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1st International Workshop on Advances in High-Performance Algorithms Middleware and Applications
by Massimo Cafaro 15 Jan '18

15 Jan '18

My apologies for multiple copies. 1st International Workshop on Advances in High-Performance Algorithms Middleware and Applications http://sara.unisalento.it/~cafaro/AHPAMA2018/ Held in conjunction with the the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2018), Washington, DC, USA May 1-4 2018 The Workshop on Advances in High-Performance Algorithms Middleware and Applications is an international forum which brings together researchers and practitioners working on different high-performance aspects of algorithms, middleware and technologies enabling novel applications. Middleware technologies include tools to assemble together different resources such as parallel supercomputers, data archives, high-speed storage systems, advanced visualization devices and scientific instruments using high speed networks connecting geographically distributed devices and organizations. Many recent international efforts are actively fostering the development of such applications and technologies. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of algorithms and applications. Creating breakthrough parallel algorithms for high-performance applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance algorithms middleware and applications, and related topics. For example, the following topics are relevant to the workshop: - Scalable message-passing parallel algorithms using MPI - Scalable shared-memory parallel algorithms using OpenMP - GPGPU parallel algorithms using OpenCL or CUDA - Green High-Performance Computing - Exploiting modern parallel architectures including FPGA, many-cores and multi-cores for parallel applications - Middleware for high-performance computing - Benchmarking and performance studies of high-performance applications - Novel programming paradigms to support high-performance computing - Performance models for high-performance applications and middleware - Efficient job scheduling for high-performance applications - Performance-aware resource reservation - Security-related performance issues - Programming models, tools, and environments for high-performance computing - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing - Peer-to-peer systems for high-performance grid and cloud environments - Optimization techniques for mobile grids Submission Guidelines The results presented in the paper must be unpublished and not submitted for publication elsewhere, including the proceedings of other conferences or workshops. Papers will be peer-reviewed by at least three reviewers. Papers are evaluated with respect to originality, significance, clarity, and technical soundness. One author of each accepted paper will be expected to present the paper at the workshop. Authors are invited to submit papers electronically in PDF format. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter-size (8.5 x 11) pages including all figures, tables and references using the IEEE format for conference proceedings. Papers need to be submitted through Easy Chair following this link: https://easychair.org/conferences/?conf=ahpama1 Important Dates Paper submission: February 23, 2018 Author notification: March 7, 2018 Camera ready: March 15, 2018 Workshop: May 1-4, 2018 Workshop Organizers Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it Program Committee To be defined... - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. 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 E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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The Second International Workshop on Parallel and Distributed Data Mining (WPDM 2018)
by Massimo Cafaro 15 Jan '18

15 Jan '18

The Second International Workshop on Parallel and Distributed Data Mining (WPDM 2018) http://sara.unisalento.it/~cafaro/WPDM2018/ CALL FOR PAPERS As part of The 18th International Conference on Computational Science and Its Applications (ICCSA 2018), http://www.iccsa.org July 2 - 5 2018, Melbourne, Australia Submission Deadline: January 28, 2018 SPECIAL ISSUE Selected extended versions of workshop papers will be invited to a Special Issue to appear in the Algorithms journal (see http://www.mdpi.com/journal/algorithms/special_issues/Parallel_Distributed_…) SCOPE AND OBJECTIVES The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics. The WPDM Workshop topics include (but are not limited to) the following: - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… To submit a paper, please connect to the Submission site from the link available at the ICCSA 2018 web site: http://ess.iccsa.org. Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form. CONFERENCE POLICY By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. If you have any questions about paper submission or the workshop, please contact the workshop organisers. IMPORTANT DATES January 28, 2018: Deadline for paper submission April 8, 2018: Notification of Acceptance. May 6, 2018: Early-bird Registration ends. May 6, 2018: Submission deadline for the final version of the Papers July 2-5, 2018: ICCSA 2018 Conference WORKSHOP ORGANIZERS Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it International Program Committee: All submitted papers will be reviewed by the workshop technical program committee members. Program Committee formation is pending and will be finalised shortly. Current TPC members: Gianfranco Bilardi, University of Padova, Italy Matteo Ceccarello, University of Padova, Italy Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Giuseppe Di Fatta, University of Reading, UK Ann Gordon-Ross, University of Florida, USA Giuliano Laccetti, University of Naples, Italy Pablo Moscato, University of Newcastle, Australia Mitsunori Ogihara, University of Miami, USA Domenico Talia, University of Calabria, Italy Paolo Trunfio, University of Calabria, Italy Jeffrey D. Ullman, Stanford University, USA - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. 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 E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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YEF-ECE 2018 - 2nd Young Engineers Forum on Electrical and Computer Engineering
by Luis M. Camarinha-Matos 14 Jan '18

