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R. Mian, P. Martin, F. Zulkernine, J.L. Vazquez-Poletti. Estimating Resource Costs of Executing Data-Intensive Workloads in Public Clouds. Research Report Queen's University Research Report 2013-613, No 3, 2013.


The promise of "infinite" resources given by the cloud computing paradigm has led to recent interest in exploiting clouds for large-scale data-intensive computing. In this paper, we present a model to estimate the resource costs for executing data-intensive workloads in a public cloud. The cost model quantifies the cost-effectiveness of a resource configuration for a given workload with consumer performance requirements expressed as SLAs, and is a key component of a larger framework for resource provisioning in clouds. We instantiate the cost model for the Amazon cloud, and experimentally evaluate the impact of key factors on the accuracy of the model


[ Medianet ] [ Tin2012-31518 ] [ Cloud ]


Jose Luis Vazquez-Poletti

BibTex Reference

   Author = {Mian, R. and Martin, P. and Zulkernine, F. and Vazquez-Poletti, J.L.},
   Title = {Estimating Resource Costs of Executing Data-Intensive Workloads in Public Clouds},
   Number = {3},
   Institution = {Queen's University Research Report 2013-613},
   Year = {2013}

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