September 2013 - ogsa-wg

Call for Demo and Poster - BDSE2013 (Big Data Science and Engineering), 3-5 Dec. 2013, Sydney, Australia
by Chang Liu 08 Sep '13

08 Sep '13

As enquired by some authors, the Call for Poster and Demo for BDSE2013 is now ready. Call for Poster and Demo: The 2nd IEEE International Conference on Big Data Science and Engineering (BDSE2013), 3-5 December 2013, Sydney, Australia. Website: http://www.swinflow.org/confs/bdds2013/demo.htm Important Dates: Deadline for proceedings published posters/demos with display at conference: 30 September 2013 Notification of Acceptance: 2 October 2013 Final versions of proceeding published posters/demos: 15 October 2013 Deadline for web published posters/demos with display at conference: 30 October 2013 Submissions: Please email your posters/demos to confs.aus(a)gmail.com with the email subject as "BDSE2013 demo-poster submission". Two types of posters and demos are welcome. Both of them will be displayed during the conference. 1. Proceedings published posters and demos: Submission is a 2-page short paper describing the post/demo content, research, relevance and importance to Big Data Science and Engineering community. If accepted, the 2-page short paper will be published in the main conference proceedings. 2. Web published posters and demos: Submission is a 1-page extended abstract. Such posters/demos will not be included in the conference proceedings, but will be published on the conference website. --------------- Participants are invited to submit posters and research demos to BDSE2013. BDSE2013 (Big Data Science and Engineering) is created to provide a prime international forum for both researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state of the art and practice of Big Data as well as joint-venture and synergic research and development across various related areas. Topics of interest for posters and demos include, but not limited to: · Big Data theory, applications and challenges · Recent development in Big Data and MapReduce · Big Data mining and analytics · Big Data Infrastructure and Cloud Computing · Big Data visualization · Large data stream processing on cloud · Large incremental datasets on cloud · Distributed and federated datasets · NoSQL data stores and DB scalability · Big Data sharing and privacy preserving · Security, trust and risk in Big Data · Big Data placement, scheduling, and optimization · Extension of the MapReduce programming model · Distributed file systems for Big Data · MapReduce for Big Data processing, resource scheduling and SLA · MapReduce on heterogeneous distributed environments · Performance characterization, evaluation and optimization · Simulation and debugging of MapReduce and Big Data systems and tools · Volume, Velocity, Variety, Value and Veracity of Big Data · Multiple source data processing and integration with MapReduce · Storage and computation management of Big Data · Large-scale scientific workflow in support of Big Data processing · Algorithms and theory for distributed systems · Data management and distributed data systems · Security, privacy, fault tolerance and reliability in distributed systems · Distributed ad hoc, ubiquitous and pervasive systems · Mobile systems and development for handheld devices such as mobile phones · Distributed system architectures and software such as runtime systems, multicore programming languages, performance modelling and evaluation, programming environments and tools, and etc. · Distributed computing applications such as management of big data, scientific applications, social media applications, web applications and mobile computing Chairs: Xuyun Zhang, University of Technology Sydney, Australia Chang Liu, University of Technology Sydney, Australia

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Final Call for Papers : Autonomic Clouds 2013, Dresden, Germany- Deadline September 10, 2013
by Ashiq Anjum 04 Sep '13

