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Hi all,<br>
The DADC workshop extended their deadline. I attended last year, and it
was a great venue focusing on data resource management in distributed
systems. If you have any work that is close to being ready to publish
and it is relevant to the workshop, its a good venue to try!<br>
<br>
Cheers,<br>
Ioan<br>
<br>
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<th align="right" nowrap="nowrap" valign="baseline">Subject: </th>
<td>[Dadc09] Deadlines for DADC'09 extended</td>
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<th align="right" nowrap="nowrap" valign="baseline">Date: </th>
<td>Wed, 18 Feb 2009 11:34:16 -0600</td>
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<th align="right" nowrap="nowrap" valign="baseline">From: </th>
<td>Tevfik Kosar <a class="moz-txt-link-rfc2396E" href="mailto:kosar@cct.lsu.edu"><kosar@cct.lsu.edu></a></td>
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<th align="right" nowrap="nowrap" valign="baseline">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:dadc09@cct.lsu.edu">dadc09@cct.lsu.edu</a></td>
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<br>
<br>
The abstract and paper submission deadlines for DADC'09 have been
extended. The new deadlines are:<br>
<br>
Abstract submission: February 25, 2009 (extended)<br>
Paper submission: March 1, 2009 (extended)<br>
<br>
<div>Thank you.<br>
<div>Tevfik<br>
<br>
-----------------------------------------------------------------------------------<br>
*** Call for Papers ***<br>
WORKSHOP ON DATA-AWARE DISTRIBUTED COMPUTING (DADC'09)<br>
In conjunction with HPDC 2009, June 9-13, Munich, Germany<br>
<a moz-do-not-send="true" href="http://www.cct.lsu.edu/%7Ekosar/dadc09">http://www.cct.lsu.edu/~kosar/dadc09</a><br>
------------------------------------------------------------------------------------<br>
<br>
The Second International Workshop on Data-Aware Distributed Computing
(DADC'09)<br>
will be held in conjunction with the 18th International Symposium on
High Performance<br>
Distributed Computing (HPDC-18), in Munich, Germany.<br>
<br>
The data requirements of scientific as well as commercial applications
from<br>
a diverse range of fields have been increasing exponentially over the
recent<br>
years. This increase in the demand for large-scale data processing has
necessitated<br>
collaboration and sharing among the world's leading education,
research, and industrial<br>
institutions and use of distributed resources owned by collaborating
parties. In a<br>
widely distributed environment, data is no more locally accessible and
has thus to<br>
be remotely retrieved and stored. While traditional distributed systems
work well<br>
for computation that requires limited data handling, they fail in
unexpected ways<br>
when the computation accesses, creates, and moves large amounts of data
especially<br>
over wide-area networks. Scientists, researchers, and application
developers are<br>
often forced to spend a great deal of time and energy on solving basic
data-handling<br>
issues, such as the physical location of data, how to access it, and/or
how to move<br>
it to visualization and/or compute resources for further analysis.<br>
<br>
This workshop will focus on the challenges of distributed systems
imposed by the<br>
data intensive applications, and on the different state-of-the-art
solutions proposed<br>
to overcome these challenges. A new paradigm called "data-aware
distributed computing"<br>
and its application to different research realms such as scheduling,
resource allocation,<br>
workflow management, and visualization will be discussed. With the
knowledge of the<br>
correct data management techniques, the domain scientists will be able
to focus on<br>
their primary goal, assured that their data management needs are
handled reliably<br>
and efficiently. We believe this workshop will make a unique
contribution to collaborative<br>
and distributed computing community by focusing on the planning,
management, and<br>
scheduling of data handling tasks and data storage resources.<br>
<br>
Topics of interest include, but are not limited to:<br>
- Data-intensive applications and their challenges<br>
- Data-aware toolkits, middleware, storage and file systems<br>
