• DocumentCode
    2695166
  • Title

    Applying artificial immune systems to real-time embedded systems

  • Author

    Lay, Nicholas ; Bate, Iain

  • Author_Institution
    Univ. of York, York
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    3743
  • Lastpage
    3750
  • Abstract
    Real-time systems are becoming more complex at the same time as the expectation of adaptability and dependability rises. Traditional methods for ensuring no faults in the design or identifying their source are labour intensive and overly restrictive. In this paper we explore how concepts of AIS can be applied to RTS to aid their design and maintenance. Contributions are made to both the AIS and RTS communities.
  • Keywords
    artificial immune systems; embedded systems; program diagnostics; safety-critical software; software maintenance; RTS design; RTS maintenance; anomaly detection; artificial immune systems; deadline overruns; dendrite cells; real-time embedded systems; Artificial immune systems; Embedded system; Evolutionary computation; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424958
  • Filename
    4424958