14 Jan '18

Dear young Engineers / graduating MSc Students, Following the success of the 2017 edition we are proud to announce the organization of the 2nd International Young Engineers Forum on Electrical and Computer Engineering - *YEF-ECE 2018*. 2017 International Young Engineers Forum (YEF-ECE) papers are available on the IEEE Xplore digital library, and indexed in the WEB OF SCIENCE. You are all kindly invited to submit a paper to the 2nd International Young Engineers Forum (*YEF-ECE 2018*), which will be held on May 4, 2018 in Lisbon, Portugal. *Scope and Motivation:* Young engineers / graduating MSc students are encouraged to submit manuscripts with their latest innovative developments in Electrical and Computer Engineering, based on their MSc theses or early career projects. Each submitted paper shall be jointly co-authored by a young engineer and his/her supervisor or mentor. The YEF-ECE Program Committee will review all submitted full papers and will select the best for presentation based on their innovative and original contribution to engineering solutions. All details are available on the official website: http://sites.uninova.pt/yef-ece Important Dates: Submission of Abstract: Now Full paper submission: February 10, 2018 Paper acceptance notification: March 13, 2018 Final paper submission: March 25, 2018 YEF-ECE 2018 will be co-located with the doctoral conference DoCEIS 2018 (http://sites.uninova.pt/doceis), giving participants the opportunity to attend both events on the same day. We are looking forward to meet you at YEF-ECE 2018 conference in Lisbon, Portugal. Sincerely, YEF-ECE 2018 Committee -- _________________________________________________ Prof. Dr. Luis M. Camarinha-Matos NOVA University of Lisbon + Uninova Campus de Caparica 2829-516 Monte Caparica Portugal Tel. +351-212948517 Fax +351-212941253 or 212957786 URL: https://sites.google.com/a/uninova.pt/cam/ URL: http://docentes.fct.unl.pt/lcm e-mail: cam(a)uninova.pt or lcm(a)fct.unl.pt _________________________________________________

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CFP: The 4th Int. Conf. on Big Data Innovations and Applications (Innovate-Data 2018)
by M. Younas 14 Jan '18

14 Jan '18

------------------------ Call for Papers ----------------------------------- The 4th International Conference on Big Data Innovations and Applications (Innovate-Data 2018) (IEEE CS-TCI) 06-08 August 2018, Barcelona, Spain http://www.ficloud.org/innovate-data-2018/ ----------------------------------------------------------------------------- Big data has become a key asset in modern societies, economies, and governmental organizations. Big data encompasses various kinds of complex and large scale information that are beyond the processing capabilities of conventional software and databases. The increasing volume and velocity of the data, captured by business organizations, web repositories, social media, data centres, cloud and IoT, have resulted in the exponential growth of big data. Big data provides a key basis for innovations in various domains and applications. It can benefit data managers, developers, companies and various kinds of organizations to carry out useful analysis of data pattern and trends, make intelligent decisions, and solve complex problems that can help societies and economies and speed up innovations. The aim of the Innovate-Data conference is to promote the state of the art in scientific and practical research of big data and to bring together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas. CONFERENCE TRACKS: Big Data Storage, Representation and Processing Data storage; Data representation and structures; Data management; Data processing; Data engineering and design; Storages and network requirements Big Data Security, Privacy and Trust Data Security; Data Privacy; Data Trust; Data protection and integrity; Legal and ethical issues; Identity theft; Data loss and leakage Big Data Models, Infrastructure and Platforms Data models; NoSQL databases; Data consistency and availability; Fault tolerance and reliability; Network models and protocols; Performance evaluation; Resource management; Transaction management; RDBMS and big data; Memcached systems and techniques Visualisation of Big Data Data visualisation, Visual representation; Usability and user interaction; Graphs models and techniques for big data; Data acquisition and cleaning Big Data Analytics and Metrics Analytics models; Tools and technologies; Data patterns; Business intelligence and decision making; Optimization of resources and cost; Customer relations and satisfaction; Data economics; Metrics for big data; Analysis of online reviews Big Data Science Big data science models; Data searching and mining; Methodologies and use cases; Machine learning and deep learning; Algorithms and formal models; Mathematical and Statistical models for big data; Interdisciplinary approaches and methods Big Data Applications and Innovations Business applications; Social media and networks; Healthcare applications; Government and public sector systems; Multimedia and data streaming; Personal data logging and quantified-self; Context-aware data; Big data in cloud and IoT; Personalisation of data; Open and linked data PUBLICATION: All papers accepted for this conference are to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS) (approval pending). 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 an extended version of their papers for a special issues in international journals (see Journal Special Issues section). Important Dates: Submission Deadline: 05 March 2018 Authors Notification: 16 May 2018 Final Manuscript Due: 12 June 2018 Organising Committee General Chair Massimo Mecella, SAPIENZA Università di Roma, Italy Program Co-Chairs Indrakshi Ray, Colorado State University, USA Irfan Awan, University of Bradford, UK Local Organising Chair Marisa Catalán Cid, i2Cat Foundation, Spain Publication Chair Muhammad Younas, Oxford Brookes University, UK Workshop Coordinator Mourad Ouziri, Universite Paris Descartes, France Publicity Chair Georgia M. Kapitsaki University of Cyprus Cyprus Journal Special Issues Coordinator Farookh Hussain, University of Technology Sydney, Australia Track Chairs Pino Caballero-Gil, University of La Laguna, Spain Yohei Saika, National Institute of Technology, Japan Ahmet Soylu, Norwegian University of Science and Technology, Norway Rachid belhamari, Lakehead University, Canada Sherif Sakr, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia Giuseppe Di Modica, University of Catania, Italy

