• DocumentCode
    1608202
  • Title

    Simplifying Network Management with Fuzzy Logic

  • Author

    Sohail, Shaleeza ; Khanum, Aasia

  • Author_Institution
    Dept. of Comput. Eng., NUST, Rawalpindi
  • fYear
    2008
  • Firstpage
    195
  • Lastpage
    201
  • Abstract
    This paper advocates the use of machine learning for complex network management tasks. Specifically, this paper describes a novel idea of using fuzzy logic for effective network management, as the use of imprecise and linguistic information for intelligent decision making, can reduce the overhead of extensive network measurements for management purpose. It also describes the distinguishing features of network management that makes fuzzy logic suitable to be used in this field. Among a huge number of possible applications of this idea in broad area of network management, this paper briefly discusses few options that we are planning to explore further. In addition, it discusses one such option in detail.
  • Keywords
    IP networks; computer network management; decision making; fuzzy logic; learning (artificial intelligence); telecommunication computing; IP network; fuzzy logic; intelligent decision making; machine learning; network management; Computer network management; Decision making; Engineering management; Fuzzy logic; IP networks; Intelligent networks; Machine learning; Machine learning algorithms; Resource management; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Workshops, 2008. ICC Workshops '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2052-0
  • Electronic_ISBN
    978-1-4244-2052-0
  • Type

    conf

  • DOI
    10.1109/ICCW.2008.42
  • Filename
    4531890