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DIDC 2010 : Workshop on Data-Intensive Distributed Computing

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Link: http://www.cct.lsu.edu/~kosar/didc10
 
When Jun 22, 2010 - Jun 22, 2010
Where Chicago, IL, USA
Submission Deadline Mar 12, 2010
Categories    distributed computing
 

Call For Papers

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*** Call for Papers ***
WORKSHOP ON DATA-INTENSIVE DISTRIBUTED COMPUTING (DIDC'10)
In conjunction with HPDC 2010, June 22, Chicago, IL
http://www.cct.lsu.edu/~kosar/didc10
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The Third International Workshop on Data Intensive Distributed Computing (DIDC'10) will be held in conjunction with the 19th International Symposium on High Performance Distributed Computing (HPDC'10), in Chicago, Illinois.

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
- Data-aware toolkits and middleware
- Dynamic data-driven science
- Data-intensive scalable computing
- Data collection, provenance, and metadata
- Data placement, management, and scheduling techniques
- 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 virtualization, interoperability, and federation
- Data privacy and protection in a collaborative environment
- Peer-to-peer data movement and data streaming
- Future research challenges in data-intensive computing

IMPORTANT DATES:
Abstract submission March 15, 2010 (extended)
Paper submission March 15, 2010 (extended)
Acceptance notification April 7, 2010
Final papers due April 21, 2010

PAPER SUBMISSIONS:
DIDC'10 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'10 review process. Papers should be prepared in ACM SIG Proceedings format and submitted electronically (as a PDF file) via the DIDC 2010 web site.

WORKSHOP and PROGRAM CHAIR:
Tevfik Kosar, Louisiana State University

PROGRAM COMMITTEE:
Shenda Baker, Harvey Mudd College
John Bent, Los Alamos National Laboratory
Surendra Byna, NEC Labs
Dan Katz, University of Chicago
Erwin Laure, CERN
Reagan Moore, University of North Carolina
Ruth Pordes, Fermi National Accelarator Laboratory
Ioan Raicu, Northwestern University
Sanjay Ranka, University of Florida
Florian Schintke, Zuse Institute Berlin
Heinz Stockinger, Swiss Institute of Bioinformatics
Xian-He Sun, Illinois Institute of Technology
Osamu Tatebe, University of Tsukuba
Ian Taylor, Cardiff University
Brian Tierney, Lawrence Berkeley National Laboratory
Bernatd Traversat, Sun Microsystems
Sudharshan Vazhkudai, Oak Ridge National Laboratory
Andrew Wendelborn, University of Adelaide

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