Patterns analysis and classification for Web proxy cache

Ali, Waleed; Shamsuddin, Siti Mariyam; Ismail, Abdul Samad

doi:10.1109/his.2011.6122087

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…For example, it might be trained to classify emails whether they are spam or non-spam emails [4]. Machine learning is divides into two types that are supervised machine learning and unsupervised machine learning.…”

Section: J48 Classifiermentioning

confidence: 99%

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

Yasin

Ibrahim

Udzir

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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Section: J48 Classifiermentioning

confidence: 99%

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

Yasin

Ibrahim

Udzir

et al. 2014

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

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“…In this work, two supervised machine learning algorithms are adopted that are: Naïve Bayes (NB) classifier and J48 decision tree classifier. They are popular supervised machine learning algorithms that have been applied successfully in many domains (Ali et al, 2011;Sulaiman et al, 2008). In this work, NB and J48 classifiers are incorporated effectively with traditional web caching policies (Ali et al, 2012a).…”

Section: Introductionmentioning

confidence: 99%

Intelligent Cooperative Web Caching Policies for Media Objects Based on J48 Decision Tree and Naïve Bayes Supervised Machine Learning Algorithms in Structured Peer-to-Peer Systems

Ibrahim

Yasin

Udzir

et al. 2016

JICT

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Web caching plays a key role in delivering web items to end users in World Wide Web (WWW). On the other hand, cache size is considered as a limitation of web caching. Furthermore, retrieving the same media object from the origin server many times consumes the network bandwidth. Furthermore, full caching for media objects is not a practical solution and consumes cache storage in keeping few media objects because of its limited capacity. Moreover, traditional web caching policies such as Least Recently Used (LRU), Least Frequently Used (LFU), and Greedy Dual Size (GDS) suffer from caching pollution (i.e. media objects that are stored in the cache are not frequently visited which negatively affects on the performance of web proxy caching). In this work, intelligent cooperative web caching approaches based on J48 decision tree and Naïve Bayes (NB) supervised machine learning algorithms are presented. The proposed approaches take the advantages of structured peer-to-peer systems where the contents of peers' caches are shared using Distributed Hash Table (DHT) in order to enhance the performance of the web caching policy. The performance of the proposed approaches is evaluated by running a trace-driven simulation on a dataset that is collected from IRCache network. The results demonstrate that the new proposed policies improve the performance of traditional web caching policies that are LRU, LFU, and GDS in terms of Hit

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A novel web caching scheme using hybrid least frequently used and support vector machine

Aimtongkham

So-In

Sanguanpong

2016

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)

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Patterns analysis and classification for Web proxy cache

Cited by 3 publications

References 19 publications

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

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

Intelligent Cooperative Web Caching Policies for Media Objects Based on J48 Decision Tree and Naïve Bayes Supervised Machine Learning Algorithms in Structured Peer-to-Peer Systems

A novel web caching scheme using hybrid least frequently used and support vector machine

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