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<h2><a name="HTML">The Second International Workshop on Data
Intensive Computing in the Clouds (DataCloud-SC11) 2011</a></h2>
<a href="http://datasys.cs.iit.edu/events/DataCloud-SC11/">http://datasys.cs.iit.edu/events/DataCloud-SC11/</a><a
name="HTML"></a><br>
<br>
<span class="style10"><strong>Co-located with </strong> <a
href="http://sc11.supercomputing.org/"><strong>Supercomputing/SC
2011</strong></a> <strong><br>
Seattle Washington -- November 14th, 2011</strong></span>
<h4> <a name="News">News</a></h4>
<ul>
<li class="style9"><a
href="http://datasys.cs.iit.edu/events/JGC-DataCloud-2012/index.html">
<strong>Special Issue on Data Intensive Computing in the
Clouds in the Springer Journal of Grid Computing</strong></a></li>
<li class="style9"><strong><a
href="http://datasys.cs.iit.edu/events/MTAGS11/index.html">4th
Workshop on Many-Task Computing on Grids and Supercomputers
(MTAGS) 2011, co-located at Supercomputing/SC 2011, November
14th, 2011</a></strong></li>
</ul>
<h4><a name="Overview">Overview</a></h4>
<p class="style6">Applications and experiments in all areas of
science are becoming increasingly complex and more demanding in
terms of their computational and data requirements. Some
applications generate data volumes reaching hundreds of terabytes
and even petabytes. As scientific applications become more data
intensive, the management of data resources and dataflow between
the storage and compute resources is becoming the main bottleneck.
Analyzing, visualizing, and disseminating these large data sets
has become a major challenge and data intensive computing is now
considered as the “fourth paradigm” in scientific discovery after
theoretical, experimental, and computational science. </p>
<p class="style6">The second international workshop on
Data-intensive Computing in the Clouds (DataCloud-SC11) will
provide the scientific community a dedicated forum for discussing
new research, development, and deployment efforts in running
data-intensive computing workloads on Cloud Computing
infrastructures. The DataCloud-SC11 workshop will focus on the use
of cloud-based technologies to meet the new data intensive
scientific challenges that are not well served by the current
supercomputers, grids or compute-intensive clouds. We believe the
workshop will be an excellent place to help the community define
the current state, determine future goals, and present
architectures and services for future clouds supporting data
intensive computing. </p>
<p class="style6">For more information about the workshop, please
see <a href="http://datasys.cs.iit.edu/events/DataCloud-SC11/">
http://datasys.cs.iit.edu/events/DataCloud-SC11/</a>. To see the
1st workshop's program agenda, and accepted papers and
presentations, please see <a
href="http://www.cse.buffalo.edu/faculty/tkosar/datacloud2011/">
http://www.cse.buffalo.edu/faculty/tkosar/datacloud2011/</a>. We
are also running a <a
href="http://datasys.cs.iit.edu/events/JGC-DataCloud-2012/index.html">Special
Issue on Data Intensive Computing in the Clouds</a> in the <a
href="http://www.springer.com/computer/communication+networks/journal/10723">
Springer Journal of Grid Computing</a> with a paper submission
deadline of August 16th 2011, which will appear in print in June
2012. </p>
<h4><a name="Topics">Topics</a></h4>
<ul class="style6">
<li>Data-intensive cloud computing applications, characteristics,
challenges </li>
<li>Case studies of data intensive computing in the clouds </li>
<li>Performance evaluation of data clouds, data grids, and data
centers </li>
<li>Energy-efficient data cloud design and management </li>
<li>Data placement, scheduling, and interoperability in the clouds
</li>
<li>Accountability, QoS, and SLAs </li>
<li>Data privacy and protection in a public cloud environment </li>
<li>Distributed file systems for clouds </li>
<li>Data streaming and parallelization </li>
<li>New programming models for data-intensive cloud computing </li>
<li>Scalability issues in clouds </li>
<li>Social computing and massively social gaming </li>
<li>3D Internet and implications </li>
<li>Future research challenges in data-intensive cloud computing </li>
</ul>
<h4><a name="Important_Dates">Important Dates</a></h4>
<ul class="style6">
<li>Abstract submission: September 2, 2011 </li>
<li>Paper submission: September 9, 2011 </li>
<li>Acceptance notification: October 7, 2011 </li>
<li>Final papers due: October 28, 2011 </li>
</ul>
<h4><a name="Paper_Submission">Paper Submission</a></h4>
<p>Authors are invited to submit papers with unpublished, original
work of not more than 10 pages of double column text using single
