> From: Scientific Workflow <[email protected]>
> 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 <[email protected]>
> 
> 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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