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

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 algo...

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Main Authors:	Al-Qudah, Dua'a Mahmoud Mohammad, Olanrewaju, Rashidah Funke, Azman, Amelia Wong
Format:	Conference or Workshop Item
Language:	English English
Published:	IOP Publishing 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/59491/ http://irep.iium.edu.my/59491/ http://irep.iium.edu.my/59491/ http://irep.iium.edu.my/59491/7/59491-Enhancement%20web%20proxy%20cache.pdf http://irep.iium.edu.my/59491/13/Enhancement%20web%20proxy%20cache%20performance%20using%20wrapper%20feature%20selection%20methods%20with%20NB%20and%20J48.pdf

id	iium-59491
recordtype	eprints
spelling	iium-594912018-01-15T03:17:39Z http://irep.iium.edu.my/59491/ Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48 Al-Qudah, Dua'a Mahmoud Mohammad Olanrewaju, Rashidah Funke Azman, Amelia Wong QA75 Electronic computers. Computer science 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. IOP Publishing 2017-11-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/59491/7/59491-Enhancement%20web%20proxy%20cache.pdf application/pdf en http://irep.iium.edu.my/59491/13/Enhancement%20web%20proxy%20cache%20performance%20using%20wrapper%20feature%20selection%20methods%20with%20NB%20and%20J48.pdf 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. http://iopscience.iop.org/article/10.1088/1757-899X/260/1/012012/pdf 10.1088/1757-899X/260/1/012012
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Al-Qudah, Dua'a Mahmoud Mohammad Olanrewaju, Rashidah Funke Azman, Amelia Wong Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48
description	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.
format	Conference or Workshop Item
author	Al-Qudah, Dua'a Mahmoud Mohammad Olanrewaju, Rashidah Funke Azman, Amelia Wong
author_facet	Al-Qudah, Dua'a Mahmoud Mohammad Olanrewaju, Rashidah Funke Azman, Amelia Wong
author_sort	Al-Qudah, Dua'a Mahmoud Mohammad
title	Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48
title_short	Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48
title_full	Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48
title_fullStr	Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48
title_full_unstemmed	Enhancement web proxy cache performance using wrapper feature selection methods with NB and J48
title_sort	enhancement web proxy cache performance using wrapper feature selection methods with nb and j48
publisher	IOP Publishing
publishDate	2017
url	http://irep.iium.edu.my/59491/ http://irep.iium.edu.my/59491/ http://irep.iium.edu.my/59491/ http://irep.iium.edu.my/59491/7/59491-Enhancement%20web%20proxy%20cache.pdf http://irep.iium.edu.my/59491/13/Enhancement%20web%20proxy%20cache%20performance%20using%20wrapper%20feature%20selection%20methods%20with%20NB%20and%20J48.pdf
first_indexed	2023-09-18T21:24:17Z
last_indexed	2023-09-18T21:24:17Z
_version_	1777412087665917952

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

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