced packaging • Virtual Prototyping for System-in-Package with Heterogeneous Integration Track 5: CASE STUDIES OF ENABLING DIGITALIZATION IN KEY INDUSTRIES WITH ADVANCED PACKAGING SOLUTIONS Track 6: UPDATES IN MANUFACTURING EQUIPMENT WITH ADVANCED CAPABILITIES • Processing of new functional materials • Manufacturing process IP Track 7: DESIGN FOR RELIABILITY AND PERFORMANCE • EDA (Electronic Design Automation) • Simulation tools and methods for enhancing SiP • Chip-Package-Board co-design Committees ========== Committee Members: Dr Panagiotis Alevyzakis, Universita degli Studi Guglielmo Marconi, Italy. CONTACT For more information, please send an email to clsp(a)wsconf.org https://wsconf.org

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CFP: IEEE ISPA2022 (Parallel and Distributed Processing with Applications), Dec. 2022, Melbourne, Australia
by Jesson Butt 22 Aug '22

22 Aug '22

Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: https://edas.info/N30045 Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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[CFP] ACM e-Energy 2023 Call for Papers
by Tan Rui (Assoc Prof) 11 Aug '22

11 Aug '22

░░░░░░ ACM e-Energy 2023 Call for Papers ░░░░░░ [Apology if you receive multiple copies of this message] Orlando, Florida during June 16 - 23, 2023 Detailed CFP can be found at https://energy.acm.org/conferences/eenergy/2023/cfp.php Submission site: https://eenergy23.hotcrp.com> ACM e-Energy is the premier forum for research at the intersection of computing and communication technologies with energy systems. It has established a strong track record for high-quality research in the application of computing and networked systems to make legacy systems more energy-efficient and in the design, analysis, and development of sustainable and innovative energy systems. The 14th ACM International Conference on Future Energy Systems (ACM e-Energy 2023) and its co-located tutorials and workshops will be held in Orlando, Florida during June 16 - 23, 2023. By bringing together researchers in a single-track conference designed to offer significant opportunities for personal interaction, it is a major forum for shaping the future of this area. ACM e-Energy 2023 will be held jointly with ACM Federated Computing Research Conference (FCRC) 2023 (https://fcrc.acm.org/), which assembles a spectrum of affiliated research conferences and workshops. ACM e-Energy 2023 attendees are free to attend the technical sessions of all FCRC conferences and workshops. We seek high-quality papers at the intersection of computing and communication technologies with smart and sustainable energy systems. We welcome submissions describing conceptual advances, as well as advances in system design, implementation, and experimentation, and we explicitly welcome inter- or trans-disciplinary work. ACM e-Energy is committed to a fair, timely, and thorough review process with sound and detailed feedback. IMPORTANT DATES Fall Deadline (1st deadline) September 16th, 2022, 23:59 AoE: Abstract registration deadline September 23th, 2022, 23:59 AoE: Paper submission deadline November 4th, 2022: Author notification (accept, reject, or revise-&-resubmit) November 25th, 2022, 23:59 AoE: Revision submission deadline December 9th, 2022: Revision notification December 19th, 2022, 23:59 AoE: Camera-ready submission Winter Deadline (2nd deadline) January 27th, 2023, 23:59 AoE: Abstract registration deadline February 3rd, 2023, 23:59 AoE: Paper submission deadline March 31st, 2023: Author notification (accept, reject, or revise-&-resubmit) April 21st, 2023, 23:59 AoE: Revision submission deadline May 12th, 2023: Revision notification May 26th, 2023, 23:59 AoE: Camera-ready submission Relevant topics for ACM e-Energy include, but are not limited to the following: AI/ML and data analytics, e.g., for tackling climate impact of energy systems Algorithmic approaches to energy system problems Applications of cyber-physical systems and Internet-of-Things (IoT) to smart energy systems Modelling and analysis of multimodal and cross-sectoral energy systems Automation and control of smart grids Demand-side management, including innovative pricing and incentive design Distributed ledger systems for energy systems Economics and business models for smart energy systems, including aggregators and prosumers Electricity market and electricity supply chain measurement, modeling, and analysis Electric vehicles and energy-efficient transportation systems Distributed energy resources, including energy storage and renewable resources Energy-efficient computing and communication, including data centers Measurement and accounting of greenhouse gas emissions arising from the energy sector Microgrid and distributed generation management and control Modeling and understanding user behavior in energy systems Sizing, monitoring, and control of energy systems for smart grids, smart buildings, and smart cities Privacy, cybersecurity, and resiliency of smart grid infrastructure Design, implementation, analysis, and experience with large-scale, operational systems in the field General Chair Kirk W. Cameron (Virginia Tech, USA) Program Chairs Xiaofan (Fred) Jiang (Columbia University, USA) Zheng Ma (University of Southern Denmark, Denmark) Rui Tan (Nanyang Technological University, Singapore) ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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CFP: IEEE ISPA2022 (Parallel and Distributed Processing with Applications), Dec. 2022, Melbourne, Australia
by Jesson Butt 31 Jul '22

31 Jul '22

Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: https://edas.info/N30045 Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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(CFP Due Extended Sept 03) AHPC/CCCT2022- HPC/Cloud Computing, Oct 3-6, Hybrid, USA
by Pierre F. Tiako 15 Jul '22

15 Jul '22

[Due to numerous requests (Heatwave, Summer Break, Pandemic, Start of Semester), the paper submission deadline is extended to Sept 03] --- Call for Abstracts and Papers ------------- AHPC/CCCT2022- HPC/Cloud Computing Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 OkIP Published & WoS/Scopus Indexed Submission Deadline Extended: Sept 03, 2022 Extended versions of the best papers will be considered for journal publication. *** Contribution Types (One-Column IEEE Format Style): - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) >>> Cloud Computing and Technologies (CCCT) https://eventutor.com/e/CCCT002 * Areas: - Cloud Concepts - Applications and Services - Security/Privacy/Compliance - Platform/Provisioning/Storage - Infrastructure/AI in the Cloud * Technical Program Committee https://eventutor.com/event/20/page/58-committee >>> Advances in High-Performance Computing (AHPC) * Areas: - HPC Concepts - Parallel Computing - Mobile & Wireless Computing - Network Architecture/System - HPC AI/Simulation/Security - HPC Applications * Technical Program Committee https://eventutor.com/event/20/page/58-committee Please feel free to contact us for any inquiries at: info(a)okipublishing.com

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CFP-Due July 11: AHPC 2022 High-Performance Computing, Oct 3-6
by Pierre F. Tiako 20 Jun '22