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 13 Jan '18

13 Jan '18

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier Submission deadline: February 1st, 2018 The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: February 1st, 2018 First round notification: May 1st, 2018 Revised version due: July 1st, 2018 Final notification: August 1st, 2018 Camera-ready due: September 15th, 2018 Publication tentative date: December 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. 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 E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Workshop on Recent Advances in Machine Learning, Big Data Analytics, and Internet of Things - IoTforeHealth 2018 (due on Jan 17, 2018)
by Chang V.I. 12 Jan '18

12 Jan '18

Dear colleagues, We have 1 workshop due on Jan 17, 2018, as an extended deadline due on Jan 17. Workshop on Recent Advances in Machine Learning, Big Data Analytics, and Internet of Things - IoTforeHealth 2018. See http://www.iotbd.org/IoTforeHealth.aspx for detail and you can submit there. There are opportunities to submit to high quality journals later. Thanks. Thanks an regards, Victor http://www.iotbd.org/IoTforeHealth.aspx Chairs Farshad Firouzi, Katholieke Univ. Leuven and MSG Systems AG Germany Bahar Farahani, Pirouzan Group, Iran Victor Chang, Xi'an Jiaotong-Liverpool University, China SCOPE In recent years, the Internet of Things (IoT), Machine Learning, and Big Data have grown at an exponential pace solving complex problems in different disciplinary fields such as healthcare, finance, business, transportation, etc. However, these innovations are not without their drawbacks. Many challenges related to computing, network, consistency, safety, reliability, etc. remain. In order to succeed in this technology, multidisciplinary research is needed, in addition to collaboration between academia and industry. This workshop will bring researchers and industrial partners together to examine and report state-of-the-art research on recent advances toward Big Data analytics, Machine Learning, and the Internet of Things. Topics of Interest Operating System, Applications and Protocols Design, and Validation Techniques for Internet of Things Enabling Technologies for Social Internet of Things Information and Resource Management Systems for Internet of Things Fusion for different services and its impacts in the IoT era Intelligent Algorithms and Standards for Interoperability in Internet of Things Communications, collaborations, and services in networks of embedded devices High-Performance Services Computing and Internet Technologies Emerging Services Science for Cloud Computing Autonomous Cloud Relational and Non-relational big data stores Artificial Intelligence and Machine Learning for Internet of Things Cyber Security and Biometrics in the IoT Era Security and Privacy in Cyber-Physical Systems Intelligent Security and Optimization in Edge/Fog Computing Innovative Network for Data Intensive Science Cognitive Internet of Things Assisted by Cloud Computing and Big Data Intelligent Sensing and Applications for Cyber-Physical Systems Smart Data in Future Internet Technologies and Cloud Computing Affective Computing in Ambient Intelligence Systems Technological innovations in Digital transformation Edge of the Cloud Novel edge computing-inspired approaches and paradigms for mobile IoT applications High-Performance Services Computing and Internet Technologies Blockchain and Decentralization for Internet of Things Accountability and Privacy Issues in Blockchain and Cryptocurrency Cloud and Fog Computing for Smart Cities Data Analytics and Visualization Landscapes of the Data Stream Processing in the era of Fog Computing Big Data for Context-Aware Applications and Intelligent Environment Computation Intelligence for Energy Internet Fog and Cloud Computing for Cooperative Information System management Benchmarking IoT and Big Data Systems Internet of Things and Machine Learning for Smart Healthcare Case studies of successful IoT systems (eHealth, Smart City, etc.) IMPORTANT DATES Paper Submission: January 17, 2018 (extended) Authors Notification: January 25, 2018 Camera Ready and Registration: February 2, 2018

