RmPmFzJLV13ERCEDW

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.

Abstract

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

Keywords

[ Medianet ] [ Tin2012-31518 ] [ Cloud ]

Contact

Jose Luis Vazquez-Poletti

BibTex Reference

@TechReport{RmPmFzJLV13ERCEDW,
   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}
}