• DocumentCode
    3385102
  • Title

    Immunevonics: Avionics fault tolerance inspired by the biology system

  • Author

    Wang, Guodong ; Wang, Chong ; Zhou, Bo ; Zhai, Zheugjun

  • Author_Institution
    Sch. of Comput., Northwestern Polytech. Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2009
  • fDate
    28-29 Nov. 2009
  • Firstpage
    123
  • Lastpage
    126
  • Abstract
    A novel approach to Advanced Avionics fault tolerance is proposed that takes inspiration from the intersection of human immune system and nervous system as a method of fault recognition and removal. The human body´s defenses-the immune system, the sense of pain, and the healing processes-could serve as a conceptual model for high-confidence systems in advance avionics fault tolerance. In this paper we propose a hybrid fault tolerance instrument that suitable for Advanced Avionics system, by use distribute `body´ immune system and central `nervous´ system management principle. Through an artificial immune algorithm the proposed Advanced Avionics `body´ immune system will learn to differentiate between acceptable and abnormal states and transitions within the `immunized´ system. Potential faults can then be flagged and suitable recovery methods invoked to return the system to a safe state. When the `body´ immune system can not handle the fault then a `pain´ message being reported to Operating System health monitor system (OS-HM) and central `nervous´ system will tolerant the fault through a three layered Preconscious health monitor and conscious fault handling strategy.
  • Keywords
    aerospace computing; artificial immune systems; avionics; biocomputing; fault tolerance; neurophysiology; advanced avionics fault tolerance; artificial immune algorithm; biology system; central nervous system management; distribute body immune system management; human body defenses; human immune system; human nervous system; hybrid fault tolerance instrument; immunevonics; operating system health monitor system; pain message; Aerospace electronics; Biological system modeling; Fault tolerant systems; Humans; Immune system; Instruments; Monitoring; Nervous system; Operating systems; Pain; Advanced Avionics; fault handling; fault tolerance; health monitor; immune system; nervous system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4606-3
  • Type

    conf

  • DOI
    10.1109/PACIIA.2009.5406480
  • Filename
    5406480