20 Jun '22

[Apologies if you receive multiple copies] --- Call for Abstracts and Papers ------------- 2022 OkIP International Conference on Advances in High-Performance Computing (AHPC) Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 https://eventutor.com/e/AHPC002 OkIP Published & SCOPUS/WoS Indexed Submission Deadline: July 11, 2022 Extended versions of the best papers will be considered for journal publication. * Contribution Types (One-Column IEEE Format Style): - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) * Areas: >> HPC Concepts - High-Performance Computing (HPC) - Performance | Scalability | Virtualization - Visualization | Simulation | Modelisation - Prediction | Program Optimization | Workloads - Algorithms | Networks | Efficiency |Scheduling - Compiler Design and Technologies - HPC Components and Technologies - Data Management and Transport | Compilation - Load Balancing | Resource Management - Fault Tolerance | Reliability | Availability - Multicore Algorithms | Operating System - Software Design and Implementations - Asynchronous Methods | Interconnects - Interconnections | Distributed Computing - High Scalability Computing | Accelerators - High-Performance Modeling/Software/Tools - Routing Protocols | Quality of Service - Allocation Framework | Benchmarks |... >> Parallel Computing - Parallelism | Automatic Parallelization - Programming Languages/Libraries/Tools - Programing Models/Environments - Parallel Metaheuristics/Application-Behavior - Parallel/Distributed Algorithms/Architectures - Energy Factors/Technological Factors - Partitioning and Optimal Scheduling - Systems Performance/Potential/Efficiency - Distributed/Heterogeneous Systems - System Synergy and Optimization - Advances in Parallel Models/Systems/Tools >> Mobile & Wireless Computing - Communication Modeling/Designing/Analysis - Mobile Communication Prediction/Control - Mobile/Wireless Systems-of-Systems - Mobile/Wireless Software and Hardware - Heterogeneous Wireless Networks - Medical Alert Devices/Privacy Consideration - Wireless Sensor Network | IoT Platforms - Mobile Network Loss Issues - Ultra-Dense Networks | Mobile Performance - Sensor Networks and Embedded Applications - Innovative Mobile/Wireless Networks/Systems >> Network Architecture/System - Interconnection Networks and Architectures - Memory Architecture Evaluation - I/O, File Systems, and Memory Systems - Power-Efficiency | Systems-on-Chip - System Modeling Methodologies - Fault-Tolerant Algorithms/Systems - Scalable Servers and Systems - Shared Memory Implementation - Memory Exploitation/Management Techniques - Network Storage Systems and Services - Cluster Management/Architecture - Heterogeneous Architectures/Accelerators - Multi/Many Core/CPU Framework/Systems - Micro-Architecture Techniques - Reconfigurable Architectures/Systems >> HPC AI/Simulation/Security - Surrogate Modeling | Machine Learning - Neural Architecture Performance - Deep Learning | Agent-based Modeling - Intelligent Algorithm| Artificial Neural Network - Distributed Deep Learning Systems - Hybrid/Complex System Modeling/Simulation - Advanced/Stochastic Simulation Frameworks - Security, Policy, and Management Issues - Configuration, Policy, and Management issues - Graph Partitioning/Analysis/Analytics - Spiking Neural P Systems | Data Integrity - Enabling Blockchain-as-a-Service - Fuzzy Logic Approach | Streaming Algorithms - Association Rule Mining | Anomaly Detection - Big Data Analytics and Applications >> HPC Applications - HPC Applications and Case Studies - Grid/Cloud/Fog/Bio-inspired Computing - Scientific/Engineering/Commercial Workloads - Augmented/Virtual Reality - Biotechnology, Nanotechnology, and Finance - Space Research, Urban Planning, and Energy - Teleimmersion | Collaborative Applications - Media/Entertainment Industry | Visualization - Workflow Management | HPC Resiliency - Advanced Computational Methods/Applications >> Important Dates: - Submission Deadline: July 11, 2022 - Notification Due: August 01, 2022 - Camera-ready Due: August 22, 2022 >> Technical Program Committee https://eventutor.com/event/20/page/58-committee Please feel free to contact us for any inquiries at: info(a)okipublishing.com -------- Pierre Tiako General Chair

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A research grant is available within the RIPARTI regional projects
by Massimo Cafaro 17 Jun '22

17 Jun '22

A research grant is available at the University of Salento, Lecce, Italy. The research shall be developed in close collaboration with Echolight (https://www.echolightmedical.com, 12 months out of 18 in total), and is related to the following topic: The main goal of the project is to improve the tuning and calibration process of noninvasive diagnostic imaging devices used for imaging. One of the most critical steps during the implementation of a diagnostic imaging device is its calibration. In fact, poor calibration can lead to unreliable instrument performance with noisy images and the presence of unwanted artefacts that could mislead the diagnosis made by the physician. The calibration phase involves a repeated try-and-check procedure during which the instrument parameters are repeatedly changed in order to obtain images that are sharp and as closely matched as possible to the target reference. This phase often requires considerable time expenditure and expert supervision; moreover, if one considers that calibration is carried out both following the production of the diagnostic instrument but also after several months of its use in the operational context, it is easy to deduce that automating this process on the one hand would improve the diagnostic yield, and on the other hand would reduce downtime and recalibration. The project aims to improve and automate the calibration process by introducing machine learning techniques for image classification. The results of the project find application on all instruments used for imaging, whether they are based on MRI, computed tomography, X-ray or ultrasound techniques. In fact, the goal is to relate the configuration parameters of the instrument to the images it produces in order to eliminate noise and artefacts produced by misconfiguration. Despite this, in the project we will consider as a case study the images produced by an ultrasound-based device produced by Echolight S.p.A. Medical devices produced by Echolight S.p.A. exploit images derived from ultrasound scans (B-Mode) to automatically identify anatomical reference targets (lumbar vertebrae bone interfaces of the L1-L4 tract and proximal femur bone interface). Once the regions of interest (ROIs) are identified, a proprietary algorithm evaluates the spectral characteristics of selected portions of the raw ultrasound signal related to the analyzed bone tissues. From the analysis of the raw signal characteristics, a measure of the bone mineral density (BMD) of the analyzed anatomical sites is determined. In order to provide reliable, repeatable, and accurate BMD measurements, special calibration and testing procedures have been developed, however, which require several manual measurements and checks, resulting in a high human-time commitment and, consequently, introducing a risk of human error on the collection and interpretation of the collected measurements and results. Leveraging the image processing and image classification techniques developed within the project, the algorithm will provide output indicative of the presence of artefacts or other alterations in the performance of the ultrasound system in production in order to possibly intervene with further modifications and calibrations. As part of the project, standard conditions for conducting tests will also be defined through the use of specific ultrasound phantoms provided by the company. Prof. Italo Epicoco (italo.epicoco(a)unisalento.it) is the scientific responsible for this research grant. DEADLINE: June 24, 2022 ALL INCLUSIVE GROSS AMOUNT (for 18 months): 29050,50 euro (i.e., 19367 euro annual gross amount) NOTE: Foreign candidates are strongly encouraged to contact me by email if they need help/support in order to prepare their application: I will be glad to assist. Here are, attached, an unofficial English translation of the call and the corresponding application and self declaration forms, translated in English. NOTE: Foreign candidates are strongly encouraged to contact Prof. Epicoco by email if they need help/support in order to prepare their application: hewill be glad to assist. ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Head of HPC Lab https://hpc-lab.unisalento.it Director of Master in Applied Data Science Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web https://www.massimocafaro.it Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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two research grants available within the RIPARTI regional projects
by Massimo Cafaro 15 Jun '22

