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Reseach Article

An Optimization Technique of Web Caching using Fuzzy Inference System

by Anish Kumar Saha, Partha Pratim Deb, Moutushi Kar, D. Rudrapal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 17
Year of Publication: 2012
Authors: Anish Kumar Saha, Partha Pratim Deb, Moutushi Kar, D. Rudrapal
10.5120/6196-8721

Anish Kumar Saha, Partha Pratim Deb, Moutushi Kar, D. Rudrapal . An Optimization Technique of Web Caching using Fuzzy Inference System. International Journal of Computer Applications. 43, 17 ( April 2012), 20-23. DOI=10.5120/6196-8721

@article{ 10.5120/6196-8721,
author = { Anish Kumar Saha, Partha Pratim Deb, Moutushi Kar, D. Rudrapal },
title = { An Optimization Technique of Web Caching using Fuzzy Inference System },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 17 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number17/6196-8721/ },
doi = { 10.5120/6196-8721 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:34:25.424552+05:30
%A Anish Kumar Saha
%A Partha Pratim Deb
%A Moutushi Kar
%A D. Rudrapal
%T An Optimization Technique of Web Caching using Fuzzy Inference System
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 17
%P 20-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Caching and Prefetching are the two approaches for Web Caching. Again Web caching is a technology to reduce the response time, bandwidth uses and improving the network traffic etc. Web Prefetching tries to put the future used web objects into cache with higher probability of cache hit. In Web caching, Cache replacement algorithm is the core of it. So, good replacement policy would make effective management of cache memory utilization with higher probability of cache hits. General replacement policy like LRU, FIFO, LFU considering only the arrival time, but other parameters related to web objects should consider for deciding cacheable or not. This paper approaches a replacement policy with fuzzy inference system with input parameters Frequency, Latency and Bytesent of web objects. By considering these parameters, the replacement would have artificial intelligence in cache replacement policy.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Caching Fis (fuzzy Inference System) Frequency Latency Bytesent