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CFP: The 2nd Int. Conference on Deep Learning, Big Data and Blockchain
by Deep-BDB 06 Dec '19

06 Dec '19

------------------------ Call for Papers ----------------------------- The 2nd International Conference on Deep Learning, Big Data and Blockchain (DEEP-BDB 2020) 24-26 August 2020, Rome, Italy http://www.ficloud.org/deep-bdb/ ----------------------------------------------------------------------- Deep and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. All such fields produce and consume massive amount of big data, which include, for example, online commerce data (marketing data, customer reviews, customer relationship), transportation data (road sensors, cameras, GPS), and data about healthcare, social media, and various other applications. Deep learning techniques and big data techniques yield useful outputs in predicting, discovering and acquiring insights and deeper knowledge about events for better and efficient decision making. The groundbreaking technology of blockchain technology also enable decentralization, immutability, and transparency of data and applications. It has been exploited in modern research and industrial domains in order to achieve high level of trust, security and reliable execution of applications and data which are shared across a network of computers. The International Conference on Deep Learning, Big Data and Blockcain (DEEP-BDB) aims to enable synergy between these areas and to provide a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Topics of interest include (but not limited to): - Deep/Machine learning based models - Statistical models and learning - Data analysis, insights and hidden pattern - Data analysis and decision making - Data wrangling, munching and cleaning - Data integration and fusion - Data visualization - Data and information quality - Security threat detection - Visualizing security threats - Enhancing privacy and trust - Data mining; Information extraction; - Sentiment analysis - Data classification and clustering - Knowledge acquisition and learning - Clustering, classification and regression - Supervised and unsupervised learning - Blockain security and trust - Blockchain data management - Data & application reliability - Blockchain and data distribution - Blockain and finacial transactions - Blockchain and Bitcoin applications - Blockain and NoSQL databases - Protocols for blockchain - Cryptography, Cryptocurrency - Fraud detection and prevention - Blockchain and Internet of Things - Scalability of blockchains Application areas: - Finance, business and retail - Intelligent transportation - Healthcare and clinical decision support - Bioinformatics and biomedical informatics - Computer vision - Human activity recognition - Cybersecurity - Natural language processing - Recommender systems - Social media and networks Important Dates: Submission Deadline: 12 March 2020 Authors Notification: 20 May 2020 Final Manuscript Due: 15 June 2020 Paper Submission: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 4-6 pages. Papers should be prepared using IEEE two-column template. Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference with proceedings. All papers accepted for this conference are peer-reviewed and are to be published in the conference proceedings by Conference Publishing Service (CPS). Submition of papers are done through the EasyChair submission system. See conference website for further details.

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CFP: The 8th Int. Conf. on Future Internet of Things and Cloud (FiCloud 2020)
by FiCloud Conference 06 Dec '19

06 Dec '19

----------------------Call for Papers ------------------------------------------------ The 8th International Conference on Future Internet of Things and Cloud (FiCloud 2020) 24-26 August 2020, Rome, Itlay http://www.ficloud.org/2020/ Technical co-sponsorship: IEEE-CS TCI --------------------------------------------------------------------------------------- Cloud is a modern computing platform for delivering on-demand computing services to service consumers over the Internet. Computing services include, for example, storage, memory, compute power, databases, and networking among others. Cloud services are generally provided using SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Unlike conventional distributed computing, cloud offers flexibility, scalability, efficiency and elasticity in service provisioning. The Internet of Things (IoT) provides a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: 1. Cloud Services Models 2. Security, Privacy and Trust 3. Software Systems, Models and Architectures 4. Blockchain in Cloud and IoT 5. Data and Knowledge Management 6. Context-aware Systems 7. Software-defined Networking 8. Performance Evaluation and Modelling 9. Networking and Communication Protocols 10. IoT Services and Applications 11. Smart Environment 12. Machine learning in Cloud and IoT 13. Energy Efficiency 14. Federation and Virtualization 15. Fog and Edge Computing 16. Industry Track 17. General Track – Future IoT and Cloud Computing Important Dates: Submission Deadline: 12 March 2020 Authors Notification: 20 May 2020 Final Manuscript Due: 15 June 2020 Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2020/) All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website).

