DADC 2009

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DADC 2009
International Workshop on Data-Aware Distributed Computing @HPDC'09
Dates Jun 9, 2009 (iCal) - Jun 10, 2009
Homepage: www.cct.lsu.edu/~kosar/dadc09
Location
Location: Munich, Germany
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Important dates
Submissions: Feb 20, 2009
Camera ready due: Apr 1, 2009
Table of Contents


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*** Call for Papers ***
WORKSHOP ON DATA-AWARE DISTRIBUTED COMPUTING (DADC'09)
In conjunction with HPDC 2009, June 9-13, Munich, Germany
http://www.cct.lsu.edu/~kosar/dadc09
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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
 
IMPORTANT DATES:
Abstract submission: February 13, 2008
Paper submission: February 20, 2008
Acceptance notification: March 15, 2008
Final papers due: April 1, 2008

PAPER SUBMISSIONS:
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.
 

WORKSHOP and PROGRAM CHAIR:
Tevfik Kosar, Louisiana State University
 

PROGRAM COMMITTEE:
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 
	

This CfP was obtained from WikiCFP

Facts about "DADC 2009"
AcronymDADC 2009 +
Camera ready dueApril 1, 2009 +
End dateJune 10, 2009 +
Event typeWorkshop +
Has coordinates48° 8' 14", 11° 34' 31"Latitude: 48.137108333333
Longitude: 11.575383333333
+
Has location cityMunich +
Has location countryCategory:Germany +
Homepagehttp://www.cct.lsu.edu/~kosar/dadc09 +
IsAEvent +
Start dateJune 9, 2009 +
Submission deadlineFebruary 20, 2009 +
TitleInternational Workshop on Data-Aware Distributed Computing @HPDC'09 +