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

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

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 genera...

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Veröffentlicht in:Scientific programming 2005-01, Vol.13 (3), p.219-237
Hauptverfasser: Deelman, Ewa, Singh, Gurmeet, Su, Mei-Hui, Blythe, James, Gil, Yolanda, Kesselman, Carl, Mehta, Gaurang, Vahi, Karan, Berriman, G. Bruce, Good, John, Laity, Anastasia, Jacob, Joseph C., Katz, Daniel S.
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container_end_page 237
container_issue 3
container_start_page 219
container_title Scientific programming
container_volume 13
creator Deelman, Ewa
Singh, Gurmeet
Su, Mei-Hui
Blythe, James
Gil, Yolanda
Kesselman, Carl
Mehta, Gaurang
Vahi, Karan
Berriman, G. Bruce
Good, John
Laity, Anastasia
Jacob, Joseph C.
Katz, Daniel S.
description 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.
doi_str_mv 10.1155/2005/128026
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title Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems
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