Document Details

Document Type : Article In Journal 
Document Title :
Intelligent Dynamic Aging Approaches in Web Proxy Cache Replacement
الأسلوب الديناميكي الذكي في تحسين تخزين واستبدال صفحات الويب في البروكسي
 
Subject : Computer Science 
Document Language : English 
Abstract : 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. 
ISSN : 2150-8410 
Journal Name : Journal of Intelligent Learning Systems and Applications 
Volume : 7 
Issue Number : 1 
Publishing Year : 1436 AH
2015 AD 
Article Type : Article 
Added Date : Monday, March 7, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
وليد علي احمدAhmed, Waleed AliInvestigatorDoctoratewaleedalodini@gmail.com

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