15 Jun '22

The first research grant shall be developed in close collaboration with Planetek Italia (12 months out of 18 in total), and is related to the following topic: Machine Learning for Space Weather The proposed research project is concerned with the study of "Space Weather Phenomena" and the development of knowledge about the mechanisms and effects of solar-derived perturbative phenomena developing in circumterrestrial space and impacting the ionized atmosphere (ionosphere). In the project emphasis is given to the study and modeling of the dynamics of the ionospheric plasma and the electron density irregularities in it on a global scale, in order to improve the capability of long-term (24-48 hours in advance) nowcasting and forecasting of the ionospheric response to Space Weather events over the Mediterranean area. The modeling approach is developed through innovative "machine learning" techniques, recently introduced (Cesaroni et al 2020), the results of which point to this as a strategy to extend the time horizon of ionospheric forecasting, a fundamental requirement for increasing knowledge of Space Weather phenomena in near-Earth space. In addition, the growing demand for semi-empirical approaches for real-time mitigation of errors introduced by the ionosphere on positioning and navigation systems makes the proposed topic a significant contribution in the area of "services and research for society" in relation to the strategic objective "Development of a National Space Weather Service" in the context of developing countermeasures to contain the negative effect that the irregular and disturbed ionosphere can have on technological systems in use in modern society such as, for example, navigation and positioning satellite systems (GNSS, GLobal Navigation Satellite Systems), trans-horizon HF radio communications, and L-band satellite communication systems. Such systems are of interest to a variety of end users who can be identified as users of the service in which the developed products may be embedded. Examples of users may include: precision agriculture operators, operators in the field of mapping, aviation, and radio communications operators for emergency management in civil defense. Cesaroni, C., Spogli, L., Aragon-Angel, A., Fiocca, M., Dear, V., De Franceschi, G., & Romano, V. (2020). Neural network based model for global Total Electron Content forecasting. Journal of Space Weather and Space Climate, 10, 11. The second research grant shall be developed in close collaboration with GE Avio (12 months out of 18 in total), and is related too the following topic: Operative Framework For HPC (Off-HPC) High-performance computing (HPC) clouds are becoming a complement or, in some cases, an alternative to on-premise clusters for running scientific-technical, engineering, and business analytics service applications. Most research efforts in the area of cloud HPC aim to analyze and understand the cost-benefit of migrating computationally intensive applications from on-premise environments to public cloud platforms. Industry trends show that on-premise/cloud hybrid environments are the natural path to get the best out of on-premise and cloud resources. Workloads that are stable from the point of view of required computing resources and sensitive from the point of view of the need to protect processed information can be performed on on-premise resources, while peak computational loads can take advantage of remote computing resources available in the cloud typically under a "pay-as-you-go" consumption mode. The main difficulties in using cloud solutions to run HPC applications stem from their characteristics and properties compared to traditional cloud services to handle, for example, standard enterprise applications, Web applications, data storage or backup, or business intelligence. HPC applications tend to require more computing power than application services typically delivered in cloud environments. These processing requirements arise not only from the characteristics of the CPUs (Central Processing Units), but also from the amount of memory and network speed to support their proper execution. In addition, such applications may have a particular and different execution mechanism than dedicated cloud application services that instead run 24/7. HPC applications tend to run in batch mode. Users execute a series of computational jobs, consisting of instances of the application with different inputs, and wait until results are generated to decide whether new computational tasks need to be submitted and executed. Therefore, moving HPC applications to cloud platforms requires not only a focus on resource allocation in the infrastructure in use and its optimization, but also on how users interact with this new environment. Research in the area of cloud HPC can be classified into three broad categories: (i) feasibility studies on adopting the cloud to replace or complement on-premise computing clusters to run HPC applications; (ii) performance optimization of cloud resources for running HPC applications; and (iii) services to simplify the use of cloud HPC, particularly for users who are not specialized in data and information processing and processing technologies. This research project intends to focus on study activities within the first category, in which, more specifically, there are four main aspects that should be considered: (i) metrics used to assess how feasible the use of HPC cloud is; (ii) resources used in computational experiments; (iii) computational infrastructure; and (iv) software, which includes both well-known HPC benchmarks and computational tools, algorithms, or methodologies related to specific business application cases. Currently, the company uses HPC applications running mostly on on-premise systems but faces issues related to the need for greater computational resources that can be met through flexible and scalable architectures provided by cloud technologies. The need is to build clear technology and governance references for cloud or hybrid infrastructures. The research project will therefore aim to carefully analyze the state of the art of hybrid HPC solutions, define criteria for benchmarking different solutions, develop an operational framework that includes the operational and economic management aspects of a hybrid HPC solution, and finally implement one or more industrial pilots. DEADLINE: June 24, 2022 ALL INCLUSIVE GROSS AMOUNT (for 18 months): 29050,50 euro (i.e., 19367 euro annual gross amount) NOTE: Foreign candidates are strongly encouraged to contact me by email if they need help/support in order to prepare their application: I will be glad to assist. Here you can download an unofficial English translation of the call: RIPARTI-call ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Head of HPC Lab https://hpc-lab.unisalento.it Director of Master in Applied Data Science Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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Expression of interest PhD Positions in Edge Computing
by Carlo Vallati 03 Jun '22

