computational.science

computational.science@lists.iccsa.org

3 participants
1981 discussions

CFP: Euro-Par 2017 Workshop on Parallel and Distributed Computing Education (Euro-EDUPAR)
by Rizos Sakellariou 20 Apr '17

20 Apr '17

[Apologies for crossposting - please kindly disseminate] ***** CALL FOR PAPERS ***** 3rd European Workshop on Parallel and Distributed Computing Education for Undergraduate Students (Euro-EDUPAR), in conjunction with Euro-Par 2017, Santiago de Compostela, Spain, August 28/29, 2017. http://www.cs.man.ac.uk/~rizos/euroedupar/index.html Submission deadline: May 5, 2017 Submission web site: https://easychair.org/conferences/?conf=europar2017workshops SCOPE AND OBJECTIVES Parallel and Distributed Computing (PDC) is nowadays omnipresent. It is in all the computational environments, from mobile devices, laptops and desktops to clusters, large-scale data centers and supercomputers, often comprising CPUs and/or coprocessors of different types (GPU, MIC, FPGA). It becomes now vital to train new generations of scientists and engineers in the use of these computational systems: parallelism-related topics must be incorporated in Computer Science (CS) and Computer Engineering (CE) programs. In this context, the 3rd European Workshop on Parallel and Distributed Computing Education for Undergraduate Students (Euro-EDUPAR) invites unpublished manuscripts from individuals or teams from academia, industry, and other educational and/or research institutes on topics pertaining to the teaching of PDC topics in the Computer Science and Engineering curriculum as well as in Computational Science with PDC and/or High Performance Computing (HPC) concepts, with emphasis on European undergraduate teaching. The topics of interest include, but are not limited to: 1. Parallel and Distributed Computing (PDC) teaching in the European space 2. Pedagogical issues in PDC, educational methods and learning mechanisms 3. Novel ways of teaching PDC topics, including informal learning environments 4. Curriculum design, models for incorporating PDC topics in core CS/CE curriculum 5. Experience with incorporating PDC topics into core CS/CE courses 6. Experience with incorporating PDC topics in the context of other applications learning 7. Pedagogical tools, programming environments, and languages for PDC 8. e-Learning, e-Laboratory, online courses related to PDC 9. PDC teaching experiences at non-university levels: secondary school, industry, etc SUBMISSION GUIDELINES The submissions will follow the Euro-Par guidelines, in PDF format, and should not exceed 12 pages in the Springer LNCS style, which can be downloaded from the Springer Web site. Paper submission is handled electronically (EasyChair). The 12-page limit is comprehensive (text, figures, references). Complete LaTeX sources must be provided for accepted papers. Short papers and work-in-progress papers can be submitted and presented at the workshop, but they will not be eligible for the post-conference proceedings. Submissions will be reviewed by at least 3 members of the Program Committee and will be assessed according to impact at European level, the novelty of contributions, impact on broader undergraduate curriculum, relevance to the goals of the workshop, results and methodology. The workshop proceedings will be published in a LNCS Euro-Par 2017 Workshops volume after the conference. Only full papers between 10 and 12 pages presented at the workshop will be included. IMPORTANT DATES May 5, 2017: Paper submission deadline June 16, 2017: Author notification July 21, 2017: Paper due, for informal workshop proceedings October 3, 2017: Camera-ready paper (including LaTeX sources) deadline ORGANIZATION General Co-Chairs: Sushil K. Prasad, Georgia State University, USA Yves Robert, Ecole Normale Superieure de Lyon, France Arnold L. Rosenberg, Northeastern University, USA Program Chair: Rizos Sakellariou, University of Manchester, UK Steering Committee: Henri E. Bal, Vrije Universiteit, the Netherlands Alexey Lastovetsky, Univesity College Dublin, Ireland Christian Lengauer, University of Passau, Germany Pierre Manneback, University of Mons, Belgium Sushil K. Prasad, Georgia State University, USA Yves Robert (Chair), Ecole Normale Superieure de Lyon, France Arnold L. Rosenberg, Northeastern University, USA Rizos Sakellariou, University of Manchester, UK Cristina Silvano, Politecnico di Milano, Italy Paul G. Spirakis, University of Liverpool, UK Denis Trystram, Grenoble Institute of Technology, France Mateo Valero, Barcelona Supercomputing Center, Spain Vladimir Voevodin, Moscow State University, Russia Program Committee: Marco Aldinucci, University of Torino, Italy Jorge G. Barbosa, University of Porto, Portugal Pascal Bouvry, University of Luxembourg, Luxembourg Marian Bubak, AGH Krakow, Poland and University of Amsterdam, the Netherlands Alex Delis, University of Athens, Greece Efstratios Gallopoulos, University of Patras, Greece Chryssis Georgiou, University of Cyprus, Cyprus Domingo Gimenez, University of Murcia, Spain Sergei Gorlatch, University of Muenster, Germany Thilo Kielmann, VU Amsterdam, the Netherlands Alexey Lastovetsky, UCD, Ireland Tomas Margalef, UAB, Spain Svetozar Margenov, Bulgarian Academy of Sciences, Bulgaria Milan Mihajlovic, University of Manchester, UK Marcin Paprzycki, Polish Academy of Sciences, Poland Dana Petcu, West University of Timisoara, Romania Gudula Ruenger, TU Chemnitz, Germany Jesper Larsson Traff, TU Wien, Austria Philippas Tsigas, Chalmers University, Sweden Juan Tourino, University of A Coruna, Spain Vladimir Voevodin, Moscow State University, Russia David Walker, Cardiff University, UK

1 0

CFP -- ATIR: Workshop on Axiomatic Thinking for Information Retrieval and Related Tasks @ SIGIR 2017
by Stefano Mizzaro 19 Apr '17

