Web Proxy Cache Replacement Strategies

Simulation, Implementation, and Performance Evaluation

Nonfiction, Computers, Networking & Communications, Hardware, Computer Hardware
Cover of the book Web Proxy Cache Replacement Strategies by Jake Cobb, Sam Romano, Hala ElAarag, Springer London
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Author: Jake Cobb, Sam Romano, Hala ElAarag ISBN: 9781447148937
Publisher: Springer London Publication: December 30, 2012
Imprint: Springer Language: English
Author: Jake Cobb, Sam Romano, Hala ElAarag
ISBN: 9781447148937
Publisher: Springer London
Publication: December 30, 2012
Imprint: Springer
Language: English

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.

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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.

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