Research on Pagerank Algorithm Based on Mapreduce

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.