Presentation | 2011-12-16 Adaptive Short Term Prediction of JPIX Traffic Volume based on the Singular Value Decomposition Hirohisa HAMADA, Hirotaka ISHIBASHI, Masato YAMASHITA, Kazuo YANA, |
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Abstract(in English) | This paper proposes an adaptive method for the JPIX (Japan Internet Exchange) network traffic prediction. Singular value decomposition is applied to the daily JPIX traffic data for a certain time period (1-2 months) to extract the orthogonal time series underlying the traffic data. Then an adaptive algorithm is applied for updating the weight vector characterize the current network traffic which enable the traffic prediction. The method was applied to the JPIX traffic data for May 30, 2011-July 31, 2011 to predict the subsequent week. The method achieved a good prediction accuracy of average 1.85%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Network traffic prediction / JPIX / Japan Internet exchange / Singular value decomposition |
Paper # | IN2011-116 |
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Committee | IN |
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Conference Date | 2011/12/8(1days) |
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Registration To | Information Networks (IN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Adaptive Short Term Prediction of JPIX Traffic Volume based on the Singular Value Decomposition |
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Keyword(1) | Network traffic prediction |
Keyword(2) | JPIX |
Keyword(3) | Japan Internet exchange |
Keyword(4) | Singular value decomposition |
1st Author's Name | Hirohisa HAMADA |
1st Author's Affiliation | Graduate School of Engineering, Hosei University() |
2nd Author's Name | Hirotaka ISHIBASHI |
2nd Author's Affiliation | Graduate School of Engineering, Hosei University |
3rd Author's Name | Masato YAMASHITA |
3rd Author's Affiliation | Faculty of Science and Engineering, Hosei University |
4th Author's Name | Kazuo YANA |
4th Author's Affiliation | Graduate School of Engineering, Hosei University:Faculty of Science and Engineering, Hosei University |
Date | 2011-12-16 |
Paper # | IN2011-116 |
Volume (vol) | vol.111 |
Number (no) | 346 |
Page | pp.pp.- |
#Pages | 5 |
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