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Open positions (PostDoc and MSc/PhD) on Multi-Agent Systems and Semantic Web in France
by Ciortea, Andrei 05 Dec '19

05 Dec '19

Dear all, We have two open positions on Multi-agent Systems, Semantic Web, and Linked Data: Post-Doctoral researcher on architectural styles and ontologies for Hypermedia Multi-agent Systems: https://jobs.inria.fr/public/classic/en/offres/2019-02101 Internship proposal for master students at École des Mines de Saint-Étienne (can be converted in a Doctoral Position): https://ci.mines-stetienne.fr/jobs/M2_HyperAgents_2020.html Kind regards, Andrei Ciortea

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CVML live Web lecture series: Web lecture 'Fast Convolution Algorithms for deep learning and computer vision', 14th December 2019, 11:00 EET
by ioannakoroni＠csd.auth.gr 03 Dec '19

03 Dec '19

Dear Computer vision/machine learning, students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, AUTH is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Top scientists internationally will deliver these lectures, aiming at providing in-depth knowledge on various CVML topics. The 1-hour lectures will take place on Saturdays, to avoid conflicts with other intended registrant schedules/duties: a) Saturdays 11:00 EET (17:00 Beijing time) and b) Saturdays 20:00 EET (13:00 EST, 10:00 PST for NY/LA, respectively) for audience in the Americas. Each lecture will be announced at least 1 week in advance in various relevant email lists and in the www page: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. The first web lecture on 'Fast Convolution Algorithms for deep learning and computer vision' by Professor Ioannis Pitas (see attached abstract and CV), will take place on 14th December 2019, 13:00 EET only. Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Fast convolution algorithms for computer vision and machine learning 2D convolutions play an extremely important role in machine learning, as they form the first layers of Convolutional Neural Networks (CNNs). They are also very important for computer vision (template matching through correlation, correlation trackers) and in image processing (image filtering/denoising/restoration). 3D convolutions are very important for machine learning (video analysis through CNNs) and for video filtering/denoising/restoration. 1D convolutions are extensively used in digital signal processing (filtering/denoising) and analysis (also through CNNs) Therefore, 1D/2D/3D convolution algorithms are very important both for machine learning and for signal/image/video processing and analysis. As their computational complexity is of the order O(N^2), O(N^4) and O(N^6) respectively their fast execution is a must. This lecture will overview linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(Nlog2N), O(N^2log2N) for 1D and 2D convolutions respectively. Finally, optimal Winograd 1D and 2D convolution algorithms will be presented having theoretically minimal number of computations. Emphasis will be on 1D convolution algorithms, as there will be another lecture on 2D convolution algorithms soon. Prof. I. Pitas was lucky to have done his PhD degree on fast convolution algorithms more than 30 years ago. Now this topic re-emerged as key technology for deep learning and computer vision, primarily to address fast CNN training and inference, thanks to advances primarily in GPU programming, but also in multicore CPU programming. Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas leads the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el AIIA Lab www.aiia.csd.auth.gr <http://www.aiia.csd.auth.gr>

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[Extended Deadline] Call for Papers Special issue on Granular Computing [Algorithms, MDPI]
by Alessio Martino 03 Dec '19