03 Jun '22

Dear all, we are looking for bright and highly motivated student for one PhD position at the Department of Information Engineering at the University of Pisa. The position is funded within the framework of the "Crosslab: Innovation for Industry 4.0" project. The research activities will be carried out in the "Cloud Computing, Big Data & Cybersecurity" laboratory ( https://crosslab.dii.unipi.it/cloud-computing-big-data-cybersecurity-lab). A short description of the research topic can be found below. Interested people are requested to send an expression of interest by submitting a curriculum vitae, a one-page research statement showing motivation and understanding of the topic of the position, and the official Transcript of Record. The expression of interest must be sent by email to Carlo Vallati at carlo.vallati(a)unipi.it with the reference [PhD expression of interest] in the subject of the email. Applications will be reviewed continuously until 5th July 2022. The starting date of the PhD position is Fall 2022. The duration of the PhD is three years. The compensation is a standard Italian Ph.D. student fare, about 1150 Euro/month net. ================================================ Edge Computing 2.0: Efficient Deep Learning at the Edge ================================================ Abstract: Deep neural networks (DNNs) have achieved unprecedented success in the field of artificial intelligence (AI), including computer vision, natural language processing, and speech recognition. However, their superior performance comes at the considerable cost of computational complexity, which greatly hinders their applications in many resource-constrained devices, such as Edge computing nodes and Internet of Things (IoT) devices. Therefore, methods and techniques that can lift the efficiency bottleneck while preserving the high accuracy of DNNs are in great demand to enable numerous edge AI applications. The proposed research plan involves the analysis and identification of the challenges related to DNNs for time series prediction both at training time, on the GPU-enabled resource-constrained devices, and at inference time, on microcontrollers, leveraging available open-source software such as Tensorflow and Pytorch. The final goal of the research activity will be the definition, design, implementation, and testing of novel algorithms to improve the efficiency of DNNs on the edge and on IoT devices, on real-case scenarios. Reference contact: Carlo Vallati, email: carlo.vallati(a)unipi.it -- -- ------------------------------ ------- Carlo Vallati, PhD Associate Professor Computer Networking Group Department of Information Engineering University of Pisa Via Diotisalvi 2, 56122 Pisa - Italy Ph. : (+39) 050-2217.572 (direct) .599 (switch) Fax : (+39) 050-2217.600 Skype: warner83 E-mail: carlo.vallati@iet.unipi.ithttp://www.iet.unipi.it/c.vallati/ -----------------------------------------------

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) at Hong Kong Baptist University
by COMP HKBU 31 May '22

31 May '22

The Department of Computer Science at Hong Kong Baptist University offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) (PR0395/21-22)* The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) security and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, Art technologies and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiries, please contact Professor Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk). More information about the Department can be found at https://www.comp.hkbu.edu.hk. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with *PR *number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. *Closing date: Shortlisting will start immediately until the position is filled.* *URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=743

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Ph.D. position: Deep learning for estimating the impact of drones on a mobile network
by Tayeb Lemlouma 19 May '22

19 May '22

>> Apologies for cross-posting << *Ph.D. positions at Orange and IRISA Labs (Lannion, France):* *Deep learning for estimating the impact of drones on a mobile network* *Summary* The objective of the thesis is to model and evaluate the impact of connected drone trajectories on a radio access network. This should consider road axes and cellular coverage of operators. The purpose of the model should consider planned drone routes to (1) minimize the impact in terms of traffic on RANs (radio access network), (2) avoid interference between drones and sensitive areas, and (3) maintain good QoE for the user equipments (UEs). *Required competencies:* knowledge of mobile networks, Deep Learning (ideally PyTorch or Tensorflow), Graph theory, Python, shell, Matlab, good communication in English, team work curiosity & open-mindedness. *How to apply?* https://orange.jobs/jobs/offer.do?joid=112419&lang=EN <https://orange.jobs/jobs/offer.do?joid=112419&lang=EN> *More details:* In English: details <https://orange.jobs/jobs/offer.do?joid=112419&lang=EN> In French: details <https://orange.jobs/jobs/offer.do?joid=112418&lang=FR> Please forward to anyone who may be interested. Thanks. >> Apologies for cross-posting <<

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[PSD 2022, MAY 22, Hard Deadline] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Paris, France, Sept. 2022
by Joaquin Garcia-Alfaro 19 May '22

