Internet traffic prediction using kernel online learning

Nowadays, with the development and popularity of network, internet has been widely used around the world. To satisfy the demand for the network, we need to supply the flow more efficiently. In this case, we aim to come with a manner to predict the future internet traffic accurately. At the beginn...

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Main Author: Che, Jiuwei
Other Authors: Song Qing
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/60858
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-608582023-07-07T16:53:16Z Internet traffic prediction using kernel online learning Che, Jiuwei Song Qing School of Electrical and Electronic Engineering DRNTU::Engineering Nowadays, with the development and popularity of network, internet has been widely used around the world. To satisfy the demand for the network, we need to supply the flow more efficiently. In this case, we aim to come with a manner to predict the future internet traffic accurately. At the beginning, I concentrate on obtaining the information and knowledge of the project, because this problem need to be solved by the kernel recursive least square algorithms which is totally fresh for me. And after the first period, I start to make the program on Matlab based on the papers I have gone through. Most of the equations and expressions I have used are from the appendix A. And the last step for me is to modify and improve the performance of the program which will be presented more detailed in the following pages Bachelor of Engineering 2014-06-02T03:53:30Z 2014-06-02T03:53:30Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60858 en Nanyang Technological University 134 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Che, Jiuwei
Internet traffic prediction using kernel online learning
description Nowadays, with the development and popularity of network, internet has been widely used around the world. To satisfy the demand for the network, we need to supply the flow more efficiently. In this case, we aim to come with a manner to predict the future internet traffic accurately. At the beginning, I concentrate on obtaining the information and knowledge of the project, because this problem need to be solved by the kernel recursive least square algorithms which is totally fresh for me. And after the first period, I start to make the program on Matlab based on the papers I have gone through. Most of the equations and expressions I have used are from the appendix A. And the last step for me is to modify and improve the performance of the program which will be presented more detailed in the following pages
author2 Song Qing
author_facet Song Qing
Che, Jiuwei
format Final Year Project
author Che, Jiuwei
author_sort Che, Jiuwei
title Internet traffic prediction using kernel online learning
title_short Internet traffic prediction using kernel online learning
title_full Internet traffic prediction using kernel online learning
title_fullStr Internet traffic prediction using kernel online learning
title_full_unstemmed Internet traffic prediction using kernel online learning
title_sort internet traffic prediction using kernel online learning
publishDate 2014
url http://hdl.handle.net/10356/60858
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