On Minimizing the Makespan of a Set of Offline MapReduce Jobs

Majun He, Wenxia Guo, Houwen Huang, Bo He, Jing Wang, Wenhong Tian
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Abstract

There are quite a few algorithms on minimizing the makespan of a set of offline MapReduce jobs. However, these algorithms are heuristic or suboptimal. The best-known algorithm for minimizing the makespan is 3-approximation by applying Johnson model. In this paper, we evaluate three algorithms in terms of approximation, computational complexity, stability and optimal configuration of the underline cluster for the first time.
最小化一组离线MapReduce作业的Makespan
有相当多的算法可以最小化一组离线MapReduce作业的最大完成时间。然而,这些算法是启发式的或次优的。最小化完工时间最著名的算法是应用Johnson模型的3-逼近算法。本文首次从逼近性、计算复杂度、稳定性和最优配置等方面对三种算法进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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