Hawaii,
USA, July 8, 2008
in conjunction with IEEE
International Conference on Services Computing
Today,
many scientific discoveries are achieved through complex and distributed
scientific computations that are represented and structured as scientific
workflows. User friendly scientific workflow systems are increasingly being
developed to enable e-scientists to integrate, structure, and orchestrate
various local or remote data and service resources to perform various in silico
experiments to produce interesting scientific discovery. The critical role of
scientific workflows in cyberinfrastructure bas been recognized by a
recent NSF workshop on the challenges of
scientific workflows in May 2006, which concluded that “workflows
should become first-class entities in cyberinfrastructure architecture. For
domain scientists, they are important because workflows document and manage the
increasingly complex processes involved in exploration and discovery through
computations. For computer scientists, workflows provide a formal and
declarative representation of complex distributed computations that must be
managed efficiently through their lifecycle from assembly, to execution, to
sharing.”
Although
existing workflow systems are able to support complex computations and data
repositories in a distributed environment, they do not meet the newly emerging
requirements from scientists to handle streaming data, accommodate interactive
steering, support event-driven analysis, and enable collaborative scientific
research involving many scientists across disciplines and geographically
distributed over the world. The scientific domain introduces tremendous new
requirements and challenges of which traditional workflow systems fall short.
For example, in the scientific domain, instead of executing a pre-designed
workflow, a scientist prefers to design a workflow on the fly and then run it.
Based on the results, the scientist might modify the workflow a bit, select
another dataset, change some input parameters, and then rerun the modified
workflow. Such an exploratory procedure is usually not available for business
workflows. Moreover, although logs are used in business workflows to keep track
of execution history, such information is not sufficient in the scientific
domain, where the management of provenance metadata including workflow
definitions, evolution, and execution is essential for the support of
scientific discovery reproducibility, result interpretation, and problem
diagnosis. To meet these new requirements, new workflow architectures, models,
languages, theories, and techniques need to be investigated, leading to the
recent emergence of the new field of “scientific workflows”.
Authors
are invited to submit regular papers (8 pages), short papers (4 pages), and
demo papers (2 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. For demo
papers, at least one author is expected to present a demo in the workshop
during the demo session, special arrangement will be made to meet the need of
the authors.
·
Service-oriented
scientific workflows and workflow-based Web services
·
Security
of Web services and scientific workflows
·
Data
integration and service integration in scientific workflows
·
Application
service management in scientific workflows
·
Data
service management in scientific workflows
·
Scientific
workflow architectures, models, and languages
·
Grid
workflow management
·
Scientific
workflow mapping, optimization, and scheduling
·
Scientific
workflow modeling, verification, and validation
·
Scientific
workflow provenance management
·
Workflow
and provenance mining and analysis
·
Scalability,
reliability, extensibility, agility, and interoperability
·
Scientific
workflow real-life applications
·
Regular
paper (8 pages) March 2, submission due.
·
Short
papers (4 pages) and demo papers (2 pages), March 15, submission due.
·
April
2, 2008, decision notification.
·
April
15, 2008, camera-ready version due.
See
instructions provided by the ICWS/SCC conference for all
workshops. At least one author should register for the workshop for the
accepted paper (regular, poster, or demo) to appear in the final proceedings of
the workshop.
·
Shiyong Lu, Wayne State
University, Email: shiyong@wayne.edu
· Calton Pu, Georgia Tech
· Yong Zhao, Microsoft Corporation, Email: yozha@microsoft.com
·
Artem Chebotko, Wayne State
University, Email: artem@wayne.edu
·
Ilkay
Altintas, San Diego Supercomputer Center, U.S.A.
·
Roger
Barga, Microsoft Research, U.S.A.
·
Adam
Barker, University of Edinburgh, U.K.
·
Shawn
Bowers, UC Davis Genome Center, U.S.A.
·
Hasan
Davulcu, Arizona State University, U.S.A.
·
Ewa
Deelman, USC Information Sciences Institute, U.S.A.
·
Farshad
Fotouhi, Wayne State University, U.S.A.
·
Geoffrey
Fox, Indiana University, U.S.A.
·
Juliana
Freire, University of Utah, U.S.A.
·
Dennis
Gannon, Indiana University, U.S.A.
·
Carole
Goble, University of Manchester, U.K.
·
Xiaolin
Li, Oklahoma State University, U.S.A.
·
Yogesh
Simmhan, Microsoft Corporation, U.S.A.
·
Munindar
Singh, North Carolina State University, U.S.A.
·
Ian
Taylor, Cardiff University, U.K.
·
Liqiang
Wang, University of Wyoming, U.S.A.
·
Ping
Yang, Binghamton University, U.S.A.
·
Yong
Zhao, Microsoft Corporation, U.S.A.
·
Zhiming
Zhao, University of Amsterdam, the Netherlands
· First IEEE International Workshop on Scientific Workflows (SWF07)