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CFP: The Int. Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019)
by Deep ML 25 Mar '19

25 Mar '19

----------------------- Call for Papers ----------------------------- The International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019) 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/deep-ml-2019/ ----------------------------------------------------------------------------- Deep learning 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. Google, for example, exploits the techniques of deep learning in voice and image recognition applications, while Amazon uses such techniques in helping customers in their online purchase decisions. The International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML) provides 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 comprises a set of tracks that focus on specific challenges in deep learning and machine learning and their applications in emerging areas. Topics of interest include, but are not limited to, the following: 1) Deep and Machine Learning Models and Techniques: Novel machine and deep learning Active learning; Incremental learning and online learning Agent-based learning; Manifold learning Multi-task learning Bayesian networks and applications Case-based reasoning methods Statistical models and learning Computational learning; Evolutionary algorithms and learning Evolutionary neural networks Fuzzy logic-based learning Genetic optimization Clustering, classification and regression Neural network models and learning Parallel and distributed learning Reinforcement learning Supervised, semi-supervised and unsupervised learning Tensor Learning 2) Deep and Machine Learning for Big Data Analytics: Deep/Machine learning based theoretical and computational models Novel techniques for big data storage and processing 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, efficiency and scalability Security threat detection using big data analytics Visualizing security threats Enhancing privacy and trust Data analytics in complex applications – finance, business, healthcare, engineering, medicine, law, transportation, and telecommunication 3) Deep and Machine Learning for Data Mining and Knowledge: Data mining in the web and online systems Multimedia; images and video data mining Feature extraction and classification Information retrieval and extraction Distributed and P2P data search Sentiment analysis Mining high velocity data streams Anomaly detection in streaming data Mining social media and social networks Mining sensor and computer networks data Mining spatial and temporal datasets Data classification, clustering, and association Knowledge acquisition and learning Knowledge representation and reasoning Knowledge discovery in large datasets 4) Deep and Machine Learning Application Areas: Bioinformatics and biomedical informatics Finance, business and retail Intelligent transportation Healthcare, medicine and clinical decision support Computer vision Human activity recognition Information retrieval and web search Cybersecurity Natural language processing Recommender systems Social media and networks 5) Deep and Machine Learning for Computing and Network Platforms: Network and communication systems Software defined networks Wireless and sensor networks Internet of Things (IoT) Cloud Computing Edge and Fog Computing Paper Submission: Full papers must be in English and should be between 12 to 14 pages. Short papers should be limited to 8 pages. Papers must be formatted in Springer's LNCS format. 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. ORGANISING COMMITTEE General Co-Chairs: Joao Gama, University of Porto, Portugal Edwin Lughofer, Johannes Kepler University Linz, Austria Program Co-Chairs: Irfan Awan, University of Bradford, UK Hadi Larijani, Glasgow Caledonian University, UK Local Organising Co-Chairs: Perin Ünal, Teknopar, Turkey Sezer Gören, Ugurdag Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Muhammad Younas, Oxford Brookes University, UK Journal Special Issue Coordinator: Lin Guan, Loughborough University, UK Workshop Coordinator: Filipe Portela, University of Minho, Portugal Publicity Chair: Esra N. Yolaçan, Osman Gazi University, Turkey ReplyForward

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CFP: 5th Int. Conference on Big Data Innovations and Applications 2019
by Innovate-Data 25 Mar '19

