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A Novel Approach for Prefetching of Web Pages through Clustering of Web Users to Reduce the Web Latency

  • G. T. Raju
  • M. V. Sudhamani
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 174)

Abstract

Web users are experiencing a long latency while retrieving the Web pages due to the amount of network traffic increased with the WWW expansion. Potential sources of latency are the Web servers’ heavy load, network congestion, low bandwidth, bandwidth underutilization, and propagation delay. To solve the latency problem, prefetching technique that predicts the destination pages for user community has become critical to save the communication overhead. Prefetching means fetching of Web pages before the users request them so as to reduce the user perceived latency. A novel Cluster and Prefetch (CPF) approach is proposed in this paper. Experimental results shows that the CPF approach effectively reduces the user perceived latency without wasting the network resources with high prediction accuracy.

Keywords

Joint Probability Density Function High Prediction Accuracy Continuous Random Variable Access Link Page Size 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Dept. of Computer Science and EngineeringRNS Institute of TechnologyBangaloreIndia
  2. 2.Dept. of Information Science and EngineeringRNS Institute of TechnologyBangaloreIndia

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