Research on PageRank Algorithm parallel computing Based on Hadoop

被引：0
|
作者：
Yang, Pengfei [1 ]
Zhou, Liqing [2 ]
机构：
[1] Guilin Univ Technol, Collect Informat Sci & Engn, Guilin 541004, Peoples R China
[2] Guilin Univ Technol, Modern Network Technol Ctr, Guilin 541004, Peoples R China
来源：
Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering (MMME 2016) | 2016年 / 79卷
关键词：
MapReduce model; PageRank algorithm; parallel computing;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
PageRank algorithm is improved by MapReduce programming model thought based on research and study of PageRank algorithm. MapReduce-based PageRank algorithm run distributed parallel in Hadoop cloud computing platform environments, thereby improving the efficiency of PageRank. The experimental results show that the PageRank algorithm based on MapReduce cluster node number and data block size to affect the efficiency of the algorithm.
引用
收藏
页码：182 / 185
页数：4
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