Improved Performance by Combining Web Pre-Fetching Using Clustering with Web Caching Based on SVM Learning Method
AbstractCombining 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.
 Ali W., Shamsuddin S.M., Ismail A.S. (2012), Intelligent Web proxy caching approaches based on machine learning techniques, Decision Support Systems, 53(3): 565-579.
 Baskaran K.R., Kalaiarasan C., Sasi Nachimuthu A. (2013), Study of combined Web prefetching with Web caching based on machine learning technique, Journal of Theoretical and Applied Information Technology, 20th September 2013, 55(2): 280-291.
 Pallis G., Vakali A., Pokorny J. (2008), A clustering-based prefetching scheme on a Web cache environment, Computers and Electrical Engineering, 34(4): 309-323.
 Podlipnig S., Boszormenyi L. (2003);
A survey of Web cache replacement strategies, ACM Computer Surveys; 35(4):374–98.
 Web reference: http://www.wikipedia.com/svm
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