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DIDC 2012 : WORKSHOP ON DATA INTENSIVE DISTRIBUTED COMPUTING | |||||||||||||||
Link: http://www.cse.buffalo.edu/faculty/tkosar/didc2012 | |||||||||||||||
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Call For Papers | |||||||||||||||
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*** Call for Papers *** WORKSHOP ON DATA INTENSIVE DISTRIBUTED COMPUTING (DIDC 2012) In conjunction with HPDC 2012, June 18-22, Delft, Netherlands http://www.cse.buffalo.edu/faculty/tkosar/didc2012 ------------------------------------------------------------------------------------------- *** Abstracts & Full Papers due: March 2, 2012 **** The Fifth International Workshop on Data Intensive Distributed Computing (DIDC 2012) will be held in conjunction with the 21st International Symposium on High Performance Distributed Computing (HPDC 2012), in Delft, Netherlands. The data needs of scientific as well as commercial applications from a diverse range of fields have been increasing exponentially over the recent years. This increase in the demand for large-scale data processing has necessitated collaboration and sharing of data collections among the world's leading education, research, and industrial institutions and use of distributed resources owned by collaborating parties. In a widely distributed environment, data is often not locally accessible and has thus to be remotely retrieved and stored. While traditional distributed systems work well for computation that requires limited data handling, they may fail in unexpected ways when the computation accesses, creates, and moves large amounts of data especially over wide-area networks. Further, data accessed and created is often poorly described, lacking both metadata and provenance. Scientists, researchers, and application developers are often forced to solve basic data-handling issues, such as physically locating data, how to access it, and/or how to move it to visualization and/or compute resources for further analysis. This workshop will focus on the challenges imposed by data-intensive applications on distributed systems, and on the different state-of-the-art solutions proposed to overcome these challenges. It will bring together the collaborative and distributed computing community and the data management community in an effort to generate productive conversations on the planning, management, and scheduling of data handling tasks and data storage resources. Topics of interest include, but are not limited to: - Data-intensive applications and their challenges - Data clouds, data grids, and data centers - New architectures for data-intenstive computing - Data virtualization, interoperability, and federation - Data-aware toolkits and middleware - Dynamic data-driven science - Data collection, provenance, and metadata - Network support for data-intensive computing - Remote and distributed visualization of large scale data - Data archives, digital libraries, and preservation - Service oriented architectures for data-intensive computing - Data privacy and protection in a collaborative environment - Peer-to-peer data movement and data streaming - Scientific breakthrough enabled by DIDC - Future research challenges in data-intensive computing IMPORTANT DATES: Abstract & Paper Submission: March 2, 2012 Acceptance Notification: March 23, 2012 Camera Ready Papers Due: April 16, 2012 PAPER SUBMISSION: DIDC 2012 invites authors to submit original and unpublished technical papers of at most 10 pages. All submissions will be peer-reviewed and judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the workshop topics of interest. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the DIDC 2012 review process. Papers should be prepared in ACM SIG Proceedings format and submitted electronically (as a PDF file) via this web site: https://www.easychair.org/account/signin.cgi?conf=didc2012 WORKSHOP and PROGRAM CHAIR: Tevfik Kosar, University at Buffalo Douglas Thain, University Notre Dame STEERING COMMITTEE: Malcolm Atkinson, e-Science Institute, UK Ian Gorton, Pacific Northwest National Laboratory William Johnston, Lawrence Berkeley National Laboratory Karsten Schwan, Georgia Institute of Technology Joel Saltz, Emory University Edward Seidel, National Science Foundation PROGRAM COMMITTEE: Gagan Agrawal, Ohio State University Roger Barga, Microsoft Research Umit Catalyurek, Ohio State University Abhishek Chandra, University of Minnesota Murat Demirbas, University at Buffalo Liana L. Fong, IBM Research Hakan Hacigumus, NEC Labs Dan Katz, U of Chicago & Argonne National Laboratory Scott Klasky, Oak Ridge National Laboratory Erwin Laure, Royal Institute of Technology, Sweden Shawn McKee, University of Michigan Reagan Moore, University of North Carolina Manish Parashar, Rutgers University & NSF Ruth Pordes, Fermi National Accelerator Laboratory Ioan Raicu, Illionis Institute of Technology Sanjay Ranka, University of Florida Florian Schintke, Zuse Institute Berlin, Germany Osamu Tatebe, University of Tsukuba, Japan Brian Tierney, Lawrence Berkeley National Laboratory Bernard Traversat, Oracle, Inc. Sudharshan Vazhkudai, Oak Ridge National Laboratory |
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