Intelligent Web Proxy Cache Replacement Algorithm Based on Adaptive Weight Ranking Policy via Dynamic Aging

Olanrewaju, Rashidah Funke; Al-Qudah, Dua’a Mahmoud; Azman, Amelia Wong; Yaacob, Mashkuri

doi:10.17485/ijst/2016/v9i36/102159

“…The simulation results show that intelligent algorithms performance is better than LRU. Authors in [9] proposed a method using IWSS embedded NB feature selection method to extract the best subset feature for Naïve Bayes classifier. The Naïve Bayes classifier was later integrated with Adaptive Weight Ranking Policy via Dynamic Aging (AWRP-DA) to improve the performance of web Hit Ratio (HR) and Byte Hit Ratio (BHR).…”

Section: Related Workmentioning

confidence: 99%

“…Adaptive Weight Ranking Policy(AWRP) attempts to give weight to each page depending on three factors: recency, frequency and total number of access to be made. This overcomes the problem of traditional algorithms such as least recently used LRU, First Input First Output FIFO and Clock Adaptive Replacement CAR [8,9]. Intelligent replacement algorithms were proposed to overcome problems of conventional replacement algorithms and to enhance the performance of web cache.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

Al-Qudah

¹

,

Olanrewaju

²

,

Azman

³

2017

IJEEI

0

View full text Add to dashboard Cite

The increased usage of World Wide Web leads to increase in network traffic and create a bottleneck over the internet performance. For most people, the accessing speed or the response time is the most critical factor when using the internet. Reducing response time was done by using web proxy cache technique that 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. But, the cache size is limited, so cache replacement algorithms are used to remove pages from the cache when it 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), Randomised Policy, etc. may discard essential pages just before use. Furthermore, using conventional algorithms cannot be well optimized since it requires some decision to evict intelligently before a page is replaced. Hence, this paper proposes an integration of Adaptive Weight Ranking Policy (AWRP) with intelligent classifiers (NB-AWRP-DA and J48-AWRP-DA) via dynamic aging factor. To enhance classifiers power of prediction before integrating them with AWRP, particle swarm optimization (PSO) automated wrapper feature selection methods are used to choose the best subset of features that are relevant and influence classifiers prediction accuracy. Experimental Result shows that NB-AWRP-DA enhances the performance of web proxy cache across multi proxy datasets by 4.

show abstract

A Review on Security in Cache Memories

Sai

¹

,

Saravanan

²

2016

Indian Journal of Science and Technology

1

0

View full text Add to dashboard Cite

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

Al-Qudah

¹

,

Olanrewaju

²

,

Azman

³

2017

IJEEI

2

0

View full text Add to dashboard Cite

The increased usage of World Wide Web leads to increase in network traffic and create a bottleneck over the internet performance. For most people, the accessing speed or the response time is the most critical factor when using the internet. Reducing response time was done by using web proxy cache technique that 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. But, the cache size is limited, so cache replacement algorithms are used to remove pages from the cache when it 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), Randomised Policy, etc. may discard essential pages just before use. Furthermore, using conventional algorithms cannot be well optimized since it requires some decision to evict intelligently before a page is replaced. Hence, this paper proposes an integration of Adaptive Weight Ranking Policy (AWRP) with intelligent classifiers (NB-AWRP-DA and J48-AWRP-DA) via dynamic aging factor. To enhance classifiers power of prediction before integrating them with AWRP, particle swarm optimization (PSO) automated wrapper feature selection methods are used to choose the best subset of features that are relevant and influence classifiers prediction accuracy. Experimental Result shows that NB-AWRP-DA enhances the performance of web proxy cache across multi proxy datasets by 4.

show abstract

Intelligent Web Proxy Cache Replacement Algorithm Based on Adaptive Weight Ranking Policy via Dynamic Aging

Cited by 3 publications

References 0 publications

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

A Review on Security in Cache Memories

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

Contact Info

Product

Resources

About