<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><div>#############################################################################</div><div> CALL FOR PAPERS</div><div><br></div><div> IEEE 2013 7th International Workshop on Scientific Workflows:</div><div> Advances in Workflows addressing the Big Data Challenge (SWF 2013)</div><div> <a href="http://www.servicescongress.org/2013/swf.html">http://www.servicescongress.org/2013/swf.html</a></div><div><br></div><div>#############################################################################</div><div><br></div><div>One day between June 27-July 2 2013, Santa Clara Marriott, CA, USA (Center of </div><div>Silicon Valley) within IEEE SERVICES 2013</div><div><br></div><div>###############</div><div># Description #</div><div>###############</div><div><br></div><div>Today, many science and engineering disciplines have become increasingly data-</div><div>intensive. Massively complex new instruments and simulators are generating </div><div>massive data sets that are described as big data. For example, in Physics, the </div><div>Large Hadron Collider will eventually generate about 15 petabytes (1 petabye is </div><div>about 1,000,000 gigabyes) of data per year. In neuroscience, a complete map of </div><div>the brain's neural circuitry would generate about 1000 exabytes (an exabyte is </div><div>about 1000 petabytes). The coming data deluge poses great challenges to the </div><div>whole lifecycle of data management, from data collection, data storage, to data </div><div>processing and visualization. In the meanwhile, workflow has become a popular </div><div>paradigm for scientists and engineers to formalize and structure complex </div><div>processes to solve increasingly data-intensive scientific and engineering </div><div>problems. The importance of workflow is well recognized by NSF as well as by </div><div>numerous workshops. As a recent Science article concluded, "In the future, the </div><div>rapidity with which any given discipline advances is likely to depend on how </div><div>well the community acquires the necessary expertise in database, workflow </div><div>management, visualization, and cloud computing technologies."</div><div><br></div><div>The theme of this year's SWF workshop is "Advances in Workflows addressing the </div><div>Big Data Challenge", recognizing the big data challenge in scientific workflows. </div><div>Built upon the successful history of SWF, since 2007, this year, we broaden the </div><div>scope of SWF to include big data oriented workflows, soliciting papers to share </div><div>the challenges, experiences, and lessons in applying workflow technologies to </div><div>various data-driven science and engineering problems. Topics of interests </div><div>include, but are not limited to:</div><div><br></div><div>##################</div><div># List of topics #</div><div>##################</div><div><br></div><div>* Big-data workflows</div><div>* Data-driven workflows</div><div>* Event-driven workflows</div><div>* Scientific workflow provenance management and analytics</div><div>* Scientific workflow data, metadata, service, and task management</div><div>* Scientific workflow architectures, models, languages, systems, and algorithms</div><div>* Scientific workflow monitoring, debugging, exception handling, and fault tolerance</div><div>* Streaming data processing in scientific workflows</div><div>* Pipelined, data, workflow, and task parallelism in scientific workflows</div><div>* Cloud, Service, Grid, or hybrid scientific workflows</div><div>* Data, metadata, compute, user-interaction, or visualization-intensive scientific workflows</div><div>* Semantic techniques for scientific workflows</div><div>* Scientific workflow composition</div><div>* Security issues in scientific workflows</div><div>* Data integration and service integration in scientific workflows</div><div>* Scientific workflow mapping, optimization, and scheduling</div><div>* Scientific workflow modeling, simulation, analysis, and verification</div><div>* Scalability, reliability, extensibility, agility, and interoperability</div><div>* Scientific workflow applications and case studies</div><div>* Enterprise workflow management and services computing</div><div>* Enterprise workflow cooperation and collaboration</div><div><br></div><div>###################</div><div># Important dates #</div><div>###################</div><div><br></div><div>* Full Paper Submission Due Date: March 15, 2013</div><div>* Decision Notification (Electronic): April 4, 2013</div><div>* Camera-Ready Copy Due Date & Pre-registration Due: April 15, 2013</div><div><br></div><div>Paper submission</div><div><br></div><div>Authors are invited to submit full papers (about 8 pages) or short papers (about </div><div>4 pages) as per IEEE 8.5 x 11 manuscript guidelines (download instruction). All </div><div>papers should be in PDF and submitted via at the submission system</div><div><br></div><div>Workshop chairs</div><div><br></div><div>* Liqiang Wang, <a href="mailto:wang@cs.uwyo.edu">wang@cs.uwyo.edu</a>, University of Wyoming, U.S.A.</div><div>* Mike Wu, <a href="mailto:cwu@oakland.edu">cwu@oakland.edu</a>, Oakland University, U.S.A.</div><div><br></div><div>Publicity chairs</div><div><br></div><div>* Ilkay Altintas, San Diego Supercomputer Center, USA</div><div>* Yong Zhao, University of Electronic Science and Technology of China, PR China</div><div><br></div><div>WebSite</div><div><a href="http://www.servicescongress.org/2013/swf.html">http://www.servicescongress.org/2013/swf.html</a></div><div><br></div><div>
<span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><div>-- <br>Ilkay ALTINTAS<br>Deputy Coordinator for Research, San Diego Supercomputer Center (SDSC)<br>Lab Director, Scientific Workflow Automation Technologies (SWAT @ SDSC)<br><br>University of California, San Diego<br>9500 Gilman Drive, MC: 0505 La Jolla, CA 92093-0505<br>Phone: (858) 210-5877 Fax: (858) 534-8303<br>Web: <a href="http://users.sdsc.edu/~altintas">http://users.sdsc.edu/~altintas</a><br>Skype: ilkay.altintas</div></span>
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