• DocumentCode
    2401319
  • Title

    Adding Autonomic Capabilities to Network Fault Management System

  • Author

    Liu, Yan ; Jiang, Michael ; Raymer, David

  • Author_Institution
    Motorola Inc., Schaumburg
  • fYear
    2007
  • fDate
    14-16 Nov. 2007
  • Firstpage
    373
  • Lastpage
    374
  • Abstract
    In this paper, we propose an adaptive framework for adding the most desired aspects of autonomic capabilities into the critical components of a network fault management system. The aspects deemed as the most desirable are those that have a significant impact on system dependability, which include self-monitoring, self-healing, self-adjusting, and self-configuring. Self-monitoring oversees the environmental conditions and system behavior, building a consciousness ground to support self-awareness capabilities. It is responsible for monitoring the system states and environmental conditions, analyzing them and thus detecting and identifying system faults/failures. Upon detection, self-healing operations is enabled to respond (i.e. take proper actions) to the identified faults /failures. These actions are usually accomplished by self-configuring and self- adjusting the corresponding system configurations and operations. Together, all self-*approaches complete an adaptive framework and offer a sound solution towards high system assurance.
  • Keywords
    fault diagnosis; telecommunication network management; telecommunication network reliability; autonomic capability; environmental condition; network fault management system; self-adjusting; self-configuring; self-healing; self-monitoring; system behavior; system dependability; Condition monitoring; Engineering management; Fault detection; Fault diagnosis; Machine learning algorithms; Real time systems; Software algorithms; Systems engineering and theory; Telecommunication network management; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Assurance Systems Engineering Symposium, 2007. HASE '07. 10th IEEE
  • Conference_Location
    Plano, TX
  • ISSN
    1530-2059
  • Print_ISBN
    978-0-7695-3043-7
  • Type

    conf

  • DOI
    10.1109/HASE.2007.62
  • Filename
    4404764