Performance evaluation for implementations of a network of proxy caches

Kumar, Chetan

doi:10.1016/j.dss.2008.09.002

Cited by 21 publications

(9 citation statements)

References 10 publications

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“…Three popular aspects have high impact on web proxy caching, which are cache consistency, cache pre-fetching, and cache replacement [1], [3], [4]. However, the powerful cache replacement method is essential and can make the greatest contribution in enhancing the caching performance [5]- [10].…”

Section: A Web Proxy Cache Replacementmentioning

confidence: 99%

Performance Improvement of Web Proxy Cache Replacement using Intelligent Greedy-Dual Approaches

Ali¹

2018

ijacsa

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This paper reports on how intelligent Greedy-Dual approaches based on supervised machine learning were used to improve the web proxy caching performance. The proposed intelligent Greedy-Dual approaches predict the significant web objects' demand for web proxy caching using Naïve Bayes (NB), decision tree (C4.5), or support vector machine (SVM) classifiers. Accordingly, the proposed intelligent Greedy-Dual approaches effectively make the cache replacement decision based on the trained classifiers. The trace-driven simulation results indicated that in terms of byte hit ratio and/or hit ratio, the performance of each of the conventional Greedy-Dual-Size-Frequency (GDSF) and Greedy-Dual-Size (GDS) was noticeably enhanced by applying the proposed Greedy-Dual approaches on five real datasets.

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Section: A Web Proxy Cache Replacementmentioning

confidence: 99%

Performance Improvement of Web Proxy Cache Replacement using Intelligent Greedy-Dual Approaches

Ali¹

2018

ijacsa

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“…They described their model as a simplistic starting point with the purpose of stimulating further research in the area. Kumar [15] looked at the performance of a caching policy which considers objects held by neighbor proxies in an effort to reduce redundancies. Kumar and Norris [16] proposed a new proxy-level web caching mechanism that exploits historical request patterns and deviations from normal usage patterns in order to determine what to cache.…”

Section: Previous Researchmentioning

confidence: 99%

Designing content distribution networks for optimal cost and performance

2011

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One strategy for alleviating excess latency (delay) in the Internet is the caching of web content at multiple locations. This reduces the number of hops necessary to reach the desired content. This strategy is used for web content such as html pages, images, streaming video, and Internet radio. The network of servers which store this content, and the collections of objects stored on each server, is called a content distribution network (CDN). In order to optimally design a CDN, given a network topology with available server storage capacity at various points in the network, one must decide which object collections to place on each server in order to achieve performance or cost objectives. The placements must be within the storage limits of the servers and must reflect the request patterns for each collection of objects to be cached. Researchers have suggested formulations for the CDN problem which address performance by minimizing latency (the average number of hops is a commonly accepted measure of latency) from client to content, or formulations that focus on minimizing cost of storage and/or bandwidth. In this research, we develop a model which allows for the simultaneous treatment of performance and cost, present examples to illustrate the application of the model and perform a detailed designed experiment to gain insights into cost/hops tradeoff for a variety of network parameters.

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“…Compared with web caching, perfecting goes one step promote by expecting users' future requests and preloading the probable objects into a cache and also discussed the performance evaluation of the proxy cache [8]. When a user ultimately desires the probable objects, they are obtainable in the cache.…”

Section: Related Workmentioning

confidence: 99%

Bayesian Classifier Web Object Filters for User Navigation with Validation Cross Point

Santra¹,

Jayasudha²

2012

IJCA

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Web caching and pre fetching plays a significant role among the users and websites in reducing the response time of user requests and saving the network bandwidth. The websites which are most likely visited are stored under web cache and web pre-fetch to retrieve them later shortly. Thus web caching and web pre-fetch are one of the most thriving resolutions for enhancing the performance of the web-based systems. However, the complexity in formatting the ideal Web objects that will be re-visited in the prospect is still a trouble faced by an existing conventional cluster based caching techniques. In this work, Bayesian classifier is used for web object filtering process which enhances the performance of caching techniques. Apart from that, the validation process is also being taken place to improve the user navigation process under web based systems. The validation is made of user identity on web product navigation is done with User-profile relativity to national identification number. Web services enable the product vendor regarding the demand of their products by specific valid users. The validation is done with both the existing cluster based web object filters and the proposed classifier based web object filters and compares the results with it. An experimental evaluation is done with the several log files to estimate the performance of the proposed validation check for Bayesian classifier and cluster based web object filters for web user navigation in terms of efficiency of classification, validation, performance rate and compared with an existing cluster based web object filters and identified the better web caching technique.

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Performance evaluation for implementations of a network of proxy caches

Cited by 21 publications

References 10 publications

Performance Improvement of Web Proxy Cache Replacement using Intelligent Greedy-Dual Approaches

Performance Improvement of Web Proxy Cache Replacement using Intelligent Greedy-Dual Approaches

Designing content distribution networks for optimal cost and performance

Bayesian Classifier Web Object Filters for User Navigation with Validation Cross Point

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