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IEEE DSAA'2017: IEEE International Conference on Data Science and Advanced Analytics
by Calls＠DataSciences.org 07 Apr '17

07 Apr '17

Apologize if this circulation interrupts you. ========================================================================================= CALL For PAPERS & OTHER CALLS IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Tokyo, Japan October 19-21, 2017 http://www.dslab.it.aoyama.ac.jp/dsaa2017/ ========================================================================================= HIGHLIGHTS OF DSAA * A very competitive acceptance rate (about 10%) for regular papers * Jointly supported by IEEE, ACM and American Statistical Association * Strong inter-disciplinary and cross-domain culture * Strong engagement of analytics, statistics and industry/government * Double blind, and 10 pages in IEEE 2-column format * More about DSAA conferences: www.dsaa.co The Program Committee of the 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2017) invites the submission of technical papers for two main tracks: Research and Applications, and a series of Special Sessions of the conference which will be held in Tokyo, Japan, from October 19th to 21th, 2017. DSAA solicits both theoretical and practical works on data science and advanced analytics. All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to conference topics of interest, originality, significance, and clarity. All accepted papers, including in main tracks and special sessions, will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top quality papers accepted and presented at the conference will be selected for extension and invited to the special issues of International Journal of Data Science and Analytics (JDSA, Springer). IEEE DSAA INTRODUCTION Data science encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it data available to enterprises, society, Government or on the Web. DSAA takes a strong interdisciplinary approach, features by its strong engagement with statistics and business, in addition to core areas including analytics, learning, computing and informatics. DSAA fosters its unique Trends and Controversies session, Invited Industry Talks session, Panel discussion, and four keynote speeches from statistics, business, and data science. DSAA main tracks maintain a very competitive acceptance rate (about 10%) for regular papers. Following the preceding three editions DSAA'2016 (Montreal), DSAA'2015 (Paris), and DSAA'2014 (Shanghai), DSAA'2017 aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data, for discussion and exchange of ideas on the latest theoretical developments in Data Science as well as on the best practices for a wide range of applications. RESEARCH TRACK The Research Track is aimed at collecting original (unpublished nor under consideration at any other venue) and significant contributions related to foundations of Data Science and Analytics. Topics: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfpapers/#topics_research APPLICATIONS TRACK The Applications Track is aimed at collecting original papers describing better and reproducible practices with substantial contributions to Data Science and Analytics in real life scenarios. Topics: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfpapers/#topics_applications SPECIAL SESSIONS DSAA special sessions substantially upgrade traditional workshops to encourage emerging topics in data science while maintain rigorous selection criteria. Proposals to organize special sessions and submissions to respective special sessions are highly encouraged. CONFERENCE VENUE The DSAA’2017 conference will be held at Shinagawa Prince Hotel in Tokyo, Japan. It is just two minutes walk from Shinagawa Station, which is the first stop on the Tokaido Shinkansen from Tokyo Station and is about 20 minutes from Haneda Airport (Tokyo International Airport). IMPORTANT DATES Paper Submission deadline: May 25, 2017 Notification of acceptance: July 25, 2017 Final Camera-ready papers due: August 15, 2017 Early Registration dealine: August 31, 2017 Conference dates: October 19-21, 2017 For further details, please visit the conference website: http://www.dslab.it.aoyama.ac.jp/dsaa2017/ +++++++++++++++++ OTHER CALLS & IMPORTANT DATES +++++++++++++++++++ Special Session Proposals Proposal submission: February 25, 2017 Acceptance notification: TBA by Special Session Organizers Special session dates: October 19 – 21, 2017 For more information: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfspecsessions/ Tutorial Proposals Proposal submission: May 30, 2017, 11:59pm PST Notification: June 30, 2017 Tutorial slides/other materials due: September 20, 2017, 11:59pm PST Tutorials dates: October 19-21, 2017 For more information: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cftutorials/ Sponsorships IEEE DSAA'2017 will be held between 19-21 October 2017 in Tokyo, Japan. Sponsorship and opportunities to collaborate with DSAA'2017 should be directed to the DSAA'2017 Sponsorship Co-chairs at dsaa2017[at]dsaa.co. For more information: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfsponsors/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ORGANIZING COMMITTEE General Chairs: Hiroshi Motoda, Osaka University, Japan Fosca Giannotti, Information Science and Technology Institute of the National Research Council at Pisa, Italy Tomoyuki Higuchi, Institute of Statistical Mathematics, Japan Program Chairs -- Research Track Takashi Washio, Osaka University, Japan Joao Gama, University of Porto, Portugal Program Chairs -- Application Track Ying Li, DataSpark Pte. Ltd., Singapore Rajesh Parekh, Facebook, also with KDD2016 and The Hive, USA Special Session Chairs Huan Liu, Arizona State University, USA Albert Bifet, Telecom ParisTech, France Trends & Controversies Chairs Philip S. Yu, University of Illinois at Chicago, USA Pau-Choo (Julia) Chung, National Cheng Kung University, Taiwan Award Chair Bamshad Mobasher, DePaul University, USA NGDS (Next Generation Data Scientist) Award Chairs Kenji Yamanishi, University of Tokyo, Japan Xin Wang, University of Calgary, Canada Tutorial Chairs Zhi-Hua Zhou, Nanjing University, China Vincent Tseng, National Chiao Tung University, Taiwan Panel Chairs Geoff Webb, Monash University, Australia Bart Goethals, University of Antwerp, Belgium Invited Industry Talk Chairs Yutaka Matsuo, University of Tokyo, Japan Hang Li, Huawei Technologies, Hong Kong Publicity Chairs Tu Bao Ho, Japan Advanced Institute of Science & Technology, Japan Diane J. Cook, Washington State University Marzena Kryszkiewicz, Warsaw University of Technology, Poland Local Organizing Chairs Satoshi Kurihara, University of Electro-Communications, Japan Hiromitsu Hattori, Ritsumeikan University, Japan Publication Chair Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology, Japan Web Chair Kozo Ohara, Aoyama Gakuin University, Japan Sponsorship Chairs Yoji Kiyota, NEXT Co., Ltd, Japan Kiyoshi Izumi, University of Tokyo, Japan Tadashi Yanagihara, KDDI Corp., KDDI R\&D Laboratory, Japan Longbing Cao, University of Technology Sydney, Australia Byeong Kang University of Tasmania, Australia CONTACT INFORMATION Hiroshi Motoda motoda(a)ar.sanken.osaka-u.ac.jp Satoshi Kurihara skurihara(a)uec.ac.jp

