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Journal of Computer Networks and Communications
Volume 2014, Article ID 529835, 15 pages
http://dx.doi.org/10.1155/2014/529835
Research Article

Bandwidth-Aware Scheduling of Workflow Application on Multiple Grid Sites

1Department of Information Technology, Dharmsinh Desai University, Nadiad, Gujarat 387001, India
2Department of Instrumentation and Control Engineering, Dharmsinh Desai University, Nadiad, Gujarat 387001, India

Received 16 May 2014; Revised 29 July 2014; Accepted 5 August 2014; Published 11 September 2014

Academic Editor: Rick Stevens

Copyright © 2014 Harshadkumar B. Prajapati and Vipul A. Shah. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Bandwidth-aware workflow scheduling is required to improve the performance of a workflow application in a multisite Grid environment, as the data movement cost between two low-bandwidth sites can adversely affect the makespan of the application. Pegasus WMS, an open-source and freely available WMS, cannot fully utilize its workflow mapping capability due to unavailability of integration of any bandwidth monitoring infrastructure in it. This paper develops the integration of Network Weather Service (NWS) in Pegasus WMS to enable the bandwidth-aware mapping of scientific workflows. Our work demonstrates the applicability of the integration of NWS by making existing Heft site-selector of Pegasus WMS bandwidth aware. Furthermore, this paper proposes and implements a new workflow scheduling algorithm—Level based Highest Input and Processing Weight First. The results of the performed experiments indicate that the bandwidth-aware workflow scheduling algorithms perform better than bandwidth-unaware algorithms: Random and Heft of Pegasus WMS. Moreover, our proposed workflow scheduling algorithm performs better than the bandwidth-aware Heft algorithms. Thus, the proposed bandwidth-aware workflow scheduling enhances capability of Pegasus WMS and can increase performance of workflow applications.