Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging

Rapid growth in network services and vast usage of Internet worldwide have led to an increase in network traffic and created bottleneck over the internet. Such traffic results in an increase of access time of web documents, server response latency, reduced network bandwidth and slow response time fo...

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Main Authors:	Olanrewaju, Rashidah Funke, Al-Qudah, Dua'a Mahmoud Mohammad, Azman, Amelia Wong, Yaacob, Mashkuri
Format:	Article
Language:	English
Published:	2016
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/53012/ http://irep.iium.edu.my/53012/ http://irep.iium.edu.my/53012/ http://irep.iium.edu.my/53012/1/Indian%20Journal_Rashidah.pdf

id	iium-53012
recordtype	eprints
spelling	iium-530122017-08-01T00:51:26Z http://irep.iium.edu.my/53012/ Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging Olanrewaju, Rashidah Funke Al-Qudah, Dua'a Mahmoud Mohammad Azman, Amelia Wong Yaacob, Mashkuri TK7885 Computer engineering Rapid growth in network services and vast usage of Internet worldwide have led to an increase in network traffic and created bottleneck over the internet. Such traffic results in an increase of access time of web documents, server response latency, reduced network bandwidth and slow response time for popular websites. Web cache is an essential optimization technique used to reduce response time and improve performance. However due to its limited size and cost of cache comparable to other storage devices, cache replacement algorithm is used to determine and evict page when the cache is full to create space for new pages. Several algorithms had been introduced and their performances are important in producing high speed web caching. However, their performances are not well optimized. This work proposes a hybrid method that optimize cache replacement algorithm using Naïve Bayes (NB) based approach. Naïve Bayes is an intelligent method that depends on Bayes’ probability theory integrated with Adaptive Weight Ranking Policy (AWRP) via dynamic aging factor to improve the response time and network performance. From the pseudocode of the proposed algorithm, it is observed that the complexity of the algorithm is O(n) which is linear, hence the response time is considered good. Performance evaluations based on hit rate and byte hit rate for the new method over conventional methods with real data will be conducted for validation and verification 2016-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/53012/1/Indian%20Journal_Rashidah.pdf Olanrewaju, Rashidah Funke and Al-Qudah, Dua'a Mahmoud Mohammad and Azman, Amelia Wong and Yaacob, Mashkuri (2016) Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging. Indian Journal of Science and Technology, 9 (36). pp. 1-7. ISSN 0974-6846 E-ISSN 0974-5645 http://www.indjst.org/index.php/indjst/article/view/102159/73649 10.17485/ijst/2016/v9i36/102159
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Olanrewaju, Rashidah Funke Al-Qudah, Dua'a Mahmoud Mohammad Azman, Amelia Wong Yaacob, Mashkuri Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging
description	Rapid growth in network services and vast usage of Internet worldwide have led to an increase in network traffic and created bottleneck over the internet. Such traffic results in an increase of access time of web documents, server response latency, reduced network bandwidth and slow response time for popular websites. Web cache is an essential optimization technique used to reduce response time and improve performance. However due to its limited size and cost of cache comparable to other storage devices, cache replacement algorithm is used to determine and evict page when the cache is full to create space for new pages. Several algorithms had been introduced and their performances are important in producing high speed web caching. However, their performances are not well optimized. This work proposes a hybrid method that optimize cache replacement algorithm using Naïve Bayes (NB) based approach. Naïve Bayes is an intelligent method that depends on Bayes’ probability theory integrated with Adaptive Weight Ranking Policy (AWRP) via dynamic aging factor to improve the response time and network performance. From the pseudocode of the proposed algorithm, it is observed that the complexity of the algorithm is O(n) which is linear, hence the response time is considered good. Performance evaluations based on hit rate and byte hit rate for the new method over conventional methods with real data will be conducted for validation and verification
format	Article
author	Olanrewaju, Rashidah Funke Al-Qudah, Dua'a Mahmoud Mohammad Azman, Amelia Wong Yaacob, Mashkuri
author_facet	Olanrewaju, Rashidah Funke Al-Qudah, Dua'a Mahmoud Mohammad Azman, Amelia Wong Yaacob, Mashkuri
author_sort	Olanrewaju, Rashidah Funke
title	Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging
title_short	Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging
title_full	Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging
title_fullStr	Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging
title_full_unstemmed	Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging
title_sort	intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging
publishDate	2016
url	http://irep.iium.edu.my/53012/ http://irep.iium.edu.my/53012/ http://irep.iium.edu.my/53012/ http://irep.iium.edu.my/53012/1/Indian%20Journal_Rashidah.pdf
first_indexed	2023-09-18T21:15:04Z
last_indexed	2023-09-18T21:15:04Z
_version_	1777411507911393280

Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging

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