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MapReduce is a popular paradigm for processingbig data due to wide availability of its implementations inopen source such as Apache Hadoop. This framework isprimarily designed for optimal execution of an application ona commodity cluster of homogeneous nodes where all machinesin the cluster have identical hardware configurations. However, most organizations have surplus unused heterogeneous infrastructurewhich...
When data centers employ the common and economical practice of upgrading subsets of nodes incrementally, rather than replacing or upgrading all nodes at once, they end up with clusters whose nodes have non-uniform processing capability, which we also call performance-heterogeneity. Popular frameworks supporting the effective MapReduce programming model for Big Data applications do not flexibly adapt...
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