Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48

Al-Qudah, Dua'a Mahmoud Mohammad and Olanrewaju, Rashidah Funke and Azman, Amelia Wong (2017) Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48. In: 6th International Conference on Mechatronics - ICOM'17, 8-9 Aug 2017, Kuala Lumpur.

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Abstract

Web proxy cache technique reduces response time by storing a copy of pages between client and server sides. If requested pages are cached in the proxy, there is no need to access the server. Due to the limited size and excessive cost of cache compared to the other storages, cache replacement algorithm is used to determine evict page when the cache is full. On the other hand, the conventional algorithms for replacement such as Least Recently Use (LRU), First in First Out (FIFO), Least Frequently Use (LFU), Randomized Policy etc. may discard important pages just before use. Furthermore, using conventional algorithm cannot be well optimized since it requires some decision to intelligently evict a page before replacement. Hence, most researchers propose an integration among intelligent classifiers and replacement algorithm to improves replacement algorithms performance. This research proposes using automated wrapper feature selection methods to choose the best subset of features that are relevant and influence classifiers prediction accuracy. The result present that using wrapper feature selection methods namely: Best First (BFS), Incremental Wrapper subset selection(IWSS)embedded NB and particle swarm optimization(PSO)reduce number of features and have a good impact on reducing computation time. Using PSO enhance NB classifier accuracy by 1.1%, 0.43% and 0.22% over using NB with all features, using BFS and using IWSS embedded NB respectively. PSO rises J48 accuracy by 0.03%, 1.91 and 0.04% over using J48 classifier with all features, using IWSS-embedded NB and using BFS respectively. While using IWSS embedded NB fastest NB and J48 classifiers much more than BFS and PSO. However, it reduces computation time of NB by 0.1383 and reduce computation time of J48 by 2.998.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	6796/59491
Uncontrolled Keywords:	web cache, replacement algorithms, wrapper feature selection, intelligent classifiers
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr. Rashidah Funke Olanrewaju
Date Deposited:	17 Nov 2017 15:11
Last Modified:	15 Jan 2018 11:17
URI:	http://irep.iium.edu.my/id/eprint/59491

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