Windows Web Proxy Caching Simulation: A Tool for Simulating Web Proxy Caching Under Windows Operating Systems

Yasin,

doi:10.3844/jcssp.2014.1380.1388

“…A trace-driven simulator build using visual C# 2017 in help with Windows Web Proxy Caching Simulation (WWPCS) simulator designed by [19]. It is designed to evaluate proposed intelligent algorithms NB-AWRP-DA and J48-IAWRP-DA and evaluate most common traditional replacement algorithms LRU, LFU and FIFO.…”

Section: Web Proxy Cache Simulationmentioning

confidence: 99%

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

Al-Qudah

¹

,

Olanrewaju

²

,

Azman

³

2017

IJEEI

0

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The increased usage of World Wide Web leads to increase in network traffic and create a bottleneck over the internet performance. For most people, the accessing speed or the response time is the most critical factor when using the internet. Reducing response time was done by using web proxy cache technique that storing a copy of pages between client and server sides. If requested pages are cached in the proxy, there is no need to access the server. But, the cache size is limited, so cache replacement algorithms are used to remove pages from the cache when it is full. On the other hand, the conventional algorithms for replacement such as Least Recently Use (LRU), First in First Out (FIFO), Least Frequently Use (LFU), Randomised Policy, etc. may discard essential pages just before use. Furthermore, using conventional algorithms cannot be well optimized since it requires some decision to evict intelligently before a page is replaced. Hence, this paper proposes an integration of Adaptive Weight Ranking Policy (AWRP) with intelligent classifiers (NB-AWRP-DA and J48-AWRP-DA) via dynamic aging factor. To enhance classifiers power of prediction before integrating them with AWRP, particle swarm optimization (PSO) automated wrapper feature selection methods are used to choose the best subset of features that are relevant and influence classifiers prediction accuracy. Experimental Result shows that NB-AWRP-DA enhances the performance of web proxy cache across multi proxy datasets by 4.

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Intelligent Cooperative Least Recently Used Web Caching Policy based on J48 Classifier

Yasin

¹

,

Ibrahim

²

,

Udzir

³

et al. 2014

Proceedings of the 16th International Conference on Information Integration and Web-Based Applications &Amp; Services

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Web caching plays a key role in delivering web objects to the end-users which is one of the advantages of World Wide Web (WWW). However, the size of the cache is limited which is considered as one of the drawbacks of web caching. Furthermore, retrieving the same web object from the origin server many times consumes the network bandwidth. Moreover, cache pollution is a drawback of traditional web caching policies such as Least Recently Used (LRU) web caching policy where web objects that are stored in the cache are not visited frequently. In this work, new intelligent cooperative web caching approach based on J48 classifier is presented. A simulation is carried out to evaluate the performance of the proposed approach. The results show that the new approach improves the performance of the LRU web caching policy.

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Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

Al-Qudah

¹

,

Olanrewaju

²

,

Azman

³

2017

IJEEI

2

0

View full text Add to dashboard Cite

The increased usage of World Wide Web leads to increase in network traffic and create a bottleneck over the internet performance. For most people, the accessing speed or the response time is the most critical factor when using the internet. Reducing response time was done by using web proxy cache technique that storing a copy of pages between client and server sides. If requested pages are cached in the proxy, there is no need to access the server. But, the cache size is limited, so cache replacement algorithms are used to remove pages from the cache when it is full. On the other hand, the conventional algorithms for replacement such as Least Recently Use (LRU), First in First Out (FIFO), Least Frequently Use (LFU), Randomised Policy, etc. may discard essential pages just before use. Furthermore, using conventional algorithms cannot be well optimized since it requires some decision to evict intelligently before a page is replaced. Hence, this paper proposes an integration of Adaptive Weight Ranking Policy (AWRP) with intelligent classifiers (NB-AWRP-DA and J48-AWRP-DA) via dynamic aging factor. To enhance classifiers power of prediction before integrating them with AWRP, particle swarm optimization (PSO) automated wrapper feature selection methods are used to choose the best subset of features that are relevant and influence classifiers prediction accuracy. Experimental Result shows that NB-AWRP-DA enhances the performance of web proxy cache across multi proxy datasets by 4.

show abstract

Windows Web Proxy Caching Simulation: A Tool for Simulating Web Proxy Caching Under Windows Operating Systems

Cited by 3 publications

References 16 publications

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

Intelligent Cooperative Least Recently Used Web Caching Policy based on J48 Classifier

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

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