Towards a cost-efficient MapReduce: Mitigating power peaks for Hadoop clusters
Nan Zhu Xue Liu Jie Liu and Yu Hua
In this paper, we take Hadoop as an example to illustrate the power peak problem which causes power inefficiency and provides in-depth analysis to explain issues with existing system designs. We propose a novel power capping module in the Hadoop scheduler to mitigate power peaks. Extensive simulation studies show that our proposed solution can effectively smooth the power consumption curve and mitigate temporary power peaks for Hadoop clusters.