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 Integration of Least Recently Used Algorithm and Neuro ...
Keywords: Client-side web caching, Adaptive neuro-fuzzy inference system, Least Recently Used algorithm. 1. INTRODUCTION One of the important means to improve the performance of Web service is to employ web caching mechanism. Web caching is a well-known strategy for improving performance of Web-based system....
CiteSeerX — Integration of Least Recently Used Algorithm ...
In terms of byte hit ratio (BHR), the performance is improved up to 2.57 % and 26.25%, and for latency saving ratio (LSR), the performance is improved up to 8.3 % and 18.9%, compared to LRU and LFU. Keywords: Client-side web caching, Adaptive neuro-fuzzy inference system, Least Recently Used algorithm....
Volume 3, Issue 1, January/February 2009.
Keywords: Client-side web caching, Adaptive neuro-fuzzy inference system, Least Recently Used algorithm. 1. INTRODUCTION One of the important means to improve the performance of Web service is to employ web caching mechanism. Web caching is a well-known strategy for improving performance of Web-based system....
Enhancing Greedy Web Proxy caching using Weighted Random ...
The neuro-fuzzy system is partitioned client-side Web Cache which uses the Adaptive Neuro-Fuzzy Inference System (ANFIS) method for binary classification and for classifying the Web objects into cacheable or uncacheable objects. Here, the trained Neuro-fuzzy has been employed with the LRU algorithm in cache replacement decision....
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