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 Dec 1
Event4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009 - Fukuoka, Japan
Duration: 2009 Dec 202009 Dec 22

Publication series

NameProceedings of the 4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009

Other

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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