Dissemin is shutting down on January 1st, 2025

Published in

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

DOI: 10.1155/2005/128026

Links

Tools

Export citation

Search in Google Scholar

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.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

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.