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CALL FOR PAPERS - The 3nd International Conference on Big Data Innovations and Applications (Innovate-Data 2017)
by Bilan Zhu 07 Apr '17

07 Apr '17

------------------------ Call for Papers (Deadline Extended: 18 April 2017 (Firm)----------------------------------- The 3rd International Conference on Big Data Innovations and Applications (Innovate-Data 2017) (IEEE CS-TCI) 21-23 August 2017, Prague, Czech Republic http://www.ficloud.org/innovate-data-2017/ ---------------------------------------------------------------------------- - 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 2017 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. Topics of interest include, but are not limited to: - Innovations in big data - Data models and architectures - Applications of big data - Big data engineering and design - Security, privacy, and trust - Data protection and integrity - Identity theft, data loss and leakage - Legal and ethical issues - Data analytics and metrics - Data representation and structures - Data management and processing - Data capturing and acquisition - Tools and technologies - QoS of big data - Social networks analysis - Data searching and mining - Visualisation of data - Personal data logging and quantified-self - Context-aware data - Personalisation of data - Data economics - Applications of open and big data - Open and linked data - Methodologies and use cases - Usability issues - Storages and network requirements - Network models and protocols - Big data in cloud and IoT 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/innovate-data-2017/). All papers accepted for this conference will 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 website). Important Dates: Submission Deadline: 18 April 2017 (Firm) Authors Notification: 30 May 2017 Final Manuscript Due: 20 June 2017 Organising Committee General Chair Mazin Yousif, T-Systems International, USA Program Co-Chairs Dana Petcu, Western University of Timisoara, Romania Muhammad Younas, Oxford Brookes University, UK Local Organising Chair Irena Holubova, Charles University, Prague, Czech Republic Publication Chair Irfan Awan, University of Bradford, UK Workshop Coordinator Lay Ki Soon, Multimedia University, Malaysia International Liaison Chair Ruben Casado, Accenture Digital, Madrid, Spain Publicity Chair Bilan Zhu, Tokyo University of Agriculture and Technology, Japan Journal Special Issues Coordinator Farookh Hussain, University of Technology Sydney, Australia

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TNSM Special Issue on Advances in Big Data Analytics for Management (Submissions due: 3 May 2017)
by Yixin Diao 06 Apr '17

