| Presentation | 2009-09-10 Decomposition of Network Traffic by a space state model Yasuhiro AMANO, Kazuo YANA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a method of WAN traffic decomposition. A state space model is constructed for the incoming WAN traffic observed at the gateway node of Hosei University. Particle filter and Kalman filter are compared for the signal decomposition based on the same state space model. Maximum likelihood method is utilized for the meta parameters estimation. It was shown that the rapid sporadic state change can be well detected by the particle filter. The particle filter may be useful for the decomposition of WAN traffic with sporadic abrupt burst component. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | State Space Model / Network Traffic / Kalman Filter / Particle Filter |
| Paper # | NS2009-62 |
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| Conference Information | |
| Committee | NS |
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| Conference Date | 2009/9/3(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Network Systems(NS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Decomposition of Network Traffic by a space state model |
| Sub Title (in English) | |
| Keyword(1) | State Space Model |
| Keyword(2) | Network Traffic |
| Keyword(3) | Kalman Filter |
| Keyword(4) | Particle Filter |
| 1st Author's Name | Yasuhiro AMANO |
| 1st Author's Affiliation | College of Engineering, Hosei University() |
| 2nd Author's Name | Kazuo YANA |
| 2nd Author's Affiliation | College of Engineering, Hosei University |
| Date | 2009-09-10 |
| Paper # | NS2009-62 |
| Volume (vol) | vol.109 |
| Number (no) | 188 |
| Page | pp.pp.- |
| #Pages | 5 |
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