In this paper, we propose a data placement strategy to deal with the imbalanced workload problem on DataNodes. Basing on computing capability of each node in a heterogeneous Hadoop cluster, the proposed strategy can balance the data that was stored in the DataNode such that the cost of data transfer time can be tremendously reduced. As a result, the Hadoop overall performance can be greatly improved. Experimental results demonstrate that the proposed data placement strategy can highly decrease the execution time and thus improves Hadoop performance in a heterogeneous cluster.
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