• DocumentCode
    395553
  • Title

    Towards immune inspired fault tolerance in embedded systems

  • Author

    Timmis, Jon ; De Lemos, Roghrio ; Ayara, Modupe ; Duncan, Ross

  • Author_Institution
    Comput. Lab., Kent Univ., Canterbury, UK
  • Volume
    3
  • fYear
    2002
  • fDate
    18-22 Nov. 2002
  • Firstpage
    1459
  • Abstract
    The immune system is a remarkable natural system that is proving to be of great inspiration to computer scientists and engineers alike. This paper discusses the role that the immune system can play in the development of fault tolerant embedded systems. Initial work in the area has highlighted the use of the immune process of negative selection, and more importantly the concept of self/non-self discrimination in the application of artificial immune systems to fault tolerance. This paper reviews those works, highlights issues relating to the way in which this area is approached, and raises important points that need to be considered before effective immune inspired fault tolerant systems can be constructed.
  • Keywords
    artificial intelligence; embedded systems; fault tolerant computing; large-scale systems; antibodies; antigenic binding; complex systems; embedded systems; fault tolerance; immune system; learning; negative selection; Application software; Artificial immune systems; Biology computing; Computational intelligence; Computer security; Embedded system; Fault tolerant systems; Immune system; Laboratories; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
  • Print_ISBN
    981-04-7524-1
  • Type

    conf

  • DOI
    10.1109/ICONIP.2002.1202862
  • Filename
    1202862