• DocumentCode
    1950643
  • Title

    Schedulability analysis of Multi-Frame messages over Controller Area Networks with mixed-queues

  • Author

    Meng Liu ; Behnam, Moris ; Nolte, Thomas

  • Author_Institution
    Malardalen Univ., Vasteras, Sweden
  • fYear
    2013
  • fDate
    10-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The Controller Area Network (CAN) is one of the most widely utilized real-time communication networks, which has plenty of applications especially in automotive industry. Many works have been proposed regarding the CAN schedulability analysis which is very important for guaranteeing the safety and reliability of hard real-time systems. Most of the existing analysis methods assume a periodic message model, and some of them take sporadic messages into account. However, for some applications, message transmissions may follow a specific pattern instead of repeating the same transmission period by period, where applying the existing methods may include much pessimism. In this paper, we apply the Multi-Frame task model, which is first proposed by Mok and Chen in [1], on messages over a CAN-based system with mixed message queues. In this preliminary work, the analysis is based on some specific assumptions. A more general analysis will be investigated in our later works.
  • Keywords
    controller area networks; scheduling; CAN based system; CAN schedulability analysis; automotive industry; controller area networks; general analysis; message transmissions; mixed message queues; multiframe messages; multiframe task model; periodic message model; real time communication networks; real time systems; reliability; safety; sporadic messages; Delays; Interference; Jitter; Queueing analysis; Real-time systems; Sensors; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
  • Conference_Location
    Cagliari
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4799-0862-2
  • Type

    conf

  • DOI
    10.1109/ETFA.2013.6648082
  • Filename
    6648082