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Call For Paper: IEEE COMPSAC 2018: Deadline Extended - January 25, 2018
by Hossain Shahriar 12 Jan '18

12 Jan '18

Apologies if you receive multiple copies of this CFP Due to many requests, we are extending the deadline for abstracts and papers to January 25, 2018 ------------------------------------------------------------------------------------------------- COMPSAC 2018: THE 42nd IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTERS, SOFTWARE & APPLICATIONS <http://www.compsac.org/> https://www.computer.org/web/compsac2018 TOKYO, JAPAN JULY 23-27, 2018 CALL FOR PAPERS COMPSAC is the IEEE Computer Society Signature Conference on Computers, Software and Applications. It is a major international forum for academia, industry, and government to discuss research results and advancements, emerging challenges, and future trends in computer and software technologies and applications. The theme of COMPSAC 2018 is Staying Smarter in a Smartening World. Computer technologies are producing profound changes in society. Emerging developments in areas such as Deep Learning, supported by increasingly powerful and increasingly miniaturized hardware, are beginning to be deployed in architectures, systems, and applications that are redefining the relationships between humans and technology. As this happens, humans are relinquishing their roles as masters of technology to partnerships wherein autonomous, computer-driven devices become our assistants. What are the technologies enabling these changes? How far can these partnerships go? What will be our future as we deploy more and more “‘things” on the Internet of Things – to create smart cities, smart vehicles, smart hospitals, smart homes, smart clothes, etc.? Will humans simply become IoT devices in these scenarios and if so, what will be the social, cultural, and economic challenges arising from these developments? What are the technical challenges to making this all happen – for example, in terms of technologies such as Big Data, Cloud, Fog, Edge Computing, mobile computing, and pervasive computing in general? What will be the role of the ‘user’ as the 21st Century moves along? COMPSAC 2018 is organized as a tightly integrated union of symposia, each of which will focus on technical aspects related to the ”smart” theme of the conference. The technical program will include keynote addresses, research papers, industrial case studies, fast abstracts, a doctoral symposium, poster sessions, and workshops and tutorials on emerging and important topics related to the conference theme. A highlight of the conference will be plenary and specialized panels that will address the technical challenges facing technologists who are developing and deploying these smart systems and applications. Panels will also address cultural and societal challenges for a society whose members must continue to learn to live, work, and play in the environments the technologies produce. Authors are invited to submit original, unpublished research work, as well as industrial practice reports. Simultaneous submission to other publication venues is not permitted except as highlighted at the COMPSAC Journal Publishing Opportunities webpage. All submissions must adhere to IEEE Publishing Policies, and all will be verified through the IEEE CrossCheck Portal. KEY ORGANIZERS *Standing Committee Chair: Sorel Reisman, California State University, USA *Steering Committee Chair: Sheikh Iqbal Ahamed, Marquette University, USA *General Chairs: Shinichi Honiden (NII, Japan) Roger U. Fujii, Fujii Systems, 2016 IEEE Computer Society President *Program Chairs in Chief: Jiannong Cao (Hong Kong Polytechnic University, Hong Kong) Stelvio Cimato (University of Milan, Italy) Yasuo Okabe (Kyoto University, Japan) Sahra Sedighsarvestani (Missouri University of Science & Technology, USA) *Workshop Chairs: Kenichi Yoshida (University of Tskuba, Japan) Ji-Jiang Yang (Tsinghua University, China) Hong Va Leong (Hong Kong Polytechnic University, Hong Kong) Chung Horng Lung (Carleton University, Canada) Local Chair: Hironori Washizak (Waseda University, Japan) *IMPORTANT DATES Main Conference papers Due date: 25 January 2018 Notification: 31 March 2018 Workshop papers Due date: 10 April 2018 Notification: 1 May 2018 Camera Ready and Registration Due date: May 15, 2018