04 Sep '13

The 3rd International Workshop on Intelligent Techniques and Architectures for Autonomic Clouds (ITAAC 2013) http://www.derby.ac.uk/computing/itaac2013 In association with The 6th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2013), December 9-12, 2013, Dresden, Germany Call for Papers Autonomic computing refers to principles and techniques for designing, building, deploying and managing computing systems with minimal human involvement. An autonomic system should be capable of adapting its behaviour to suit its context of use through methods of self-management, self-tuning, self-configuration, self-diagnosis, and self-healing. Autonomic approaches are particularly suitable for use in Cloud Computing systems, where rapid scalability is required across a pool of resources to support various unpredictable demands, and where the system should automatically adapt to avoid failures in the underlying hardware impacting on the user experience. Autonomic Clouds emerge as a result of applying autonomic computing techniques to Cloud Computing, resulting into robust, fault tolerant and easy to manage and operate cloud architectures and deployments. The application of intelligent approaches to Autonomic Clouds is gaining prominence in research and industry. Such intelligent approaches include evolutionary techniques, multi-objective and combinational optimization heuristics, genetic algorithms, neural networks, swarm intelligence, and multi-agents systems. Application of these intelligent approaches to Clouds can improve how computing systems and applications are built, used, managed and optimized, maximizing the benefits for users, applications and systems by reducing the operational, maintenance and usage costs of clouds. The interplay of intelligent approaches and Clouds offers numerous challenges. The international workshop on Intelligent Techniques and Architectures for Autonomic Clouds (ITAAC 2013) aims to bring together researchers and practitioners across Cloud Computing, Intelligent Systems, and Autonomic Computing to discuss issues at the intersection of these disciplines. Key questions to be addressed include: How do emerging cloud architectures satisfy or contradict the vision of autonomic computing? How does the vision of autonomic computing satisfy the vision of self managing and self healing clouds? How do contemporary and emerging intelligent techniques support and enable both of these? Academics, researchers and practitioners are invited to submit original work on the theory and practice of intelligent and autonomic clouds. Key topics Topics of interest include (but are not limited to): * Theory and foundations of Intelligent Clouds * Quality of Service and Intelligent Clouds * (auto)scaling of Clouds * Self-organizing, self-healing and self-managing Cloud systems * Intelligent deployment, configuration and maintenance approaches for Clouds * Agent based techniques for Clouds * Adaptive and Evolutionary Approaches for Clouds * Intelligent Cloud Workflows, Planning and Scheduling * Intelligent Cloud Resource Management and Discovery in Clouds * Autonomic Clouds of Sensors * Intelligent Management and Monitoring for Clouds * Intelligent approaches to Cloud Service Level Agreement satisfaction * Applications, Toolkits and frameworks for Intelligent and Autonomic Clouds * Advances in Intelligent Data Analysis due to Clouds Submissions that offer position statements, theoretical and industrial perspectives, lessons learned, comparisons, evaluations and technical contributions to intelligent autonomic clouds are also welcome. Paper submission guidelines All papers must be submitted electronically and in PDF format. The material presented should be original and not published or under submission elsewhere. Authors should submit full papers of up to 6 pages, following strictly the IEEE Computer Society Proceedings Manuscript style<http://www.computer.org/portal/web/cscps/formatting>, using two-column, single-space format, with 10-point font size. Figures and references must be included in the 6 pages. At least one of the authors of each accepted paper must register early to attend the conference, in order for the paper to appear in the conference proceedings. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. The proceedings will be published and will be made online through the IEEE Xplore. All papers should be submitted online using EasyChair submission system https://www.easychair.org/account/signin.cgi?conf=itaac2013 High quality articles will be invited to become part of the Journal of Cloud Computing Advances, Systems and Applications (JoCCASA) Workshop Chairs * Professor Nick Antonopoulos, University of Derby, UK Email: n.antonopoulos(a)derby.ac.uk<mailto:n.antonopoulos@derby.ac.uk> * Dr Ashiq Anjum , University of Derby, UK Email: a.anjum(a)derby.ac.uk<mailto:a.anjum@derby.ac.uk> * Dr Lee Gillam, University of Surrey, UK Email: l.gillam(a)surrey.ac.uk<mailto:l.gillam@surrey.ac.uk>. Programme Committee * Antonio Liotta, Eindhoven University of Technology, Netherlands * Manish Parashar, Rutgers, The State University of New Jersey, USA * Richard McClatchey, UWE Bristol, UK * Morris Riedel, Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Germany * Omer Rana, Cardiff University, UK * Rajkumar Buyya, University of Melbourne, Australia * David Wallom, Oxford e-Research Centre, University of Oxford, UK * Jianxin Li, Beihang University, China * Kurt Stockinger, Zurich University of Applied Sciences, Switzerland * Adel Taweel, Kings College London, UK * Fatos Xhafa, Universitat Politècnica de Catalunya, Barcelona, Spain * Daniel S. Katz, Computation Institute, University of Chicago, USA * Ciprian Dobre, University Politehnica of Bucharest, Romania * Richard Hill, University of Derby, UK * Muhammad Atif, The Australian National University, Canberra, Australia * Lu Liu, University of Derby, UK * Peter Bloodsworth, National University of Sciences and Technology (NUST), Pakistan * Saad Liaquat Kiani, University of the West of England, Bristol, UK * Silvio Pardi, University of Naples, Naples, Italy * Zaheer Khan, University of the West of England, Bristol, UK * Liangmin Wang, Jiangsu University, China * Taimoor Khan, Johannes Kepler University, Austria Important Dates * Manuscript Submission Due: 10 September 2013 * Notification of Acceptance: 20 September 2013 * Final Manuscript Due: 27 September 2013 * Author Registration Due: 27 September 2013 * Conference Dates: 9 - 12 December 2013

