Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2011-02-16
2010 11th IEEE/ACM International Conference on Grid Computing (GRID), pp 313 - 320
Computer Science
Distributed, Parallel, and Cluster Computing
8 pages, 11 figures, 2010 11th IEEE/ACM International Conference on Grid Computing (GRID), pp 313 - 320 (E2GC2-2010 workshop)
Scientific paper
10.1109/GRID.2010.5697986
With the increasing popularity of Internet-based services and applications, power efficiency is becoming a major concern for data center operators, as high electricity consumption not only increases greenhouse gas emissions, but also increases the cost of running the server farm itself. In this paper we address the problem of maximizing the revenue of a service provider by means of dynamic allocation policies that run the minimum amount of servers necessary to meet user's requirements in terms of performance. The results of several experiments executed using Wikipedia traces are described, showing that the proposed schemes work well, even if the workload is non-stationary. Since any resource allocation policy requires the use of forecasting mechanisms, various schemes allowing compensating errors in the load forecasts are presented and evaluated.
Dyachuk Dmytro
Mazzucco Michele
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