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DADC 2009 : International Workshop on Data-Aware Distributed Computing @HPDC'09


When Jun 9, 2009 - Jun 10, 2009
Where Munich, Germany
Abstract Registration Due Feb 13, 2009
Submission Deadline Feb 20, 2009
Notification Due Mar 15, 2009
Final Version Due Apr 1, 2009
Categories    distributed computing   data management   applications   middleware

Call For Papers

*** Call for Papers ***
In conjunction with HPDC 2009, June 9-13, Munich, Germany

The Second International Workshop on Data-Aware Distributed Computing (DADC'09)
will be held in conjunction with the 18th International Symposium on High Performance
Distributed Computing (HPDC-18), in Munich, Germany.

The data requirements 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 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 no more 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 fail in unexpected ways
when the computation accesses, creates, and moves large amounts of data especially
over wide-area networks. Scientists, researchers, and application developers are
often forced to spend a great deal of time and energy on solving basic data-handling
issues, such as the physical location of 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 of distributed systems imposed by the
data intensive applications, and on the different state-of-the-art solutions proposed
to overcome these challenges. A new paradigm called "data-aware distributed computing"
and its application to different research realms such as scheduling, resource allocation,
workflow management, and visualization will be discussed. With the knowledge of the
correct data management techniques, the domain scientists will be able to focus on
their primary goal, assured that their data management needs are handled reliably
and efficiently. We believe this workshop will make a unique contribution to collaborative
and distributed computing community by focusing 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-aware toolkits, middleware, storage and file systems
- Data-oriented batch schedulers and workflow managers
- Data staging, replication, and remote access to data
- Data placement, management, and scheduling techniques
- Co-scheduling of computation, data storage, and network resources
- Network support for data-intensive computing
- High speed wide area data transfers and bulk data movement
- Remote and distributed visualization of large scale data
- Data-aware workflow and data-flow management
- Cross-domain metadata and ontologies
- Distributed and hierarchical storage management
- Storage resource managers and brokers
- Data archives, digital libraries, and preservations
- Service oriented architectures for data-intensive computing
- Protection of sensitive data in a collaborative environment
- Peer-to-peer data movement and data streaming
- Future research challenges in data-intensive computing

Abstract submission: February 13, 2008
Paper submission: February 20, 2008
Acceptance notification: March 15, 2008
Final papers due: April 1, 2008

DADC'09 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 DADC'09 review process. Papers
should be prepared in ACM SIG Proceedings format and submitted electronically
(in PDF format) via the HPDC 2009 conference web site.

Tevfik Kosar, Louisiana State University

Micah Beck, University of Tennessee
John Bent, Los Alamos National Laboratory
Ann Chervenak, USC Information Sciences Institute
Alok Choudhary, Northwestern University
Ewa Deelman, USC Information Sciences Institute
Renato Figueiredo, University of Florida
Geoffrey Fox, Indiana University
Peter Kacsuk, Hungarian Academy of Sciences
Dan Katz, Louisiana State University
Peter Kunszt, Swiss National Computing Center
Erwin Laure, CERN
Reagan Moore, San Diego Supercomputing Center
Don Petravick, Fermi National Accelarator Laboratory
Ioan Raicu, University of Chicago
Sanjay Ranka, University of Florida
Doron Rotem, Lawrence Berkeley National Laboratory
Jennifer Schopf, National Science Foundation
Florian Schintke, Zuse Institute Berlin
Alex Sim, Lawrence Berkeley National Laboratory
Ian Taylor, Cardiff University
Douglas Thain, University of Notre Dame
Brian Tierney, Lawrence Berkeley National Laboratory
Bernard Traversat, Sun Microsystems
Sudharshan Vazhkudai, Oak Ridge National Laboratory
Andrew Wendelborn, University of Adelaide
Mike Wilde, Argonne National Laboratory

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