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有附件MapReduce

文献技术官 添加于 2011-6-5 19:58 | 1914 次阅读 | 0 个评论
  •  作 者

    Dean J, Ghemawat S
  •  摘 要

    MapReduce is a programming model and an associated implementation for processing and generating large datasets that is amenable to a broad variety of real-world tasks. Users specify the computation in terms of a map and a reduce function, and the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks. Programmers find the system easy to use: more than ten thousand distinct MapReduce programs have been implemented internally at Google over the past four years, and an average of one hundred thousand MapReduce jobs are executed on Google's clusters every day, processing a total of more than twenty petabytes of data per day.
  •  详细资料

    • 文献种类: Journal Article
    • 副标题: simplified data processing on large clusters
    • 期刊名称: Communications of the ACM
    • 期刊缩写: Commun. ACM
    • 期卷页: 2008  51 1 107
    • ISBN: 0001-0782
  • 学科领域 信息系统 » 计算机科学

  • 相关链接 DOI URL 

  •  附 件

    PDF附件MapReduce 
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