Web Proxy Cache Replacement Strategies : Simulation, Implementation, and Performance Evaluation
Language: English
Published by Springer, 2012
- Softcover
- Used
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- Title
- Web Proxy Cache Replacement Strategies : Simulation, Implementation, and Performance Evaluation
- Author
- Elaarag, Hala; Romano, Sam (CON); Cobb, Jake (CON)
- Publisher
- Springer
- Publication year
- 2012
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1447148924
- ISBN 13
- 9781447148920
- Series
- Book 53 of 322: SpringerBriefs in Computer Science
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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