Pegasus: A framework for mapping complex scientific workflows onto distributed systems

Ewa Deelman; Gurmeet Singh; Mei Hui Su; James Blythe; Yolanda Gil; Carl Kesselman; Gaurang Mehta; Karan Vahi; G. Bruce Berriman; John Good; Anastasia Laity; Joseph C. Jacob; Daniel S. Katz

doi:10.1155/2005/128026

Pegasus: A framework for mapping complex scientific workflows onto distributed systems

Ewa Deelman, Gurmeet Singh, Mei Hui Su, James Blythe, Yolanda Gil, Carl Kesselman, Gaurang Mehta, Karan Vahi, G. Bruce Berriman, John Good, Anastasia Laity, Joseph C. Jacob, Daniel S. Katz

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	219-237
Number of pages	19
Journal	Scientific Programming
Volume	13
Issue number	3
DOIs	https://doi.org/10.1155/2005/128026
State	Published - 2005
Externally published	Yes

ASJC Scopus subject areas

Software
Computer Science Applications

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10.1155/2005/128026

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AU - Blythe, James

AU - Gil, Yolanda

AU - Kesselman, Carl

AU - Mehta, Gaurang

AU - Vahi, Karan

AU - Berriman, G. Bruce

AU - Good, John

AU - Laity, Anastasia

AU - Jacob, Joseph C.

AU - Katz, Daniel S.

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Pegasus: A framework for mapping complex scientific workflows onto distributed systems

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