MMFV12ERCDW
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.
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
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BibTex Reference
@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}
}