• DocumentCode
    2169712
  • Title

    Towards the knowledge-driven benchmarking of autonomic communications

  • Author

    Lewis, David ; O´ Sullivan, D. ; Keeney, John

  • Author_Institution
    Knowledge & Data Eng. Group, Trinity Coll. Dublin
  • fYear
    0
  • fDate
    0-0 0
  • Lastpage
    505
  • Abstract
    Currently a wide range of different adaptive and intelligent system solutions are being proposed for use in self-managing or autonomic networks. However, there are few means by which such proposals can be compared. This paper proposes that a benchmark be developed for autonomic systems so that progress in this field can be more systematically evaluated. Our approach assumes that autonomic systems make use of and thus expose a knowledge based representation of the service they offer, the context they react to and the governance to which they are subject. This position paper focuses on some of the issues that arise when formulating a benchmark for autonomic communications and is intended to form the basis for further discussion in the area
  • Keywords
    adaptive systems; artificial intelligence; benchmark testing; computer network management; knowledge representation; adaptive system; autonomic communication; intelligent system solution; knowledge-driven benchmarking; self-managing network; Adaptive systems; Artificial intelligence; Context; Control systems; Costs; Data engineering; Educational institutions; Humans; Monitoring; Pervasive computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World of Wireless, Mobile and Multimedia Networks, 2006. WoWMoM 2006. International Symposium on a
  • Conference_Location
    Buffalo-Niagara Falls, NY
  • Print_ISBN
    0-7695-2593-8
  • Type

    conf

  • DOI
    10.1109/WOWMOM.2006.110
  • Filename
    1648504