Adaptive workflow processing and execution in Pegasus

Tools

Lee, K. ORCID: 0000-0002-2730-9150, Paton, N.W., Sakellariou, R., Deelman, E., Fernandes, A.A.A. and Mehta, G., 2009. Adaptive workflow processing and execution in Pegasus. Concurrency and Computation: Practice and Experience, 21 (16), pp. 1965-1981. ISSN 1532-0626

Preview

Text
221167_PubSub2780_Lee_K.pdf
Download (328kB) | Preview

Official URL: http://dx.doi.org/10.1002/cpe.1446

Abstract

Workflows are widely used in applications that require coordinated use of computational resources. Workflow definition languages typically abstract over some aspects of the way in which a workflow is to be executed, such as the level of parallelism to be used or the physical resources to be deployed. As a result, a workflow management system has responsibility for establishing how best to execute a workflow given the available resources. The Pegasus workflow management system compiles abstract workflows into concrete execution plans, and has been widely used in large-scale e-Science applications. This paper describes an extension to Pegasus whereby resource allocation decisions are revised during workflow evaluation, in the light of feedback on the performance of jobs at runtime. The contributions of this paper include: (i) a description of how adaptive processing has been retrofitted to an existing workflow management system; (ii) a scheduling algorithm that allocates resources based on runtime performance; and (iii) an experimental evaluation of the resulting infrastructure using grid middleware over clusters.

Item Type:

Journal article

Description:

Special issue: 3rd International Workshop on Workflow Management and Applications in Grid Environments (WaGe2008).

Publication Title:

Concurrency and Computation: Practice and Experience

Creators:

Lee, K., Paton, N.W., Sakellariou, R., Deelman, E., Fernandes, A.A.A. and Mehta, G.

Publisher:

John Wiley & Sons Ltd.

Date:

2009