[kepler-dev] Fwd: Call for Papers: IEEE 2014 8th International Workshop on Scientific Workflows

[Ilkay Altintas]

> From: Scientific Workflow <wayneswf at gmail.com>
> Subject: Call for Papers: IEEE 2014 8th International Workshop on Scientific Workflows
> Date: March 26, 2014 at 8:33:48 PM PDT
> To: The SWF Workshop <wayneswf at gmail.com>
> 
> CALL FOR PAPERS 
> 
> IEEE 2014 8th International Symposium on Scientific Workflows and Big Data Science (SWF 2014)
> http://www.cs.uwyo.edu/~lwang7/SWF2014.htm
> 
> One day between June 27-July 2 2014, Alaska, USA
> in conjunction with IEEE BigData 2014
> 
> Description
> 
> Today, many science and engineering disciplines have become increasingly data-intensive. Massively complex new instruments and simulators are generating massive data sets that are described as big data. The coming data deluge poses great challenges to the whole lifecycle of data management, from data collection, data storage, to data processing and visualization. In the meanwhile, workflow has become a popular paradigm for scientists and engineers to formalize and structure complex processes to solve increasingly data-intensive scientific and engineering problems. 
> 
> The theme of this year's SWF symposium is "Advances in Workflows addressing the Big Data Challenge", recognizing the big data challenge in scientific workflows. Built upon the successful history of SWF since 2007, this year, we broaden the scope of SWF to include big data oriented workflows, soliciting papers to share the challenges, experiences, and lessons in applying workflow technologies to various data-driven science and engineering problems. Topics of interests include, but are not limited to:
> 
> List of topics
> Big-data workflows
> Data-driven workflows
> Event-driven workflows
> Scientific workflow provenance management and analytics
> Scientific workflow data, metadata, service, and task management
> Scientific workflow architectures, models, languages, systems, and algorithms
> Scientific workflow monitoring, debugging, exception handling, and fault tolerance
> Streaming data processing in scientific workflows
> Pipelined, data, workflow, and task parallelism in scientific workflows
> Cloud, Service, Grid, or hybrid scientific workflows
> Data, metadata, compute, user-interaction, or visualization-intensive scientific workflows
> Semantic techniques for scientific workflows
> Scientific workflow composition
> Security issues in scientific workflows
> Data integration and service integration in scientific workflows
> Scientific workflow mapping, optimization, and scheduling
> Scientific workflow modeling, simulation, analysis, and verification
> Scalability, reliability, extensibility, agility, and interoperability
> Scientific workflow applications and case studies
> Enterprise workflow management and services computing
> Enterprise workflow cooperation and collaboration
> 
> Important dates
> 
> (Program chairs can grant extension to individuals under special circumstances provided that the hard deadline for the camera-ready version is respected.)
> Full Paper Submission Due Date: April 7, 2014
> Decision Notification (Electronic): April 20, 2014
> Camera-Ready Copy Due Date & Pre-registration Due: May 1, 2014
> Paper submission
> 
> Authors are invited to submit full papers (about 8 pages) or short papers (about 4 pages) as IEEE 8.5 x 11 manuscript guidelines. All papers should be in PDF and submitted via at the submission system (http://www.confhub.com/conf.php?id=352).
> 
> First time users need to register with the system first. All the accepted papers by the SWF symposium will be included in the Proceedings of the Seventh IEEE 2014 World Congress on Services (SERVICES 2014) which will be published by IEEE Computer Society.
> 
> 
> Best Regards
> 
> Workshop Chairs
> Liqiang Wang, University of Wyoming, U.S.A.
> Ilkay Altintas, University of California, San Diego, U.S.A.
> 
> --------------------------------------------------------------------------------------------------------------
> IEEE 2014 8th International Workshop on Scientific Workflows: Advances in Workflows addressing the Big Data Challenge (SWF 2014)
> http://www.cs.uwyo.edu/~lwang7/SWF2014.htm

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