03 Dec '19

Dearest Colleagues, I am contacting you in my capacity as Guest Editor for a Special Issue titled: "Granular Computing: From Foundations to Applications" to appear in “Algorithms” MDPI journal: https://www.mdpi.com/journal/algorithms/special_issues/Granular_Computing <https://www.mdpi.com/journal/algorithms/special_issues/Granular_Computing> 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 has been extended: 31 March 2020. 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 of computer science, theory, methods and interdisciplinary applications, data and information systems, software engineering, artificial intelligence, automation and control systems, and is published online monthly by MDPI. Best Regards --- <https://htmlsig.com/t/000001C17PBN> Alessio Martino / PhD Research Fellow alessio.martino(a)uniroma1.it <mailto:alessio.martino@uniroma1.it> Department of Information Engineering, Electronics and Telecommunications (DIET) - University of Rome "La Sapienza" Via Eudossiana 18 00184 Rome, Italy https://web.uniroma1.it/dip_diet/en <https://web.uniroma1.it/dip_diet/en> <https://htmlsig.com/t/000001C4HZQK> <https://htmlsig.com/t/000001C6NBHT> This email and its attachments may be confidential and are intended solely for the use of the intended recipient. If you are not the intended recipient of this email and its attachments, you must take no action based upon them, nor must you copy or show them to anyone. Please contact the sender if you believe you have received this email in error. Any views or opinions expressed are solely those of the author and do not necessarily represent those of the University. -- ________________________________________________________ Le informazioni contenute in questo messaggio di posta elettronica sono strettamente riservate e indirizzate esclusivamente al destinatario. Si prega di non leggere, fare copia, inoltrare a terzi o conservare tale messaggio se non si è il legittimo destinatario dello stesso. Qualora tale messaggio sia stato ricevuto per errore, si prega di restituirlo al mittente e di cancellarlo permanentemente dal proprio computer. The information contained in this e mail message is strictly confidential and intended for the use of the addressee only. If you are not the intended recipient, please do not read, copy, forward or store it on your computer. If you have received the message in error, please forward it back to the sender and delete it permanently from your computer system.

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Call for Workshop Proposals: IEEE SMARTCOMP 2020, Bologna, Italy, 2020
by Shameek Bhattacharjee 02 Dec '19

02 Dec '19

[Apologies for multiple copies] --- IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2020) Bologna, Italy 22-25 June 2020 http://www.smart-comp.org Call for workshop proposals ------------------------------- Continuing the well-established tradition of this series of symposia, SMARTCOMP 2020 will provide an international technical forum for experts from industry and academia to exchange ideas and present results of on-going research in most state-of-the-art areas of computers and communications. This year, special focus will be on the challenging issues related to all the opportunities of computing, sensing and communication in the era of the integration of Internet of Things, Cloud Computing, and Big Data. The Workshops Committee of SMARTCOMP 2020 invites proposals for half or full day workshops affiliated with the conference, on topics of interest to SMARTCOMP 2020 attendees. The purpose of these workshops is to create new opportunities for presenting novel ideas in a less formal and possibly more sharply focused way than at the conference itself. Topics of interest include, but are not limited to, Internet of Things, Software-Defined Networking, Big Data, Cloud Computing, M2M communications and Smart Grid. Papers presented in the SMARTCOMP 2020 workshops will be included in the conference proceedings and submitted for publication in IEEE Xplore®. Submission Guidelines ------------------------------- Each workshop proposal must include the following: * the name of the workshop; * the names, addresses, and short bios of the organizers; * a brief description (up to one page long) of the technical issues that the workshop’s focus will be on, and the reasons why the workshop is of interest at this time; * the names of potential Program Committee members; * the planned format of the workshop, including a strategy to facilitate lively discussions and involvement of the attendees; * if a keynote speech is included in the planned format of the workshop, the name(s) of the potential keynote speaker(s); * if applicable, a description of past versions of the workshop, including dates, organizers, number of submitted and accepted papers, and number of attendees; * if the workshop is going to be organized for the first time, an estimate of the expected number of submissions and attendees; * a tentative Call for Papers (as complete as possible); * a description of the plans for publicity and Workshop Web site. Submission Method ------------------------------- Workshop proposals should be submitted, no later than 23 November 2019, in PDF format by email with the subject line "SMARTCOMP 2020 Workshop Proposal" to the Workshop Chairs: Dario Bruneo (dbruneo(a)unime.it) Eirini Eleni Tsiropoulou (eirini(a)unm.edu) Important Dates ------------------------------- Proposal for workshop submission deadline: 8 December 2019 Notification of workshop acceptance: 20 December 2020 Paper submission deadline: 6 April 2020 Notification of paper acceptance: 30 April 2020 Submission of camera-ready deadline: 15 May 2020 SMARTCOMP 2020 Workshop Chair Dario Bruneo, University of Messina, Italy Eirini Eleni Tsiropoulou, University of New Mexico, USA Regards, Shameek Bhattacharjee, Ph.D., Assistant Professor, Dept. of Computer Science, Western Michigan University, Kalamazoo, MI Room B-241, Ph: 269-276-3156.

