Document Details
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Document Type |
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Article In Journal |
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Document Title |
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Intelligent Dynamic Aging Approaches in Web Proxy Cache Replacement الأسلوب الديناميكي الذكي في تحسين تخزين واستبدال صفحات الويب في البروكسي |
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Subject |
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Computer Science |
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Document Language |
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English |
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Abstract |
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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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ISSN |
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2150-8410 |
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Journal Name |
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Journal of Intelligent Learning Systems and Applications |
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Volume |
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7 |
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Issue Number |
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1 |
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Publishing Year |
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1436 AH
2015 AD |
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Article Type |
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Article |
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Added Date |
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Monday, March 7, 2016 |
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Researchers
| وليد علي احمد | Ahmed, Waleed Ali | Investigator | Doctorate | waleedalodini@gmail.com |
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