2012•Unpublished venueRequires access

FlowS:A Fair Scheduling Method for Mapreduce Dataflow

XU Shu-ren

Abstract

MapReduce Job scheduling has been paid great attention in academic research.Based on the analysis of MapReduce dataflow scheduling model,this paper presented a fair scheduling method for MapReduce dataflow-FlowS.This method can not only provide the isolation of MapReduce dataflow through dataflow pools,but also assure the fairness of resource allocation through dynamic construction algorithm.The results of experiences show that the proposed method can improve the processing efficiency of Hadoop Clusters.

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Key concepts: Dataflow, Computer science, Dataflow architecture, Scheduling (production processes), Parallel computing, Distributed computing, Mathematical optimization, Mathematics