19 Apr '17

Call For Papers (with apologies for multiple copies) ATIR: Workshop on Axiomatic Thinking for Information Retrieval and Related Tasks Co-located with ACM SIGIR 2017 August 11, 2017. Tokyo, Japan Workshop Website: https://www.eecis.udel.edu/~hfang/ATIR.html Motivation The goal of the proposed workshop is to bring together researchers and practitioners interested in applying axiomatic analysis to all kinds of IR and IR-related problems, including particularly both those interested in developing retrieval models and those interested in developing evaluation measures, and to enable them to share their findings (both positive or negative), to present their latest research results, and to discuss future directions. Theme As the title of the workshop suggested, the general theme of the workshop will be about all aspects of applications of axiomatic thinking to solve IR and IR-related problems. The basis of this general theme is the recent growth of work on applying axiomatic thinking to analyze and improve both retrieval models and evaluation metrics, which we expect to continue. The existing work has clearly demonstrated many advantages of axiomatic thinking, including particularly specific theoretical results in the form of novel constraints to be satisfied by retrieval functions or evaluation metrics and improved models or evaluation metrics. However, much more research is still needed in multiple directions. Opportunities of applying axiomatic thinking also go beyond analyzing the basic retrieval functions; in fact, understanding constraints is also beneficial to many IR tasks that use machine learning techniques. Instead of having a designer carefully choose a set of assumptions to make when designing a formal model, these approaches use machine learning to weight items in a pool of features derived from many retrieval heuristics. However, this potentially results in a bloated backend which computes many features irrelevant to the task or collection. Having knowledge about relevant features would help slim down backends and speed learning and ranking. An important strength of the axiomatic methodology is that evaluation data sets become resources used to check motivated hypotheses instead of optimization mechanisms, which are at risk of overfitting. There are even more opportunities for new research on applying axiomatic thinking to evaluation as has already been happening where researchers have done axiomatic analysis of metrics for tasks such as text categorization, clustering, and ranking. In general, an understanding of how to apply axiomatic thinking to IR problems may become increasingly important as information retrieval continues to broaden into new areas. New tasks often require new constraints, and an understanding of these constraints can provide guidance on how to adapt existing methods or how to develop new methods for the new tasks. For example, domain-specific IR tasks such as medical record search might require new retrieval constraints that can capture the domain knowledge. The workshop aims to bring together researchers and practitioners from a broader community to exchange research ideas and results and to foster collaborations across subcommunities. Some of the specific topics we envision to be covered by the workshop theme include, but not limited to: - What constraints are effective to improve retrieval performance independent of the underlying model? - What constraints were expected to be useful but have not been effective in practice? Why not? - In the case of evaluation metrics, why some metric constraints do not affect the system comparison or the user satisfaction? - How can we potentially unify the axiomatic analysis of IR models and evaluation metrics given that both lines of work aim at formally modeling relevance? - Have new languages, media, or domains suggested new constraints for established domains? - To what extent is a valid constraint in one domain also valid in other domains? More generally, which constraints for retrieval methods or evaluation metrics are core ones, and which constraints are highly scenario dependent? - How can axiomatic thinking be combined with machine learning techniques to learn more effective retrieval functions? Planned Activities - Keynote talk - Panel - Presentations of papers Paper Submission We solicit papers describing research work related to the above theme. In addition to the innovative methods with promising results, we also welcome papers reporting negative results. Papers need to be: - 4 or 10 pages - In ACM format - Submission site: https://easychair.org/conferences/?conf=atir2017 Formal proofs can be added as additional material. The submissions are not anonymous. Important Dates - Submission deadlines: May 27 (for long paper) and June 3 (for short papers) - Review due: June 20 - Notification: June 30 Workshop Organizers - Enrique Amigo - Hui Fang - Stefano Mizzaro - ChengXiang Zhai -- Prof. Stefano Mizzaro, PhD Department of Mathematics, Computer Science, and Physics University of Udine Via delle Scienze, 206 - 33100 Udine, Italy mizzaro(a)uniud.it - http://www.dimi.uniud.it/mizzaro/ Ph.: +39 0432 558456 - Fax: +39 0432 558499

1 0

[simu-conf] UPCOMING DEADLINE - WinterSim 2017
by vsim-conf＠sce.carleton.ca 19 Apr '17

19 Apr '17

DEADLINE IN 10 DAYS - 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]

1 0

The Fifth China Computer Federation Conference on Big Data(CCF Big Data 2017) Call for Papers
by Calls＠DataSciences.org 19 Apr '17

19 Apr '17

Apologize if this circulation interrupts you. ===================================================== The Fifth China Computer Federation Conference on Big Data(CCF Big Data 2017) Call for Papers The China Computer Federation (CCF) Conference on Big Data (CCF Big Data) is a leading conference in the emerging area of big data in China. CCF Big Data provides a forum for researchers and industry practitioners to share their new ideas, original research results, and application experiences from big data. Four conferences of CCF Big Data have been successfully organized in Beijing, Hefei and Lanzhou since 2013. The fifth CCF conference on big data will be held on October 14-16, 2017 in Shenzhen, China. The conference will be jointly organized by CCF Task Force on Big Data (CCF TFBD) and Shenzhen University. Special features of the 2017 edition will be on multidisciplinary and interdisciplinary research on big data and internationalization. International leading experts, scholars, researchers and academicians in the field of big data will be invited to give keynote and invited talks. The conference will also hold parallel sessions for oral presentations of research papers and forums for academic exchanges, such as forums on special big data topics, and a forum for young scientists. The conference will set up a number of awards for the best academic paper, the best application paper and the best student paper. Important dates Paper submission due: June 30, 2017 Notification to authors: August 15, 2017 Camera-ready due: September 15, 2017 Conference: October 13-15, 2017 Topics and Scope The topics of relevance for the conference papers include but not limited to the following areas: Fundamental theories and methods of data science Future trends of data science and big data Big data system architecture and infrastructure Big data acquisition and pre-processing technology Big data storage and management models, technology and systems Big data parallel computing models, frameworks and systems Main stream open source big data system optimization and applications Big data analysis, mining, intelligent computing methods and systems High performance big data learning frameworks, algorithms and systems Big data visual analysis and computing Big data sharing and open data technology, methods and standards Big data privacy protection and security Big data system solutions, tools and platforms Big data industrial and government applications Organizing Committee Conference support organizations： Shenzhen Science and Technology Innovation Committee, Nanshan District government of Shenzhen Conference organizer： China Computer Federation (CCF) Conference hosting organizers： CCF Task Force on Big Data and Shenzhen University Conference co-organizers： Southern University of Science and Technology, Sun Yat-sen University Conference steering committee Guojie Li Institute of Computing, Chinese Academy of Sciences Philip Yu University of Illinois at Chicago Benjamin Wah The Chinese University of Hong Kong Hong Mei Beijing Institute of Technology Jianzhong Li Harbin Institute of Technology Xueqi Cheng Institute of Computing Chinese Academy of Sciences Enhong Chen University of Science and Technology China Bin Hu Lanzhou University Jianmin Wang Tsinghua University Yihua Huang Nanjing University Conference Committee Honorary Chairs: Guojie Li Insititute of Computing Technology, CAS Guoliang Chen Shenzhen University Conference Chairs： Hong Mei Beijing Institute of Technology Qingquan Li Shenzhen University Program chairs： Joshua Zhexue Huang Shenzhen Univeristy Longbing Cao University of Technology Sydney Depei Qian Sun Yat-sen University Kai Lu National University of Defense Technology Program vice-chairs: Zhihong Xia Southern University of Science and Technology Qingshang Liu Nanjing University of Information Science and Technology Li Yao Beijing Normal University Ming Yang Nanjing Normal University Rui Mao Shenzhen Univeristy Organization committee chairs：Laizhong Cui Shenzhen University Yunquan Zhang Institute of Computing, CAS Award Chairs： Xiaoyang Wang Fudan University International contact Chairs: Qing Li City University of Hong Kong Hui Xiong Rutgers University Publicity Chairs： Zhixin Ma Lanzhou University Zexuan Zhu Shenzhen University Qi Liu University of Science and Technology China Jing Yang Institute of Computing Technology, Chinese Academy of Sciences Publication Chairs： Yang Gao Nanjing University Li Wang Taiyuan University of Technology Dongqing Wei Shanghai Jiao Tong University Shaoliang Peng National University of Defense Technology Forum Chair: Enhong Chen University of Science and Technology China Industry Forum Chair: Liangjie Zhang Kingdee International Software Group Jianzong Wang Ping An Technology Excellent Youth Forum Chairs: Huawei Shen Institute of Computing Technology, Chinese Academy of Sciences Liang Wang Institute of Automation Chinese Academy of Sciences YuHua Qian Shanxi University Guansong Pang University of Technology Sydney Finance Chairs: Wenjing Lin Shenzhen University Juan Chen Institute of Computing Technology, Chinese Academy of Sciences Manuscript submission and format Conference official website： http://csse.szu.edu.cn/ccfbigdata2017/ Submission: https://easychair.org/conferences/?conf=ccfbigdata2017 Submission requirements： 1.Chinese paper submission requirements: A4 size, Word or PDF format; The manuscript should be written according to the requirements of Chinese Journal of Computers, Journal of Computer Research and Development. 2.English paper submission requirements: A4 size, Work or PDF format; The manuscript should be written according to the requirements of IEEE Transactions on Big Data or other similar journals. Paper publication 1. The authors can submit papers in Chinese or English. 2. Accepted Chinese papers will be recommended to Chinese Journal of Computers, Journal of Computer Research and Development, Chinese Journal of Electronics, Journal of Chinese Information Processing, Pattern Recognition and Artificial Intelligence, Journal of Data Acquisition and Processing, Journal of Tsinghua University, Jounral of Nanjing University, Journal of University of Science and Technology of China, Journal of University of Science and Technology of China, Journal of LanZhou University, Computer Science, Journal of Computer Applications, Computer Engineering and Science, Big Data Research.的 3. Accepted English papers will be recommended to IEEE Transactions on Big Data, International Journal of Data Science and Analytics, Interdisciplinary Sciences: Computational Life Science (SCI), International Journal of Computational Science and Engineering (EI), International Journal of Embedded Systems (EI) and International Journal of High Performance Computing and Networking (EI) for their consideration. Contact information Enquiries for paper submission： Guansong Pang Email：ccfbigdata2017(a)gmail.com Enquiries for conference organization： Laizhong Cui Email：ccfbigdata2017(a)szu.edu.cn Tel：0755-26906581-804

