Titlebook: Web Proxy Cache Replacement Strategies; Simulation, Implemen Hala ElAarag Book 2013 Hala ElAarag 2013 Cache Replacement.NNPCR.Neural Networ

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2191-5768 ovel Neural Network Proxy Cache Replacement (NNPCR) approach.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

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Background Information,oving quality of service (QoS) for end users. We also provide the characteristics of Web objects. We explain the two basic architectures of Web proxy servers and introduce Squid, the open source proxy cache server.

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Neural Networks,cs for problems where the data set is too large for a comprehensive search. In this chapter, we give a brief introduction to the neural network firing rules and multi-layer perceptrons. We briefly explain supervised learning, the objective function, and the most commonly used backpropagation neural networks.

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Introduction,With the debut of Web 2.0, many researchers are interested in studying their workload characteristics in order to design more efficient servers. YouTube is an example of a very popular Web 2.0 site, and hence, it was the choice for many to conduct such research.

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