| Presentation | 2006-05-18 A Classification Method for Bulk/Real-Time Traffic based on Flow Statistics Masaki TAI, Shingo ATA, Ikuo OKA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, streaming services to deliver video and voice are increasing rapidly. As for traffic of the Internet, two kinds (bulk/real-time) exist together in the same network now. Therefore, it is difficult to satisfy the communication quality of each traffic individually. One approach is expected that the edge router classifies the kind of traffic and provides different service for each type of traffic. Previously it is easy to identify real-time traffic by checking the protocol/port number in IP header, however, it becomes more difficult due to the existence of streaming traffic over TCP traffic connections. Moreover, detection of real-time traffic over a kind of overlay network such as P2P or VPN is neither easy. In this paper, we propose a new identification method for real-time traffic based on not checking the protocol number, but analyzing the statistical characteristics of packet arrivals. Through experiments by using the monitored data, our proposed method can effectively identify real-time traffics from all of TCP flows. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | streaming / real-time traffic / traffic identification / classification / flow analysis |
| Paper # | NS2006-28 |
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| Conference Information | |
| Committee | NS |
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| Conference Date | 2006/5/11(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) | A Classification Method for Bulk/Real-Time Traffic based on Flow Statistics |
| Sub Title (in English) | |
| Keyword(1) | streaming |
| Keyword(2) | real-time traffic |
| Keyword(3) | traffic identification |
| Keyword(4) | classification |
| Keyword(5) | flow analysis |
| 1st Author's Name | Masaki TAI |
| 1st Author's Affiliation | Graduate School of Engineering, Osaka City University() |
| 2nd Author's Name | Shingo ATA |
| 2nd Author's Affiliation | Graduate School of Engineering, Osaka City University |
| 3rd Author's Name | Ikuo OKA |
| 3rd Author's Affiliation | Graduate School of Engineering, Osaka City University |
| Date | 2006-05-18 |
| Paper # | NS2006-28 |
| Volume (vol) | vol.106 |
| Number (no) | 41 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |