The Pegasus Project at ISI


Planning and execution in grids

Description

Pegasus is a flexible framework that enables the mapping of complex scientific workflows onto a grid. We are studying AI planning and scheduling techniques to support this mapping within the overall Pegasus project, which is led by Ewa Deelman.

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Status

The AI planner, using Prodigy, has been fully integrated with Pegasus for arbitrary domains for which an abstract workflow can be provided.

Earlier, we used the planner in creating, mapping and executing workflows in the LIGO domain.

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Research

AI planning and scheduling applied to grid environments.

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Publications

"Artificial Intelligence and Grids: Workflow Planning and Beyond", Yolanda Gil, Ewa Deelman, Jim Blythe, Carl Kesselman, Hongsuda Tangmunarunkit. In IEEE Intelligent Systems, special issue on e-science, Jan/Feb 2004

"Planning and Metadata on the Computational Grid", Jim Blythe, Ewa Deelman, Yolanda Gil. In AAAI Spring Symposium on Semantic Web Services, Palo Alto, California, USA, 2004

"Workflow Management in GriPhyN", Ewa Deelman, Jim Blythe, Yolanda Gil, Carl Kesselman. In Grid Resource Management, J. Nabrzyski, J. Schopf, and J. Weglarz editors, Kluwer, to appear, 2003

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Demo

See a demo -->

People

Yolanda Gil
Jim Blythe
Sonal Jain
Ewa Deelman
Carl Kesselman
Gaurang Mehta
Karan Vahi
Gurmeet Singh
Mei-Hui Su
Mike Wilde
Jens Voeckler

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Funding

National Science Foundation (NSF)
National Science Foundation (NSF)