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Call for five assistans professors in mathematics for AI
by Natalie Pintar 02 Dec '19

02 Dec '19

Hello, We would like to give a tip about the following call for five assistant professors in mathematics for AI, tenure track: https://wasp-sweden.org/positions/assistant-professors-in-mathematics-for-a… Med vänlig hälsning Natalie Pintar Kommunikatör [Linköpings universitet] Universitetsförvaltningen 581 83 Linköping Telefon: 013-28 24 81 Mobil: 0700-89 64 97 Besöksadress: VALLA, Key, Ingång Key, Rum 3225 Besök oss gärna på: www.liu.se<http://www.liu.se>

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CFP: The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020)
by Bahman Javadi 01 Dec '19

01 Dec '19

===================================================================== The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020) May 11-14, 2020, Melbourne, Australia Website: http://cloudbus.org/ccgrid2020/ ===================================================================== Call for Papers Tremendous advances in processing, communication and systems/middle-ware technologies are leading to new paradigms and platforms for computing, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. CCGrid is a series of very successful conferences, sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) and ACM (Association for Computing Machinery), with the overarching goal of bringing together international researchers, developers, and users and to provide an international forum to present leading research activities and results on a broad range of topics related to these platforms and paradigms and their applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2020 conference. In 2020, CCGrid will return to Melbourne, Australia, to celebrate its 20th anniversary. CCGrid 2020 will have a special focus on three important issues that are significantly influencing all aspects of Cluster, Cloud, and Internet computing: Adaptive Elastic Computing, Green Computing, and Cyber-Physical Computing. Topics of interest include, but are not limited to: Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, etc. More decentralized approaches to cloud computing. Edge/fog/mist computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs. Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. 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 Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. Cyber-Security and Privacy: Cloud security and trust. Access control. Data privacy and integrity. Regulation. Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Applications: Data Science, Artificial Intelligence, Cyber-Physical Systems, etc. Applications to real and complex problems in science, engineering, business and society. User studies. Experiences with large-scale deployments systems and data science applications. Distributed AI/Machine Learning on the cloud. Data streaming analytics for intelligent transportation systems. ------------------------------------------------------------------- Chairs and Committees ------------------------------------------------------------------- General Chair: Rajkumar Buyya, University of Melbourne, Australia. General Vice Chairs: Dhabaleswar Panda, Ohio State University, USA Jin Hai, Huazhong University of Science and Technology, China Massimo Villari, The University of Messina, Italy Program Committee Co-Chairs: Carlos A Varela, RPI, USA Laurent Lefevre, INRIA, France Workshops Co-Chairs: George Pallis, The University of Cyprus, Cyprus Borja Sotomayor, The University of Chicago, USA Doctoral Symposium Chairs : Anne-Cecile Orgerie, Inria, France Ivan Rodero, The State University of New Jersey, USA Posters Co-Chairs : Hari Subramoni, Ohio State University, USA Joanna Kolodziej, National Research Institute (NASK), Poland Student Travel Awards Chair: Lena Mashayekhy, University of Delaware, USA SCALE Challenge Chair : Yogesh Simmhan, Indian Institute of Science, India Research/Product Demonstrations Chairs : Rodrigo Calheiros, Western Sydney University, Australia Proceedings Co-Chair : Omer Rana, Cardiff University, UK Adel N. Toosi, Monash University, Australia Publicity Co-Chairs: Jithin Jose, Microsoft, USA Stefan Schulte, Vienna University of Technology, Austria Bahman Javadi, Western Sydney University, Australia Mohsen Amini, The University of Louisiana at Lafayette, USA Ching-Hsien Hsu, National Chung Cheng University, Taiwan Carlos Westphall, Federal University of Santa Catarina, Brazil Cyber Chair : Mohammad Goudarzi, The University of Melbourne, Australia Important Dates Paper Due: 10 December 2019 Acceptance Notification: 30 January 2020 Camera Ready Papers Due: 25 February 2020 =====================================================================

