Research on PageRank Algorithm parallel computing Based on Hadoop

DOI

10.2991/mmme-16.2016.40How to use a DOI?

Keywords

MapReduce model; PageRank algorithm; parallel computing

Abstract

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 compu-ting 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 effi-ciency of the algorithm.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Pengfei Yang
AU  - Liqing Zhou
PY  - 2016/10
DA  - 2016/10
TI  - Research on PageRank Algorithm parallel computing Based on Hadoop
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SP  - 182
EP  - 185
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.40
DO  - 10.2991/mmme-16.2016.40
ID  - Yang2016/10
ER  -