FlowS:A Fair Scheduling Method for Mapreduce Dataflow
XU Shu-ren · 2012
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.