1 0

CfP: MATES 2017 - Extended deadline: May 7, 2017
by Berndt, Jan Ole, Dr.-Ing. 19 Apr '17

19 Apr '17

[Apologies if you receive this more than once] Please forward this CfP to anyone who might be interested. ####################################################################### == CALL FOR PAPERS == == == SUBMISSION DEADLINE EXTENDED: Sun, May 7, 2017 == == == MATES 2017 == 15th German Conference on Multiagent System Technologies == Wed-Sat, August 23 - 26, 2017 == Leipzig, Germany == == http://mates2017.uni-trier.de == == MATES is the second best CORE ranked agent technology conference worldwide. == == == Co-located with the 2017 IEEE/WIC/ACM International Conference on == Web Intelligence (WI 2017) == http://webintelligence2017.com/ == == *** CONFIRMED COMMON KEYNOTE SPEAKERS *** == Raj Reddy (Turing Award Winner 1994): The Ultimate Web Intelligence: == Computational Social Science == Amit Sheth: Semantic, Cognitive, and Perceptual Computing - three == intertwined strands of a golden braid of intelligent computing == Cristiano Castelfranchi: Cognition & Self-Organization in a Hybrid == Society & Coupled Reality: The role of AI == Frank Leymann: Loose Coupling and Architectural Implications == Matthias Klusch: Intelligent Agents and Semantic Technologies for == Industry 4.0: Showcases and Challenges ==================================================================== == Extended submission deadline regular papers: Sun, May 7, 2017 == at https://easychair.org/conferences/?conf=mates2017 ==================================================================== Aims and Scope ============== The MATES conference aims at the promotion of and the cross-fertilization between theory and application of intelligent agents and multiagent systems (MAS). It provides an interdisciplinary forum for researchers and members of business and industry to present and discuss latest advances in agent-based computing with prototyped or fielded systems in various application domains. MATES 2017 will offer a competitive set of special topical sessions, PhD mentoring track, invited keynotes by distinguished experts, and issues a Best Paper Award. The proceedings are published by Springer in its LNAI (Lecture Notes in Artificial Intelligence) subseries of the LNCS (Lecture Notes in Computer Science) series. Topics of Interest ================== MATES 2017 covers all areas of intelligent agents and multiagent system technologies. The topics of interest include, but are not limited to: - Multiagent platforms and tools - Agent communication languages - Validation and verification of (multi)agent technologies - Agent-oriented software engineering, model-driven design of MAS - Standards for agents and MAS - MAS: Conventions, norms, institutions, trust and reputation - Advanced theories of collaboration: Modelling and formation of agent teams, groups, coalitions, and organizations - Adaptive agents and multiagent learning - Agent-based simulation of complex systems and applications - Agent-based modeling and social simulation - Mobile agents - Autonomous robots and robot teams - Human-agent teamwork (Humans, software agents, robots, animals, animoids) - Embodied conversational actors and believable agents, and user modelling - Recommender agents - Agent-based planning and scheduling - Agent-based information retrieval - Agent-based distributed data mining - Agent-based service discovery, composition, negotiation - Agents for the semantic Web - Agents for the social Web - Agents for the Internet of Services - Agents for the Internet of Things, pervasive computing - Agents for cloud computing - Ethical aspects of (multi)agent systems design and deployment - Prototyped or fielded agent-based applications in various domains (e.g. e-business, e-health, e-government, automotive, smart city, smart grids, renewable energy). MATES PhD mentoring track ========================= The MATES PhD mentoring (doctoral consortium) is meant to support PhD students working in the area of web intelligence. It offers a platform to researchers in all stages of their PhD studies to present and discuss their ideas in a professional academic environment. The program provides an opportunity to PhD students to interact with their peers as well as with experienced researchers in the field, and to receive valuable feedback on their work and advice for their future careers. In particular, each student will be assigned a member of the WI doctoral consortium committee, who is an experienced researcher in the relevant field and will be available for personal interactions during the day of the MATES PhD mentoring track. More information is to be found on the MATES homepage. The main goals of the PhD mentoring session are - to give PhD researchers an opportunity to get feedback and suggestion on their work from experienced researchers and their peers. - to interact with other PhD researchers and to get an overview of the field of multi-agent systems. - to get advice for their (academic) career. - to provide networking opportunities. PhD-Paper Submission: ---------------------- Submissions to the PhD mentoring session (PhD short papers) should provide information on the following aspects of the PhD work: - Motivation - State of the Art - Methodical approach - Preliminary results/findings (optional - Affiliation and contact details of the PhD supervisor PhD papers can be up to 6 pages long, written in English and formatted according to the Springer LNCS style (see below). The selection process takes into account the quality of the submitted PhD short paper which will be peer-reviewed by members of the MATES PhD mentoring program committee. The PhD short papers must be submitted electronically via e-mail to Alexander Pokahr: pokahr(a)informatik.uni-hamburg.de Rene Schumann: rene.schumann(a)hevs.ch Presentation and Publication: ----------------------------- All accepted PhD short papers will be assigned a slot for oral presentation during the MATES PhD mentoring session. In addition, a selected set of these accepted papers describing original, unpublished work mature enough for publication will be included in the MATES proceedings. Invited Speakers ================ Together with Web Intelligence 2017 MATES 2017 provides