Universiti Teknologi Malaysia Institutional Repository

Intelligent web proxy caching approaches based on support vector machine

Ismail, Abdul Samed and Shamsuddin, Siti Mariyam and Ali, Waleed (2011) Intelligent web proxy caching approaches based on support vector machine. In: The International Conference On Informatics Engineering & Information Science (Icieis 2011).

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Abstract

Web proxy caching is one of the most successful solutions for improving the performance of Web-based systems. In Web proxy caching, the popular web objects that are likely to be revisited in the near future are stored on the proxy server which plays the key roles between users and web sites in reducing the response time of user requests and saving the network bandwidth. However, the difficulty in determining the ideal web objects that will be revisited in the future is still a problem faced by existing conventional Web proxy caching techniques. In this paper, support vector machine (SVM) is used to enhance the performance of conventional web proxy caching such as Least-Recently-Used (LRU) and Greedy-Dual-Size-Frequency (GDSF). SVM is intelligently incorporated with conventional Web proxy caching techniques to form intelligent caching approaches called SVM_LRU and SVM_GDSF with better performance. Experimental results have revealed that the proposed SVM_LRU and SVM_GDSF improve significantly the performances of LRU and GDSF respectively across several proxy datasets.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Web proxy caching; Cache replacement; Support vector machine
Subjects:T Technology > T Technology (General)
Divisions:Computing
ID Code:45955
Deposited By: Haliza Zainal
Deposited On:10 Jun 2015 03:01
Last Modified:17 Jul 2017 01:52

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