Research on Pagerank Algorithm Based on Mapreduce

CHEN Gong; NIU Qin-zhou

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Research on Pagerank Algorithm Based on Mapreduce

更新时间：2026-09-04

- Research on Pagerank Algorithm Based on Mapreduce
- Vol. 29, Issue 5, Pages: 81-85(2012)
- 作者机构：
  
  桂林理工大学机构信息科学与工程学院,广西,桂林,541004
- 作者简介：
- 基金信息：
- DOI：
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- Published：2012
- 稿件说明：
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陈宫, 牛秦洲. 基于MapReduce的PageRank算法的研究[J]. 微电子学与计算机, 2012, 29(5): 81-85.

CHEN Gong, NIU Qin-zhou. Research on Pagerank Algorithm Based on Mapreduce[J]. 2012, 29(5): 81-85.
陈宫, 牛秦洲. 基于MapReduce的PageRank算法的研究[J]. 微电子学与计算机, 2012, 29(5): 81-85. DOI：

CHEN Gong, NIU Qin-zhou. Research on Pagerank Algorithm Based on Mapreduce[J]. 2012, 29(5): 81-85. DOI：

摘要

在对PageRank算法进行研究的基础上

利用MapReduce编程模型思想对PageRank算法进行改进

设计了在云平台Hadoop环境下运行的基于MapReduce的PageRank分布式并行算法

并在实验中对不同规模的Web图数据集进行了测试

分析不同的Blocksize参数对于算法计算性能的作用以及集群节点数目对于算法运行效率的影响.

Abstract

PageRank algorithm is improved by MapReduce programming model based on research of PageRank

so the PageRank distributed parallel algorithm based on MapReduce is designed in the cloud platform Hadoop

which is used to test different web graphs datasets in experiment.At end

the impacts of different blocksize parameters to computing performance and numbers of nodes of the computer cluster to operational efficiency are analyzed.

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