Virtual resources allocation for workflow-based applications distribution on a cloud infrastructure

Abstract—Cloud computing infrastructures are providing re-sources on demand for tackling the needs of large-scale dis-tributed 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 ap-plication 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 makespan. Index Terms—cloud infrastructures, resources allocation, workflows I