Parallel Page Rank Algorithms: A Survey

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Atul kumar Srivastava, Mitali Srivastava, Rakhi Garg, P. K . Mishra

Abstract

The PageRank method is an important and basic component in effective web search to compute the rank score of each page. The exponential growth of the Internet makes a crucial challenges for search engines to provide up-to-date and relevant user?s query search results within time period. The PageRank method computed on huge number of web pages and this is computation intensive task. In this paper, we provide the basic concept of PageRank method and discuss some Parallel PageRank methods. We also compare some Parallel algorithmic concepts like load balance, distributed vs. shared memory and data layout on these algorithms.

Article Details

How to Cite
, A. kumar S. M. S. R. G. P. K. . M. (2017). Parallel Page Rank Algorithms: A Survey. International Journal on Recent and Innovation Trends in Computing and Communication, 5(5), 470–473. https://doi.org/10.17762/ijritcc.v5i5.547
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Articles