• DocumentCode
    2585472
  • Title

    Aperiodic traffic in response time analyses with adjustable safety level

  • Author

    Khan, Dawood A. ; Navet, Nicolas ; Bavoux, Bernard ; Migge, Jörn

  • Author_Institution
    INPL, INRIA, Vandoeuvre-les-Nancy, France
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    In distributed real-time systems it is crucial to ensure the temporal validity of the data exchanged among the nodes. Classically, the frame worst case response time (WCRT) analyses, and the software tools which implement them, do not take into account the aperiodic traffic. One of the main reasons for this is that the aperiodic traffic is generally very difficult to characterize (i.e., the arrival patterns of the aperiodic frames). The consequence of this is that one tends to underestimate the WCRT, which may have an impact on the overall safety of the system. In this paper, we propose a probabilistic approach to model the aperiodic traffic and integrate it into response time analysis. The approach allows the system designer to choose the safety level of the analysis based on the system´s dependability requirements. Compared to existing deterministic approaches the approach leads to more realistic WCRT evaluation and thus to a better dimensioning of the hardware platform.
  • Keywords
    distributed processing; formal specification; probability; real-time systems; scheduling; software tools; adjustable safety level; aperiodic traffic; distributed real-time system; probabilistic approach; schedulability; software tool; system dependability requirement; worst case response time analysis; Context modeling; Delay; Equations; Hardware; Histograms; Pattern analysis; Real time systems; Software tools; Traffic control; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
  • Conference_Location
    Mallorca
  • ISSN
    1946-0759
  • Print_ISBN
    978-1-4244-2727-7
  • Electronic_ISBN
    1946-0759
  • Type

    conf

  • DOI
    10.1109/ETFA.2009.5347149
  • Filename
    5347149