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FYI...<br>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Subject: </th>
<td>CFP: CloudFlow 2012 Workshop - Submission Deadline
Extended to Jan 16th, 2012</td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Date: </th>
<td>Sat, 7 Jan 2012 22:32:43 +0800</td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">From: </th>
<td>yong zhao <a class="moz-txt-link-rfc2396E" href="mailto:yongzh04@gmail.com"><yongzh04@gmail.com></a></td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">To: </th>
<td>yong zhao <a class="moz-txt-link-rfc2396E" href="mailto:yongzh04@gmail.com"><yongzh04@gmail.com></a></td>
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<br>
<br>
<div>First International Workshop on Workflow Models, Systems,
Services and Applications in the Cloud (CloudFlow) 2012</div>
<div><br>
To be held in conjunction with the 26th IEEE International
Parallel & Distributed Processing Symposium (IPDPS) 2012,
Shanghai, China, May 21-25, 2012.<br>
<a moz-do-not-send="true"
href="http://www.cloud-uestc.cn/cloudflow/home.html">http://www.cloud-uestc.cn/cloudflow/home.html</a><br>
</div>
<div>Overview<br>
Cloud computing is gaining tremendous momentum in both academia
and industry, more and more people are migrating their data and
applications into the Cloud. We have observed wide adoption of the
MapReduce computing model and the open source Hadoop system for
large scale distributed data processing, and a variety of ad hoc
mashup techniques that weave together Web applications. However,
these are just first steps towards managing complex task and data
dependencies in the Cloud, as there are more challenging issues
such as large parameter space exploration, data partitioning and
distribution, scheduling and optimization, smart reruns, and
provenance tracking associated with workflow execution.<br>
Cloud needs structured and mature workflow technologies to handle
such issues, and vice versa, as Cloud offers unprecedented
scalability to workflow systems, and could potentially change the
way we perceive and conduct research and experiments. The scale
and complexity of the science and data analytics problems that can
be handled can be greatly increased on the Cloud, and the
on-demand nature of resource allocation on the Cloud will also
help improve resource utilization and user experience.<br>
As Cloud computing provides a paradigm-shifting utility-oriented
computing model in terms of the unprecedented size of
datacenter-level resource pool and the on-demand resource
provisioning mechanism, there are lots of challenges in bringing
Cloud and workflows together. We need high level languages and
computing models for large scale workflow specification; we need
to adapt existing workflow architectures into the Cloud, and
integrate workflow systems with Cloud infrastructure and
resources; we also need to leverage Cloud data storage
technologies to efficiently distribute data over a large number of
nodes and explore data locality during computation etc. We
organize the CloudFlow workshop as a venue for the workflow and
Cloud communities to define models and paradigms, present their
state-of-the-art work, share their thoughts and experiences, and
explore new directions in realizing workflows in the Cloud.<br>
</div>
<div>Topics:<br>
We welcome the submission of original work related to the topics
listed below, which include (in the context of Cloud):<br>
Models and Languages for Large Scale Workflow Specification<br>
Workflow Architecture and Framework<br>
Large Scale Workflow Systems<br>
Service Workflow<br>
Workflow Composition and Orchestration<br>
Workflow Migration into the Cloud<br>
Workflow Scheduling and Optimization<br>
Cloud Middleware in Support of Workflow<br>
Virtualized Environment<br>
Workflow Applications and Case Studies<br>
Performance and Scalability Analysis<br>
Peta-Scale Data Processing<br>
Event Processing and Messaging<br>
Real-Time Analytics<br>
Provenance<br>
</div>
<div>Paper Submission<br>
Authors are invited to submit papers with unpublished, original
work. The papers should not exceed 10 single-spaced double-column
pages using 10-point size font on 8.5x11 inch pages (IEEE
conference style), including figures, tables, and references.<br>
Paper submission should be done via the online CMT system,
Microsoft’s Academic Conference Management Service (<a
moz-do-not-send="true"
href="https://cmt.research.microsoft.com/CF2012">https://cmt.research.microsoft.com/CF2012</a>)
by midnight January 16th, 2012 Pacific Time. The final format
should be in PDF. Proceedings of the workshop will be published by
the IEEE Digital Library and distributed at the conference.