- Data-oriented batch schedulers and workflow managers<br>
- Data staging, replication, and remote access to data<br>
- Data placement, management, and scheduling techniques<br>
- Co-scheduling of computation, data storage, and network resources<br>
- Network support for data-intensive computing<br>
- High speed wide area data transfers and bulk data movement<br>
- Remote and distributed visualization of large scale data<br>
- Data-aware workflow and data-flow management<br>
- Cross-domain metadata and ontologies<br>
- Distributed and hierarchical storage management<br>
- Storage resource managers and brokers<br>
- Data archives, digital libraries, and preservations<br>
- Service oriented architectures for data-intensive computing<br>
- Protection of sensitive data in a collaborative environment<br>
- Peer-to-peer data movement and data streaming<br>
- Future research challenges in data-intensive computing<br>
<br>
IMPORTANT DATES:<br>
Abstract submission: February 25, 2009 (extended)<br>
Paper submission: March 1, 2009 (extended)<br>
Acceptance notification: March 15, 2009<br>
Final papers due: April 1, 2009<br>
<br>
PAPER SUBMISSIONS:<br>
DADC'09 invites authors to submit original and unpublished technical
papers<br>
of at most 10 pages. All submissions will be peer-reviewed and judged
on correctness,<br>
originality, technical strength, significance, quality of presentation,
and relevance<br>
to the workshop topics of interest. Submitted papers may not have
appeared in or be<br>
under consideration for another workshop, conference or a journal, nor
may they be<br>
under review or submitted to another forum during the DADC'09 review
process. Papers<br>
should be prepared in ACM SIG Proceedings format and submitted
electronically<br>
(in PDF format) via the HPDC 2009 conference web site.<br>
<br>
<br>
WORKSHOP and PROGRAM CHAIR:<br>
Tevfik Kosar, Louisiana State University<br>
<br>
<br>
PROGRAM COMMITTEE:<br>
Micah Beck, University of Tennessee<br>
John Bent, Los Alamos National Laboratory<br>
Ann Chervenak, USC Information Sciences Institute<br>
Alok Choudhary, Northwestern University<br>
Ewa Deelman, USC Information Sciences Institute<br>
Renato Figueiredo, University of Florida<br>
Geoffrey Fox, Indiana University<br>
Peter Kacsuk, Hungarian Academy of Sciences<br>
Dan Katz, Louisiana State University<br>
Peter Kunszt, Swiss National Computing Center<br>
Erwin Laure, CERN<br>
Reagan Moore, San Diego Supercomputing Center<br>
Don Petravick, Fermi National Accelarator Laboratory<br>
Ioan Raicu, University of Chicago<br>
Sanjay Ranka, University of Florida<br>
Doron Rotem, Lawrence Berkeley National Laboratory<br>
Jennifer Schopf, National Science Foundation<br>
Florian Schintke, Zuse Institute Berlin<br>
Alex Sim, Lawrence Berkeley National Laboratory<br>
Ian Taylor, Cardiff University<br>
Douglas Thain, University of Notre Dame<br>
Brian Tierney, Lawrence Berkeley National Laboratory<br>
Bernard Traversat, Sun Microsystems<br>
Sudharshan Vazhkudai, Oak Ridge National Laboratory<br>
Andrew Wendelborn, University of Adelaide<br>
Mike Wilde, Argonne National Laboratory<br>
<br>
_______________________________________________<br>
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<br>
<pre class="moz-signature" cols="72">--
===================================================
Ioan Raicu, Ph.D.
===================================================
Distributed Systems Laboratory
Computer Science Department
University of Chicago
1100 E. 58th Street, Ryerson Hall
Chicago, IL 60637
===================================================
Email: <a class="moz-txt-link-abbreviated" href="mailto:iraicu@cs.uchicago.edu">iraicu@cs.uchicago.edu</a>
Web: <a class="moz-txt-link-freetext" href="http://www.cs.uchicago.edu/~iraicu">http://www.cs.uchicago.edu/~iraicu</a>
<a class="moz-txt-link-freetext" href="http://dev.globus.org/wiki/Incubator/Falkon">http://dev.globus.org/wiki/Incubator/Falkon</a>
<a class="moz-txt-link-freetext" href="http://dsl-wiki.cs.uchicago.edu/index.php/Main_Page">http://dsl-wiki.cs.uchicago.edu/index.php/Main_Page</a>
===================================================
===================================================
</pre>
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