PageRank在Hadoop和Giraph上的效率实验

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI:10.1109/PDP.2016.49

Arne Koschel, Felix Heine, Irina Astrova, Fred Korte, Thomas Rossow, Sebastian Stipkovic

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引用次数: 7

摘要

本文比较了两种实现PageRank算法的效率，一种是使用Hadoop的MapReduce，另一种是使用Giraph的Pregel。根据CPU使用情况、CPU I/O等待时间、内存使用情况和执行时间对实现进行评估。评估的结果是，Giraph优于Hadoop。

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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Efficiency Experiments on Hadoop and Giraph with PageRank

This paper compares the efficiency of two implementations of the PageRank algorithm, one using Hadoop's MapReduce and the other Giraph's Pregel. The implementations are evaluated against CPU usage, CPU I/O wait time, memory usage, and execution time. The result of the evaluation is that Giraph outperforms Hadoop.

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2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)

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