• DocumentCode
    2091546
  • Title

    Research on Policy–Based Collaboration Models in Autonomic Computing

  • Author

    Shen Qi ; Wang Mao-Guang

  • Author_Institution
    Sch. of Software Eng., Beijing Univ. of Technol., Beijing, China
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    207
  • Lastpage
    211
  • Abstract
    Autonomic computing is expected to solve system management complexity and cost problems in IT environment by enabling systems to be self-managing. The autonomic computing collaborative work based on policy-driven is studied, including competition and collaboration. The autonomic elements should work collaboratively to implement the complex self-management tasks of autonomic computing system. The competition model is proposed based on the probability policy, and the equilibrium solutions are studied and resolved. It can improve the success rate and utility for practical applications effectively.
  • Keywords
    fault tolerant computing; groupware; probability; IT environment; autonomic computing; collaborative work; complex self-management task; cost problem; policy-based collaboration model; probability policy; system management complexity; Artificial intelligence; Collaborative software; Collaborative work; Computer networks; Costs; Distributed computing; Environmental management; International collaboration; Resource management; Software engineering; autonomic computing; collaboration; competition; negotiation; policy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.233
  • Filename
    4731408