Intelligent Web caching using neurocomputing and particle swarm optimization algorithm

Web caching is a technology for improving network traffic on the internet. It is a temporary storage of Web objects (such as HTML documents) for later retrieval. There are three significant advantages to Web caching; reduced bandwidth consumption, reduced server load, and reduced latency. These rewa...

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Main Authors: Sulaiman, Sarina, Shamsuddin, Siti Mariyam, Forkan, Fadni, Abraham, Ajith
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://eprints.utm.my/7770/1/Sulaiman_Sarina_2008_Intelligent_Web_Caching_Using_Neurocomputing.pdf
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author Sulaiman, Sarina
Shamsuddin, Siti Mariyam
Forkan, Fadni
Abraham, Ajith
author_facet Sulaiman, Sarina
Shamsuddin, Siti Mariyam
Forkan, Fadni
Abraham, Ajith
author_sort Sulaiman, Sarina
collection ePrints
description Web caching is a technology for improving network traffic on the internet. It is a temporary storage of Web objects (such as HTML documents) for later retrieval. There are three significant advantages to Web caching; reduced bandwidth consumption, reduced server load, and reduced latency. These rewards have made the Web less expensive with better performance. In this paper, an Artificial Intelligence (AI) approach is introduced for Web caching to determine the type of Web request, either to cache or not, and to optimize the performance on Web cache. Two methods are employed in this study; Artificial Neural Network (ANN), and Particle Swarm Optimization (PSO). The experimental results have revealed that some improvements have been accomplished compared to the existing technique in terms of Web cache size.
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spelling utm.eprints-77702017-10-16T08:45:04Z http://eprints.utm.my/7770/ Intelligent Web caching using neurocomputing and particle swarm optimization algorithm Sulaiman, Sarina Shamsuddin, Siti Mariyam Forkan, Fadni Abraham, Ajith QA75 Electronic computers. Computer science Web caching is a technology for improving network traffic on the internet. It is a temporary storage of Web objects (such as HTML documents) for later retrieval. There are three significant advantages to Web caching; reduced bandwidth consumption, reduced server load, and reduced latency. These rewards have made the Web less expensive with better performance. In this paper, an Artificial Intelligence (AI) approach is introduced for Web caching to determine the type of Web request, either to cache or not, and to optimize the performance on Web cache. Two methods are employed in this study; Artificial Neural Network (ANN), and Particle Swarm Optimization (PSO). The experimental results have revealed that some improvements have been accomplished compared to the existing technique in terms of Web cache size. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/7770/1/Sulaiman_Sarina_2008_Intelligent_Web_Caching_Using_Neurocomputing.pdf Sulaiman, Sarina and Shamsuddin, Siti Mariyam and Forkan, Fadni and Abraham, Ajith (2008) Intelligent Web caching using neurocomputing and particle swarm optimization algorithm. In: Proceedings - 2nd Asia International Conference on Modelling and Simulation, AMS 2008 , 13-15 May 2008 . http://dx.doi.org/10.1109/AMS.2008.40
spellingShingle QA75 Electronic computers. Computer science
Sulaiman, Sarina
Shamsuddin, Siti Mariyam
Forkan, Fadni
Abraham, Ajith
Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
title Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
title_full Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
title_fullStr Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
title_full_unstemmed Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
title_short Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
title_sort intelligent web caching using neurocomputing and particle swarm optimization algorithm
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/7770/1/Sulaiman_Sarina_2008_Intelligent_Web_Caching_Using_Neurocomputing.pdf
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