Assimilation of Fuzzy Logic and Replacement Algorithms to Browser Web Caching (original) (raw)

international journal of research in computer application & management, 2012

Abstract

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 close to the client. Most of the current Web browsers still employ traditional caching policies that are not efficient in web caching. This research proposes a splitting browser cache to two caches, instant cache and durable cache. Initially, a web object is stored in instant cache, and the web objects that are visited more than the pre-specified threshold value will be moved to durable cache. Other objects are removed by Least Recently Used (LRU) algorithm as instant cache is full. More significantly, when the durable cache saturates, a fuzzy system is employed in classifying each object stored in durable cache into either cacheable or uncacheable object. The old uncacheable objects are candidate for removing from the durable cache. By implementing this mechanism, the cache pollution can be mitigated and the cache space can be utilized effectively. Experimental results have revealed that the proposed approach can improve the performance up to 14.8% and 17.9% in terms of hit ratio (HR) compared to LRU and Least Frequently Used (LFU). In terms of byte hit ratio (BHR), the performance is improved up to 2.57%, compared to LRU and LFU.

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