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摘要:Hadoop is a distributed software platform for processing big data on a large cluster, which implements core mechanism of Google’s GFS and MapR educe. The MapR educe job scheduling algorithm is one of the core technologies of Hadoop. The default job scheduler of Hadoop is FIFO, which will start the job in the order as itis submitted, and this causes the job tobe started later when itis submitted later. This paper uses the round robin with a multiple feedback algorithm tosolve this problem. With this scheduler, the job which is submitted late, will get quick response and be started without long delay. And the results of experiments on the Hadoop benchmark GridM ix indicate that this algorithm can reduce the average response time by 10%-50%.
会议名称:

2014 IEEE International Conference on Progress in Informatics and Computing

会议时间:

2014-05-16

会议地点:

中国上海

  • 专辑:

    信息科技

  • 专题:

    计算机软件及计算机应用

  • 分类号:

    TP301.6

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