Evaluating map reduce tasks scheduling algorithms over cloud computing infrastructure

Abstract

Efficiently scheduling MapReduce tasks is considered as one of the major challenges that face MapReduce frameworks. Many algorithms were introduced to tackle this issue. Most of these algorithms are focusing on the data locality property for tasks scheduling. The data locality may cause less physical resources utilization in non-virtualized clusters and… (More)
DOI: 10.1002/cpe.3595

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