TY  - BOOK
AU  - ElAarag,Hala
ED  - SpringerLink (Online service)
TI  - Web Proxy Cache Replacement Strategies: Simulation, Implementation, and Performance Evaluation 
T2  - SpringerBriefs in Computer Science,
SN  - 9781447148937
AV  - QA76.9.C65 
U1  - 003.3 23
PY  - 2013///
CY  - London
PB  - Springer London, Imprint: Springer
KW  - Computer science
KW  - Computer communication systems
KW  - Computer system failures
KW  - Computer simulation
KW  - Computer Science
KW  - Simulation and Modeling
KW  - Computer Communication Networks
KW  - System Performance and Evaluation
N1  - Introduction -- Background Information -- Artificial Neural Networks -- A Quantitative Study of Web Cache Replacement Strategies using Simulation -- Web Proxy Cache Replacement Scheme Based on Back Propagation Neural Network -- Implementation of a Neural Network Proxy Cache Replacement Strategy in the Squid Proxy Server
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4471-4893-7
ER  -