Improved Performance by Combining Web Pre-Fetching Using Clustering with Web Caching Based on SVM Learning Method

  • Kuttuva Rajendran Baskaran Associate Professor Department of Information Technolgy Kumaraguru College of Technology Coimbatore India
  • Chellan Kalaiarasan Tamilnadu College of Engineering

Abstract

Combining Web caching and Web pre-fetching results in improving the bandwidth utilization, reducing the load on the origin server and reducing the delay incurred in accessing information. Web pre-fetching is the process of fetching the Web objects from the origin server which has more likelihood of being used in future. The fetched contents are stored in the cache. Web caching is the process of storing the popular objects ”closer” to the user so that they can be retrieved faster. In the literature many interesting works have been carried out separately for Web caching and Web pre-fetching. In this work, clustering technique is used for pre-fetching and SVM-LRU technique forWeb caching and the performance is measured in terms of Hit Ratio (HR) and Byte Hit Ratio (BHR). With the help of real data, it is demonstrated that the above approach is superior to the method of combining clustering based prefetching technique with traditional LRU page replacement method for Web caching.

Author Biographies

Kuttuva Rajendran Baskaran, Associate Professor Department of Information Technolgy Kumaraguru College of Technology Coimbatore India
Associate ProfessorDepartment of Information Technolgy
Chellan Kalaiarasan, Tamilnadu College of Engineering
Principal

References

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Published
2016-01-26
How to Cite
RAJENDRAN BASKARAN, Kuttuva; KALAIARASAN, Chellan. Improved Performance by Combining Web Pre-Fetching Using Clustering with Web Caching Based on SVM Learning Method. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 11, n. 2, p. 67-178, jan. 2016. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/897>. Date accessed: 08 july 2020. doi: https://doi.org/10.15837/ijccc.2016.2.897.

Keywords

Classification, Support, Confidence, Hit Ratio, Byte Hit Ratio, Web Pre-fetching, Web caching.