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

Author:

Deelman Ewa1,Singh Gurmeet1,Su Mei-Hui1,Blythe James1,Gil Yolanda1,Kesselman Carl1,Mehta Gaurang1,Vahi Karan1,Berriman G. Bruce2,Good John2,Laity Anastasia2,Jacob Joseph C.3,Katz Daniel S.3

Affiliation:

1. University of Southern California Information Sciences Institute, CA, USA

2. Infrared Processing and Analysis Center, California Institute of Technology, CA, USA

3. Jet Propulsion Laboratory, California Institute of Technology, CA, USA

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.

Funder

National Science Foundation

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

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