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IOS Press, Scientific Programming, 3(13), p. 219-237

DOI: 10.1155/2005/128026

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Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems

Journal article published in 2005 by Ewa Deelman, Gurmeet Singh, Mei-Hui Su, James Blythe, Yolanda Gil, Carl Kesselman, Gaurang Mehta, Karan Vahi, G. Bruce Berriman, G. Bruce Berriman, John Good, Anastasia C. Laity, Joseph C. Jacob, Daniel S. Katz ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

This paper describes the Pegasus framework that can be used to map complex scientific workflows onto distributed resources. Pegasus enables users to represent the workflows at an abstract level without needing to worry about the particulars of the target execution systems. The paper describes general issues in mapping applications and the functionality of Pegasus. We present the results of improving application performance through workflow restructuring which clusters multiple tasks in a workflow into single entities. A real-life astronomy application is used as the basis for the study.