Traffic classification in mobile IP network

Akihiro Satoh, Toshiaki Osada, Toru Abe, Gen Kitagata, Norio Shiratori, Tetsuo Kinoshita

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings of the 4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009
    DOIs
    Publication statusPublished - 2009
    Event4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009 - Fukuoka
    Duration: 2009 Dec 202009 Dec 22

    Other

    Other4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009
    CityFukuoka
    Period09/12/2009/12/22

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Software

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