keynotes from renowned experts on up-to-date topics: * Raj Reddy (Turing Award Winner 1994): The Ultimate Web Intelligence: Computational Social Science * Amit Sheth: Semantic, Cognitive, and Perceptual Computing - three intertwined strands of a golden braid of intelligent computing * Cristiano Castelfranchi: Cognition & Self-Organization in a Hybrid Society & Coupled Reality: The role of AI * Frank Leymann: Loose Coupling and Architectural Implications * Matthias Klusch: Intelligent Agents and Semantic Technologies for Industry 4.0: Showcases and Challenges Regular Paper Submission and Publication ================================ The MATES proceedings are published by Springer as a volume of the LNAI (Lecture Notes in Artificial Intelligence) subseries of the LNCS (Lecture Notes in Computer Science) series. http://www.springer.com/gp/computer-science/lncs/conference-proceedings-gui… Submitted papers, which have to be in English, must not exceed 16 pages (full) or 8 pages (short) in Springer LNCS style, PDF. Over-length submissions will be rejected without review. Submissions are expected to report on novel research that makes a substantial technical contribution to the field. In particular, submitted research must be unpublished and not under review in any other conference or journal. Please submit your contribution using EasyChair via the following link and follow the submission guidelines on the conference website. https://easychair.org/conferences/?conf=mates2017 For an accepted paper to be published in the proceedings, at least one of the authors will be required to register for the conference. Important Dates =============== Deadline for Submission: Sun, May 7, 2017 (Regular Papers, EXTENDED) Deadline for Submission: Sun, May 14, 2017 (PhD-Track Papers) Notification of Authors: Fri, June 2, 2017 Camera-Ready Papers: Sun, June 18, 2017 Conference: Wed-Sat, August 23-26, 2017 Conference Organisation ======================= General Chairs: Jan Ole Berndt (Trier University, Germany) Paolo Petta (OFAI and University of Vienna, Austria) Rainer Unland (University of Duisburg-Essen, Germany) Honorary Chairs: Ana L. C. Bazzan (Federal University of Rio Grande do Sul, Brazil) Maria L. Gini (University of Minnesota, USA) Andrea Omicini (University of Bologna, Italy) Doctoral Consortium Chairs: Alexander Pokahr (University of Hamburg, Germany) Rene´ Schumann (HES-SO Valais-Wallis, Switzerland) Program Committee: Karl Aberer (EPF Lausanne, Switzerland) Thomas Agotnes (University of Bergen, Norway) Sebastian Ahrndt (DAI Lab, Berlin University of Technology, Germany) Matteo Baldoni (University of Turin, Italy) Bernhard Bauer (University of Augsburg, Germany) Federico Bergenti (University of Parma, Italy) Olivier Boissier (ENSM de Saint-Etienne, France) Vicent Botti (Polytechnical University of Valencia, Spain) Cristiano Castelfranchi (National Research Council, Italy) Liana Cipcigan (Cardiff University, UK) Massimo Cossentino (National Research Council, Italy) Paul Davidsson (University of Malmoe, Sweden) Joerg Denzinger (University of Calgary, Canada) Frank Dignum (University of Utrecht, The Netherlands) Virginia Dignum (Delft University of Technology, The Netherlands) Juergen Dix (Clausthal University of Technology, Germany) Johannes Faehndrich (DAI Lab, Berlin University of Technology, Germany) Klaus Fischer (DFKI, Germany) Giancarlo Fortino (University of Calabria, Italy) Maria Ganzha (University of Gdansk, Poland) Paolo Giorgini (University of Trento, Italy) Vladimir Gorodetsky (Russian Academy of Sciences, Russia) Axel Hahn (Carl-von-Ossietzky University of Oldenburg, Germany) Koen Hindriks (Delft University of Technology, The Netherlands) Stamatis Karnouskos (SAP, Germany) Takahiro Kawamura (Japan Science and Technology Agency, Japan) Wolfgang Ketter (Rotterdam School of Management, The Netherlands) Yasuhiko Kitamura (Kwansei Gakuin University, Japan) Franziska Kluegl (University of Oerebro, Sweden) Matthias Klusch (DFKI, Germany) Ryszard Kowalczyk (Swinburn University of Technology, Australia) Winfried Lamersdorf (University of Hamburg, Germany) Jiming Liu (Hong Kong Baptist University, China) Arndt Lueder (Otto-von-Guericke-University Magdeburg, Germany) John-Jules Meyer (University of Utrecht, The Netherlands) Lars Moench (Fernuniversitaet Hagen, Germany) Joerg P. Mueller (Clausthal University of Technology, Germany) Ingrid Nunes (Federal University of Rio Grande do Sul, Brazil) Eugenio Oliveira (University of Porto, Portugal) Nir Oren (University of Aberdeen, UK) Sascha Ossowski (University Rey Juan Carlos, Spain) Peter Palensky (Delft University of Technology, The Netherlands) Marcin Paprzycki (IBS PAN and WSM, Poland) Terry Payne (University of Liverpool, UK) Alessandro Ricci (University of Bologna, Italy) Jordi Sabater Mir (IIIA-CSIC, Spain) David Sarne (Bar Ilan University, Israel) David Sislak (Czech Technical University in Prague, Czech Republic) Michael Sonnenschein (Carl-von-Ossietzky University Oldenburg, Germany) Andreas Symeonidis (Aristotle University of Thessaloniki, Greece) Huaglory Tianfield (Glasgow Caledonian University, UK) Ingo J. Timm (Trier University, Germany) Adelinde Uhrmacher (University of Rostock, Germany) Giuseppe Vizzari (University of Milano-Bicocca, Italy) George Vouros (University of Piraeus, Greece) Georg Weichhart (PROFACTOR GmbH, Austria) Gerhard Weiss (University of Maastricht, The Netherlands) Michael Weyrich (University of Stuttgart, Germany) Michael Winikoff (University of Otago, New Zealand) Franco Zambonelli (University of Modena and Reggio Emilia, Italy) Ingo Zinnikus (DFKI, Germany) Ning Zhong (Maebashi Institute of Technology, Japan) MATES Steering Committee ======================== Matthias Klusch (DFKI, Germany) Winfried Lamersdorf (University of Hamburg, Germany) Jörg P. Müller (Clausthal University of Technology, Germany) Sascha Ossowski (University Rey Juan Carlos, Spain) Paolo Petta (OFAI and University of Vienna, Austria) Ingo J. Timm (Trier University, Germany) Rainer Unland (University of Duisburg-Essen, Germany) For more information on the MATES conference series,please visit: http://www.dfki.de/~klusch/mates-series =========================================================================