25 Mar '19

------------------------ Call for Papers------------------ The 5th International Conference on Big Data Innovations and Applications (Innovate-Data 2019) 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/innovate-data-2019/ (Springer: Communications in Computer and Information Science (CCIS)) ----------------------------------------------------------------------------- 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: Track: Big Data Storage, Representation and Processing Topics: Data storage; Data representation and structures; Data management; Data processing; Data engineering and design; Storages and network requirements Track: Big Data Security, Privacy and Trust Topics: Data Security; Data Privacy; Data Trust; Data protection and integrity; Legal and ethical issues; Identity theft; Data loss and leakage Track: Big Data Models, Infrastructure and Platforms Topics: 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 Track: Visualisation of Big Data Topics: Data visualisation, Visual representation; Usability and user interaction; Graphs models and techniques for big data; Data acquisition and cleaning Track: Big Data Analytics and Metrics Topics: 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 Track: Big Data Science Topics: 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 Track: Big Data Applications and Innovations Topics: 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 Submission Instructions: Full papers must be in English and must not exceed 12 pages. Short papers should be limited to 8 pages. Papers should be formatted in Springer's LNCS format. See submission instructions on the conference website. Publication: All accepted papers are planned to be included in the conference proceedings published by Springer in the Lecture Notes in Computer Science (LNCS) series. For each accepted paper, at least one author must register for the conference and present the paper. Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see conference website). Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc. See LNCS - Information on Abstracting and Indexing ( http://www.springer.com/computer/lncs?SGWID=0-164-6-1068921-0) 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 (Extended): 02 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 General Chair: William Knottenbelt, Imperial Colledge London, UK Program Co-Chairs: Salima Benbernou, Université Paris Descartes, France Muhammad Younas, Oxford Brookes University, UK Local Organising Co-Chairs: Perin Ünal, Teknopar, Turkey Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Irfan Awan, University of Bradford, UK Workshop Coordinator: Filipe Portela, University of Minho, Portugal Publicity Chair: Fang-Fang Chua, Multimedia University, Malaysia Journal Special Issues Coordinator: Lin Guan, Loughborough University, UK

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CFP: The 16th Int. Conference on Mobile Web and Intelligent Information Systems 2019
by MobiWIS Conference 25 Mar '19

25 Mar '19

----------------------- Call for Papers --------------------------- The 16th International Conference on Mobile Web and Intelligent Information Systems (MobiWis 2019) Springer LNCS Series. 26-28 August 2019, Istanbul, Turkey http://www.mobiwis.org/2019/ ----------------------------------------------------------------------------- The areas of the Web, mobile technologies, and information systems have been following a continuous and steady development over a number of years through the innovative research and practices of researchers, developers and practitioners from academia, industry, governmental and scientific organizations. The International Conference on Mobile Web and Intelligent Information Systems (MobiWis) aims to enable synergy between these areas and provides the premier venue to present and discuss latest research and developments related to research issues of the mobile web and the engineering of intelligent and innovative mobile systems and services. The conference comprises a set of carefully selected tracks that focus on the particular challenges regarding mobile Web and intelligent information systems in research areas such as, among others, Web Engineering, Service-Oriented Computing, Web of Things, Data and Knowledge Management, Cloud Computing, Security and Human-Computer Interaction. Conference Tracks: - Smart and Intelligent Systems - Mobile Software Systems - Adaptive Approaches for Mobile Computing - Middleware/SOA for Mobile Systems - Context- and Location-aware Services - Pervasive and Ubiquitous Applications - Data management in the Mobile Web - Mobile Cloud Services - Mobile Web of Things - Mobile Web Security, Trust and Privacy - Mobile Networks, Protocols and Applications - Mobile Commerce and Business Services - Socially Influencing Systems - HCI in Mobile Applications - Industry and Demos Important Dates: Submission Deadline (Extended): * 02 April 2019* Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 Submission Instructions: Full papers must be in English and must not exceed 12 pages. Short papers should be limited to 8 pages. Papers should be formatted in Springer's LNCS format. See submission instructions on the conference website. Publication: All accepted papers will be included in the conference proceedings published by Springer in the Lecture Notes in Computer Science (LNCS) series. For each accepted paper, at least one author must register for the conference and present the paper. Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see conference website). Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc. See LNCS - Information on Abstracting and Indexing ( http://www.springer.com/computer/lncs?SGWID=0-164-6-1068921-0) Organizing Committee: General Co-Chairs: Markus Aleksy, ABB, Germany Perin Unal, Teknopar, Turkey Program Co-Chairs: Irfan Awan, University of Bradford, UK Mohammed Ghazal, Abu Dhabi University, UAE Local Organising Co-Chairs: Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Muhammad Younas, Oxford Brookes University, UK Journal Special Issue Coordinator: George Ghina, Brunel University London, UK Workshop Coordinator: Tor-Morten Grønli, Kristiania University College, Norway Publicity Chair: Aneta Poniszewska-Maranda, Lodz University of Technology, Poland