Selected excellent work may be eligible for additional
post-conference publication as journal articles or book chapters.
Submission implies the willingness of at least one of the authors
to register and present the paper.<br>
</div>
<div>Important Dates<br>
Paper submission: January 16th, 2012<br>
Acceptance notification: February 15th, 2012<br>
Final paper due: Feb 26th, 2012<br>
</div>
<div>Organization<br>
Workshop Chairs:<br>
Dr. Yong Zhao<br>
University of Electronic Science and Technology of China, China<br>
<a moz-do-not-send="true" href="mailto:yongzh04@gmail.com">yongzh04@gmail.com</a><br>
Dr. Cui Lin<br>
California State University, Fresno, USA<br>
<a moz-do-not-send="true" href="mailto:clin@csufresno.edu">clin@csufresno.edu</a><br>
Dr. Shiyong Lu<br>
Wayne State University, USA<br>
<a moz-do-not-send="true" href="mailto:shiyong@wayne.edu">shiyong@wayne.edu</a><br>
</div>
<div>Program Chairs:<br>
Dr. Wenhong Tian<br>
University of Electronic Science and Technology of China, China<br>
Dr. Ruini Xue<br>
Tsinghua University, China<br>
</div>
<div>Steering Committee<br>
· Daniel S. Katz, University of Chicago, U.S.A.<br>
· Mike Wilde, University of Chicago, U.S.A.<br>
· Ewa Deelman, University of South California, U.S.A.<br>
· Tevfik Kosar, University at Buffalo, U.S.A.<br>
· Ilkay Altintas, San Diego Supercomputer Center, U.S.A.<br>
· Ioan Raicu, Illinois Institute of Technology, U.S.A.<br>
· Yogesh Simmhan, University of Southern California, U.S.A.<br>
· Ian Taylor, Cardiff University, U.K.<br>
· Weimin Zheng, Tsinghua University, China<br>
· Hai Jin, Huazhong University of Science and Engineering, China<br>
· Wanchun Dou, Nanjing University, China<br>
· Hui Zhang, National Science and Technology Infrastructure, China<br>
</div>
<div>Program Committee<br>
· Shawn Bowers, Gonzaga University, U.S.A.<br>
· Douglas Thain, University of Notre Dame, U.S.A.<br>
· Ian Gorton, Pacific Northwest National Laboratory, U.S.A.<br>
· Artem Chebotko, University of Texas at Pan American, U.S.A.<br>
· Weisong Shi, Wayne State University, U.S.A.<br>
· Paolo Missier, Newcastle University, U.K.<br>
· Wei Tan, IBM T. J. Watson Research Center, U.S.A.<br>
· Jianwu Wang, San Diego Super Computer Center, U.S.A.<br>
· Ping Yang, Binghamton University, U.S.A.<br>
· Jian Guo, Harvard University, U.S.A.<br>
· Liqiang Wang, University of Wyoming, U.S.A.<br>
· Paul Groth, VU University Amsterdam, the Netherlands<br>
· Zhiming Zhao, University of Amsterdam, the Netherlands<br>
· Marta Mattoso, Federal University of Rio de Janeiro, Brazil<br>
· Mostafa Ezziyyani, Abdelmalek Essaâdi Univeristy, Morocco<br>
· Wenhong Tian, University of Electronic Science and Technology of
China, China<br>
· Ruini Xue, Tsinghua University, China<br>
· Jian Cao, Shanghai Jiaotong University, China<br>
· Jianxun Liu, Hunan University of Science and Technology, China<br>
· Song Zhang, Chinese Academy of Sciences, China<br>
· Hua Hu, Hangzhou Dianzi University, China</div>
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