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Rizwan Mian, Patrick Martin, Farhana Zulkernine, J.L. Vazquez-Poletti. Estimating Resource Costs of Data-intensive Workloads in Public Clouds. In 10th International Workshop on Middleware for Grids, Clouds and e-Science (MGC'12) on the 13th ACM/IFIP/USENIX International Conference on Middleware (Middleware2012), MGC '12, 2012.
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 ]
@InProceedings{MMFV12ERCDW,
Author = {Mian, Rizwan and Martin, Patrick and Zulkernine, Farhana and Vazquez-Poletti, J.L.},
Title = {Estimating Resource Costs of Data-intensive Workloads in Public Clouds},
BookTitle = {10th International Workshop on Middleware for Grids, Clouds and e-Science (MGC'12) on the 13th ACM/IFIP/USENIX International Conference on Middleware (Middleware2012)},
Series = {MGC '12},
Publisher = {ACM},
Year = {2012}
}