• DocumentCode
    1598363
  • Title

    Component-Based Self-Healing via Cellular Adaptation

  • Author

    Bisadi, Maryam ; Sharifi, Mohsen

  • Author_Institution
    Comput. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran
  • fYear
    2009
  • Firstpage
    75
  • Lastpage
    81
  • Abstract
    Self-healing is a way for tackling the ever increasing complexities to manage and fix manually computer software. This paper proposes a cellular adaptation inspired mechanism to make a component based distributed system self heal. In this mechanism components of distributed system are seen as cellules of body. Environmental changes in our body cause cellular adaptations; similarly, changes incomponents´ environment cause system reconfiguration. Healing is done by healer components. Each node has one healer component that monitors components residing in that node. The system is monitored via monitoring messages that pass through components and it is adapted by reconfiguration. Components of system are considered as black boxes to keep the code of components intact even when they are self healed. The proposed mechanism is evaluated by running a scenario that is implemented in CORBA Component Model (CCM). The CCM is a serverside component model for building and deploying CORBA applications.
  • Keywords
    distributed object management; object-oriented programming; software fault tolerance; system monitoring; system recovery; cellular adaptation; component-based distributed system; self-healing software; system failure prevention; system monitoring; Adaptive systems; Biology computing; Computer architecture; Conference management; Distributed computing; Engineering management; Humans; Monitoring; Software systems; Technology management; Autonomous Computing; Distributed; Self Healing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomic and Autonomous Systems, 2009. ICAS '09. Fifth International Conference on
  • Conference_Location
    Valencia
  • Print_ISBN
    978-1-4244-3684-2
  • Electronic_ISBN
    978-0-7695-3584-5
  • Type

    conf

  • DOI
    10.1109/ICAS.2009.61
  • Filename
    4976584