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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Allocating QoS-Constrained Workflow-Based Jobs in a Multi-cluster Grid Through Queueing Theory Approach
verfasst von : Yash Patel, John Darlington
Erschienen in: Parallel and Distributed Processing and Applications
Verlag: Springer Berlin Heidelberg
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Clusters are increasingly interconnected to form multi-cluster systems, which are becoming popular for scientific computation. End-users often submit their applications in the form of workflows with certain Quality of Service (QoS) requirements imposed on the workflows. These workflows describe the execution of a complex application built from individual application components, which form the workflow tasks. This paper addresses workload allocation techniques for Grid workflows. We model individual clusters as
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queues and obtain a numerical solution for missed deadlines (failures) of tasks of Grid workflows. The approach is evaluated through an experimental simulation and the results confirm that the proposed workload allocation strategy combined with traditional scheduling algorithms performs considerably better in terms of satisfying QoS requirements of Grid workflows than scheduling algorithms that don’t employ such workload allocation techniques.