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

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發(fā)表于 2025-3-21 16:45:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Web Proxy Cache Replacement Strategies
副標(biāo)題Simulation, Implemen
編輯Hala ElAarag
視頻videohttp://file.papertrans.cn/1022/1021587/1021587.mp4
概述Presents the simulation of 27 proxy cache replacement strategies, reviewing these by several important performance measures.Introduces the novel Neural Network Proxy Cache Replacement (NNPCR) approach
叢書(shū)名稱(chēng)SpringerBriefs in Computer Science
圖書(shū)封面Titlebook: Web Proxy Cache Replacement Strategies; Simulation, Implemen Hala ElAarag Book 2013 Hala ElAarag 2013 Cache Replacement.NNPCR.Neural Networ
描述.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..
出版日期Book 2013
關(guān)鍵詞Cache Replacement; NNPCR; Neural Networks; Neural Networks Training; Performance Evaluation; Proxy Cache;
版次1
doihttps://doi.org/10.1007/978-1-4471-4893-7
isbn_softcover978-1-4471-4892-0
isbn_ebook978-1-4471-4893-7Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightHala ElAarag 2013
The information of publication is updating

書(shū)目名稱(chēng)Web Proxy Cache Replacement Strategies影響因子(影響力)




書(shū)目名稱(chēng)Web Proxy Cache Replacement Strategies影響因子(影響力)學(xué)科排名




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發(fā)表于 2025-3-21 23:00:32 | 只看該作者
Hala ElAaragok is on identification practices, the practices of secrecy, the?dynamics of interethnic social relations, and the religious practices of Turkish ?Alawi?men and women in present-day Germany. The book traces in particular the stories?of the new generations of ?Alawis whose experiences have largely re
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發(fā)表于 2025-3-22 01:44:29 | 只看該作者
A Quantitative Study of Web Cache Replacement Strategies Using Simulation,nce metrics in the literature. Hit rate is an indication of user perceived lag, while byte-hit rate is an indication of the amount of network traffic. We also introduce a new performance metric, the object removal rate, which is an indication of CPU usage and disk access at the proxy server. This me
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Web Proxy Cache Replacement Scheme Based on Backpropagation Neural Network,e compare our approach to the least recently used (LRU) and least frequently used (LFU) cache replacement techniques, in addition to the optimal case which always rates an object with the number of future requests. In simulation, the final neural networks achieve hit rates that are 86.60?% of the op
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發(fā)表于 2025-3-22 19:50:22 | 只看該作者
Implementation of a Neural Network Proxy Cache Replacement Strategy in the Squid Proxy Server, to as NNPCR-2. We show how the improved model can be trained with up to twelve times more data and gain a 5–10?% increase in correct classification ratio (CCR) than in NNPCR. We implemented NNPCR-2 in Squid proxy server and compared it with four other cache replacement strategies. In this chapter,
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2191-5768 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..978-1-4471-4892-0978-1-4471-4893-7Series ISSN 2191-5768 Series E-ISSN 2191-5776
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