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IIJCS:Volume 5, Issue 2, February 2017

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Title:
Integration of Least Recently Used Algorithm and Neuro-Fuzzy System into Client-side Web Caching
Author Name:
Mr. Sahed Ali
Abstract:
ABSTRACT Net caching may be a well-known strategy for up performance of Web-based system by keeping net objects that ar doubtless to be employed in the close to future near the shopper. Most of this net browsers still use ancient caching policies that dont seem to be economical in net caching. This analysis proposes a ripping client-side net cache to 2 caches, short-run cache and semipermanent cache. Initially, an internet object is hold on in short-run cache, and also the net objects that ar visited quite the pre-specified threshold worth are going to be affected to semipermanent cache. alternative objects ar removed by Least Recently Used (LRU) rule as short-run cache is full. additional considerably, once the semipermanent cache saturates, the neuro-fuzzy system is utilized in classifying every object hold on in semipermanent cache into either cacheable or uncacheable object. The recent uncacheable objects ar candidate for removing from the semipermanent cache. By implementing this mechanism, the cache pollution are often eased and also the cache house are often utilised effectively. Experimental results have disclosed that the projected approach will improve the performance up to fourteen.8% and 17.9% in terms of hit quantitative relation (HR) compared to LRU and Least ofttimes Used (LFU). In terms of computer memory unit hit quantitative relation (BHR), the performance is improved up to a pair of.57% and 26.25%, and for latency saving quantitative relation (LSR), the performance is improved up to eight.3% and 18.9%, compared to LRU and LFU.
Cite this article:
Mr. Sahed Ali , " Integration of Least Recently Used Algorithm and Neuro-Fuzzy System into Client-side Web Caching" , IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS) , Volume 5, Issue 2, February 2017 , pp. 008-011 , ISSN 2321-5992.
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