• DocumentCode
    2285943
  • Title

    A model-based approach to adding autonomic capabilities to network fault management system

  • Author

    Liu, Yan ; Zhang, Jing ; Jiang, Michael ; Raymer, David ; Strassner, John

  • Author_Institution
    Motorola Autonomics Lab., Motorola Inc., Schaumburg, IL
  • fYear
    2008
  • fDate
    7-11 April 2008
  • Firstpage
    859
  • Lastpage
    862
  • Abstract
    Adding autonomic capabilities to network management systems provides great promise in delivering high QoS while lowering operation and maintenance cost. In this paper, we present a model-based approach to adding autonomic capabilities to a fault management system for cellular networks. We propose the use of modeling techniques to specify software failures and their dispositions at the model level for the target system. This facilitates the deployment of a control loop for adding autonomic capabilities into the system architecture, which include self-monitoring, self-healing, and self-adjusting. Our case study on the intelligent network fault management system illustrates the proposed approach by adding and deploying these autonomic capabilities derived from self-model specifications, to mitigate the risk of specified failures and maintain the level of healthiness of the system, dynamically and effectively.
  • Keywords
    cellular radio; fault diagnosis; quality of service; telecommunication network management; telecommunication network reliability; QoS; autonomic capabilities; fault management system; intelligent network fault management; maintenance cost; model-based approach; network fault management system; network management systems; self-model specifications; software failures; Computer architecture; Control systems; Costs; Intelligent networks; Land mobile radio cellular systems; Maintenance; Real time systems; Risk management; Software systems; Telecommunication network management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium, 2008. NOMS 2008. IEEE
  • Conference_Location
    Salvador, Bahia
  • ISSN
    1542-1201
  • Print_ISBN
    978-1-4244-2065-0
  • Electronic_ISBN
    1542-1201
  • Type

    conf

  • DOI
    10.1109/NOMS.2008.4575232
  • Filename
    4575232