19 May '22

** Apologies for Cross-postings -- please share ** PRIVACY IN STATISTICAL DATABASES 2022 (PSD 2022) ============================================ Paris, France, September 21-23, 2022 https://crises-deim.urv.cat/psd2022/ Submission deadline: *MAY 22, 2022* (Hard deadline. It has already been extended one week). Submission link: https://easychair.org/conferences/?conf=psd2022 Follow our twitter account to receive the latest news: @PSD_Conference 1. AIMS AND GOAL ----------------- Privacy in statistical databases is about finding tradeoffs to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprise which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: data collectors cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed. Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay private). "Privacy in Statistical Databases 2022" (PSD 2022) is a conference with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2022 is to attract world-wide, high-level research in statistical database privacy. PSD 2022 is a successor to PSD 2020 (online, Sep. 23-25, 2020, https://unescoprivacychair.urv.cat/psd2020/), PSD 2018 (Valencia, Sep. 26-28, 2018, https://unescoprivacychair.urv.cat/psd2018/), PSD 2016 (Dubrovnik, Sep. 14-16, 2016, https://unescoprivacychair.urv.cat/psd2016/), PSD 2014 (Eivissa, Sep. 17-19, 2014, http://unescoprivacychair.urv.cat/psd2014/), PSD 2012 (Palermo, Sep. 26-28, 2012, http://unescoprivacychair.urv.cat/psd2012), PSD 2010 (Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010), PSD 2008 (Istanbul, Sep. 24-26, 2008, http://unescoprivacychair.urv.cat/psd2008), PSD 2006 (Rome, Dec. 13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004 (Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004), all with proceedings published by Springer in LNCS 12276, LNCS 11126, LNCS 9867, LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those ten PSD conferences follow a tradition of high-quality technical conferences on SDC which started with "Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with proceedings published by OPOCE, and continued with the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published in Springer LNCS 2316. Like the aforementioned preceding conferences, PSD 2022 originates in Europe, but wishes to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees from overseas are welcome. 2. ORGANIZATION --------------- PROGRAM COMMITTEE - Jane Bambauer (University of Arizona, USA) - Bettina Berendt (Technical University of Berlin, Germany) - Aleksandra Bujnowska (EUROSTAT, European Union) - Jordi Castro (Polytechnical University of Catalonia) - Anne-Sophie Charest (Universite Laval, Quebec, Canada) - Peter Christen (Australian National University, Australia) - Christopher Clifton (Purdue University, USA) - Graham Cormode (University of Warwick, UK) - Roberto DiPietro (Hamad Bin Khalifa University, Qatar) - Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia) - Joerg Drechsler (IAB, Germany) - Khaled El Emam (University of Ottawa, Canada) - Mark Elliot (Manchester University, UK) - Sebastien Gambs (Universite du Quebec a Montreal) - Sarah Giessing (Destatis, Germany) - Marc Juarez (University of Southern California, USC) - Hiroaki Kikuchi (Meiji University, Japan) - Maryline Laurent (Telecom SudParis-Institut Polytechnique de Paris, France) - Bradley Malin (Vanderbilt University, USA) - Anna Monreale (Universita di Pisa, Italy) - Krish Muralidhar (The University of Oklahoma, USA) - David Naccache (Ecole Normale Superieure, France) - Benjamin Nguyen (INSA Centre Val de Loire, France) - Anna Oganyan (National Center for Health Statistics, USA) - Melek Onen (Eurecom, France) - Constantinos Patsakis (University of Piraeus, Greece) - Jerry Reiter (Duke University, USA) - Yosef Rinott (Hebrew University, Israel) - Salvatore Ruggieri (Universita di Pisa, Italy) - Steven Ruggles (University of Minnesota, USA) - Nicolas Ruiz (OECD) - Pierangela Samarati (University of Milan, Italy) - David Sanchez (Universitat Rovira i Virgili, Catalonia) - Monica Scannapieco (ISTAT, Italy) - Eric Schulte Nordholt (Statistics Netherlands) - Natalie Shlomo (University of Manchester, UK) - Aleksandra Slavkovic (Penn State University, USA) - Jordi Soria-Comas (Catalan Data Protection Authority, Catalonia) - Tamir Tassa (The Open University, Israel) - Vicenc Torra (Umea University, Sweden) - Rolando Trujillo-Rasua (Deakin University, Australia) - Lars Vilhuber (Cornell University, USA) - Peter-Paul de Wolf (Statistics Netherlands) PROGRAM CHAIR - Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia) GENERAL CHAIR - Maryline Laurent (Telecom SudParis-Institut Polytechnique de Paris, France) ORGANIZATION COMMITTEE - Samia Bouzefrane (CNAM, France) - Joaquin Garcia-Alfaro (Telecom SudParis-Institut Polytechnique de Paris, France) - Miriam Guillem (Universitat Rovira i Virgili, Catalonia) - Jesus Manjon (Universitat Rovira i Virgili, Catalonia) 3. TOPICS OF INTEREST --------------------- Topics of interest include but are not limited to: - New anonymization methods for tabular data - New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.) - Best anonymization practices for tabular data - Best anonymization practices for microdata - Co-utility for privacy preservation - Big data anonymization - Streaming data anonymization - Decentralized anonymization - Balancing data quality and data confidentiality in SDC - Differential privacy and other privacy models - SDC transparency issues - Onsite access centers - Remote access facilities - SDC software - Estimating disclosure risk in SDC - Record linkage methods - Real-life disclosure scenarios in EU-member states and abroad - Privacy preserving data mining (both cryptographic and non-cryptographic) - Private information retrieval - Privacy in web-based e-commerce - Privacy in healthcare - Privacy in official and corporate statistics - Other data anonymization issues 4. SUBMISSIONS -------------- Full papers containing either original technical contributions or high-quality surveys on the above topics or on related topics are sought. Camera-ready versions of accepted papers should be prepared using the LaTeX2estyle or the Word template of Springer Verlag Lecture Notes in Computer Science. For LaTeX2e, a macro package llncs.zip and an example file typeinst.zip can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…. For Microsoft Word, a template word.zip can be downloaded from the same page above. We encourage authors to use the above formats already for their submissions. LENGTH OF SUBMISSIONS. Using the above format with 11 point font, the paper should be at most 12 pages excluding bibliography and appendices, and at most 16 pages total. Committee members are not required to read appendices; the paper should be intelligible without them. Submissions not meeting these guidelines risk rejection without consideration of their merits. 5. PROCEEDINGS -------------- Among PSD 2022 accepted papers, a selection will be made based on quality and coverage and the selected papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. This follows the tradition of the previous PSD conferences. The remaining accepted papers will be published in a USB with an ISBN. It is possible to submit a paper directly for the USB, which benefits from a later submission deadline and no copyright transfer (see USB-only dates below). The form of publication of an accepted paper will be clearly specified in the acceptance message. Both the LNCS volume and the USB will be *available at the conference*. 6. IMPORTANT DATES ------------------ Submission deadline: *May 22, 2022** (Hard deadline. It has already been extended one week) Acceptance notification: June 17, 2022 Proceedings version due: June 26, 2022 USB-only submission deadline: June 26, 2022 USB-only acceptance notification: July 6, 2022 USB-only proceedings version due: July 13, 2022 Conference: Sep. 21-23, 2022 7. VENUE AND TRAVEL ------------------- The conference will take place at the headquarters of the Conservatoire National des Arts et Metiers (CNAM) in central Paris. Further venue, travel and accomodation information will be posted no later than June 2022 at https://crises-deim.urv.cat/psd2022 8. REGISTRATION --------------- Registration information will be posted no later than June 2022 at http://crises-deim.urv.cat/psd2022

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[NEW DEADLINE] ESR 3 years research grant - Marie Skłodowska-Curie Action - InnoCyPES European project
by Massimo Cafaro 18 May '22