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CFP: 7th Int. Conf. on Future Internet of Things and Cloud (FiCloud 2019)
by FiCloud Conference 25 Mar '19

25 Mar '19

----------------------Call for Papers ------------------------------------------------ The 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019), IEEE CS- TCI 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/2019/ --------------------------------------------------------------------------------------- The Internet of Things (IoT) vision is to provide 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: - Cloud Models - SaaS, IaaS, PaaS - Security, Privacy and Trust - Software Systems, Models and Architectures - Mobile Cloud Services - Data and Knowledge Management - Context-awareness and Location-awareness - Software-defined Networking - Performance Evaluation and Modelling - Networking and Communication Protocols - IoT Services and Applications - Smart Environment - Enterprise and Business Models - Energy Efficiency - Federation and Virtualization - Fog and Edge Computing - Industry Track - General Track 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/2019/) 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). Important Dates: Submission Deadline (Extended): 02 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 General Chairs: Vincenzo Piuri, University of Milan, Italy Irfan Awan, University of Bradford, UK Program Chairs: Takahiro Hara, Osaka University, Japan Muhammad Younas, Oxford Brookes University, UK Local Organising Chairs: Perin Unal, Teknopar, Turkey Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Workshop Coordinator: Filipe Portela, University of Minho, Portugal Journal Special Issues Coordinator: Lin Guan, Loughborough University, UK Publicity Chair: Joyce El Haddad, University of Paris Dauphine, France Publication Chair: Barbara Masucci, University of Salerno, Italy Track Chairs: Antonio Celesti, University of Messina, Italy Edmundo Madeira, University of Campinas, Brazil Helen Karatza, Aristotle University of Thessaloniki, Greece Joyce El Haddad, University of Paris Dauphine, France Khaled Aloufe, Taibah University, Saudi Arabia Luiz Fernando Bittencourt, University of Campinas, Brazil Madihah Mohd Saudi, Universiti Sains Islam Malaysia, Malaysia Marcin Bajer, ABB Corporate Research Kraków, Poland Marisa Catalan Cid, i2Cat Foundation, Spain Marwan Hassani, Technische Universiteit Eindhoven, The Netherlands Natalia Kryvinska, University of Vienna, Austria Patience Anitta Namanya, Nettitude Group, UK Rafael Angarita, INRIA and Isep, Paris, France Ron Austin, Birmingham City University, UK R. Venkatesha Prasad, Delft University of Technology, The Netherlands Tacha Serif, Yeditepe University, Turkey Tuna Tugcu, Bogaziçi University, Turkey Vijay S. Rao, Delft University of Technology, The Netherlands A. S. M. Kayes, La Trobe University, Australia

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IEEE Services 2019 - Call for Workshop Papers
by Paolo Ceravolo 25 Mar '19

25 Mar '19

2019 IEEE World Congress on Services CALL FOR WORKSHOP PAPERS 2019 IEEE World Congress on Services (SERVICES) will be held on July 8-13, 2019 in Milan, Italy. The Congress is solely sponsored by the IEEE Computer Society under the auspice of the Technical Committee on Services Computing (TCSVC). The scope of the Congress will cover all aspects of services computing and applications, current or emerging. It covers various systems and networking research pertaining to cloud, edge and Internet-of-Things (IoT), as well as technologies for intelligent computing, learning, big data and blockchain applications, while addressing critical issues such as high performance, security, privacy, dependability, trustworthiness, and cost-effectiveness. We have also developed seven workshops to cover emerging topics that had not been adequately covered by IEEE SERVICES in the past. Authors are hereby encouraged to submit papers to the following workshops. The First IEEE SERVICES Workshop on Network Services http://conferences.computer.org/services/2019/workshops/ns_workshop.html The First IEEE SERVICES Workshop on Edge Computing for Autonomous Things http://conferences.computer.org/services/2019/workshops/ecfat_workshop.html The First IEEE SERVICES Workshop on Big Data for Public Health Policy Making http://conferences.computer.org/services/2019/workshops/bigdata_workshop.ht… The First IEEE SERVICES Workshop on Cyber Security and Resilience in the Internet of Things http://conferences.computer.org/services/2019/workshops/cybersecurity_works… The First IEEE SERVICES Workshop on Knowledge Graph as a Service http://conferences.computer.org/services/2019/workshops/kgaas_workshop.html The First IEEE SERVICES Workshop on Opportunities and Risks for Financial Services: New Advances in FinTech http://conferences.computer.org/services/2019/workshops/fintech_workshop.ht… The First IEEE SERVICES Workshop on Serverless Computing http://conferences.computer.org/services/2019/workshops/sc_workshop.html The submission URL is: https://easychair.org/conferences/?conf=ieeeservices2019 Authors wishing to submit a paper to any of the above workshops must select the corresponding track in order to be considered. IMPORTANT DATES Workshop Paper Submission Deadline: April 2, 2019 Notification to Author: April 16, 2019 Camera-ready & Registration: 1 May 2019 Congress Date: July 8 – 13, 2019 See http://conferences.computer.org/services/2019/ for more information about the Congress. Send inquiries to: Congress Workshop Chairs Stephan Reiff-Marganiec, University of Leicester, srm13(a)leicester.ac.uk Shangguang Wang, BUPT, sgwang(a)bupt.edu.cn

