• DocumentCode
    2926999
  • Title

    Self-Organization Based Network Architecture for New Generation Networks

  • Author

    Wakamiya, Naoki ; Arakawa, Shin´Ichi ; Murata, Masayuki

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Osaka Univ. Suita, Suita, Japan
  • fYear
    2009
  • fDate
    11-16 Oct. 2009
  • Firstpage
    61
  • Lastpage
    68
  • Abstract
    An emerging new generation network is requested to accommodate a enormous numbers of nodes with high diversity and a wide variety of traffic and applications. To achieve higher scalability, adaptability, and robustness than ever before, in this paper we present new network architecture composed of self-organizing entities. The architecture consists of the physical network layer, service overlay network layer, and common network layer mediating them. All network entities, i.e. nodes and networks, behave in a self-organizing manner, where the global behavior emerges through their operation on local information and direct and/or indirect mutual interaction. We also allow inter-layer interaction through the common network layer for a network system to be self-organized as a whole and effectively and efficiently react to unexpected failure.
  • Keywords
    telecommunication networks; telecommunication traffic; adaptability; inter-layer interaction; new generation networks; nodes; physical network layer; robustness; scalability; self-organization network architecture; service overlay network layer; Communication system traffic control; Distributed power generation; Engines; Information science; Intelligent networks; Network servers; Personal communication networks; Robustness; Scalability; Telecommunication traffic; bio-inspired networks; network architecture; new generation network; self-organization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Network Intelligence, 2009 First International Conference on
  • Conference_Location
    Sliema
  • Print_ISBN
    978-0-7695-3835-8
  • Electronic_ISBN
    978-0-7695-3835-8
  • Type

    conf

  • DOI
    10.1109/EMERGING.2009.8
  • Filename
    5369979