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Virtual Resources Allocation for Workflow-Based Applications Distribution on a Cloud Infrastructure

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2 Author(s)
Huu, T.T. ; I3S Lab., Univ. of Nice-Sophia Antipolis, Sophia Antipolis, France ; Montagnat, J.

Cloud computing infrastructures are providing resources on demand for tackling the needs of large-scale distributed applications. Determining the amount of resources to allocate for a given computation is a difficult problem though. This paper introduces and compares four automated resource allocation strategies relying on the expertise that can be captured in workflow-based applications. The evaluation of these strategies was carried out on the Aladdin/Grid'5000 testbed using a real application from the area of medical image analysis. Experimental results show that optimized allocation can help finding a trade-off between amount of resources consumed and applications make span.

Published in:

Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on

Date of Conference:

17-20 May 2010