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We propose a new optimal data placement technique to improve the performance of MapReduce in cloud data centers by considering not only the data locality but also the global data access costs. We first conducted an analytical and experimental study to identify the performance issues of MapReduce in data centers and to show that MapReduce tasks that are involved in unexpected remote data access have...
We propose a novel optimal data placement technique considering not only the data locality but also the global data access cost to improve the performance of MapReduce in cloud data centers. We first conducted analytical and experimental study to identify the performance issues of MapReduce in data center and show that MapReduce tasks which are involved in unexpected remote data access take much more...
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