Universiti Teknologi Malaysia Institutional Repository

Neuro-fuzzy system in web client-side caching

Ali, Waleed and Shamsuddin, Siti Mariyam (2009) Neuro-fuzzy system in web client-side caching. In: 2009 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2009. Institute of Electrical and Electronics Engineers, New York, pp. 888-895. ISBN 978-142443806-8

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Official URL: http://dx.doi.org/10.1109/AICCSA.2009.5069437


Web caching is a well-known strategy for improving performance of Web-based system by keeping web objects that are likely to be used in the near future closer to the client. Although most researchers focused on designing efficient caching with proxy and origin servers, the potential gain of exploiting client-side caching based on neuro-fuzzy system is not yet being investigated. Hence, this paper proposes a splitting web client-side cache to two caches, short-term cache and longterm cache. Initially, a web object is stored in short-term cache. The web objects that are visited more than the pre-specified threshold value will be moved to long-term cache and other objects in short-term cache are removed with time. Thus, we ensure that the preferred web objects are cached in long-term cache for longer time. In this study, neuro-fuzzy is employed to determine which web objects should be removed in order to create more spaces for the new web objects. By implementing this mechanism, the cache space is used properly. Experimental results have shown that the proposed approach has better performance compared to the most common caching policies and has improved the performance of client-side caching substantially.

Item Type:Book Section
Additional Information:7th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA-2009; Rabat; 10 May 2009 through 13 May 2009
Uncontrolled Keywords:adaptive neuro-fuzzy inference system, long-term cache, neuro-fuzzy system, short-term cache, web client-side caching
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:13004
Deposited By: Liza Porijo
Deposited On:13 Jul 2011 02:18
Last Modified:13 Jul 2011 02:18

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