1 0

New Book Release: Understanding Smart Cities (Springer)
by Dr. Leonidas Anthopoulos 19 Apr '17

19 Apr '17

(Apologies for cross-posts) ----------------------------- Dear Colleague, The new book that I authored has been released and attempts to provide with a clear and full understanding the smart city: Understanding Smart Cities - A tool for Smart Government or an Industrial Trick? Public Administration and Information Technology, Vol. 22, Springer Science+Business Media New York, ISBN: 978-3-319-57014-3 (Print) 978-3-319-57015-0 (Online) (https://link.springer.com/book/10.1007%2F978-3-319-57015-0) It contains the historical evolution and the cutting edge information for smart city, research and empirical evidence from 13 smart city cases (Trikala, Tampere, Geneva, Seoul, New Songdo, Vienna, London, Washington DC, New York City, Hong Kong, Melbourne, Dubai and Kyoto) and findings with regard to smart city and smart government. Is a valuable material, which was missing from the literature. After reading this book, the reader will succeed in gaining answers for the following questions: . What is a smart city? Does it concern urban innovation or something more complicated? . What is the smart city in practice? What technological artefacts are synthesized and in which manner they collaborate in order to succeed in the owner's mission? . How is the smart city market structured and does it concern an industrial trick that leads government towards its development? . How the smart city -and its development- are governed and what is the role of government in a smart city? . What is the smart government and how is it related with the smart city? This book contains five (5) chapters beyond the introduction. Chapter 2 explores the smart city theory (terminology and context), it defines several city coalitions and organizations, it classifies cities according to their approach and presents an architecture framework with several alternative views to support smart city understanding. Then, chapter 3 explores the smart city practice in terms of applied technology, services, standards and exemplars. Chapter 4 analyzes the business terms of a smart city, via the presentation of the alternative types of business that structure the smart city market, while it determines the underlying smart city value and it compares corresponding business models. Finally, it questions the potential "smart city hoax" and differentiates city branding from marketing. Then, chapter 5 utilizes the project and the innovation management perspectives to demonstrate how a smart city can be developed from scratch. It shows how to measure the existing potential of a city that can be compared with the available technological and smart service choices and define the development roadmap for the smart city owner. Finally, chapter 6 differentiates smart city from smart government. It provides the term with definition and a unified conceptual framework, which clarifies the context and the potential of smart government, together with its interrelation with the smart city. In brief: Smart cities have emerged radically since their initial appearance in literature in 1997 and they have attracted a significant scientific and industrial attention since then. The primary smart city exemplars were able to visualize local information -like a portal from local sources- or even to simulate the city's landscape -like an online map-. These initial attempts were followed by knowledge bases and networks of people, where common knowledge was shared among the participants and they mainly concerned local issues (e.g., employment for post-industrial areas). All these exemplars were based on the Internet and no extra facility was required, when cities started exploring cutting-edge infrastructure to upgrade local information performance. In this respect, broadband and later ultra-fast networks -wired and wireless- started being deployed in the city and the urban space enhanced its ability to deliver several types of smart services. Moreover, this infrastructure enabled cities to deal with several local issues -e.g., environmental downgrading from human facilities, transportation, aging etc.-, like waste management, intelligent transportation, and tele-care service provision accordingly etc. This urban upgrade with the use of technology started appearing in late 1990s and early 2000s and it was a critical milestone for the industrial engagement, which saw extensive opportunities to grow and develop several products that range from construction (e.g., sustainable buildings); to electronics (e.g., sensors for measuring internal and environmental performance, smart lighting etc.); to engineering (e.g., transportation); to software engineering (e.g., smart service deployment); and even to new entrepreneurship (e.g., in data and green economy). This event was not accidental, since urbanization had started becoming a reality and international reports show a significant rise of cities by 2050, a shift that changes dramatically the role of city and of local government: a city has to host an extensive community (like megacities do today); and the government has to serve this community with a decreasing amount of resources and to deal with significant challenges (e.g., poverty, climate change and city competition etc.). Such a potential demands a close collaboration between local governments and the industry, while the role of the triple helix (government, university and the industry) appears to be important. In this respect, several scholars and practitioners suggest alternatives for such a collaboration and smart city exemplars chose among them (e.g., Vienna has a strong collaboration with local stakeholders; New Songdo was the outcome of a project coalition; Masdar and other smart districts are the product of a Public-Private-Partnership (PPP) etc.). However, the same partnership rises criticism with regard to the open innovation character that the smart city used to have, as well as whether the smart city is really a requirement for governments or it is the outcome of marketing that obliges this collaboration. Regardless the justification of this criticism, smart city is a fact and more and more cities either self-claim to be smart or undertake efforts to enter this era, and a significant number of city coalitions and organizations have been formed to handle this interest. Additionally, the size of the smart city industry increases steadily and it is estimated to exceed the amount of U.S. $1trillion by 2025, which justifies the private sector's interest to develop new products and gain a share of this market. On the other hand, almost all standardization bodies struggle to develop standards to normalize and homogenize the developed solutions. This reality comes in contrast to the ambiguous meaning of the terminology that deals with smart city (e.g., the smart city itself, smart government and smart governance etc.) and to the real concept and purpose of smart city (e.g., does it concern a today or a tomorrow city with futuristic features -like flying cars-?). Additionally, the role of government in smart city development is still questioned, since its "marriage" with the private sector might alter the vision or diverge the mission of government to deal with the local challenges and instead to prioritize according to market's willing (technology push). In this regard, this book has multiple objectives. First, the aim of this book is to clarify the smart city context and the role of government in smart city. This book comes from the observation that the terms smart city and smart governance are interconnected and they appear together but it is not clear how and why. Second, this book aims to become a guide for governments, researchers and practitioners to conceptualize and understand what the smart city is -according to both literature and practice-, what are the components that synthesize a smart city and what technological artefacts can be used to serve the smart city mission. Third, it aims to provide the readers with tools that can help them conceptualize, measure the potential, manage the development and evaluate the outcome of a smart city project. Fourth, it aims to serve as a didactic material for students that enter the smart city domain and in this respect, each chapter has specific learning outcomes and a pool of questions to support learning. As such, several outcomes from ongoing studies, an extensive scientific material (articles, books and reports), inputs from experts, personal experiences and city examples are utilized to serve the above quadruple mission. The development of this book focused on the smart city owner perspective (the one who develops and owns the smart city outcome) and it was based on a multi-methods approach, which combines literature reviews and reports' and standards' analysis; narrative walks and tests in cities; interviews with smart city representatives; panels of experts; questionnaires etc. Moreover, several articles were published during the development of this book that are mentioned in acknowledgements, since each chapter generated important research questions that had to be answered. Finally, two research projects contributed partially the development of this book, which are also mentioned in the acknowledgements. -- Dr. Leonidas Anthopoulos Associate Professor Business School University of Applied Science (TEI) of Thessaly -------------------------------------------------- TEI of Thessaly, 411 10 Larissa, Greece tel/fax: +30 2410 684570 e-mail:lanthopo@teilar.gr URL:http://de.teilar.gr/story/en-US/108/ANTHOPOULOS_Leonidas_Associate_Profe ssor.html LinkedIn profile: https://linkedin.com/in/leonidasanthopoulos ---------------------------------------------------- Associate Editor, International Journal of Public Administration in the Digital Age (IJPADA), IGI-GLOBAL

