[wfm-rg] Workshop on Workflows in Support of Large-Scale Science

Ewa Deelman deelman at isi.edu
Mon Dec 19 11:59:01 CST 2005


----			Apologies for duplicate copies!  -------



 
		Workshop on Workflows in Support of Large-Scale Science
 		In conjunction with HPDC 2006, June 19-23, Paris, France
 
				www.isi.edu/works06 
 
				Call for Papers

	In recent years workflows have emerged as a key technology that
enables large-scale computations on distributed resources. Workflows
enable scientists to design complex applications that are composed of
individual application components or services. Often times these
components and services are designed, developed, and tested
collaboratively. Because of the size of the data and the complexity of
the analysis, large amounts of shared resources such as clusters and
storage systems are being used to store the data sets and execute the
workflows. The process of workflow design and execution in a distributed
environment can be very complex and involve mapping high-level workflow
descriptions onto the available resources, as well as monitoring and
debugging of the subsequent execution.  Because computations and data
access operations are performed on shared resources, there is an
increased interest in managing the fair allocation and management of
those resources at the workflow level.

 	Adequate workflow descriptions are needed to support the complex
workflow management process which includes workflow creation, workflow
reuse, and modifications made to the workflow over time-for example
modifications to the individual workflow components. Additional workflow
annotations may provide guidelines and requirements for resource mapping
and execution.

	Large-scale scientific applications pose several requirements on
the workflow systems. Besides the magnitude of data processed by the
workflow components, the resulting and intermediate data need to be
annotated with provenance information and any other information needed
to evaluate the quality of the data and support the repeatability of the
analysis.
            
	The Workshop on Workflows in Support of Large-Scale Science
focuses on the entire workflow lifecycle including the workflow
composition, mapping, and robust execution. The workshop also welcomes
contributions in the applications area, where the requirements on the
workflow management systems can be derived. The topics of the workshop
include but are not limited to:

*	Workflow applications and their requirements
*	Workflow representations, including semantic workflow
descriptions
*	Applying business workflows to the scientific domain
*	Workflow composition, tools and languages
*	Workflow user environments, including portals
*	Workflow refinement tools that can manage the workflow mapping
process
*	Workflow execution in distributed environments
*	Workflow fault-tolerance and recovery techniques	
*	Data-driven workflow processing
*	Adaptive workflows
*	Workflow monitoring
*	Workflow optimizations
*	Performance analysis of workflows
*	Workflow debugging
*	Workflow provenance
*	Interleaving workflow creation and execution 
*	Interactive workflows

Papers submitted to this workshop should be in IEEE format
(ftp://pubftp.computer.org/Press/Outgoing/proceedings/) and no longer
than 10 pages.  The papers should be original and not previously
published.  Papers will be refereed and accepted on the basis of their
scientific merit and relevance to the workshop topics.  Papers presented
at the workshop will be included in the HPDC 2006 proceedings CD
(pending final decision by HPDC).  To submit the papers, please email a
PDF or Postscript to deelman at isi.edu by February 10, 2006.  

Selected authors will be invited to submit an extended version of the
paper to a special issue of the Scientific Programming Journal.

Important dates:
            Paper submission:  February 10, 2006
            Acceptance notification: March 17, 2006
            Final papers due: April 7, 2006
 
 
 
Program Committee
 
Chair: Ewa Deelman, USC Information Sciences Institute 
 
Marian Bubak		AGH Univ. of Science and Tech.
Rajkumar Buyya		University of Melbourne
Thomas Fahringer		University of Innsbruck
Ian Foster			U. of Chicago and Argonne National
Laboratory
Geoffrey Fox		Indiana University
Dennis Gannon		Indiana University
Yolanda Gil			USC/Information Sciences Institute
Carole Goble		University of Manchester
Andreas Hoheisel		Fraunhofer Institute
Peter Kacsuk		MTA Sztaki Research Institute
Tevfik Kosar 		Louisiana State University
Miron Livny			University of Wisconsin Madison
Bertram Ludaescher	UC Davis
Jarek Nabrzyski		Poznan Supercomputing and Networking Center
Johan Montagnat		CNRS
Cesare Pautasso		ETH Zurich
Rizos Sakellariou		University of Manchester
Matt Shields		Cardiff University
Ian Taylor			Cardiff University
Edward Walker		University of Texas Austin
 	 
 
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