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Web Proxy Cache Replacement Strategies

Simulation, Implementation, and Performance Evaluation

  • Hala¬†ElAarag

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

About this book

Introduction

This work presents a study of cache replacement strategies designed for static web content. Proxy servers can improve performance by caching static web content such as cascading style sheets, java script source files, and large files such as images. This topic is particularly important in wireless ad hoc networks, in which mobile devices act as proxy servers for a group of other mobile devices. Opening chapters present an introduction to web requests and the characteristics of web objects, web proxy servers and Squid, and artificial neural networks. This is followed by a comprehensive review of cache replacement strategies simulated against different performance metrics. The work then describes a novel approach to web proxy cache replacement that uses neural networks for decision making, evaluates its performance and decision structures, and examines its implementation in a real environment, namely, in the Squid proxy server.

Keywords

Cache Replacement NNPCR Neural Networks Neural Networks Training Performance Evaluation Proxy Cache Proxy Server Simulation Squid Web

Authors and affiliations

  • Hala¬†ElAarag
    • 1
  1. 1.Department of Math and Computer ScienceStetson UniversityDeLandUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4893-7
  • Copyright Information Hala ElAarag 2013
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-4892-0
  • Online ISBN 978-1-4471-4893-7
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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