View source for SWF 2008

{{Event
 | Acronym = SWF 2008
 | Title = 2008 Second IEEE International Workshop on Scientific Workflows
 | Type = Workshop
 | Series = 
 | Field = Distributed computing
 | Homepage = www.cs.wayne.edu/~shiyong/swf2008
 | Start date = Jul 8, 2008 
 | End date =  Jul 8, 2008
 | City= Honolulu
 | State =  Hawaii
 | Country =  USA
 | Abstract deadline = 
 | Submission deadline = Mar 2, 2008
 | Notification = Apr 2, 2008
 | Camera ready = 
}}

<pre>
2008 Second IEEE International Workshop on Scientific Workflows (SWF 2008)
In conjunction with 2008 IEEE International Conference on Services Computing
Honolulu, Hawaii, U.S.A., July 8, 2008
http://www.cs.wayne.edu/~shiyong/swf2008/
Sponsored by IEEE Computer Society
Technical Committee on Services Computing (http://tab.computer.org/tcsc)

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.

ist of topics
 o Service-oriented scientific workflows and workflow-based Web services
 o Security of Web services and scientific workflows
 o Data integration and service integration in scientific workflows
 o Application service management in scientific workflows
 o Data service management in scientific workflows
 o Scientific workflow architectures, models, and languages
 o Grid workflow management
 o Scientific workflow mapping, optimization, and scheduling
 o Scientific workflow modeling, verification, and validation
 o Scientific workflow provenance management
 o Workflow and provenance mining and analysis
 o Scalability, reliability, extensibility, agility, and interoperability
 o Scientific workflow real-life applications



Important dates
 o Regular paper (8 pages) March 2, submission due.
 o Short papers (4 pages) and demo papers (2 pages), March 15, submission d=
ue.
 o April 2, 2008, decision notification.
 o April 15, 2008, camera-ready version due.


Paper submissions

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.


Workshop chairs
 o Shiyong Lu, Wayne State University, Email: shiyong@wayne.edu
 o Calton Pu, Georgia Tech

Publication chair
 o Yong Zhao, Microsoft Corporation, Email: yozha@microsoft.com

Publicity chair
 o Artem Chebotko, Wayne State University, Email: artem@wayne.edu

*** For any questions, please e-mail the workshop chair Shiyong Lu: shiyong@wayne.edu. ***

	</pre>This CfP was obtained from [http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=2231&amp;copyownerid=421 WikiCFP][[Category:Distributed computing]]
Acronym	SWF 2008 +
End date	July 8, 2008 +
Event type	Workshop +
Has coordinates	21° 18' 16", -157° 51' 20"Latitude: 21.304547222222 Longitude: -157.85567777778 +
Has location city	Honolulu +
Has location country	Category:USA +
Has location state	Hawaii +
Homepage	http://www.cs.wayne.edu/~shiyong/swf2008 +
IsA	Event +
Notification	April 2, 2008 +
Start date	July 8, 2008 +
Submission deadline	March 2, 2008 +
Title	2008 Second IEEE International Workshop on Scientific Workflows +