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DIDC 2011 : Workshop on Data Intensive Distributed Computing


When Jun 8, 2011 - Jun 8, 2011
Where San Jose, CA
Submission Deadline Feb 15, 2011
Notification Due Mar 8, 2011
Final Version Due Mar 24, 2011
Categories    data intensive computing   distributed computing   grids   clouds

Call For Papers

*** Call for Papers ***

In conjunction with HPDC 2011, June 8, San Jose, California


*** Abstracts & Full Papers due: February 15, 2011 ****

The Fourth International Workshop on Data Intensive Distributed Computing (DIDC 2011) will be held in conjunction with the 20th ACM International Symposium on High Performance Distributed Computing (HPDC 2011), in San Jose, California.

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

*** Authors of the selected DIDC 2011 papers will be invited to submit extended versions of their workshop papers to the Journal of Grid Computing, Special Issue on "Data Intensive Computing in the Clouds." More information on this special issue will be available on this web site soon.

Abstract and Paper Submission: February 15, 2011
Acceptance Notification: March 8, 2011
Camera Ready Papers Due: March 24, 2011

DIDC 2011 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 2011 review process.

Papers should be prepared in ACM SIG Proceedings format and submitted electronically (as a PDF file) via this web site:

Tevfik Kosar, University at Buffalo

Malcolm Atkinson, e-Science Institute, UK
Ian Gorton, Pasific Northwest National Laboratory
William Johnston, Lawrence Berkeley National Laboratory
Karsten Schwan, Georgia Institute of Technology
Joel Saltz, Emory University
Edward Seidel, National Science Foundation

Roger Barga, Microsoft Research
Micah Beck, University of Tennessee
Surendra Byna, Lawrence Berkeley National Laboratory
Umit Catalyurek, Ohio State University
Geoffrey Challen, Massachusetts Institute of Technology
Murat Demirbas, University at Buffalo
Tomoya Enokido, Rishho University, Japan
Liana L. Fong, IBM Research
Hakan Hacigumus, NEC Labs
Dan Katz, U of Chicago & Argonne National Laboratory
Scott Klasky, Oak Ridge National Laboratory
Peter Kunszt, Swiss Institute of Bioinformatics, Switzerland
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 Acceerator Laboratory
Ioan Raicu, Illinois Institute of Technology
Sanjay Ranka, University of Florida
Florian Schintke, Zuse Institute Berlin, Germany
Osamu Tatebe, University of Tsukuba, Japan
Ian Taylor, Cardiff University, UK
Brian Tierney, Lawrence Berkeley National Laboratory
Bernard Traversat, Oracle, Inc.
Sudharshan Vazhkudai, Oak Ridge National Laboratory
Andrew Wendelborn, University of Adelaide, Australia

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