【摘 要】
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MapReduce consisting of map and reduce functions,as a flexible computation model has been wildly used in processing the scale of terabytes or higher data se
【出 处】
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第七届国际博士生论坛暨青年教师发展研讨会
论文部分内容阅读
MapReduce consisting of map and reduce functions,as a flexible computation model has been wildly used in processing the scale of terabytes or higher data sets in a distributed cluster,such as access log analysis,document clustering and other forms of data analytic.Skew,tasks exhibit large variance in size or processing cost,is a common MapReduce performance problem,caused by the user specify or default partition function in processing intensive data.
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