| Autor: |
Tetsuo Kinoshita, Norio Shiratori, Toru Abe, Toshiaki Osada, Gen Kitagata, Akihiro Satoh |
| Rok vydání: |
2009 |
| Předmět: |
|
| Zdroj: |
Proceedings of the 4th International Conference on Ubiquitous Information Technologies & Applications. |
| DOI: |
10.1109/icut.2009.5405754 |
| Popis: |
Traffic classification is an essential task for network management. Thus many researchers have paid attention to initial sub-flow features based classifiers for achieving online traffic classification. However, the existing classifiers cannot classify traffic effectively in mobile IP network, because they cannot always capture the initial sub-flow when a communicating node moves and its point of attachment changes. Desirable classifier should thus be capable of traffic classification based on not only initial sub-flow but also various types of sub-flow. In this paper, we propose sub-flow selection with application behaviors, and the method solves a critical problem of how to select appropriate sub-flows for achieving traffic classification in mobile IP network. Although at a very early stage of development, the proposed method shows promising preliminary results through the experiments on a reduced set of applications. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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