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CfP Special Session on Computational Intelligence for Bioinformatics and Computational Biology [IEEE WCCI 2020]
by Alessio Martino 29 Nov '19

29 Nov '19

Fellow Colleagues, following the experience of the previous edition, we propose our Special Session on Computational Intelligence for Bioinformatics and Computational Biology also at IEEE WCCI 2020 (Glasgow, UK). Bioinformatics and Computational Biology deal with a wide range of problems and applications which, in recent years, have been successfully solved by means of Computational Intelligence and Machine Learning techniques. Moreover, due to technological progress, huge amounts of data concerning biological organisms are gathered and collected (e.g. genes transcript, protein structures and the like), thereby demanding the use of parallel and distributed computing for facing Big Datasets and/or high-throughput application requirements. Further, in such fields, data usually encodes complex information, which is natively represented by structured records, such as sequences, graphs and images, most of which lie in so-called “non-metric spaces”, i.e. input spaces for which a meaningful (dis)similarity measure might not be metric, making the problem more challenging since ad-hoc (dis)similarity measures or embedding functions need to be defined. This Special Session aims at collecting the latest research in Computational Intelligence applications for Bioinformatics and Computational Biology, with emphasis on parallel/distributed computing and non-metric spaces analysis, by means of different (or hybridization of) Computational Intelligence techniques, from evolutionary meta-heuristics to neural computation, from pattern recognition to fuzzy systems. Topics of interest include (but are not limited to): • Network and Systems Biology • Gene expression, gene regulatory networks • Sequence analysis, alignment and comparison • Biological complex systems modelling • Predictive medicine and medical image analysis • Network medicine • Large-scale data mining and pattern recognition • Distributed and parallel computing systems for machine learning and data mining • Network generative models • Graph kernels and string kernels in biology • Exact/inexact motifs and pattern matching • Granular computing approaches for non-metric space analysis • Protein folding/function prediction • Analysis of metabolic pathways • RNA/protein structure prediction More info here: https://sites.google.com/a/uniroma1.it/wcci2020-ci4bcb/home <https://sites.google.com/a/uniroma1.it/wcci2020-ci4bcb/home> Needless to say, you are all invited to join. King regards --- <https://htmlsig.com/t/000001C17PBN> Alessio Martino / PhD Research Fellow alessio.martino(a)uniroma1.it <mailto:alessio.martino@uniroma1.it> Department of Information Engineering, Electronics and Telecommunications (DIET) - University of Rome "La Sapienza" Via Eudossiana 18 00184 Rome, Italy https://web.uniroma1.it/dip_diet/en <https://web.uniroma1.it/dip_diet/en> <https://htmlsig.com/t/000001C4HZQK> <https://htmlsig.com/t/000001C6NBHT> This email and its attachments may be confidential and are intended solely for the use of the intended recipient. If you are not the intended recipient of this email and its attachments, you must take no action based upon them, nor must you copy or show them to anyone. Please contact the sender if you believe you have received this email in error. Any views or opinions expressed are solely those of the author and do not necessarily represent those of the University. -- ________________________________________________________ Le informazioni contenute in questo messaggio di posta elettronica sono strettamente riservate e indirizzate esclusivamente al destinatario. Si prega di non leggere, fare copia, inoltrare a terzi o conservare tale messaggio se non si è il legittimo destinatario dello stesso. Qualora tale messaggio sia stato ricevuto per errore, si prega di restituirlo al mittente e di cancellarlo permanentemente dal proprio computer. The information contained in this e mail message is strictly confidential and intended for the use of the addressee only. If you are not the intended recipient, please do not read, copy, forward or store it on your computer. If you have received the message in error, please forward it back to the sender and delete it permanently from your computer system.