1 0

ICTH 2017 CFP: The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (Lund, Sweden)
by Björn A Johnsson 19 Apr '17

19 Apr '17

CALL FOR PAPERS The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2017) Lund, Sweden, September 18-20, 2017 Conference Website: http://cs-conferences.acadiau.ca/icth-17/ <http://cs-conferences.acadiau.ca/icth-17/> Important Dates: Workshop Proposals: March 31, 2017 Paper Submission Due: May 1, 2017 Author Notification: June 21, 2017 Final Manuscript Due: July 21, 2017 ICTH is a premier venue for bringing together multi-disciplinary researchers, professionals and practitioners from academia and healthcare who are engaged in different facets of ICT and healthcare. The conference encourages innovative research contributions providing the recent significant developments and promising future trends of ICT based applications, systems, tools, environments and infrastructures in the fields of health/medical care, and related domains, such as public health and pharmaceuticals. Papers on either completed or ongoing research are invited in the following and related topics of interests. Lund University is a strong influence on Lund city, and several university buildings are located in the heart of the city. The combination of businesses, students and researchers from around the world has given birth to Lund's unique character as a city of strong research-based global industries. The Malmö region, including Lund, is the 4th most inventive region in the world. Sweden’s first and most successful research park, Ideon, is situated in Lund, and the country’s two largest research ventures, MAX IV Laboratory and the European Spallation Source (ESS) are located here. The students at Lund University comprise a large part of the population of the city and consequently have a significant impact on it and contribute to the youthful, laid-back atmosphere. The young population influences all aspects of life in Lund, from the daily rhythm of the city, to city planning, pubs and bars, museums and countless cultural and leisure activities. The combination of old traditions and history together with the bustling student life makes Lund a great place to live and study! Accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series (on-line). Procedia Computer Science is hosted by Elsevier on www.Elsevier.com <http://www.elsevier.com/> and on Elsevier content platform ScienceDirect (www.sciencedirect.com <http://www.sciencedirect.com/>), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com <http://www.scopus.com/>) and by Thomson Reuters' Conference Proceeding Citation Index (http://thomsonreuters.com/conference-proceedings-citation-index/ <http://thomsonreuters.com/conference-proceedings-citation-index/>). All papers in Procedia will also be indexed by Scopus (www.scopus.com <http://www.scopus.com/>) and Engineering Village (Ei) (www.engineeringvillage.com <http://www.engineeringvillage.com/>). This includes EI Compendex (www.ei.org/compendex <http://www.ei.org/compendex>). Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/ <http://dblp.uni-trier.de/>). The papers will contain linked references, XML versions and citable DOI numbers. Selected papers will be invited for publication, in the special issues of: International Journal of Ambient Intelligence and Humanized Computing, by Springer (http://www.springer.com/engineering/journal/12652 <http://www.springer.com/engineering/journal/12652>) International Journal of Distributed Systems and Technologies, by IGI Global: (http://www.igi-global.com/journal/international-journal-distributed-systems… <http://www.igi-global.com/journal/international-journal-distributed-systems…>) International Journal of E-Health and Medical Communications, by IGI Global: (http://www.igi-global.com/journal/international-journal-health-medical-comm… <http://www.igi-global.com/journal/international-journal-health-medical-comm…>) ICTH-2017 will be held in conjunction with the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN: http://cs-conferences.acadiau.ca/euspn-17/ <http://cs-conferences.acadiau.ca/euspn-17/>). We invite submissions on either completed or ongoing work. Submitted papers must be no longer than 8 pages for full papers, 5 pages for short papers and 4 pages for work in progress, including all figures, tables and references. We encourage students to submit short papers or works in progress, and welcome proposals on workshops in areas of special interest to participants. Topics of interest include, but are not limited to: Ambient Assisted Living for Elderly Care Ambient Intelligence and Intelligent Service Systems Analysis and Evaluation of Healthcare Systems Clinical Data and Knowledge Management Cloud Computing for Healthcare Collaboration Technologies for Healthcare Context-aware Applications for Patient Monitoring and Care Data mining Techniques and Data Warehouses in Healthcare Data Visualization Decision Support Systems in Healthcare Design and Development Methodologies for Healthcare Systems Diagnostic and Therapeutic Technologies in Healthcare Digital Hospitals Drug Information Systems E-health & m-health Electronic Health Records (EHR) & Personal Health Records (PHR) Evidence Based Medicine (EBM) Healthgrids Health Portals Information and Knowledge Processing in Healthcare Environments Middleware Support for Smart Homes and Intelligent Applications Quantified Self for Pervasive Healthcare Privacy, Confidentiality and Security Issues in Healthcare Systems Related Real World Experimentations and Case Studies in Healthcare RFID Solutions for Healthcare Smart Homes and Home Care Intelligent Environments Telemedicine and Health Telematics Ubiquitous and Pervasive Computing in Healthcare Usability & Socio Technical studies User Interface Design for Healthcare Applications Virtual and Augmented Reality in Healthcare Virtual Environments for Healthcare Committees General Chair Heiko Gewald, The Neu-Ulm University of Applied, Germany Joel J. P. C. Rodrigues, National Institute of Telecommunications (Inatel), Brazil Program Chairs Stephane Galland, Université de Technologie de Belfort-Montbéliard, France Haroon Malik, Marshall University, USA Workshops Chairs Philipp Brune, The Neu-Ulm University of Applied, Germany Wael M. El-Medany, University of Bahrain, Bahrain Publicity Chairs Wim Ectors, IMOB, Hasselt University, Belgium Björn A Johnsson, Lund University, Sweden Advisory Committee Sergio Camorlinga, Head eHealth Research, TRLabs, Canada Kevin Daimi, University of Detroit Mercy, USA Finn Kensing, University of Copenhagen, Denmark Francesco Princiroli, Politecnico di Milano, Italy Abdul Roudsari, University of Victoria, Canada Björn A. Johnsson Doctoral student Dept. of Computer Science, Lund University Ole Römers väg 3, SE-223 63 Lund +46 46 222 96 42 cs.lth.se/bjorn_a_johnsson <http://cs.lth.se/bjorn_a_johnsson>

