• DocumentCode
    2507721
  • Title

    Novel management architecture for large-scale server cluster

  • Author

    Xue, Zhenghua ; Dong, Xiaoshe ; Fan, Shengqun

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Xian Jiaotong Univ., Xian
  • fYear
    2008
  • fDate
    8-11 July 2008
  • Firstpage
    273
  • Lastpage
    278
  • Abstract
    As the size of the server cluster increases, management of clusters has been a daunting task. This paper proposed novel management architecture for large-scale server clusters, called cooperation-oriented hierarchical autonomic architecture (CHAA). CHAA emphasizes the autonomy of entities to implement intelligent management of server clusters. We detailed the architectures of CHAA and the intelligent agents. The resource tree based constraining mechanism has been presented to achieve conflict-free cooperation of multiple autonomous entities. Considering the uncertainty of agentspsila commitments, we introduced fuzzy belief and confidence degree into cooperation method of multi-agent. The measurements on confidence degree (cd) showed that agents have higher probabilities of gaining the best method or the best agent to cooperate with by introducing cd as a metric of cooperation.
  • Keywords
    large-scale systems; multi-agent systems; pattern clustering; software architecture; confidence degree; conflict-free cooperation; cooperation-oriented hierarchical autonomic architecture; fuzzy belief; intelligent management; large-scale server cluster; management architecture; multiagent method; multiple autonomous entities; Clustering algorithms; Computer architecture; Engines; Hardware; International collaboration; Large-scale systems; Load management; Scalability; Software agents; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology, 2008. CIT 2008. 8th IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-2357-6
  • Electronic_ISBN
    978-1-4244-2358-3
  • Type

    conf

  • DOI
    10.1109/CIT.2008.4594686
  • Filename
    4594686