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

Authors:
Tram Truong Huu;Johan Montagnat
Affiliations:
-;-
Venue:
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Year:
2010

Citing 11
Cited 1

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Abstract

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.