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IEEE Cyber Security 2018 Glasgow - Deadline 26th of January
by Dr Xavier Bellekens 12 Jan '18

12 Jan '18

Call For Papers Cyber Security 2018 <https://easychair.org/conferences/?conf=cybersa2018> https://www.c-mric.org/conferences <https://www.c-mric.org/conferences> IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018) (Glasgow 2018) The aim of the Cyber Security 2018 is to encourage participation and promotion of collaborative scientific, industrial and academic inter-workings among individual researchers, practitioners, members of existing associations, academia, standardisation bodies, and including government departments and agencies. The purpose is to build bridges between academia and industry, and to encourage interplay of different cultures. Social Media 2018 invites researchers and industry practitioners to submit papers that encompass principles, analysis, design, methods and applications. All submitted papers are independently peer-reviewed. Cyber Security 2018 is part of four collocated conferences IEEE Social Media 2018, IEEE Cyber Situation Awareness 2018, and IEEE Cyber Incident 2018. Supported by: Topics: Computer Network Security Application Security Web Services Security Mobile Security Protective Security Software Security Wireless & Sensor Network Security Software Coding Security Security in Middleware Interface and Interaction Security Services in Authentication Authorisation Accountability Automation Availability Integrity and Nonrepudiation Security Management Security Operations Digital Trust and Reputation Geographical Location (IP Geolocation) Policy, Legal, Legislation & Compliance Security Standardisation Law, Legal and Ethics and Related Topics Keynote Speakers: - Prof Karen Renaud (Abertay University) - Prof Frank Wang (Kent University) - Dr Cyril Onwubiko (C-Mric) - Stu Hirst (Capital One) - Prof Jens Pedersen (Aalborg University) - Detective Inspector Eamonn Keane (Police Scotland) Important Dates: Full Paper Submission: 26th of January 2018 Short Paper Submission: 26th of January 2018 Paper Notification: 24th of March 2018 Authors of the best 20%-25% papers presented at the conference will be invited to adapt their papers for a publication in one of the special issue peer reviewed journal. Collocated Conferences: IEEE Situational Awareness 2018 http://www.c-mric.com/csa2018 <http://www.c-mric.com/csa2018> IEEE Social Media 2018 http://www.c-mric.com/sm2018 <http://www.c-mric.com/sm2018> IEEE Cyber Incident 2018 http://www.c-mric.com/ci2018 <http://www.c-mric.com/ci2018> Workshops: IEEE CIRC (International Workshop on Cyber Insurance and Risk Controls) https://www.c-mric.com/CIRC <https://www.c-mric.com/CIRC> Paper Submission link: https://easychair.org/conferences/?conf=cybersa2018 <https://easychair.org/conferences/?conf=cybersa2018> Associated Partners and Sponsors Civic Reception organised by Glasgow City Council Call for Sponsors: http://www.c-mric.com/sponsorship <http://www.c-mric.com/sponsorship> Conference venue: Dr Xavier Bellekens Conference Chair Centre for Multidisciplinary Research, Innovation and Collaboration (C-MRiC.ORG <http://c-mric.org/>) Address: 1 Meadway, Woodford Green, Essex, IG8 7RF, UK Web: http://www.c-mric.org <http://www.c-mric.org/>

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CFP: IEEE Workshop on Parallel / Distributed Computing and Optimization (PDCO 2018) in conjunction with IEEE IPDPS 2018 Vancouver Canada
by Didier Elbaz 12 Jan '18

