Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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A Classifiable Sub-Flow Selection Method for Traffic Classification in Mobile IP Networks

  • Satoh, Akihiro (Graduate School of Information Sciences, Tohoku University) ;
  • Osada, Toshiaki (Research Institute of Electrical Communication, Tohoku University) ;
  • Abe, Toru (Cyberscience Center, Tohoku University) ;
  • Kitagata, Gen (Research Institute of Electrical Communication, Tohoku University) ;
  • Shiratori, Norio (Research Institute of Electrical Communication, Tohoku University) ;
  • Kinoshita, Tetsuo (Research Institute of Electrical Communication, Tohoku University)
  • Received : 2010.04.30
  • Accepted : 2010.08.23
  • Published : 2010.09.30
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Abstract

Traffic classification is an essential task for network management. Many researchers have paid attention to initial sub-flow features based classifiers for traffic classification. However, the existing classifiers cannot classify traffic effectively in mobile IP networks. The classifiers depend on initial sub-flows, but they cannot always capture the sub-flows at a point of attachment for a variety of elements because of seamless mobility. Thus the ideal classifier should be capable of traffic classification based on not only initial sub-flows but also various types of sub-flows. In this paper, we propose a classifiable sub-flow selection method to realize the ideal classifier. The experimental results are so far promising for this research direction, even though they are derived from a reduced set of general applications and under relatively simplifying assumptions. Altogether, the significant contribution is indicating the feasibility of the ideal classifier by selecting not only initial sub-flows but also transition sub-flows.

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