Ali, Waleed and Shamsuddin, Siti Mariyam (2015) Intelligent Dynamic Aging Approaches in Web Proxy Cache Replacement. Journal of Intelligent Learning Systems and Applications, 07 (04). pp. 117-127. ISSN 2150-8402
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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 naive 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.
Item Type: | Article |
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Subjects: | OA Library Press > Medical Science |
Depositing User: | Unnamed user with email support@oalibrarypress.com |
Date Deposited: | 24 Jan 2023 06:55 |
Last Modified: | 16 Jul 2024 08:07 |
URI: | http://archive.submissionwrite.com/id/eprint/171 |