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[FINAL DEADLINE: April 7, 2019] The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
by Massimo CAFARO 25 Mar '19

25 Mar '19

WPDM 2019 The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019) http://sara.unisalento.it/~cafaro/WPDM2019/ CALL FOR PAPERS The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019 Final deadline for submissions extended to: April 7, 2019 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 2019 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 April 7, 2019: Deadline for paper submission April 24, 2019: Notification of Acceptance. May 8, 2019: Early-bird Registration ends. May 8, 2019: Submission deadline for the final version of the Papers July 1-4, 2019: ICCSA 2019 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 All submitted papers will be reviewed by the workshop technical program committee members. International Program Committee: Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA Giuseppe Di Fatta, University of Reading, UK Ann Gordon-Ross, University of Florida, USA Kenli Li, Hunan University, China Donato Malerba, University of Bari, Italy Barbara Masucci, University of Salerno, Italy Mitsunori Ogihara, University of Miami, USA Takahiko Shintani, The University of Electro-Communications , Japan Domenico Talia, University of Calabria, Italy Paolo Trunfio, University of Calabria, Italy Jeffrey D. Ullman, Stanford University, USA Laurence T. Yang, St Francis Xavier University, Canada - ************************************************************************************ 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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[CFP] IEEE CSE 2019 -- The 22nd IEEE International Conference on Computational Science and Engineering
by Han Qiu 25 Mar '19

25 Mar '19

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ IEEE CSE 2019 - The 22nd IEEE International Conference on Computational Science and Engineering - August 1–3, 2019 New York, USA http://www.cloud-conf.net/CSE/2019/index.html +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ INTRODUCTION As computer systems become increasingly large and complex, data based computing technology plays a critical role at supporting next-generation science and engineering applications. Nowadays the Cloud-based complex Big Data applications in science and engineering are consist of heterogeneous software/hardware/network components of changing capacities, availability, and in varied contexts. They provide computing services to large pools of users and applications and the effective solutions require appropriate and smart computational algorithms, architectures and platforms. The CSE conference aims at bringing together researchers and practitioners in the world working on addressing these computing challenges on science and engineering, and providing a forum to present and discuss emerging ideas and trends in this highly challenging research field. The series of highly successful International Conferences on Computational Science and Engineering (CSE), include CSE-09, CSE-10, CSE-11, CSE-12, CSE-1, CSE-14, and CSE-15 were held in Vancouver, Canada, 2009, Hong Kong, China, 2010, Dalian, China, 2011, Paphos, Cyprus, 2012, Sydney, Australia, 2013, Chengdu, China, 2014, Porto, Portugal, 2015, Pairs, France, 2016, Guangzhou, China, 2017and in Bucharest, Romania, 2018. TOPIC Topics of particular interest include, but are not limited to: - Big Data Applications and Analytics - Intelligent and Bio-inspired Computing - Computational Social Systems - Scientific and Engineering Computing - Mobile Computing and Wireless Communications - Embedded and Ubiquitous Computing - Security, Privacy and Trust - Advanced Networking and Applications - Service and Internet Computing - Distributed and Parallel Computing - Dependable, Reliable and Autonomic Computing - CSE Education PAPER SUBMISSION Prospective authors are invited to submit papers via Easychair (https://easychair.org/conferences/?conf=ieeecse2019) The submissions should be formatted with the IEEE 8.5 x 11 inches two-column format with 10-12 point font. Detailed formatting and submission instructions are available at the conference website (http://www.cloud-conf.net/CSE/2019/submission.html) IMPORTANT DATES Paper submission: April 5, 2019 Notification of acceptance: May 15, 2019 Final manuscript submission: June 15, 2019 For further information, please contact: han.qiu(a)telecom-paristech.fr.

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Submission Extension to April 1st for CFP for Virtualization in High Performance Computing and Simulation (VIRT2019)
by Uday Kurkure 22 Mar '19

22 Mar '19

Session01-VIRT The Second Special Session on Virtualization in High Performance Computing and Simulation (VIRT 2019) CALL FOR PAPERS & PARTICIPATION As part of The 17th International Conference on High Performance Computing & Simulation (HPCS 2019) http://hpcs2019.cisedu.info/ or http://conf.cisedu.info/rp/hpcs19 15 - 19 July 2019 Dublin, Ireland Paper Submission Deadline: 01 April 2019 - Extended Submissions could be for full papers, short papers, poster papers, or posters PURPOSE and SCOPE Virtualization has become the foundation of cloud computing. The scale of cloud computing data centers is similar to the supercomputers used in High Performance Computing. Both involve millions of CPU cores, tens of thousands of accelerators like GPUs, FPGAs connected by high speed interconnects and different connection topologies. Studies have shown that the GPU utilization in HPC is often at 50%. Virtualization can be the key to increasing resource utilization and managing massive infrastructures efficiently. GPU vendors have introduced virtualized versions of GPUs. FPGAs are being deployed in virtual infrastructure. These and other developments in the field, along with future exascale systems, will provide increasing degree of virtualization within the systems. The goal of this session is to be an opportunity to discuss and exchange research on the different virtualization technologies and how they can be efficiently applied in High Performance Computing. Theoretical research, engineering solutions dealing with practical tradeoffs, and complex system implementation papers are welcomed. The VIRT topics include (but are not limited to) the following: Virtualization in HPC o Energy efficient solutions for HPC applications in the cloud environment o High-availability based on system-level virtualization mechanisms for HPC o Fault tolerance mechanisms based on system-level virtualization mechanisms for HPC o Performance and evaluation of diverse HPC workloads in virtualization environment o Security Isolation, Resource Isolation and Data Isolation in Virtualized HPC o Flexibility and Ease of system administration and management for virtualized environments for HPC o Running diverse workloads o Running heterogeneous Operating Systems o Live Migration and Suspend/Resume of VMs to improve resource utilization and avoid downtime o Scheduling of resources and Workloads o Software Defined Data Centers (SDDC) o Hypervisors and other virtualization solutions tailored for HPC systems o Big Data and Analytics in Virtualized Environments o Enterprise High Performance Computing in Virtualized Environments Accelerators in Virtualized HPC Environments: o Virtualized GPUs § Scheduling of Virtual GPUs o Using FPGAs in Virtualization Stack § Dynamic Reconfiguration of FPGAs IO Virtualization o Network Virtualization o SR-IOV o Software Defined Networking (SDN) o Storage Virtualization o RDMA and vRDMA Containers in HPC o Isolation of Multiple User-Spaces o Running containers in Virtual Machines Tools o Virtualization solutions for dealing with heterogeneity in HPC environments o Compilers for heterogenous architectures involving GPUS, FPGAs, multi-core CPUs o Operating system support for virtualization in HPC systems o Debugging and/or profiling in virtual environments Algorithms o Distributed Resource Scheduling o Distributed Computing AI, Machine Learning and Deep Learning o Virtualization of Deep Learning Workloads o Deep Learning in HPC Simulations o Resource Allocation Using Machine Learning o Reinforcement Learning for Resource Allocation o Machine Learning to build tools for measurement & calibration Virtualization in Simulation INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above and other topics related to virtualization in high performance computing and simulation. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. Submission can be for - Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. - Short papers (up to 4 pages), please submit a PDF copy of your full manuscript, not to exceed 4 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. - Poster papers and Posters (please refer to http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-po… for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. Submit a PDF copy of your full manuscript to the special session paper submission site at https://cmt3.research.microsoft.com/VIRT2019 . Acknowledgement will be sent within 48 hours of submission. Conference Policies Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and soundness, presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2019 conference to present the paper at the special session as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. Contents of manuscripts submitted to the tracks program committees shall be regarded as privileged as well and handled in the same manner and standards. For more information, please refer to the Authors Info and Registration Info pages. Proceedings Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2019 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly. SPECIAL ISSUE Plans are underway to have the best papers, in extended version, selected for possible publication in a reputable journal as special issue. Detailed information will soon be announced and will be made available on the conference website. If you have any questions about paper submission or the special session, please contact the special session organizers. IMPORTANT DATES Paper Submissions: ------------------------------------------- 01 April 2019 - Extended Acceptance Notification: -------------------------------------- 22 April 2019 Camera Ready Papers and Registration Due by: ----------- 08 May 2019 Conference Dates: -------------------------------------------- 15–19 July 2019 SPECIAL SESSION ORGANIZERS Uday Kurkure VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1179 Fax: +1 650- Email: uday(a)alumni.stanford.edu Hari Sivaraman VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-3681 Fax: +1 650- Email: hsivaraman(a)vmware.com Lan Vu VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1327 Fax: +1 650- Email: lanv(a)vmware.com International Program Committee*: All submitted papers will be rigorously reviewed by the special session technical program committee members following similar criteria used in HPCS 2019 and will be published as part of the HPCS 2019 Proceedings. Cristina Boeres, Fluminense Federal University, Brazil Isaac Gelado, Nvidia Corp., Santa Clara, California, USA Kyle Hale, Illinois Institute of Technology, Illinois, USA Brian Kocoloski, Washington University in St. Louis, Missouri, USA Xiaoyi Lu, The Ohio State University - Columbus, Ohio, USA Carlos Reano, Queen's University Belfast, U.K. Federico Silla, Universitat Politecnica de Valencia, Spain Alex Sim, Lawrence Berkeley National Laboratory, California, USA Giang Son Tran, University of Science and Technology of Hanoi, Hanoi, Vietnam Blesson Varghese, Queen's University Belfast, U.K. Andrew Younge, Sandia National Laboratories, Albuquerque, New Mexico, USA Dong Ping Zhang, AMD Inc., San Jose, California, USA Jie Zhang, Amazon Inc., Washington, USA Na Zhang, VMware Inc., Boston, Massachusetts, USA Yongli Zhao, Beijing University of Posts and Telecommunications, Beijing, China

