• DocumentCode
    2568662
  • Title

    A Unified Framework for Flow Classification

  • Author

    Anantavrasilp, Isara

  • Author_Institution
    Dept. of Comput. Sci., Tech. Univ. Dresden, Dresden, Germany
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    578
  • Lastpage
    582
  • Abstract
    IP traffic or Internet flow classification has played an important role in many network activities. Many works have been carried out for the past several years targeting different goals including Quality-of-Service support, security, management, and provisioning. However, these approaches are developed and evaluated separately without a general model that can be used to identify, categorize, and compare them. Thus, it is difficult for a newcomer to understand the principle of flow classification and to find a suitable method for her domain. This paper brings forth a mathematical model that describes the flow classification components and processes on an abstract level. We then classify existing flow classification approaches and compare them in a unified framework.
  • Keywords
    IP networks; quality of service; telecommunication traffic; IP traffic; Internet flow; Quality-of-Service management; Quality-of-Service provisioning; Quality-of-Service security; Quality-of-Service support; flow classification; Application software; Computer science; Feature extraction; Helium; Intelligent networks; Mathematical model; Real time systems; Signal processing; Telecommunication traffic; Traffic control; classification model; flow classfication; flow classification review; qos; traffic modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    2009 International Conference on Signal Processing Systems
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3654-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2009.97
  • Filename
    5166853