• DocumentCode
    3028406
  • Title

    Role-based systems are autonomic

  • Author

    Zhu, Haibin

  • Author_Institution
    Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, ON
  • fYear
    2008
  • fDate
    14-16 Aug. 2008
  • Firstpage
    144
  • Lastpage
    152
  • Abstract
    Autonomic computing is a newly emerging computing paradigm in order to create computer systems capable of self-management and overcome the rapidly growing complexity of computing systems management. To possess self-* properties, there must be mechanisms to support self-awareness, i.e., an autonomic system should be able to perceive the abnormality of its components. After abnormality is checked, a process of self-healing or self-configuration must be completed to guarantee the system works correctly and continuously. In role-based collaboration (RBC), roles are the major media for interaction, coordination, and collaboration. A role can be used to check if a player behaves well or not. This paper investigates the possibility of using roles and a role engine to diagnose the behavior of agents, and facilitate self-* properties of a system. The paper asserts that role-based systems are autonomic.
  • Keywords
    multi-agent systems; software agents; agents; autonomic computing; computing systems management; role-based collaboration; role-based systems; Collaboration; Collaborative work; Computer network management; Computer networks; Computer science; Humans; Mathematics; Multiagent systems; Protection; Security; agents; autonomic computing; role-based systems; roles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2008. ICCI 2008. 7th IEEE International Conference on
  • Conference_Location
    Stanford, CA
  • Print_ISBN
    978-1-4244-2538-9
  • Type

    conf

  • DOI
    10.1109/COGINF.2008.4639162
  • Filename
    4639162