06 Apr '17

=========================================================================== IEEE Transactions on Network and Service Management Special Issue on Advances in Big Data Analytics for Management http://www.comsoc.org/tnsm/cfp/si-bdm (Submissions due: 3 May 2017) =========================================================================== Cloud and network analytics can harness the immense stream of operational data from clouds and networks, and can perform analytics processing to improve reliability, configuration, performance, and security management. In particular, we see a growing trend towards using statistical analysis and machine learning to improve operations and management of IT systems and networks. Research is therefore needed to understand and improve the potential and suitability of Big Data analytics in the context of systems and network management. This will not only provide deeper understanding and better decision making based on largely collected and available operational data, but present opportunities for improving data analysis algorithms and methods on aspects such as accuracy and scalability. Moreover, there is an opportunity to define novel platforms that can harness the vast operational data and advanced data analysis algorithms to drive management decisions in networks, data centers, and clouds. IEEE Transactions on Network and Service Management (IEEE TNSM) is a premier journal for timely publication of archival research on the management of networks, systems, services and applications. Following the success of TNSM special issue on Big Data Analytics for Management (September 2016), this special issue of TNSM will focus on "Advances in Big Data Analytics for Management," presenting recent, emerging approaches and technical solutions that can exploit Big Data and analytics in management solutions. We welcome submissions addressing the underlying challenges of Big Data Analytics for Management and presenting novel theoretical or experimentation results. Survey papers that offer a perspective on related work and identify key challenges for future research will be considered as well. ----------------------------------------------------------------------- Topics of Interest Topics of interest for this special issue include, but are not limited, to the following: Big Data Analytics and Machine Learning - Analysis, modelling and visualization - Operational analytics and intelligence - Event and log analytics - Anomaly detection and prediction - Monitoring and measurements for management - Harnessing social data for management - Predictive analytics and real-time analytics - Data mining, statistical modeling, and machine learning for management Application Domains and Management Paradigms - Cloud and network analytics - Data centric management of virtualized infrastructure, clouds and data centers - Data centric management of storage resources and software defined networks - Data centric management of Internet of Things and cyber-physical systems - Platforms for analyzing and storing logs and operational data for management tasks - Applications of Big data analytics to traffic classification, root-cause analysis, service quality assurance, IT service and resource management - Analytics and machine learning applications to cyber-security, intrusion detection, threat analysis, and failure detection ----------------------------------------------------------------------- Paper Submission All papers should be submitted through the IEEE Transactions on Network and Service Management manuscript submission site at https://mc.manuscriptcentral.com/tnsm. Authors must indicate in the submission cover letter that their manuscript is intended for the "Advances in Big Data Analytics for Management" special issue. Each submission will be limited to 14 pages in IEEE 2-column format. Detailed author guidelines can be found at http://www.comsoc.org/tnsm/author-guidelines. ----------------------------------------------------------------------- Important Dates Submission Deadline: May 3, 2017 Author Notification: July 15, 2017 Revision Deadline: September 15, 2017 Final Decision: November 1, 2017 Camera Ready: December 1, 2017 Publication: March 2018 ----------------------------------------------------------------------- Guest Editors Giuliano Casale (Imperial College London, UK) Yixin Diao (IBM T. J. Watson Research Center, USA) Marco Mellia (Politecnico di Torino, Italy) Rajiv Ranjan (Newcastle University, UK) Nur Zincir-Heyood (Dalhousie University, Canada) Albert Zomaya (University of Sydney, Australia) For more information, please contact the guest editors at TNSM.SI.BDM(a)gmail.com.

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SISAP 2017 -- Call for Papers
by Kröger, Peer 06 Apr '17

06 Apr '17

(Apologies to those who may have received this message more than once.) CALL FOR PAPERS - SISAP 2017 10th International Conference on Similarity Search and Applications Munich, Germany, October, 4 - 6, 2017 Web site: http://www.sisap.org/2017/ Submission site (EasyChair) is now open at: https://easychair.org/conferences/?conf=sisap2017. ---------------------------------------- Scope ---------------------------------------- The 10th International Conference on Similarity Search and Applications (SISAP) is an annual forum for researchers and application developers in the area of similarity data management. It aims at the technological problems shared by numerous application domains, such as data mining, information retrieval, multimedia, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that make use of similarity search as a necessary supporting service. >From its roots in metric indexing, SISAP has expanded to become the only international conference entirely devoted to all issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. ---------------------------------------- Topics ---------------------------------------- The specific topics include, but are not limited to: * Similarity queries - k-NN, range, reverse k-NN, top-k, approximate, etc. * Similary measures - graph, structural, time series, complex data, tensors, secondary similarity, etc. * Similarity operations - joins, ranking, classification, categorization, filtering, etc. * Indexing and access methods for similarity-based processing * Evaluation techniques for similarity queries and operations * Merging/combining multiple similarity modalities * Cost models and analysis for similarity data processing * Scalability issues and high-performance similarity data management * Feature selection and extraction for similarity search * Multimedia retrieval systems * Security and privacy of similarity search * Similarity for forensics and security * Distributed similarity search * Similarity search cloud services * Languages for similarity databases * Applications of similarity-based operations * Visual analytics for similarity-based operations * Test collections and benchmarks * Performance studies and comparisons * Industrial applications and case studies * Theory - models of similarity, intrinsic dimensionality, discriminability and contrast, manifolds and subspaces, etc. ---------------------------------------- Important Dates ---------------------------------------- Abstracts Due: May 12, 2017 Full Papers Due: May 19, 2017 Conference: October 4-6, 2017 ---------------------------------------- Paper Submission and Publication ---------------------------------------- SISAP 2017 allows for three forms of submissions: long research papers (from 9 to 14 pages), short research papers (of up to 8 pages) and demo papers (of up to 8 pages). Full papers are expected to be descriptions of complete technical work, whereas short papers can describe innovative approaches or preliminary results which may nevertheless require more work to mature. Vision papers and other position papers should be submitted as short research papers. Demo submissions should provide the motivation for the demonstrated concepts, the information about the technology and the system to be demonstrated (including a system description, functionality and figures when applicable), and should state the significance of the contribution. The scenarios within which the demonstration applies should also be explained. Evaluation criteria for the demonstration proposals include: novelty, technical advances and challenges, and the overall practical attractiveness of the demonstrated system. By submitting a paper, its authors commit to its presentation at the conference in the event that the paper is accepted. For an accepted paper to be included in the proceedings, at least one of its authors must register for the conference. At SISAP 2017, all research papers will be presented both orally and in a poster session. The demos will also be presented in the poster session - posters should be prepared for these as well. All research and demo papers will be given an entry in the conference proceedings. Papers submitted to SISAP 2017 must be written in English and formatted according to the LNCS guidelines. Papers will be submitted in PDF format through EasyChair (https://easychair.org/conferences/?conf=sisap2017). If you experience any problems during the submission, please contact the Program Committee Co-Chairs at sisap2017(a)easychair.org. The proceedings of SISAP will be published by Springer as a volume in the Lecture Notes in Computer Science (LNCS) series. For SISAP 2016, as in previous years, extended versions of 5 excellent papers will be invited for publication in a special issue of the journal Information Systems. The conference will also confer a Best Paper Award, as judged by the Program Committee Co-Chairs and Steering Committee. ---------------------------------------- Special Session for Industry ---------------------------------------- A special session devoted to industrial applications and case studies will also take place. Submissions are solicited in multimedia, broadcasting, archiving, image processing, social networks, bioinformatics, and any other area in which similarity technology has made a practical impact. Of particular interest are submissions concerned with one or more of the following: * Use cases and scenarios * Best practice for similarity search * Adoption of similarity search in new industrial contexts * Requirements for research and development ---------------------------------------- Keynote Speakers ---------------------------------------- Christian S. Jensen Aalborg University, Denmark Cyrus Shahabi University of Southern California, USA Reinhard Förtsch Deutsches Archäologisches Intitut (German Institute for Archaeology), Germany ---------------------------------------- Organization ---------------------------------------- Steering Committee Edgar Chávez, CICESE, Mexico Pavel Zezula, Masaryk University, Czech Republic General Chair Peer Kröger, Ludwig-Maximilians-Universität München, Germany Program Committee Co-Chairs Christian Beecks, Fraunhofer FIT, Germany Peer Kröger, Ludwig-Maximilians-Universität München, Germany Local Arrangements Susanne Grienberger, Ludwig-Maximilians-Universität München, Germany Janina Bleicher, Ludwig-Maximilians-Universität München, Germany Proceedings Chair Felix Borutta, Ludwig-Maximilians-Universität München, Germany Web Chair Florian Richter, Ludwig-Maximilians-Universität München, Germany

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BIOKDD-DEXA'17: CFP
by Mourad Elloumi 06 Apr '17

06 Apr '17

*CALL FOR PAPERS* *8th International Workshop on* *Biological **Knowledge Discovery from Big Data **(BIOKDD'17)* Held in parallel with *28th International Conference on Database and * *Expert Systems Applications **(**DEXA’17**)* *www.dexa.org/biokdd2017 <http://www.dexa.org/biokdd2017>* Lyon, France August 28 - 31, 2017 In the recent years, there has been a rapid development of biological technologies producing more and more *biological data*, i.e., data related to biological macromolecules (DNA, RNA and proteins). The rise of *Next Generation Sequencing* (NGS) technologies, also known as *high-throughput sequencing* technologies, has contributed actively to the deluge of these data. In general, these data are big, heterogeneous, complex, and distributed in all over the world in databases. Analyzing biological big data is a challenging task, not only, because of its complexity and its multiple and numerous correlated factors, but also, because of the continuous evolution of our understanding of the biological mechanisms. Classical approaches of biological data analysis are no longer efficient and produce only a very limited amount of information, compared to the numerous and complex biological mechanisms under study. From here comes the necessity to adopt new computer tools and develop new *in silico* high performance approaches to support us in the analysis of biological big data and, hence, to help us in our understanding of the correlations that exist between, on one hand, structures and functional patterns in biological macromolecules and, on the other hand, genetic and biochemical mechanisms. *Biological **Knowledge Discovery from Big Data* (BIOKDD) is a response to these new trends. Topics of BIOKDD’17 workshop include, but not limited to: *Data Preprocessing: *Biological Big Data Storage*, *Representation and Management (data warehouses, databases, sequences, trees, graphs, biological networks and pathways, …), Biological Big Data Cleaning (errors removal, redundant data removal, completion of missing data, …), Feature Extraction (motifs, subgraphs, …), Feature Selection (filter approaches, wrapper approaches, hybrid approaches, embedded approaches, …). *Data Mining: *Biological Big Data Regression (regression of biological sequences…), Biological Big Data Clustering/Biclustering (microarray data biclustering, clustering/biclustering of biological sequences, …), Biological Big Data Classification (classification of biological sequences…), Association Rules Learning from Biological Big Data, Text mining and Application to Biological Sequences, Web mining and Application to Biological Big Data, Parallel, Cloud and Grid Computing for Biological Big Data Mining. *Data Postprocessing:* Biological Nuggets of Knowledge Filtering, Biological Nuggets of Knowledge Representation and Visualization, Biological Nuggets of Knowledge Evaluation (calculation of the classification error rate, evaluation of the association rules *via* numerical indicators, e.g. *measurements of interest*, … ), Biological Nuggets of Knowledge Integration *PAPER SUBMISSION DETAILS: * Authors are invited to submit electronically original contributions in English. Submitted papers should not exceed 5 pages in IEEE CSP format *http://www.computer.org/portal/web/cscps/formatting <http://www.computer.org/portal/web/cscps/formatting>*. All accepted papers will be published in the proceedings of DEXA’17 Workshops with IEEE CSP*. *One of the authors of an accepted paper must register to DEXA’17 conference and present the paper at BIOKDD’17 workshop. For paper registration and electronic submission see http://confdriver.ifs.tuwien.ac.at/dexa2017/ starting from January 2017. *IMPORTANT DATES:* Submission of abstracts: April 16, 2017 Submission of full papers: April 23, 2017 Notification of acceptance: May 17, 2017 Camera-ready copies due: June 07, 2017 *PROGRAM COMMITTEE:* Mourad Elloumi, LaTICE, University of Tunis, Tunisia (PC Chair) Emanuel Weitschek, Uninetuno University, Rome, Italy Daisuke Kihara, Purdue University, West Lafayette, USA Bhaskar DasGupta, University of Illinois at Chicago, Chicago, USA Giuseppe Lancia, University of Udine, Italy Dominique Lavenier, GenScale, IRISA-CNRS, Rennes, France Robert Harrison, Georgia State University, Atlanta, Georgia, USA Hasan Davulcu, Arizona State University, Arizona, USA Vladimir Makarenkov, University of Québec, Montréal, Canada Ronnie Alves, Instituto Tecnológico Vale D.S, Belém, Brasil Paul Yoo, Bournemouth University, UK Davide Verzzotto, Genome Institute of Singapore, Singapore Matteo Comin, University of Padova, Padova, Italy Adrien Goëffon, University of Angers, France Tolga Can, Middle East Technical University, Ankara, Turkey Maad Shatnawi, Higher colleges of Technology, Abu Dhabi, UAE Evangelos Theodoridis, Intel Labs Europe, London, UK. Manoj Kumar Shukla, Amity School of Engineering, Amity University, Noida, India Abdelouahid Lyhyaoui, University Abdelmalek Essaadi, Tangier, Morocco Gaurav Kumar, Virginia Commonwealth University, Richmond, USA Giosuè Lo Bosco, University of Palermo, Italy Yongchao Liu, Georgia Institute of Technology, Georgia, USA Zina M. Ibrahim, King’s College, London, UK ***

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CRITIS 2017 Call for Papers
by Cristina Alcaraz 05 Apr '17

05 Apr '17

Dear Colleague, we invite you to submit a contribution to CRITIS 2017, the International Conference on Critical (Information) Infrastructures Security. This year the conference will take place in Lucca, a gorgeous Renaissance city in Tuscany, 9-11 October 2017. Papers can be submitted via EasyChair; for poster contributions, submission can be limited to an extended abstract. All accepted contributions will be included in full length in the pre-proceedings that will appear at the time of the conference; accepted papers are planned to be published in the LNCS Springer-Verlag series. Special attention will be devoted to young talents. To this purpose, a price (YCA: Young Critis Award) will be awarded to the best contribution presented by a young author. On 12-13 October, the conference will be followed by two satellite workshops on Energy and Water. For further details, please visit our website www.critis2017.org . We would appreciate you advertise the conference by the attached leaflet. The organizers: Cristina Alcaraz, Hypatia Nassopoulos, Antonio Scala, Gregorio D’Agostino, Grigore Havarneanu

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[simu-conf] DEADLINE EXTENDED - WinterSim 2017
by vsim-conf＠sce.carleton.ca 05 Apr '17

