Research on PageRank Algorithm parallel computing Based on Hadoop
Pengfei Yang, Liqing Zhou
Available Online October 2016.
- 10.2991/mmme-16.2016.40How to use a DOI?
- MapReduce model; PageRank algorithm; parallel computing
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.
- © 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/).
Cite this article
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 -