Improving the Performance of Browsers Using Fuzzy Logic

– The large popularity of web services and applications makes their performance very critical. Reducing the latency of retrieve web pages has become a real challenge. Caching is widely used for this purpose. 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 in terms of hit ratio (HR) and Latency Saving Ratio (LSR) when compared to LRU and Least Frequently