05 Apr '17

DEADLINE EXTENDED - Contributed Papers Deadline is April 28, 2017 Winter Simulation Conference (WSC) 2017 - Call for Papers December 3-6, 2017 Red Rock Casino Resort & Spa 11011 W. Charleston Blvd. Las Vegas, NV 89135 www.wintersim.org WSC TURNS 50: SIMULATION EVERYWHERE! >From experimentation to theory; standards and advanced methodologies, modeling and simulation is continually pushing the envelope of the available technologies, as many sectors have growing needs to process, visualize, make readable, understand, and deploy complex models that use immense amounts of data. These players need to transform data into hypothesis building and critical decision-making, and to change their models in response to new hypotheses, usually involving multiple highly specialized experts working together in geographically distant areas. After 50 years, we are now beyond Modeling and Simulation using Grid and Cloud computing, Web-based and distributed simulation and other recent technologies. We need to deal with computing power and storage in heterogeneous environments, resources virtualization; services consumed on demand (with minimal limitation for resource location), power issues, massive datasets. We face new challenges as we have ubiquitous processors that can process applications on demand. WSC 2017 focus is on addressing how to achieve the goal of having Simulation Everywhere! WSC 2017 is sponsored by: ACM/SIGSIM, IISE (Institute of Industrial and Systems Engineers), INFORMS-SIM and SCS (Society for Modeling and Simulation International), with Technical Co-Sponsorship from ASA (American Statistical Association), ASIM (Arbeitsgemeinschaft Simulation), IEEE/SMC (Systems, Man and Cybernetics) and NIST (National Institute of Standards and Technology). LOCATION WSC 2017 will be held at the Red Rock Casino Resort & Spa in Las Vegas, NV. The resort hotel provides an idyllic getaway just minutes from the world-renowned Las Vegas Strip and is ideally situated near the entrance to the Red Rock Canyon National Recreation Center. PROGRAM WSC 2017 features a comprehensive program ranging from introductory tutorials to state-of-the-art research and practice. Planned tracks are: - Agent-Based Simulation - Analysis Methodology - Architecture and Construction - Aviation Modeling and Analysis - Cyber-Physical Systems - Environment and Sustainability Applications - Future of Simulation - Gaming - Healthcare Applications - History of Simulation - Hybrid Simulation - Manufacturing Applications - Logistics, SCM, Transportation - Military Applications and Homeland Security - Intelligent, Adaptive and Autonomous Systems (MSIAAS) - Modeling Methodology - Project Management - Simulation Education - Simulation Optimization - Social and Behavioral Simulation - Introductory Tutorials - Advanced Tutorials Also, a PhD Colloquium, Poster Session, Vendor and Case Studies tracks provide background on established and new methods, tools and application domains. WSC 2017 continues to incorporate the MASM (Modeling and Analysis for Semiconductor Manufacturing) Conference, the leading modeling and analysis conference for global semiconductor manufacturing and supply chain operations. KEYNOTE & TITAN SPEAKERS 50th Anniversary Keynote - Barry L Nelson Northwestern University WSC 2067: What Are The Chances? At the November 1967 "Conference on the Applications of Simulation Using GPSS" it seems unlikely that anyone was wondering if the conference would still be occupying a big hotel in 2017. Conferences persist for many reasons, but a technical conference like WSC has to remain relevant to users, vendors, researchers and consumers (not just hotels) to survive. If our kind of simulation vanished, then so (eventually) would WSC. What is required for simulation to "remain relevant" for the next 50 years? Without fear of having to answer for my crimes in 2067, I boldly speculate on what SHOULD matter for the next 10-20 years, if not the next 50, with a focus on our strength: dealing with uncertainty. 50th Anniversary Titans Robert G. Sargent Professor Emeritus - Syracuse University A Prospective on Fifty-Five Years of the Evolution of Scientific Respect for Simulation Bernard P. Zeigler Professor Emeritus of Electrical and Computer Engineering - University of Arizona MASM Keynote Stephane Dauzere-Peres Professor, Ecole des Mines de Saint-Etienne Achievements and Lessons Learned from a Long-term Academic-Industrial Collaboration Military Keynote Douglas Hodson Associate Professor, Professor of Computer Engineering at the Air Force Institute of Technology (AFIT) Military Simulation: A Ubiquitous Future 50th Anniversary Track Keynote Brian Hollocks Professor, Bournemouth University, Faculty of Management. History of Simulation in the United Kingdom Further information about submission and the conference: http://www.wintersim.org Twitter: @WSConf Facebook: https://www.facebook.com/wintersimulationconference/ [apologies for duplicated messages. Problems/issues: vsim-conf-owner(a)sce.carleton.ca]

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Innovate-Data 2017 - Deadline Extended 18 April 2017 (Firm)
by Innovate-Data 05 Apr '17