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CFP - The 10th Workshop on Big Data and Cloud Performance (DCPerf'20) at IEEE Infocom'20
by Peter Mueller 28 Nov '19

28 Nov '19

Call for Papers ----------------------------------------------------------------- The 10th International Workshop on Big Data and Cloud Performance (DCPerf’20) ----------------------------------------------------------------- in conjunction with IEEE INFOCOM 2020 April 27, 2020, Beijing, China https://infocom2020.ieee-infocom.org/workshop-big-data-and-cloud-performance The 10th Workshop on Big Data and Cloud Performance (DCPerf'20) will be held in conjunction with the IEEE INFOCOM'20 in Beijing, China on April 27, 2020. The goal of DCPerf is to promote a community-wide discussion to identify suitable strategies to enable effective and scalable performance optimizations. Submissions on any topics of datacenter, cloud and bigdata performance are welcome. Submission site will remain open until Jan. 8th, 2020. Cloud data centers are the backbone infrastructure for tomorrow's information technology. Their advantages are efficient resource provisioning and low operational costs for supporting a wide range of computing needs, be it in business, scientific or mobile/pervasive environments. Because of the rapid growth in user-defined and user-generated applications and content, the range of services provided at data centers will expand tremendously and unpredictably. Particularly, big data applications and services, e.g., social and environmental sensing, and IoT monitoring, present a unique class of challenges in the Cloud. In addition, the high volume of mixed workloads and the diversity of services offered render the performance optimization of data centers even more challenging. Moreover, important optimization criteria, such as scalability, reliability, manageability, power efficiency, area density, and operating costs, are often conflicting. The increasing mobility of users across geographically distributed areas adds another dimension to optimizing big data and cloud applications. The goal of this workshop is to promote a community-wide discussion to identify suitable strategies to enable effective and scalable performance optimizations. We are looking for papers that present new techniques, introduce new methodologies, propose new research directions, or discuss strategies for resolving open performance problems for hosting big data analytics in the cloud. Topics of interest include (but are not limited to): - Big data applications and services - Emerging IoT applications - Data flow management - Processing platforms - Empirical studies - Cloud systems - Novel architectures - Resource allocation - Content distribution - Evaluation/modeling methodology - Big data and cloud performance - Cost/pricing design - Power/energy management - Reliability/dependability - Performance evaluation/modeling - Big data in the cloud - Intra/Inter communication - Network protocols - Security - Real-time analytics Important Dates: Paper Registration and Abstract Submission: Jan. 8th, 2020 Full Paper Submission: Jan. 15th, 2020 Notification of Acceptance: Feb. 15th, 2020 Final Manuscript Due: March 6, 2020 Submission Guideline: Manuscripts must be limited to 6 pages in IEEE 8.5x11-inch format. Accepted papers will be published in the combined INFOCOM 2020 Workshop proceedings and will be submitted to IEEE Xplore. Submitted papers may not have been previously published in or be under consideration for publication in another journal or conference. The reviews will be single blinded. Manuscripts should be submitted as PDF files via EDAS link: https://edas.info/newPaper.php?c=26866&track=99584 Committee: General Chair Wanyang Dai, Department of Mathematics, Nanjing University, China TPC co-Chairs Peter Mueller, IBM Research Zurich Lab, Switzerland Rui Han, School of Computer Science&Technology, Beijing Insititute of Technology Steering Committee Jiannong Cao (Hong Kong Polytechnic University, Hong Kong) Alok Choudhary (Northwerstern University, USA) Lydia Y. Chen, Distributed System Department, Delft University of Technology, The Netherlands Martin Schmatz (IBM Research Zurich Lab, Switzerland) Anand Sivasubramaniam (Penn State University, USA) Larry Xue (Arizona State University, USA) Contact: Peter Mueller - pmu(a)zurich.ibm.com

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