1 0

CfP - VHPC at ISC extension - Papers due May 2
by Michael Alexander 18 Apr '17

18 Apr '17

==================================================================== CALL FOR PAPERS 12th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '17) held in conjunction with the International Supercomputing Conference - High Performance, June 18-22, 2017, Frankfurt, Germany. (Springer LNCS Proceedings) ==================================================================== Date: June 22, 2017 Workshop URL: http://vhpc.org Paper Submission Deadline: May 2, 2017 (extended), Springer LNCS, rolling abstract submission Abstract/Paper Submission Link: https://edas.info/newPaper.php?c=23179 Keynotes: Satoshi Matsuoka, Professor of Computer Science, Tokyo Institute of Technology and John Goodacre, Professor in Computer Architectures University of Manchester, Director of Technology and Systems ARM Ltd. Research Group and Chief Scientific Officer Kaleao Ltd. Call for Papers Virtualization technologies constitute a key enabling factor for flexible resource management in modern data centers, and particularly in cloud environments. Cloud providers need to manage complex infrastructures in a seamless fashion to support the highly dynamic and heterogeneous workloads and hosted applications customers deploy. Similarly, HPC environments have been increasingly adopting techniques that enable flexible management of vast computing and networking resources, close to marginal provisioning cost, which is unprecedented in the history of scientific and commercial computing. Various virtualization technologies contribute to the overall picture in different ways: machine virtualization, with its capability to enable consolidation of multiple underutilized servers with heterogeneous software and operating systems (OSes), and its capability to live-migrate a fully operating virtual machine (VM) with a very short downtime, enables novel and dynamic ways to manage physical servers; OS-level virtualization (i.e., containerization), with its capability to isolate multiple user-space environments and to allow for their coexistence within the same OS kernel, promises to provide many of the advantages of machine virtualization with high levels of responsiveness and performance; I/O Virtualization allows physical NICs/HBAs to take traffic from multiple VMs or containers; network virtualization, with its capability to create logical network overlays that are independent of the underlying physical topology and IP addressing, provides the fundamental ground on top of which evolved network services can be realized with an unprecedented level of dynamicity and flexibility; the increasingly adopted paradigm of Software-Defined Networking (SDN) promises to extend this flexibility to the control and data planes of network paths. Publication Accepted papers will be published in a Springer LNCS proceedings volume. Topics of Interest The VHPC program committee solicits original, high-quality submissions related to virtualization across the entire software stack with a special focus on the intersection of HPC and the cloud. Major Topics - Virtualization in supercomputing environments, HPC clusters, HPC in the cloud and grids - OS-level virtualization and containers (Docker, rkt, Singularity, Shifter, i.a.) - Lightweight/specialized operating systems, unikernels - Optimizations of virtual machine monitor platforms and hypervisors - Hypervisor support for heterogenous resources (GPUs, co-processors, FPGAs, etc.) - Virtualization support for emerging memory technologies - Virtualization in enterprise HPC and microvisors - Software defined networks and network virtualization - Management, deployment of virtualized environments and orchestration (Kubernetes i.a.), - Workflow-pipeline container-based composability - Performance measurement, modelling and monitoring of virtualized/cloud workloads - Virtualization in data intensive computing and Big Data processing - HPC convergence - Adaptation of HPC technologies in the cloud (high performance networks, RDMA, etc.) - ARM-based hypervisors, ARM virtualization extensions - I/O virtualization and cloud based storage systems - GPU, FPGA and many-core accelerator virtualization - Job scheduling/control/policy and container placement in virtualized environments - Cloud reliability, fault-tolerance and high-availability - QoS and SLA in virtualized environments - IaaS platforms, cloud frameworks and APIs - Large-scale virtualization in domains such as finance and government - Energy-efficient and power-aware virtualization - Container security - Configuration management tools for containers (including CFEngine, Puppet, i.a.) - Emerging topics including multi-kernel approaches and,NUMA in hypervisors The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) aims to bring together researchers and industrial practitioners facing the challenges posed by virtualization in order to foster discussion, collaboration, mutual exchange of knowledge and experience, enabling research to ultimately provide novel solutions for virtualized computing systems of tomorrow. The workshop will be one day in length, composed of 20 min paper presentations, each followed by 10 min discussion sections, plus lightning talks that are limited to 5 minutes. Presentations may be accompanied by interactive demonstrations. Important Dates Rolling Abstract Submission May 2, 2017 - Paper submission deadline (extended) May 30, 2017 - Acceptance notification June 22, 2017 - Workshop Day July 18, 2017 - Camera-ready version due Chair Michael Alexander (chair), scaledinfra technologies, Austria Anastassios Nanos (co-chair), NTUA, Greece Balazs Gerofi (co-chair), RIKEN Advanced Institute for Computational Science, Japan Program committee Stergios Anastasiadis, University of Ioannina, Greece Jakob Blomer, CERN, Europe Ron Brightwell, Sandia National Laboratories, USA Eduardo César, Universidad Autonoma de Barcelona, Spain Julian Chesterfield, OnApp, UK Stephen Crago, USC ISI, USA Christoffer Dall, Columbia University, USA Patrick Dreher, MIT, USA Robert Futrick, Cycle Computing, USA Maria Girone, CERN, Europe Kyle Hale, Northwestern University, USA Romeo Kinzler, IBM, Switzerland Brian Kocoloski, University of Pittsburgh, USA Nectarios Koziris, National Technical University of Athens, Greece John Lange, University of Pittsburgh, USA Che-Rung Lee, National Tsing Hua University, Taiwan Giuseppe Lettieri, University of Pisa, Italy Qing Liu, Oak Ridge National Laboratory, USA Nikos Parlavantzas, IRISA, France Kevin Pedretti, Sandia National Laboratories, USA Amer Qouneh, University of Florida, USA Carlos Reaño, Technical University of Valencia, Spain Thomas Ryd, CFEngine, Norway Na Zhang, VMWare, USA Borja Sotomayor, University of Chicago, USA Craig Stewart, Indiana University, USA Anata Tiwari, San Diego Supercomputer Center, USA Kurt Tutschku, Blekinge Institute of Technology, Sweden Yasuhiro Watashiba, Osaka University, Japan Nicholas Wright, Lawrence Berkeley National Laboratory, USA Chao-Tung Yang, Tunghai University, Taiwan Paper Submission-Publication Papers submitted to the workshop will be reviewed by at least two members of the program committee and external reviewers. Submissions should include abstract, key words, the e-mail address of the corresponding author, and must not exceed 10 pages, including tables and figures at a main font size no smaller than 11 point. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted papers will be published in a Springer LNCS volume. . The format must be according to the Springer LNCS Style. Initial submissions are in PDF; authors of accepted papers will be requested to provide source files. Format Guidelines: ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip Abstract, Paper Submission Link: https://edas.info/newPaper.php?c=23179 Lightning Talks Lightning Talks are non-paper track, synoptical in nature and are strictly limited to 5 minutes. They can be used to gain early feedback on ongoing research, for demonstrations, to present research results, early research ideas, perspectives and positions of interest to the community. Submit abstract via the main submission link. General Information The workshop is one day in length and will be held in conjunction with the International Supercomputing Conference - High Performance (ISC) 2017, June 18-22, Frankfurt, Germany.

