15-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
Faculty of Computing and Information Technology in Rabigh
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 Type
Dr Grade
Email
وليد علي احمد
Ahmed, Waleed Ali
Investigator
Doctorate
waleedalodini@gmail.com
Files
File Name
Type
Description
38332.pdf
pdf
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