%0 Journal Article
%T FlowS:A Fair Scheduling Method for Mapreduce Dataflow<br>F1owS:一种MapReduce数据流公平调度方法
%A LI Qi-yuan
%A LIU Jie
%A YE Dan
%A XU Shu-ren
%A <br>李奇原
%A 刘杰
%A 叶丹
%A 许舒人
%J 计算机科学
%D 2012
%I 
%X MapReduce Job scheduling has been paid great attention in academic research. Based on the analysis ofMi1 Reduce dataflow scheduling model,this paper presented a fair scheduling method for MapReduce dataflow-F1owS. 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.
%K MapReduce dataflow
%K Resource management
%K Fair scheduling<br>MapReduce数据流
%K 资源管理
%K 公平调度方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=75AFC294F2AFDCB14D248AB3238655A5&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=9CF7A0430CBB2DFD&sid=0B4F496D54044D86&eid=8575BEDA702C4B7C&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0