Call for Papers
IEEE 2010 Fourth International Workshop on Scientific Workflows (SWF 2010)
http://www.cs.wayne.edu/~shiyong/swf
Miama, Florida, U.S.A., one day between July 5-10, 2010
In conjunction with IEEE ICWS/SCC/CLOUD/SERVICES 2010
Description
Scientific workflows have become an increasingly popular paradigm for scientists to
formalize and structure complex scientific processes to enable and accelerate many
significant scientific discoveries. A scientific workflow is a formal specification
of a scientific process, which represents, streamlines, and automates the analytical
and computational steps that a scientist needs to go through from dataset selection
and integration, computation and analysis, to final data product presentation and
visualization. The importance of scientific workflows has been recognized by NSF
since 2006 and was reemphasized recently in a science article
titled "Beyond the Data Deluge"(Science, Vol. 323. no. 5919, pp. 1297 ¨C 1298, 2009),
which concluded, "In the future, the rapidity with which any given discipline advances
is likely to depend on how well the community acquires the necessary expertise in database,
workflow management, visualization, and cloud computing technologies."
The goal of SWF 2010 is to provide a forum for researchers and practitioners to present
their recent research results and best practices of scientific workflows, and identify
the emerging trends, opportunities, problems, and challenges in this area.
Authors are invited to submit regular papers (8 pages) and short papers (4 pages)
that show original unpublished research results in all areas
of scientific workflows. Topics of interest are listed below; however, submissions
on all aspects of scientific workflows are welcome.
Accepted SWF 2010 papers will be included in the proceedings of IEEE SERVICES 2010,
which will be published by IEEE Computer Society Press.
Topics
o Scientific workflow provenance management and analytics
o Scientific workflow data, metadata, service, and task management
o Scientific workflow architectures, models, and languages
o Scientific workflow monitoring, debugging, and failure handling
o Streaming data processing in scientific workflows
o Pipelined, data, workflow, and task parallelism in scientific workflows
o Service, Grid, or Cloud-based scientific workflows
o Data, metadata, compute, user-interaction, or visualization-intensive scientific workflows
o Scientific workflow composition
o Security issues in scientific workflows
o Data integration and service integration in scientific workflows
o Scientific workflow mapping, optimization, and scheduling
o Scientific workflow modeling, simulation, analysis, and verification
o Scalability, reliability, extensibility, agility, and interoperability
o Scientific workflow applications
Important dates
Paper Submission March 17, 2009
Decision Notification (Electronic) April 17, 2009
Camera-Ready Submission & Pre-registration April 30, 2009
Workshop chairs:
Shiyong Lu, Wayne State University
Calton Pu, Georgia Tech
Liqiang Wang, University of Wyoming
Publication chairs (pending)
Ilkay Altintas, San Diego Supercomputer Center
Yogesh Simmhan, Microsoft Research
Ioan Raicu, Northwestern University
Publicity chair
Jamil alhiyafi, Wayne State University
Program committee
Ilkay Altintas, San Diego Supercomputer Center, USA
Roger Barga, Microsoft Research, USA
Adam Barker, University of Oxford, UK
Shawn Bowers, UC Davis Genome Center, USA
Artem Chebotko, University of Texas at Pan American, USA
Ian Gorton, PNNL
Paul Groth, VU University Amsterdam
Marta L. Queirós Mattoso, Federal University of Rio de Janeiro, Brazil
Luc Moreau, University of South Hampton, UK
Ioan Raicu, Northwestern University, USA
Yogesh Simmhan, Microsoft Corporation, USA
Chung-Wei Hang, North Carolina State University, USA
Ian Taylor, Cardiff University, UK
Jianwu Wang, San Diego Supercomputer Center
Wei Tan, ANL
Ping Yang, Binghamton University, USA
Ustun Yildiz, UC Davis
Yong Zhao, Microsoft Corporation, USA
Zhiming Zhao, University of Amsterdam, the Netherlands
For any questions, please send e-mails to Shiyong Lu at shiyong@xxxxxxxxx.
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