• DocumentCode
    2418447
  • Title

    Fuzzy End-to-End Rate Control for Internet Transport Protocols

  • Author

    Montesino, Federico ; Lopez, Diego R. ; Barriga, Ángel ; Sánchez-Solano, Santiago

  • Author_Institution
    Spanish Sci. Res. Council, Seville
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1347
  • Lastpage
    1354
  • Abstract
    End-to-end Internet packet dynamics is a complex problem for which models available to date are at best incomplete. A major research problem in Internet transport layer protocols is the development of rate control mechanisms that can cope with the requirements of a growing diversity of technologies, applications and services. This paper describes novel mechanisms for intelligent end-to-end traffic rate control in Internet by means of fuzzy systems. We first outline a fuzzy logic based generalization of TCP (Transport Control Protocol) rate control principles. The design of a fuzzy TCP-like window-based rate controller is then described. A systematic fuzzy systems design methodology is used in order to simulate and implement the system as an experimental tool. A comparative evaluation of simulation and implementation results from the fuzzy rate controller as compared to that of traditional controllers is outlined. Besides being a useful modelling approach, the fuzzy rule based rate controller is shown to outperform other approaches with regards to a number of criteria.
  • Keywords
    Internet; fuzzy control; fuzzy systems; telecommunication traffic; transport protocols; Internet packet dynamics; Internet transport protocol; TCP-like window-based rate controller; fuzzy end-to-end rate control; fuzzy logic based generalization; fuzzy system; intelligent end-to-end traffic rate control; transport control protocol; Control systems; Design methodology; Feedback loop; Fuzzy control; Fuzzy logic; Fuzzy systems; IP networks; Traffic control; Transport protocols; Web and internet services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2006 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9488-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.2006.1681885
  • Filename
    1681885