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The energy efficiency of cloud computing has recently attracted a great deal of attention. As a result of raised expectations, cloud providers such as Amazon and Microsoft have started to deploy a new IaaS service, a MapReduce-style virtual cluster, to process data-intensive workloads. Considering that the IaaS provider supports multiple pricing options, we study batch-oriented consolidation and online...
Power consumption of datacenters, especially of large-scale systems, has a growing concern nowadays due to economic and ecological reasons. In this paper, we propose a power-aware mechanism based on DVS that takes into account energy conservation of homogenous clusters and schedulability of deadline-constrained tasks. Although power-aware real-time scheduling heuristics have been intensively studied...
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