Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems
Scientific Programming2005Vol. 13(3), pp. 219–237
Citations Over TimeTop 1% of 2005 papers
Ewa Deelman, Gurmeet Singh, Mei-Hui Su, James M. Blythe, Yolanda Gil, Carl Kesselman, Gaurang Mehta, Karan Vahi, G. Bruce Berriman, John Good, A. C. Laity, Joseph C. Jacob, Daniel S. Katz
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.
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