Web Proxy Cache Replacement Strategies - Info and Reading Options
Simulation, Implementation, and Performance Evaluation
By Hala ElAarag
"Web Proxy Cache Replacement Strategies" was published by Springer London in 2013 - London, it has 103 pages and the language of the book is English.
“Web Proxy Cache Replacement Strategies” Metadata:
- Title: ➤ Web Proxy Cache Replacement Strategies
- Author: Hala ElAarag
- Language: English
- Number of Pages: 103
- Publisher: Springer London
- Publish Date: 2013
- Publish Location: London
“Web Proxy Cache Replacement Strategies” Subjects and Themes:
- Subjects: ➤ Computer system performance - Computer Communication Networks - Computer simulation - System Performance and Evaluation - Simulation and Modeling - Computer science - Web proxy servers - Distributed shared memory - Cache memory - Multimedia systems - Web servers
Edition Specifications:
- Format: [electronic resource] :
- Pagination: ➤ X, 103 p. 81 illus., 15 illus. in color.
Edition Identifiers:
- The Open Library ID: OL27095344M - OL19910653W
- Library of Congress Control Number (LCCN): 2012954855
- ISBN-13: 9781447148937
- All ISBNs: 9781447148937
AI-generated Review of “Web Proxy Cache Replacement Strategies”:
"Web Proxy Cache Replacement Strategies" Table Of Contents:
- 1- <p>Introduction
- 2- Background Information
- 3- Artificial Neural Networks
- 4- A Quantitative Study of Web Cache Replacement Strategies using Simulation
- 5- Web Proxy Cache Replacement Scheme Based on Back Propagation Neural Network
- 6- Implementation of a Neural Network Proxy Cache Replacement Strategy in the Squid Proxy Server.</p>.
"Web Proxy Cache Replacement Strategies" Description:
The Open Library:
<p>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.</p>
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