• DocumentCode
    2491339
  • Title

    Reconstruction mechanism based on distributed intelligent agents for network management

  • Author

    Li, Hang ; Meng, Lei

  • Author_Institution
    Shenyang Normal Univ., Shenyang
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    5143
  • Lastpage
    5147
  • Abstract
    In order to promote the reliability of network management, a fault tolerant reconstruction mechanism based on distributed intelligent agents is proposed. In a centralized management domain, domain manager is the most important node. So there are a number of distributed intelligent agents that own part or entire function of domain manager as management redundancies. Through the redundancies, it is assured once the domain manager is in invalidate state, the distributed intelligent agents elect the best management ability agent to replace primary manager and reconstructed management domain. This paper puts forward a two-phase fault tolerance reconstruction algorithm with the ability of fault tolerance. Besides, it also gives the formal description of the algorithm and the complex analysis, as well as illustrating the advantage of this algorithm. Moreover, this paper also explains the entity structure of distributed agents.
  • Keywords
    computer network management; computer network reliability; fault tolerant computing; multi-agent systems; centralized management domain; distributed intelligent agents; fault tolerant reconstruction mechanism; network management; network management reliability; Algorithm design and analysis; Automation; Fault tolerance; Fault tolerant systems; Intelligent agent; Intelligent control; Large-scale systems; Nominations and elections; Reconstruction algorithms; Redundancy; distributed intelligent agent; fault-tolerant; network management; reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593766
  • Filename
    4593766