A High-Level Distributed Execution Framework for Scientific Workflows

Author

Wang, Jianwu ; Altintas, Ilkay ; Berkley, Chad ; Gilbert, Lucas ; Jones, Matthew B.

Author_Institution

San Diego Supercomput. Center, UCSD, San Diego, CA, USA

fYear

2008

fDate

7-12 Dec. 2008

Firstpage

634

Lastpage

639

Abstract

Domain scientists synthesize different data and computing resources to solve their scientific problems. Making use of distributed execution within scientific workflows is a growing and promising way to achieve better execution performance and efficiency. This paper presents a high-level distributed execution framework, which is designed based on the distributed execution requirements identified within the Kepler community. It also discusses mechanisms to make the presented distributed execution framework easy-to-use, comprehensive, adaptable, extensible and efficient.

Keywords

grid computing; natural sciences computing; workflow management software; Kepler community; grid workflows; high-level distributed execution framework; scientific workflow management systems; Biological system modeling; Collaborative work; Computer architecture; Distributed computing; Network synthesis; Peer to peer computing; Remote monitoring; Supercomputers; User interfaces; Workflow management software; Distributed Execution; Scientific Workflows;

fLanguage

English

Publisher

ieee

Conference_Titel

eScience, 2008. eScience '08. IEEE Fourth International Conference on

Conference_Location

Indianapolis, IN

Print_ISBN

978-1-4244-3380-3

Electronic_ISBN

978-0-7695-3535-7

Type

conf

DOI

10.1109/eScience.2008.166

Filename

4736877