18 May '22

A three years research grant is available within the InnocyPES European project. The position is related to ESR4, for research on Large Scale Data Management and Integration DEADLINE: June 2, 2022 Ukranian Researchers are strongly encouraged to apply! Downloadable application forms etc are available: official Italian documents: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 unofficial English translation: http://sara.unisalento.it/~cafaro/page-3/ InnoCyPES announcement: https://innocypes.eu/index.php/2022/03/29/esr-4-large-scale-data-management… Foreign candidates are strongly encouraged to contact Prof. Cafaro by email (massimo.cafaro(a)unisalento.it) if they need help/support in order to prepare their application. A public selection procedure is called for a research grant for collaboration in research activities (hereinafter referred to as research grant), at the Department of Innovation Engineering of the University of Salento. The location, the duration, the amount, the scientific disciplinary sector, the scientific referent, the structure available to the winner and the program of the research grant are specified below: STRUCTURE Department of Engineering for Innovation, University of Salento, Lecce, Italy DURATION 3 years REMUNERATION The research grant will last 3 (three) years. The annual remuneration, gross of charges to be borne by the beneficiary and inclusive of contributions and social security charges to be borne by the University of Salento, consists of the following items: 1. Living allowance: Euro 40,966.56 (forty thousand nine hundred and sixty-six/56); 2. Mobility allowance: Euro 7.200,00 (seven thousand two hundred/00); 3. Family allowance: 3.1.Euro 0 (zero) per researcher without family obligations; 3.2.Euro 6,000.00 (six thousand/00) for researchers with family obligations (married or with a relationship recognised by Italian law or that of the country of origin or with dependent children). SCIENTIFIC SUPERVISOR Prof. Massimo Cafaro RESEARCH TITLE LARGE SCALE DATA MANAGEMENT AND INTEGRATION DESCRIPTION This is a three year “Marie Curie ETN Early Stage Researcher position” on the following topic. The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. For admission to the selection is required the possession of all the requirements provided by law for access to public employment, the eligibility requirements provided by the Marie Sklodowska- Curie Action (https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main…) and the following requirements: a) Master of Science degree in Computer Science or Computer Engineering or equivalent qualification that formally allows access to a PhD program in Italy; b) an excellent academic career; c) must not have carried out more than 4 years of research activity after obtaining the degree mentioned in the previous point within the expected starting date of the contract (indicatively fixed at 01.03.2022); d) have a background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of C/C++ programming languages and time series archiving/analysis is a plus; e) must not have a Ph.D. as of the contract start date; f) must not have resided or carried out the main activity of study/work in Italy for more than 12 months during the 3 years preceding the date of the beginning of the contract; g) have an excellent knowledge of the English language, in any case sufficient to ensure the performance of the activity envisaged by the contract and daily interaction in the working environment; h) must not have criminal convictions or have pending criminal proceedings of particular gravity. Lack of even one of the above requirements will result in exclusion from the selection process at any time. Qualifications obtained abroad must normally be previously recognized in Italy in accordance with current legislation. The equivalence of qualifications obtained abroad that have not already been recognized in Italy will be evaluated by the Selection Committee solely for the purpose of admitting the candidate to this call for selection. The qualifications must be possessed on the date of expiry of the deadline established for the presentation of applications for admission to this selection. The University of Salento guarantees equality and equal opportunities between men and women for the allocation of the grants in question and the protection of confidentiality in the processing of personal data, according to the provisions in force. The position is officially advertised at the University of Unisalento: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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[DEADLINE EXTENDED] 3 Years Marie Skłodowska-Curie ESR research grant - InnocyPES European project.
by Massimo Cafaro 26 Apr '22

26 Apr '22

A three years research grant is available within the InnocyPES European project. The position is related to ESR4, for research on Large Scale Data Management and Integration DEADLINE: extended to May 5, 2022 Ukranian Researchers are strongly encouraged to apply! Downloadable application forms etc are available: official Italian documents: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 unofficial English translation: http://sara.unisalento.it/~cafaro/page-3/ InnoCyPES announcement: https://innocypes.eu/index.php/2022/03/29/esr-4-large-scale-data-management… Foreign candidates are strongly encouraged to contact Prof. Cafaro by email (massimo.cafaro(a)unisalento.it) if they need help/support in order to prepare their application. A public selection procedure is called for a research grant for collaboration in research activities (hereinafter referred to as research grant), at the Department of Innovation Engineering of the University of Salento. The location, the duration, the amount, the scientific disciplinary sector, the scientific referent, the structure available to the winner and the program of the research grant are specified below: STRUCTURE Department of Engineering for Innovation, University of Salento, Lecce, Italy DURATION 3 years REMUNERATION The research grant will last 3 (three) years. The annual remuneration, gross of charges to be borne by the beneficiary and inclusive of contributions and social security charges to be borne by the University of Salento, consists of the following items: 1. Living allowance: Euro 40,966.56 (forty thousand nine hundred and sixty-six/56); 2. Mobility allowance: Euro 7.200,00 (seven thousand two hundred/00); 3. Family allowance: 3.1.Euro 0 (zero) per researcher without family obligations; 3.2.Euro 6,000.00 (six thousand/00) for researchers with family obligations (married or with a relationship recognised by Italian law or that of the country of origin or with dependent children). SCIENTIFIC SUPERVISOR Prof. Massimo Cafaro RESEARCH TITLE LARGE SCALE DATA MANAGEMENT AND INTEGRATION DESCRIPTION This is a three year “Marie Curie ETN Early Stage Researcher position” on the following topic. The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. For admission to the selection is required the possession of all the requirements provided by law for access to public employment, the eligibility requirements provided by the Marie Sklodowska- Curie Action (https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main…) and the following requirements: a) Master of Science degree in Computer Science or Computer Engineering or equivalent qualification that formally allows access to a PhD program in Italy; b) an excellent academic career; c) must not have carried out more than 4 years of research activity after obtaining the degree mentioned in the previous point within the expected starting date of the contract (indicatively fixed at 01.03.2022); d) have a background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of C/C++ programming languages and time series archiving/analysis is a plus; e) must not have a Ph.D. as of the contract start date; f) must not have resided or carried out the main activity of study/work in Italy for more than 12 months during the 3 years preceding the date of the beginning of the contract; g) have an excellent knowledge of the English language, in any case sufficient to ensure the performance of the activity envisaged by the contract and daily interaction in the working environment; h) must not have criminal convictions or have pending criminal proceedings of particular gravity. Lack of even one of the above requirements will result in exclusion from the selection process at any time. Qualifications obtained abroad must normally be previously recognized in Italy in accordance with current legislation. The equivalence of qualifications obtained abroad that have not already been recognized in Italy will be evaluated by the Selection Committee solely for the purpose of admitting the candidate to this call for selection. The qualifications must be possessed on the date of expiry of the deadline established for the presentation of applications for admission to this selection. The University of Salento guarantees equality and equal opportunities between men and women for the allocation of the grants in question and the protection of confidentiality in the processing of personal data, according to the provisions in force. The position is officially advertised at the University of Unisalento: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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CfP: 29th IEEE International Conference on High Performance Computing, Data & Analytics (HiPC 2022)
by Anand Panangadan 17 Apr '22