1 0

[Brain Informatics 2017] - Call for Papers - Deadline Extension: May 1
by Yang 18 Apr '17

18 Apr '17

[Apologies if you receive this more than once] CALL FOR PAPERS The 2017 International Conference on Brain Informatics (BI'17) THE 10TH ANNIVERSARY OF BRAIN INFORMATICS November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------------------------------------------------- [EXTENDED!!] FULL PAPER SUBMISSION DEADLINE: May 1, 2017 --------------------------------------------------------------------------------- *** KEYNOTE SPEAKERS *** Alan Evans (McGill University, Canada) Tom Mitchell (Carnegie Mellon University, US) Yanchao Bi (Beijing Normal University, China) Adam Ferguson (University of California San Francisco, US) Bin Hu (Lanzhou University, China) Michael Hawrylycz (Allen Institute for Brain Science, US) Dinggang Shen (University of North Carolina at Chapel Hill, US) ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES (Extended): =========================== May 1, 2017: Submission deadline for full papers May 20, 2017: Submission deadline for workshop/special-session papers June 10, 2017: Notification of full paper acceptance June 20, 2017: Notification of workshop/special-session paper acceptance June 20, 2017: Submission deadline for abstracts July 10, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions; Submission Deadline: May 1, 2017): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions; Submission Deadline: June 20, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted papers from the conference, including their Best Paper Award papers, will be expanded and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang(a)ia.ac.cn shouyiw(a)uta.edu yang(a)maebashi-it.org

1 0

IEEE CloudCom 2017 (submissions due 30 June 2017)
by Hacker, Thomas J 17 Apr '17

17 Apr '17

IEEE CloudCom 2017 9th IEEE International Conference on Cloud Computing Technology and Science Hong Kong, 11 - 14 December 2017 http://2017.cloudcom.org/ Important Dates Full paper submission: 30 June 2017 Notification of acceptance: 7 September 2017 Call for Papers The "Cloud" is a natural evolution of distributed computing and of the widespread adaption of virtualization and Service-Oriented Architectures (SOA). In Cloud Computing, IT-related capabilities and resources are provided as services, via the Internet and on-demand, accessible without requiring detailed knowledge of the underlying technology. The IEEE International Conference on Cloud Computing Technology & Science 2017 (CloudCom 2017) will be the 9th in the series of conferences, steered by the Cloud Computing Association, that brings together researchers, developers and users interested in cloud computing systems to present and discuss the needs of, and innovations in, the area and related technologies. Topics of interest of CloudCom 2017 include, but are not limited to: Architecture and Virtualization Cloud Services and Applications IoT and Mobile on Cloud Big Data High Performance Computing in/with the Cloud Security and Privacy Distributed Cloud / Cloud Brokering / Edge and Fog Computing Track details are listed below. Track 1: Architecture and Virtualization Intercloud architecture models Cloud services delivery models, campus integration & "last mile" issues Networking technologies Programming models & systems/tools Cloud system design with FPGAs, GPUs, APUs Storage & file systems Scalability & performance Resource provisioning, monitoring, management & maintenance Operational, economic & business models Green data centers Computational resources, storage & network virtualization Resource monitoring Virtual desktops Resilience, fault tolerance, disaster recovery Modeling & performance evaluation Disaster recovery Energy efficiency Track 2: Cloud Services and Applications Cloud services models & frameworks Cloud services reference models & standardization Cloud-powered services design Business processes, compliance & certification Data management applications & services Application workflows & scheduling Application benchmarks & use cases Cloud-based services & protocols Fault-tolerance & availability of cloud services and applications Application development and debugging tools Business models & economics of cloud services Self-optimizing, self-protecting and self-configuring cloud systems Track 3: IoT and Mobile on Cloud IoT cloud architectures & models Cloud-based dynamic composition of IoT Cloud-based context-aware IoT Mobile cloud architectures & models Green mobile cloud computing Resource management in mobile cloud environments Cloud support for mobility-aware networking protocols Multimedia applications in mobile cloud environments Cloud-based mobile networks and applications Track 4: Big Data Machine learning Data mining Approximate & scalable statistical methods Graph algorithms Querying & search Data lifecycle management Frameworks, tools & their composition Dataflow management & scheduling Track 5: High Performance Computing in/with the Cloud Load balancing Middleware solutions Scalable scheduling HPC as a Service Programming models Use cases & experience reports Cloud deployment systems TCO analysis Cloud vs HPC Track 6: Security and Privacy Accountability & audit Authentication & authorization Cloud integrity Cryptography for & in the cloud Hypervisor security Identity management & security as a service Prevention of data loss or leakage Secure, interoperable identity management Trust & credential management Trusted computing Usable security Track 7: Distributed Cloud / Cloud Brokering / Edge and Fog Computing Distributed Cloud Infrastructure Cloud federation & hybrid cloud infrastructure Utility Computing (UC) Cloud Brokering Problem Edge Computing infrastructure Cloudlets Fog Computing Systems ** Submission Guidelines Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Authors must submit their papers by the deadline indicated below, using the EasyChair submission system (https://easychair.org/conferences/?conf=cloudcom2017). Only PDF files will be accepted. Manuscripts need to be prepared according to the IEEE CS format. All regular paper submissions should be written in English with a maximum paper length of 8 pages. All submitted papers will be reviewed by at least three experts (expected acceptance rate: ~18%). Accepted papers must be presented at the conference. At least one author of each accepted paper must register to the conference, by the early date indicated by the organizers, and present the paper. The conference proceedings of CloudCom 2017 will be published by IEEE CS Press (IEEE Xplore) and indexed by EI and ISSN. Distinguished papers will be invited to be included within a number of special issues in prestigious international journals. Important Dates Full paper submission: 30 June 2017 Notification of acceptance: 7 September 2017 Final paper submission: 22 September 2017 Author registration deadline: 22 September 2017

1 0

Jump to page:

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

computational.science