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HPBench 2019 - CFP (ONLY 10 DAYS LEFT)
by Samar Aseeri 21 Mar '19

21 Mar '19

Dear Sir, dear Madam, Submission deadline has been extended to April 1st. Accepted papers will be published at IEEE. Best regards ========================================================================== CALL FOR PAPERS The 6th Special Session on High Performance Computing for Application Benchmarking and Optimization (HPBench 2019) As part of the International Conference on High Performance Computing & Simulation (HPCS 2019) http://hpcs2019.cisedu.info/ or http://conf.cisedu.info/rp/hpcs19 Dublin, Ireland ========================================================================== Benchmarking is an essential aspect of modern high performance computing and computational science, and as such, it provides a means for quantifying and comparing the performance of different computer systems. With a large combination of aspects to benchmark, all the way from the capability of a single core, to cluster configuration, and to various software configurations, the benchmarking process is more of an art than science. However, the results of this process drive modern science and are vital for the community to draw sensible conclusions on the performance of applications and systems. This special session focuses on research work aimed at benchmarking modern parallel and distributed systems for addressing a number of real world problems. As such, contributions concerning the definition of new open platforms, new benchmarks to match modern architectural evolutions, studies on the aspects of benchmarking different aspects of systems (from raw runtime performance to energy consumption to energy consumed per data movement) and mathematical foundations of benchmarking are sought. IMPORTANT DATES : Papers Due: 1 April 2019 - Extended Author Notification: 22 April 2019 Camera-Ready Submission: 8 May 2019 Conference Dates: 15-19 July 2019 TOPICS : The HPBench topics of interest include, but are not limited to -Open Platforms for Parallel and Distributed Application Benchmarking and Optimization -Benchmarking on the Cloud -Benchmarking of Clusters, Supercomputers, and large-scale systems -Benchmarking the Performance of I/O -Benchmarking of Energy and Energy Efficiency -Benchmarking Web Services -Virtualization for Distributed Benchmarking -Data Distribution for Benchmarking -Performance results of benchmarks on modern platforms -Scalability Aspects of Benchmarking Parallel Applications on Parallel and Distributed Systems -Benchmarking of Parallel Scientific and Business Applications -Performance of Benchmarking Applications (Eg: NAS parallel benchmarks) -Techniques, frameworks and results concerning the benchmarking of library packages -Tools and frameworks for performance modeling systems and applications -Tools and frameworks for simulation, measurement and monitoring -Performance Measurements, Monitoring, Modeling and Simulation -Domain-specific benchmarks and applications (such as image processing, pattern recognition, cryptography, biometrics, differential equation solvers, signal processing and alike) -Mathematical Foundations of Benchmarking, Metrics and Heuristics GENERAL CHAIRS : - Samar Aseeri, King Abdullah University of Science and Technology, Saudi Arabia - Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany - Laurent Lefevre, INRIA, ENS Lyon, France TECHNICAL PROGRAM COMMITTEE: - Cosimo Anglano, Universitá del Piemonte Orientale, Italy - Daniel Balouek-Thomert, Rutgers University, USA - Fabio Baruffa, Intel, Germany - Suren Byna, Lawrence Berkeley National Laboratory, California, USA - Jesus Carretero, Universidad Carlos III de Madrid, Spain - Douglas Doerfler, Lawrence Berkeley National Laboratory, California, USA - Zhiyi Huang, University of Otago, New Zealand - Clay Hughes, Sandia National Laboratories, New Mexico, USA - Aleksandar Ilic, Universidade de Lisboa, Portugal - Bok Jik Lee, Gwangju Institute of Science and Technology, Korea - Ravi Reddy Manumachu, University College Dublin, Ireland - Dana Petcu, West University of Timisoara, Romania - Ivan Rodero, Rutgers University, USA - Gudula Rünger, Technische Universität Chemnitz, Germany - Domenico Talia, Università della Calabria, Rende, Italy ********************************************************************* For more information see http://hpcs2019.cisedu.info/2-conference/special-sessions/session02-hpbench Kind Regards -- Samar Aseeri, PhD Computational Scientist Extreme Computing Research Center (ECRC) Building 1 -Office: 0128 *King Abdullah University of Science & Technology* Thuwal, Saudi Arabia Email: samar.aseeri(a)kaust.edu.sa -- This message and its contents, including attachments are intended solely for the original recipient. If you are not the intended recipient or have received this message in error, please notify me immediately and delete this message from your computer system. Any unauthorized use or distribution is prohibited. Please consider the environment before printing this email.

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[Final Deadline Extension] The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
by Massimo CAFARO 16 Mar '19

16 Mar '19

WPDM 2019 The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019) http://sara.unisalento.it/~cafaro/WPDM2019/ CALL FOR PAPERS The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019 Final deadline for submissions extended to: April 7, 2019 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 2019 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 April 7, 2019: Deadline for paper submission April 24, 2019: Notification of Acceptance. May 8, 2019: Early-bird Registration ends. May 8, 2019: Submission deadline for the final version of the Papers July 1-4, 2019: ICCSA 2019 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 All submitted papers will be reviewed by the workshop technical program committee members. International Program Committee: Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA Giuseppe Di Fatta, University of Reading, UK Ann Gordon-Ross, University of Florida, USA Kenli Li, Hunan University, China Donato Malerba, University of Bari, Italy Barbara Masucci, University of Salerno, Italy Mitsunori Ogihara, University of Miami, USA Takahiko Shintani, The University of Electro-Communications , Japan Domenico Talia, University of Calabria, Italy Paolo Trunfio, University of Calabria, Italy Jeffrey D. Ullman, Stanford University, USA Laurence T. Yang, St Francis Xavier University, Canada - ************************************************************************************ 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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