Presentation | 2008-11-13 Decomposition of Network Traffic in the Internet Exchange Point (JP-IX) by a state space model Takayuki MIYAJIMA, Kazuo YANA, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes a statistical method to decompose network traffic time series into several characteristic variations. A state space model is constructed assuming that the network traffic consists of 1) trend, 2) periodic, 3) stationary AR, 4) holiday adjustment and 5) random components. The Maximum likelihood method is applied to estimate model parameters. As an illustrative example, the method is applied to the data observed at JPIX (Japan Internet Exchange) which reflects the overall backbone network traffic in Japan. The application showed the method is useful for quantitative characterization of the network traffic time series. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | State Space Model / Decomposition / Network Traffic / Kalman Filter / JPIX |
Paper # | NS2008-91 |
Date of Issue |
Conference Information | |
Committee | NS |
---|---|
Conference Date | 2008/11/6(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Network Systems(NS) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Decomposition of Network Traffic in the Internet Exchange Point (JP-IX) by a state space model |
Sub Title (in English) | |
Keyword(1) | State Space Model |
Keyword(2) | Decomposition |
Keyword(3) | Network Traffic |
Keyword(4) | Kalman Filter |
Keyword(5) | JPIX |
1st Author's Name | Takayuki MIYAJIMA |
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 | 2008-11-13 |
Paper # | NS2008-91 |
Volume (vol) | vol.108 |
Number (no) | 286 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |