Locality-aware resource allocation for cloud computing
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United States of America Patent
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Mar 3, 2015
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app pub date -
May 25, 2012
filing date -
May 25, 2012
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Abstract
Computing resource allocation for map-reduce job execution comprises determining the volume of input data to the map-phase and the reduce-phase of a map-reduce job prior to execution. Based on said determination, data blocks and virtual machines (VMs) are selectively placed for locality aware map-reduce job execution on a cluster of computing nodes in a network. Selectively placing data blocks and VMs comprises integrally placing the data and the VMs at selected nodes to lower data transfer network hops for a map-phase and a shuffle-phase of the map-reduce job upon execution by the VMs.
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