17 Apr '22

HiPC 2022 29th IEEE International Conference on High Performance Computing, Data & Analytics Dec. 18-21, 2022 Bengaluru, India Website: http://www.hipc.org CALL FOR PAPERS HiPC 2022 will be the 29th edition of the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics. Each submission should be submitted to one of the six tracks listed under the two broad themes of High Performance Computing and Data Science. Up to two best paper awards will be given for outstanding contributed papers. Depending on how the COVID-19 pandemic situation evolves, the presentation may be in person or in a virtual format. Authors of selected high-quality papers in HiPC 2022 will be invited to submit extended versions of their papers for possible publication in a special issue of the Journal of Parallel and Distributed Computing (JPDC). HIGH PERFORMANCE COMPUTING Topics for papers include, but are not limited to the topics given under the categories below. Algorithms: This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): - New parallel and distributed algorithms and design techniques; - Advances in enhancing algorithmic properties or providing guarantees (e.g., concurrency, data locality, communication-avoiding, asynchronous, hybrid CPU-GPU algorithms, fault tolerance, resilience,); - Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); - Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); - Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models). Architecture: This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): - High performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); - Networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); - Memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); - Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); - Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to): - Shared and distributed memory parallel applications (e.g., scientific computing, simulation and visualization applications, graph and irregular applications, data-intensive applications, science/engineering/industry applications, emerging applications in IoT and life sciences, etc.); - Methods, algorithms, and optimizations for scaling applications on peta- and exa-scale platforms (e.g., co-design of hardware and software, heterogeneous and hybrid programming); - Hardware acceleration of parallel applications (e.g., GPUs, FPGA, vector processors, manycore); - Application benchmarks and workloads for parallel and distributed platforms. Systems Software: This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): - Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services); - Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); - Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); - Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; - Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); - Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). SCALABLE DATA SCIENCE Scalable Algorithms and Analytics: This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): - New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, data (pre-)processing and pattern discovery); - Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); - Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); - Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture, health sciences); - Scalable algorithms that ensure the transparency and fairness of the analysis; - Case studies, experimental studies, and benchmarks for scalable algorithms and analytics; - Scaling and accelerating machine learning, deep learning, natural language processing and computer vision applications. Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale and related advances. Examples of topics of interest include (but not limited to): - New parallel and distributed algorithms and design techniques; - Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications); - Scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs); - Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); - Systems software for distributed data frameworks (e.g., distributed file system, data deduplication, virtualization, cloud services, resource optimization, scheduling); - Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). Important dates - Submission site open: June 15, 2022 - Abstract submissions: July 4, 2022 AOE - Full Paper submissions: July 8, 2022 AOE - First-round Author notifications: September 12, 2022 - Submission of revised papers along with response to reviews: October 10, 2022 - Author notification for revised papers: November 1, 2022 - Camera-ready version: November 15, 2022 - Conference dates: December 18-21, 2022 General Co-chairs: - Chiranjib Sur, Shell, India - Neelima Bayyapu, Consultant, India Vice General Co-chairs: - Sanmukh Rao Kuppannagari, University of Southern California, USA - Vivek Yadav, IIIT-Bangalore, India- - Program Co–chairs: - High performance computing: Sathish Vadhiyar, Indian Institute of Science, India - Data science: Jun Wang, University of Central Florida, USA Steering committee chair: - Viktor K. Prasanna, University of Southern California, USA Program Vice-Chairs HPC TRACKS - Algorithms: Thomas Herault, University of Tennessee, USA - Applications: Yogish Sabharwal, IBM IRL, India - Architecture: Diana Goehringer, TU Dresden, Germany - System Software: Jyothi Vedurada, IIT, Hyderabad DATA SCIENCE TRACKS - Scalable Algorithms and Analytics: Zhishan Guo, University of Central Florida, USA - Scalable Systems and Software: Dan Huang, Sun Yat-Sen University, PRC

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Virtualization in High-Performance Cloud Computing (VHPC 2022) - Submission deadline extended
by Tommaso Cucinotta 14 Apr '22

14 Apr '22

[apologies for cross-postings] *The paper submission deadline for VHPC 2022 has been extended to April 26th (AoE). Please, register your abstract by April 19th.* The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) <vhpc.org/> is an international forum bringing together researchers and industrial practitioners facing the challenges posed by virtualization in HPC/Cloud scenarios, in order to foster discussion, collaboration, mutual exchange of knowledge and experience, enabling research to ultimately provide novel solutions for virtualized computing systems of tomorrow. The 17th edition of VHPC will be held on June 2nd, jointly with the ISC High-Performance 2022 <https://www.isc-hpc.com/> conference and exhibition in Hamburg (Germany), and will feature two excellent *industrial **_/keynote speakers/_* * “rtla: finding the sources of OS noise on Linux”, Daniel Bristot De Oliveira, Senior Principal Software Engineer in the real-time kernel team at Red Hat * “DynamoDB: NoSQL database services for predictable HPC workloads”, Akshat Vig, Principal Software Engineer at Amazon Web Services (AWS) In addition to the general research topics mentioned below, VHPC'22 encourages particularly contributions on the following _/focus topics/_: * Container Platforms (Kubernetes, Docker, Singularity, Shifter, rkt, …) for Scientific Workflows * Composable Lightweight Applications and Unikernel Frameworks * Latency Control and Data/Container Placement in Heterogeneous HPC Virtualized Environments * Energy-efficiency and Service Orchestration in Virtualized Cloud & HPC Infrastructures *Workshop Overview* Containers and virtualization technologies constitute key enabling factors for flexible resource management in modern data centers, and particularly in cloud environments. Cloud providers need to manage complex and heterogeneous infrastructures in a seamless fashion to support the highly dynamic and diverse workloads and applications customers deploy. Similarly, HPC environments have been increasingly adopting techniques that enable flexible management of vast computing and networking resources, close to marginal provisioning cost, which is unprecedented in the history of scientific and commercial computing. More recently, Function as a Service (Faas) and Serverless computing, leveraging on lightweight virtualizaton and containerization solutions, widens the spectrum of applications that can be deployed in a cloud environment, especially in an HPC context. Here, HPC-provided services can become accessible to distributed workloads outside of large cluster environments. Various virtualization-containerization technologies contribute to the overall picture in different ways: machine virtualization, with its capability to enable consolidation of multiple underutilized servers with heterogeneous software and operating systems (OSes), and its capability to live-migrate a fully operating virtual machine (VM) with a very short downtime, enables novel and dynamic ways to manage physical servers; OS-level virtualization (i.e., containerization), with its capability to isolate multiple user-space environments and to allow for their coexistence within the same OS kernel, promises to provide many of the advantages of machine virtualization with bare-metal responsiveness and performance; lastly, unikernels provide for many virtualization benefits with a minimized OS/library surface. I/O Virtualization in turn allows physical network interfaces to take traffic from multiple VMs or containers; network virtualization, with its capability to create logical network overlays that are independent of the underlying physical topology is furthermore enabling virtualization of HPC infrastructures. *Topics of Interest* The VHPC program committee solicits original, high-quality submissions related to virtualization across the entire software stack with a special focus on the intersection of HPC, containers-virtualization and cloud computing. Each topic encompasses aspects related to design/architecture, management, performance management, modeling and configuration/tooling: Design / Architecture: * Containers and OS-level virtualization (LXC, Docker, rkt, Singularity, Shifter) * Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) * Hypervisor extensions to mitigate side-channel attacks ([micro-]architectural timing attacks, privilege escalation) * VM & Container trust and security models * Multi-environment coupling, system software supporting in-situ analysis with HPC simulation * Cloud reliability, fault-tolerance and high-availability * Energy-efficient and power-aware virtualization * Containers inside VMs with hypervisor isolation * Virtualization support for emerging memory technologies * Lightweight/specialized operating systems in conjunction with virtual machines * Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) * Novel unikernels and use cases for virtualized HPC environments * ARM-based hypervisors, ARM virtualization extensions Management: * Container, VM and data management for HPC and cloud environments * HPC services integration, services to support HPC * Service and on-demand scheduling & resource management * Dedicated workload management with VMs or containers * Workflow coupling with VMs and containers * Unikernels and lightweight VM application management * Environments and tools for operating containerized environments (batch, orchestration) * Novel models for non-HPC workload provisioning on HPC resources Performance Measurements and Modeling: * Performance improvements for or driven by unikernels * Optimizations of virtual machine monitor platforms and hypervisors * Scalability analysis of VMs and/or containers at large scale * Performance measurement, modeling and monitoring of virtualized/cloud workloads * Virtualization in supercomputing environments, HPC clusters, HPC in the cloud * Energy-efficient deployment of high-performance, ultra-low latency and real-time workloads in cloud infrastructures * Modeling, control and isolation of end-to-end performance for parallel & distributed cloud/HPC applications Configuration / Tooling: * Tool support for unikernels: configuration/build environments, debuggers, profilers * Job scheduling/control/policy and container placement in virtualized environments * Measuring and controlling “OS/Virtualization noise” * Operating MPI in containers/VMs and Unikernels * GPU virtualization operationalization The workshop will be one day in length, composed of 20 min paper presentations, each followed by 10 min discussion sections, plus lightning talks that are limited to 5 minutes. Presentations may be accompanied by interactive demonstrations. For more information and detailed paper submission instructions, refer to the VHPC'22 webpage <https://vhpc.org/>: https://vhpc.org/ *Important Dates* * *Apr 19th, 2022 (extended)*: Abstract submission (opens /Feb 14th, 2022/) * *Apr 26th, 2022 (extended)*: Paper submission deadline (Springer LNCS) * *May 6th, 2022*: Acceptance notification * *Jun 2nd, 2022*: Workshop Day * *Jul 10th, 2022*: Camera-ready version due (post-workshop) *General Chairs* * Michael Alexander, BOKU Vienna, Austria * Anastassios Nanos, Nubificus Ltd., UK * Tommaso Cucinotta, Scuola Superiore Sant’Anna, Ital -- Tommaso Cucinotta, Associate Professor of Computer Engineering, PhD Head of the Real-Time Systems Laboratory (ReTiS) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/~tommaso/eng/research.html