12 Jan '18

Please, accept our apologies in case of multiple copies of this CFP. ********************************************************************** The 8th IEEE Workshop on Parallel / Distributed Computing and Optimization (PDCO 2018) https://pdco2018.sciencesconf.org/ held in conjunction with the 32nd IEEE International Parallel and Distributed Processing Symposium (IPDPS'2018) May 21-25, 2017 Vancouver, Canada http://www.ipdps.org ********************************************************************** ************************************************** New Submission Deadline: January 26, 2018 ************************************************** Scope: ====== The IEEE Workshop on Parallel / Distributed Computing and Optimization aims at providing a forum for scientific researchers and engineers on recent advances in the field of parallel or distributed computing for difficult optimization problems, ranging from theoretical to applied problems. The latter include 0-1 multidimensional knapsack problems and cutting stock problems, large scale linear programming problems, nonlinear optimization problems, global optimization and scheduling problems. Emphasis will be placed on new techniques for solving these difficult problems, like cooperative methods for integer programming problems, nature-inspired techniques and hybrid methods. Aspects related to Combinatorial Scientific Computing (CSC) will also be treated. We also solicit submissions of original manuscripts on sparse matrix computations and related topics (including graph algorithms); and related methods and tools for their efficiency on different parallel systems. The use of new approaches in parallel and distributed computing like GPU, MIC, cloud computing, volunteer computing will be considered. Applications combining traditional parallel and distributed computing and optimization techniques as well as theoretical issues (convergence, complexity, etc.) are welcome. Application domains of interest include (but are not limited to) cloud computing, planning, logistics, manufacturing, finance, telecommunications and computational biology. Topics: ======= * Integer programming, linear programming, nonlinear programming; * Scheduling; * Global optimization, polynomial optimization; * Exact methods, heuristics, metaheuristics, hybrid methods; * Cooperative methods, hybrid methods; * Parallel / distributed algorithms for combinatorial optimization; * Parallel / distributed metaheuristics; * Distributed optimization algorithms; * Nature inspired distributed computing; * Parallel sparse matrix computations, graph algorithms, load balancing; * Peer to peer computing and optimization problems; * Applications: cloud computing, planning, logistics, manufacturing, finance, telecommunications, computational biology, combinatorial algorithms in high performance computing. Steering Committee: =================== Pascal Bouvry, University of Luxembourg, Luxembourg (co-chair) Didier El Baz, team CDA, LAAS-CNRS, France (co-chair) El-Ghazali Talbi, University of Lille, INRIA, CNRS, France Albert Y. Zomaya, The University of Sydney, Australia General Chairs: =============== Grégoire Danoy, University of Luxembourg, Luxembourg Didier El Baz, team CDA, LAAS-CNRS, France Program Chairs: =============== Vincent Boyer, University of Nuevo Leon, Mexico Bernabe Dorronsoro, Universidad de Cádiz, Spain Publicity Chairs: ================= Keqin Li, State University of New York at New Paltz, USA Laurence T. Yang, St Francis Xavier University, Canada Program Committee (to be completed): ==================================== A. Bendjoudi, CERIST, Algiers, Algeria J.-N. Cao, Hong-Kong Polytechnic University, China J. J. Durillo, University of Innsbruck, Austria S. Fujita, Hiroshima University, Japan M. Halappanavar, Pacific Northwest National Laboratory, USA K. Li, State University of New York, USA N. Melab, University of Lille, France M. Menai, King Saud University, Saudi Arabia A. Nakib, University Paris 12, France S. Nesmachnow, Universidad de la República, Uruguay S. Nikoletseas, University of Patras and CTI, Greece C. Phillips, Sandia National Laboratories, USA T. Saadi, University of Picardie, France M. Seredynski, Luxembourg Institute of Science and Technology, Luxembourg G. Ch. Sirakoulis, Democritus University of Thrace, Greece G. Spezzano, University of Calabria, Italy A. Tchernykh, CICESE Research Center, Mexico B. Ucar, CNRS and ENS Lyon, France F. Xhafa, Polytechnic University of Catalonia, Spain L.T. Yang, St Francis Xavier University, Canada Submission : ============ Papers in the Proceedings of the workshops will be indexed in the IEEE Xplore Digital Library after the conference. Prospective authors should submit their papers through Workshop PDCO 2018 submission system: i.e. EasyChair: https://easychair.org/conferences/?conf=pdco2018 Abstract and paper can be uploaded until January 26, 2018. Authors should preferably follow the manuscript specifications of IEEE IPDPS, i.e. submitted manuscripts may not exceed 10 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables and references. Style templates are available at the IPDPS web site. Important Dates: ================ - New Submission Deadline: January 26, 2018 - Author notification: February 23, 2018 - Camera ready version: March 15, 2018 - Workshop: May 21, 2018 Contact: ======== For questions regarding the Workshop, please contact the conference organizers at pdco2018(a)sciencesconf.org <mailto:pdco2018@sciencesconf.org>

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CFP: IEEE Workshop on Parallel / Distributed Computing and Optimization (PDCO 2018) in conjunction with IEEE IPDPS 2018 Vancouver Canada
by Didier Elbaz 12 Jan '18

12 Jan '18

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