| Presentation | 2012-11-16 Traffic Prediction for Dynamic Traffic Engineering Considering Traffic Variation Tatsuya OTOSHI, Yuichi OHSITA, Masayuki MURATA, Yousuke TAKAHASHI, Keisuke ISHIBASHI, Kohei SHIOMOTO, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Traffic engineering with traffic prediction is one approach to accommodate time-varying traffic adaptively. In this approach, the routes are calculated so as to avoid congestion based on the predicted traffic. The accuracy of the traffic prediction however has large impacts on this approach. In this paper, we investigate the traffic prediction methods suitable to traffic engineering, focusing on their underestimation that may cause the congestion. We evaluate the traffic prediction methods by using the actual traffic traces, and clarify that the SARIMA with the principal component analysis achieves the small underestimation without a large overestimation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Traffic Prediction / Traffic Engineering / Data Mining / Principle Component Analysis / Seasonal Autoregressive Integrated Moving Average Model |
| Paper # | NS2012-115 |
| Date of Issue |
| Conference Information | |
| Committee | NS |
|---|---|
| Conference Date | 2012/11/8(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) | Traffic Prediction for Dynamic Traffic Engineering Considering Traffic Variation |
| Sub Title (in English) | |
| Keyword(1) | Traffic Prediction |
| Keyword(2) | Traffic Engineering |
| Keyword(3) | Data Mining |
| Keyword(4) | Principle Component Analysis |
| Keyword(5) | Seasonal Autoregressive Integrated Moving Average Model |
| 1st Author's Name | Tatsuya OTOSHI |
| 1st Author's Affiliation | Grate School of Information Science and Technology, Osaka University() |
| 2nd Author's Name | Yuichi OHSITA |
| 2nd Author's Affiliation | Grate School of Information Science and Technology, Osaka University |
| 3rd Author's Name | Masayuki MURATA |
| 3rd Author's Affiliation | Grate School of Information Science and Technology, Osaka University |
| 4th Author's Name | Yousuke TAKAHASHI |
| 4th Author's Affiliation | NTT Network Technology Laboratories, NTT Corporation |
| 5th Author's Name | Keisuke ISHIBASHI |
| 5th Author's Affiliation | NTT Network Technology Laboratories, NTT Corporation |
| 6th Author's Name | Kohei SHIOMOTO |
| 6th Author's Affiliation | NTT Network Technology Laboratories, NTT Corporation |
| Date | 2012-11-16 |
| Paper # | NS2012-115 |
| Volume (vol) | vol.112 |
| Number (no) | 287 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |