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Co-locating the computation as close as possible to the data is an important consideration in the current data intensive systems. This is known as data locality problem. In this paper, we analyze the impact of data locality on YARN, which is the new version of Hadoop. We investigate YARN delay scheduler behavior with respect to data locality for a variety of workloads and configurations. We address...
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