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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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/10356/60858 |
| _version_ | 1826117819289305088 |
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| author | Che, Jiuwei |
| author2 | Song Qing |
| author_facet | Song Qing Che, Jiuwei |
| author_sort | Che, Jiuwei |
| collection | NTU |
| 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 |
| first_indexed | 2024-10-01T04:33:35Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/60858 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:33:35Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering Che, Jiuwei Internet traffic prediction using kernel online learning |
| title | 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_short | Internet traffic prediction using kernel online learning |
| title_sort | internet traffic prediction using kernel online learning |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/60858 |
| work_keys_str_mv | AT chejiuwei internettrafficpredictionusingkernelonlinelearning |