spaced 10 point size on 8.5 x 11 inch pages, as per ACM 8.5 x 11
manuscript guidelines
(<a class="moz-txt-link-freetext" href="http://www.acm.org/publications/instructions_for_proceedings_volumes">http://www.acm.org/publications/instructions_for_proceedings_volumes</a>);
document templates can be found at
<a class="moz-txt-link-freetext" href="http://www.acm.org/sigs/publications/proceedings-templates">http://www.acm.org/sigs/publications/proceedings-templates</a>. We are
also seeking position papers of no more than 5 pages in length. A
250 word abstract (PDF format) must be submitted online at <a
href="https://cmt.research.microsoft.com/DataCloud_SC11/">
https://cmt.research.microsoft.com/DataCloud_SC11/</a> before
the deadline of September 2nd, 2011 at 11:59PM PST; the final 5/10
page papers in PDF format will be due on September 9th, 2011 at
11:59PM PST. Papers will be peer-reviewed, and accepted papers
will be published in the workshop proceedings as part of the ACM
digital library (pending approval). Notifications of the paper
decisions will be sent out by October 7th, 2011. Selected
excellent work may be eligible for additional post-conference
publication as journal articles. We are currently running a <a
href="http://datasys.cs.iit.edu/events/JGC-DataCloud-2012/index.html">Special
Issue on Data Intensive Computing in the Clouds</a> in the <a
href="http://www.springer.com/computer/communication+networks/journal/10723">
Springer Journal of Grid Computing</a>. Submission implies the
willingness of at least one of the authors to register and present
the paper. For more information, please see <a
href="http://datasys.cs.iit.edu/events/DataCloud-SC11/">
http://datasys.cs.iit.edu/events/DataCloud-SC11/</a> or send
email to <a
href="mailto:datacloud-sc11-chairs@datasys.cs.iit.edu">
datacloud-sc11-chairs@datasys.cs.iit.edu</a>. </p>
<h4><a
href="http://datasys.cs.iit.edu/events/DataCloud-SC11/organization.html"
name="Organization">Organization</a></h4>
<p><strong>General Chairs (<a
href="mailto:datacloud-sc11-chairs@datasys.cs.iit.edu">datacloud-sc11-chairs@datasys.cs.iit.edu</a>)</strong></p>
<ul>
<li>Ioan Raicu, Illinois Institute of Technology & Argonne
National Laboratory, USA</li>
<li>Tevfik Kosar, University at Buffalo, USA</li>
<li>Roger Barga, Microsoft Research, USA</li>
</ul>
<p><strong>Steering Committee</strong></p>
<ul>
<li>Ian Foster, University of Chicago & Argonne National
Laboratory, USA</li>
<li>Geoffrey Fox, Indiana University, USA </li>
<li>James Hamilton, Amazon, USA </li>
<li>Manish Parashar, Rutgers University, USA </li>
<li>Dan Reed, Microsoft Research, USA </li>
<li>Rich Wolski, University of California at Santa Barbara, USA</li>
<li>Rong Chang, IBM, USA </li>
</ul>
<p><strong>Program Committee</strong></p>
<ul>
<li>David Abramson, Monash University, Australia</li>
<li>Abhishek Chandra, University of Minnesota, USA</li>
<li>Yong Chen, Texas Tech University, USA</li>
<li>Terence Critchlow, Pacific Northwest National Laboratory, USA</li>
<li>Murat Demirbas, SUNY Buffalo, USA</li>
<li>Jaliya Ekanayake, Microsoft Research, USA</li>
<li>Rob Gillen, Oak Ridge National Laboratory, USA</li>
<li>Maria Indrawan, Monash University, Australia </li>
<li>Alexandru Iosup, Delft University of Technology, Netherlands</li>
<li>Hui Jin, Illinois Institute of Technology, USA</li>
<li>Dan S. Katz, University of Chicago, USA</li>
<li>Gregor von Laszewski, Indiana University, USA</li>
<li>Erwin Laure, CERN, Switzerland</li>
<li>Reagan Moore, University of North Carolina at Chapel Hill, USA</li>
<li>Jim Myers, Rensselaer Polytechnic Institute, USA </li>
<li>Judy Qiu, Indiana University, USA</li>
<li>Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory,
USA</li>
<li>Florian Schintke, Zuse Institute Berlin, Germany</li>
<li>Borja Sotomayor, University of Chicago, USA</li>
<li>Ian Taylor, Cardiff University, UK</li>
<li>Bernard Traversat, Oracle Corporation, USA </li>
</ul>
<pre class="moz-signature" cols="72">--
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Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
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Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
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Cel: 1-847-722-0876
Office: 1-312-567-5704
Email: <a class="moz-txt-link-abbreviated" href="mailto:iraicu@cs.iit.edu">iraicu@cs.iit.edu</a>
Web: <a class="moz-txt-link-freetext" href="http://www.cs.iit.edu/~iraicu/">http://www.cs.iit.edu/~iraicu/</a>
Web: <a class="moz-txt-link-freetext" href="http://datasys.cs.iit.edu/">http://datasys.cs.iit.edu/</a>
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