IEEE 2011 Fifth International Workshop on Scientific Workflows (SWF 2011)

Washington DC, USA, one day between July 4-9, 2011

in conjunction with IEEE ICWS 2011, SCC 2011, CLOUD 2011, and SERVICES 2011  





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. A scientific workflow management system (SWFMS) is a system that supports the specification, modification, execution, failure handling, and monitoring of a scientific workflow using the workflow logic to control the order of executing workflow tasks. The importance of scientific workflows has been recognized by NSF since 2006 and was reemphasized recently in an science article titled "Beyond the Data Deluge" (Science, Vol. 323, no. 5919, pp. 1297-1298, 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."

An emerging trend in scientific workflow management research and systems is the convergence of concepts, techniques, and tools from both scientific workflow and enterprise workflow areas. Although scientific workflow systems and enterprise workflow areas have evolved in parallel, each has adopted and incorporated the best practices and ideas from the other area. One of the main areas of interest is this emerging convergence. A concrete example is the leverage of enterprise workflow tools and systems in solving scientific/engineering workflow problems, particularly in data centers and cloud computing environments. In response to this trend, this year, we like to expand the scope of SWF to include topics for enterprise workflows as well to foster the interaction between these two areas.

The First IEEE International Workshop on Scientific Workflows (SWF 2007) was launched at Salt Lake city, Utah, as part of the First IEEE World Congress on Services (SERVICES 2007), in conjunction with IEEE SCC/ICWS 2007, attracting around 20 attendants including 5 presenters and a dozen of submissions. SWF 2008 was held in Honolulu, Hawaii, in conjunction with IEEE SCC, with around 25 attendants including 9 presenters (3 of them were invited speakers) and a dozen of submissions. SWF 2009 was held in Los Angeles, CA, in conjunction with IEEE ICWS, with around 30 attendants including 20 presenters (10 for regular papers, and 10 for short papers). SWF 2009 also enjoyed the event of the launch of the first IEEE International Conference on Cloud Computing (CLOUD 2009). SWF 2010 was held in Miami, Florida, with around 25 attendants (9 papers), in conjunction with IEEE CLOUD/ICWS/SCC.

List of topics

§  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 service workflow management and enterprise services computing

§   Enterprise workflow cooperation and collaboration

Important dates

The important dates for the workshop are the same as those listed for the work-in-progress track of SERVICES 2011: ( However, workshop chairs can grant extension to individuals under special circumstances provided that the hard deadline for the camera-ready version is respected.

Paper submission

Authors are invited to submit full papers (about 8 pages) or short papers (about 4 pages) as per IEEE 8.5 x 11 manuscript guidelines ( All papers should be in PDF and submitted via the submission system at . First time users need to register with the system first. All the accepted papers by the workshops will be included in the Proceedings of the Seventh IEEE 2011 World Congress on Services (SERVICES 2011) which will be published by IEEE Computer Society.

Workshop chairs

·       Shiyong Lu, Wayne State University, USA, Email:

·       Calton Pu, Georgia Tech, USA, Email:

Publicity chairs

·       Ilkay Altintas, San Diego Supercomputer Center, USA

·       Yong Zhao, University of Electronic Science and Technology of China, PR China

·       Paolo Missier, University of Manchester, UK

Publication chair

·       Xubo Fei, Wayne State University, USA

Program committee

·       Jamal Alhiyafi, University of Dammam, Saudi Arabia

·       Ilkay Altintas, San Diego Supercomputer Center, U.S.A.

·       Roger Barga, Microsoft Research, U.S.A.

·       Adam Barker, University of St Andrews, U.K.

·       Adam Belloum, University of Amsterdam, the Netherlands

·       Shawn Bowers, Gonzaga University, U.S.A.

·       Bin Cao, Teradata Corporation, U.S.A.

·       Artem Chebotko, University of Texas at Pan American, U.S.A.

·       Jinjun Chen, Swinburne University of Technology, Australia

·       Susan Davidson, University of Pennsylvania, U.S.A.

·       Thomas Fahringer, University of Innsbruck, Austria

·       Hasan Jamil, Wayne State University, U.S.A.

·       Carole Goble, University of Manchester, U.K.

·       Ian Gorton, Pacific Northwest National Laboratory, U.S.A.

·       Paul Groth, University of Amsterdam, the Netherlands

·       Zoe Lacroix, Arizona State University, U.S.A.

·       Cui Lin, Valdosta State University, U.S.A.

·       Marta Mattoso, Federal University of Rio de Janeiro, Brazil

·       Paolo Missier, University of Manchester, U.K.

·       Ioan Raicu, Illinois Institute of Technology, U.S.A.

·       Yogesh Simmhan, University of Southern California, U.S.A.

·       Wei Tan, IBM T. J. Watson Research Center, U.S.A.

·       Ian Taylor, Cardiff University, U.K.

·       Liqiang Wang, University of Wyoming, U.S.A.

·       Jianwu Wang, San Diego Super Computer Center, U.S.A.

·       Ping Yang, Binghamton University, U.S.A.

·       Ustun Yildiz, UC Davis, U.S.A.

·       Jia Zhang, Northern Illinois University, U.S.A.

·       Yong Zhao, University of Electronic Science and Technology of China, P.R. China

·       Zhiming Zhao, University of Amsterdam, the Netherlands