05 Apr '17

------------------------ Call for Papers (Deadline Extended: 18 April 2017 (Firm)----------------------------------- The 3rd International Conference on Big Data Innovations and Applications (Innovate-Data 2017) (IEEE CS-TCI) 21-23 August 2017, Prague, Czech Republic http://www.ficloud.org/innovate-data-2017/ ----------------------------------------------------------------------------- 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 2017 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. Topics of interest include, but are not limited to: - Innovations in big data - Data models and architectures - Applications of big data - Big data engineering and design - Security, privacy, and trust - Data protection and integrity - Identity theft, data loss and leakage - Legal and ethical issues - Data analytics and metrics - Data representation and structures - Data management and processing - Data capturing and acquisition - Tools and technologies - QoS of big data - Social networks analysis - Data searching and mining - Visualisation of data - Personal data logging and quantified-self - Context-aware data - Personalisation of data - Data economics - Applications of open and big data - Open and linked data - Methodologies and use cases - Usability issues - Storages and network requirements - Network models and protocols - Big data in cloud and IoT 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/innovate-data-2017/). All papers accepted for this conference will 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 website). Important Dates: Submission Deadline: 18 April 2017 (Firm) Authors Notification: 30 May 2017 Final Manuscript Due: 20 June 2017 Organising Committee General Chair Mazin Yousif, T-Systems International, USA Program Co-Chairs Dana Petcu, Western University of Timisoara, Romania Muhammad Younas, Oxford Brookes University, UK Local Organising Chair Irena Holubova, Charles University, Prague, Czech Republic Publication Chair Irfan Awan, University of Bradford, UK Workshop Coordinator Lay Ki Soon, Multimedia University, Malaysia International Liaison Chair Ruben Casado, Accenture Digital, Madrid, Spain Publicity Chair Bilan Zhu, Tokyo University of Agriculture and Technology, Japan Journal Special Issues Coordinator Farookh Hussain, University of Technology Sydney, Australia

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IEEE FiCloud 2017 - Deadline Extended 18 April 2017 (Firm)
by FiCloud Conference 05 Apr '17

05 Apr '17

----------------------Call for Papers (Deadline Extended: 18 April 2017 (Firm)------------------------------------- The IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud 2017) 21-23 August 2017, Prague, Czech Republic http://www.ficloud.org/2017/ --------------------------------------------------------------------------------------- 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: - Software Architecture and Middleware - Mobile Cloud Services - Data and Knowledge Management - Context-awareness and Location-awareness - Security, Privacy and Trust - Software-defined Networking - Performance Evaluation and Modelling - Networking and Communication Protocols - IoT Services and Applications - Network Design and Architecture - Smart Environment - Intelligent Systems for Cloud and Services Computing - Energy Efficiency - Virtualization - Clouds at the Edges - Industry Track - General Track-Future IoT and Cloud Computing 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/2017/). All papers accepted for this conference will 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 website). Important Dates: Submission Deadline: 18 April 2017 (Firm) Authors Notification: 30 May 2017 Final Manuscript Due: 20 June 2017 Organising Committee: General Chair: Athman Bouguettaya, RMIT University, Australia Muhammad Younas, Oxford Brookes University, UK Program Co-Chairs: Markus Aleksy, ABB, Germany Jamal Bentahar, University of Concordia, Canada Local Organising Chair: Irena Holubova, Charles University, Prague, Czech Republic Workshop Coordinator: Filipe Portela, University of Minho, Portugal Journal Special Issues Coordinator: Farookh Hussain, University of Technology Sydney, Australia Publicity Chair: Joyce El Haddad, University of Paris Dauphine, France Track Chairs: Stephan Reiff-Marganiec, University of Leicester, UK Shuiguang Deng, Zhejiang University, China Maude Manouvrier, Universite Paris-Dauphine, France Hai Dong, RMIT University, Australia Indrakshi Ray, Colorado State University, USA Natalia Kryvinska, University of Vienna, Austria Helen Karatza, Aristotle University of Thessaloniki, Greece Zahoor Ali Khan, Dalhousie University, Canada Kashif Saleem, King Saud University, KSA Lei Shu, Guangdong University of Petrochemical Technology, China Mithun Mukherjee, Guangdong University of Petrochemical Technology, China Nandini Mukherjee, Jadavpur University, India Said Tazi, LAAS-CNRS, France Khalil Drira, LAAS-CNRS, France David Chiu, University of Puget Sound, USA Antonio Celesti, University of Messina, Italy Luiz Fernando Bittencourt, University of Campinas, Brazil Edmundo Madeira, University of Campinas, Brazil Fano Ramparany, Orange, France Ruben Casado, Accenture, Spain

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Preliminary CFP: 3rd International Workshop on Algorithmic Aspects of Cloud Computing (ALGOCLOUD 2017)
by George Pallis 05 Apr '17

