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

Yasin, Waheed; Ibrahim, Hamidah; Udzir, Nur Izura; Hamid, Nor Asilah Wati Abdul

doi:10.1145/2684200.2684299

Cited by 6 publications

(9 citation statements)

References 15 publications

(19 reference statements)

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“…HR and BHR are the most widely used metrics in evaluating the performance of Web caching [1]- [8]. HR is defined as the percentage of requests that can be satisfied by the cache.…”

Section: Resultsmentioning

confidence: 99%

“…In order to clarify the benefits of the proposed Intelligent Dynamic-Aging Approaches, the improvement ratio (IR) of the performance in terms of HR and BHR for each particular cache size can be calculated using Equation (8).…”

Section: Resultsmentioning

confidence: 99%

“…Hence, the design of efficient cache replacement algorithms is required to achieve highly sophisticated caching mechanism. The effective cache replacement algorithm is vital and has a profound impact on Web proxy cache management [6]- [8] [11]. Therefore, this study pays attention to improvement of Web proxy cache replacement approaches.…”

Section: Web Proxy Cache Replacementmentioning

confidence: 99%

“…Besides, ANN is influenced by the optimal selection of the network topology and its parameters. More significantly, integration of an intelligent technique in Web cache replacement is still a popular research subject [7] [8].…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Dynamic Aging Approaches in Web Proxy Cache Replacement

Ali¹,

Shamsuddin²

2015

JILSA

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One of commonly used approach to enhance the Web performance is Web proxy caching technique. In Web proxy caching, Least-Frequently-Used-Dynamic-Aging (LFU-DA) is one of the common proxy cache replacement methods, which is widely used in Web proxy cache management. LFU-DA accomplishes a superior byte hit ratio compared to other Web proxy cache replacement algorithms. However, LFU-DA may suffer in hit ratio measure. Therefore, in this paper, LFU-DA is enhanced using popular supervised machine learning techniques such as a support vector machine (SVM), a naïve Bayes classifier (NB) and a decision tree (C4.5). SVM, NB and C4.5 are trained from Web proxy logs files and then intelligently incorporated with LFU-DA to form Intelligent Dynamic-Aging (DA) approaches. The simulation results revealed that the proposed intelligent Dynamic-Aging approaches considerably improved the performances in terms of hit and byte hit ratio of the conventional LFU-DA on a range of real datasets.

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“…HR and BHR are the most widely used metrics in evaluating the performance of Web caching [1]- [8]. HR is defined as the percentage of requests that can be satisfied by the cache.…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Web Proxy Cache Replacementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Intelligent Dynamic Aging Approaches in Web Proxy Cache Replacement

Ali¹,

Shamsuddin²

2015

JILSA

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“…In the works of Yasin et al (2014a) and Yasin et al (2014b), we have presented a brief description of the proposed policies for intelligent cooperative web caching policies for media objects based on J48 decision tree supervised machine learning algorithms in structured peer-to-peer systems, while; this paper gives a full explanation for them.…”

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

Self Cite

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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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Comparison of machine learning techniques for spam detection

Ghosh

Rajan

2023

Multimed Tools Appl

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

Cited by 6 publications

References 15 publications

Intelligent Dynamic Aging Approaches in Web Proxy Cache Replacement

Intelligent Dynamic Aging Approaches in Web Proxy Cache Replacement

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

Comparison of machine learning techniques for spam detection

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