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Final CFP: MR.BDI2013 - The 2013 International Symposium on MapReduce and Big Data Infrastructure, 03-05 December 2013, Sydney, Australia.
by Sean Zhang 02 Sep '13

02 Sep '13

Final CFP: MR.BDI2013 - The 2013 International Symposium on MapReduce and Big Data Infrastructure, 03-05 December 2013, Sydney, Australia. Website: http://www.swinflow.org/confs/mrbdi2013/ Key dates: Deadline for Paper Submission: September 05, 2013 Notification of Acceptance: September 25, 2013 Camera Ready Copies: October 15, 2013 Registration Due: October 15, 2013 Submission website: https://www.easychair.org/conferences/?conf=mrbdi2013 Proceedings Publication: Proceedings will be published by IEEE CS Press (EI index). Special issues: Distinguished papers will be recommended to special issues in Concurrency and Computation: Practice and Experience; Journal of Network and Computer Applications, Personal and Ubiquitous Computing, Journal of Systems and Software, Journal of Computer and System Sciences, and IEEE Transactions on Emerging Topics in Computing. Topics (not limited to): ¡¤ Challenges and Opportunities in MapReduce based Big Data Tools and Applications ¡¤ Recent Development in MapReduce and Big Data Infrastructure ¡¤ Developping, Debugging and Testing Issues of MapReduce based Big Data Tools ¡¤ Performace Tuning and Optimization for MapReduce and Big Data Infrastructure ¡¤ Benchmarking, Evaluation, Simulation for MapReduce based Big Data Tools ¡¤ Iterative / Recursive MapReduce Systems ¡¤ Computational Theory for MapReduce based Systems ¡¤ Extension of the MapReduce Programming Paradigm ¡¤ Distributed File Systems for MapReduce and Emerging Big Data Tools ¡¤ Algorithm Analysis and Design with MapReduce Paradigm ¡¤ Resource Scheduling and SLA of MapReduce for Multiple Users ¡¤ Heterogeneity and Fault-tolerance in MapReduce based Systems and Big Data Infrastructure ¡¤ Privacy, Security, Trust and Risk in MapReduce and Big Data Infrastructure ¡¤ Integration of MapReduce and Emerging Big Data Tools with Cloud / Grid Systems ¡¤ MapReduce in Hybrid / Fabricated / Federated Cloud Systems ¡¤ Social Networks Analyses with MapReduce ¡¤ Data Mining, Analytics, and Visualization using MapReduce ¡¤ Big Stream / Incremental Data Processing using MapReduce ¡¤ Big Scientific, Genomic and Healthcare Data Processing with MapReduce ¡¤ Industrial Experience and Use Cases of MapReduce based Applications ¡¤ Recent Development Open Source Big Data Infrastructure Submission Guidelines Submit your paper(s) in PDF file at the MR.BDI2013 submission site: https://www.easychair.org/conferences/?conf=mrbdi2013. Papers should be limited up to 8 pages in IEEE CS format. The template files for LATEX or WORD can be downloaded from http://www.swinflow.org/confs/mrbdi2013/. All papers will be peer reviewed by two or three PC members. Submitting a paper to the symposium means that if the paper is accepted, at least one author should register to BDSE2013 and attend the conference to present the paper. General Chairs Albert Y. Zomaya, Sydney University, Australia Geoffrey Charles Fox, Indiana University, USA Jinjun Chen, University of Technology, Sydney, Australia Program Chairs Xuyun Zhang, University of Technology Sydney, Australia (xyzhanggz(a)gmail.com ) Suraj Pandey, IBM Australia Research Lab, Australia (suraj.pandey(a)au.ibm.com ) Surya Nepal, CSIRO, Australia (surya.nepal(a)csiro.au)

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