05 Apr '17

[Please accept our apologies if you received multiple copies of this call] [Preliminary Call for Papers] Submission Deadline: June 23, 2017 ---------------------------------------------------------------------------------- 3rd International Workshop on Algorithmic Aspects of Cloud Computing (ALGOCLOUD 2017) co-located with ALGO 2017 September 4th - 5th, 2017 – Vienna, Austria ---------------------------------------------------------------------------------- ALGOCLOUD (https://algo2017.ac.tuwien.ac.at/algocloud/ <https://algo2017.ac.tuwien.ac.at/algocloud/>) is the international forum bringing together international researchers, students, and practitioners to present research activities and results on topics related to algorithmic, design, and development aspects of modern cloud-based systems. ALGOCLOUD is co-located with the ALGO conference (https://algo2017.ac.tuwien.ac.at/ <https://algo2017.ac.tuwien.ac.at/>), a leading international meeting of researchers working in algorithms and their engineering. ALGOCLOUD welcomes submissions on all theoretical, design, and implementation aspects of modern cloud-based systems. ALGOCLOUD is particularly interested in novel algorithms in the context of cloud computing, cloud architectures, as well as experimental work that evaluates contemporary cloud approaches and pertinent applications. ALGOCLOUD also welcomes demonstration manuscripts, which discuss successful elastic system developments, as well as experience/use-case articles. Contributions may span a wide range of algorithms for modeling, practices for constructing and techniques for evaluating operations and services in a variety of systems, including but not limited to, virtualized infrastructures, cloud platforms, datacenters, cloud-storage options, cloud data management, non-traditional key-value stores on the cloud, HPC architectures, etc. ***Keynote Speaker: Prof. Babak Falsafi (EPFL, Switzerland) *** TOPICS Suggested topics include, but are not limited to: - Algorithmic aspects of elasticity - Search and retrieval algorithms for cloud infrastructures - Scale-up and -out for NoSQL and columnar databases - Resource provisioning and management - Monitoring and analysis of elasticity for virtualized environments - Analysis of containerized applications - Cloud deployment tools and their analysis - Query languages and novel programming models - Content delivery through cloud infrastructures - Load-sharing and caching for cloud systems - Data structures and algorithms for eventually-consistent stores - Scalable access structures and indexing for cloud data-stores - Algorithmic aspects for cloud applications - Machine learning, analytics and data science - Resource availability, reliability and fail-over - NoSQL and schema-less data modeling and integration - Consistency, replication and partitioning CAP - Transactional models and algorithms for cloud data-stores PROCEEDINGS Accepted papers will be presented at the conference and included in the proceedings to be published in the Lecture Notes in Computer Science ARCoSS series by Springer-Verlag (pending approval). SUBMISSION GUIDELINES Submissions must have a length of up to 12 pages in LNCS format (excluding references and an optional appendix to be read at the discretion of the Program Committee). Papers should be submitted electronically via the Easy Chair Submission system (https://easychair.org/conferences/?conf=algocloud17 <https://easychair.org/conferences/?conf=algocloud17>). By submitting a paper the authors acknowledge that in case of acceptance at least one of the authors must register and attend ALGO 2017 or ALGOCLOUD 2017, and present the paper. PC members are strongly encouraged to submit papers. IMPORTANT DATES - Paper submission: June 23, 2017 - Author notification: July 25, 2017 - Workshop: September 4-5, 2017 COMMITTEES Workshop Chairs  - Dan Alistarh (IST, Austria) - Alex Delis (University of Athens, Greece) Proceedings and Publicity Chair - George Pallis (University of Cyprus, Cyprus) PC Members  - Stergios Anastasiadis (University of Ioannina, Greece) - Athman Bouguettaya (University of Sydney, Australia) - Marco Canini (KAUST, Saudi Arabia) - Aleksandar Dragojevic (Microsoft Research, UK) - Schahram Dustdar (TUW, Austria) - Rachid Guerraoui (EPFL, Switzerland) - Gabriel Istrate (University of Timişoara & e-Austria RI, Romania) - Thomas Karagiannis (Microsoft Research, UK) - Nectarios Koziris (NTUA, Greece) - Fernando Pedone (University of Lugano, Switzerland) - Florin Pop (University Politehnica of Bucharest, Romania) - Raj Ranjan (Newcastle University, UK) - Luis Rodrigues (Universidade Técnica de Lisboa, Portugal) - Rizos Sakellariou (University of Manchester, UK) - Stefan Schmid (Aalborg University, Denmark) - Zahir Tari (RMIT, Australia) - Vasileios Trigonakis (EPFL, Switzerland) - Dimitris Tsoumakos (Ionian University, Greece) Steering Committee - Spyros Sioutas (Ionian University, Greece) - Peter Triantafillou (University of Glasgow, UK) - Christos D. Zaroliagis (University of Patras, Greece)

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