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[DEADLINE APPROACHING] InnoCyPES European Project - ESR4 position available
by Massimo Cafaro 10 Apr '22

10 Apr '22

A three years research grant is available within the InnocyPES European project. The position is related to ESR4, for research on Large Scale Data Management and Integration DEADLINE: April 19, 2022 Ukranian Researchers are strongly encouraged to apply! Downloadable application forms etc are available: official Italian documents: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 unofficial English translation: http://sara.unisalento.it/~cafaro/page-3/ InnoCyPES announcement: https://innocypes.eu/index.php/2022/03/29/esr-4-large-scale-data-management… Foreign candidates are strongly encouraged to contact Prof. Cafaro by email (massimo.cafaro(a)unisalento.it) if they need help/support in order to prepare their application. A public selection procedure is called for a research grant for collaboration in research activities (hereinafter referred to as research grant), at the Department of Innovation Engineering of the University of Salento. The location, the duration, the amount, the scientific disciplinary sector, the scientific referent, the structure available to the winner and the program of the research grant are specified below: STRUCTURE Department of Engineering for Innovation, University of Salento, Lecce, Italy DURATION 3 years REMUNERATION The research grant will last 3 (three) years. The annual remuneration, gross of charges to be borne by the beneficiary and inclusive of contributions and social security charges to be borne by the University of Salento, consists of the following items: 1. Living allowance: Euro 40,966.56 (forty thousand nine hundred and sixty-six/56); 2. Mobility allowance: Euro 7.200,00 (seven thousand two hundred/00); 3. Family allowance: 3.1.Euro 0 (zero) per researcher without family obligations; 3.2.Euro 6,000.00 (six thousand/00) for researchers with family obligations (married or with a relationship recognised by Italian law or that of the country of origin or with dependent children). SCIENTIFIC SUPERVISOR Prof. Massimo Cafaro RESEARCH TITLE LARGE SCALE DATA MANAGEMENT AND INTEGRATION DESCRIPTION This is a three year “Marie Curie ETN Early Stage Researcher position” on the following topic. The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. For admission to the selection is required the possession of all the requirements provided by law for access to public employment, the eligibility requirements provided by the Marie Sklodowska- Curie Action (https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main…) and the following requirements: a) Master of Science degree in Computer Science or Computer Engineering or equivalent qualification that formally allows access to a PhD program in Italy; b) an excellent academic career; c) must not have carried out more than 4 years of research activity after obtaining the degree mentioned in the previous point within the expected starting date of the contract (indicatively fixed at 01.03.2022); d) have a background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of C/C++ programming languages and time series archiving/analysis is a plus; e) must not have a Ph.D. as of the contract start date; f) must not have resided or carried out the main activity of study/work in Italy for more than 12 months during the 3 years preceding the date of the beginning of the contract; g) have an excellent knowledge of the English language, in any case sufficient to ensure the performance of the activity envisaged by the contract and daily interaction in the working environment; h) must not have criminal convictions or have pending criminal proceedings of particular gravity. Lack of even one of the above requirements will result in exclusion from the selection process at any time. Qualifications obtained abroad must normally be previously recognized in Italy in accordance with current legislation. The equivalence of qualifications obtained abroad that have not already been recognized in Italy will be evaluated by the Selection Committee solely for the purpose of admitting the candidate to this call for selection. The qualifications must be possessed on the date of expiry of the deadline established for the presentation of applications for admission to this selection. The University of Salento guarantees equality and equal opportunities between men and women for the allocation of the grants in question and the protection of confidentiality in the processing of personal data, according to the provisions in force. The position is officially advertised at the University of Unisalento: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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