• DocumentCode
    581413
  • Title

    Exploring the worst-case timing of Ethernet AVB for industrial applications

  • Author

    Diemer, Jonas ; Rox, Jonas ; Ernst, Rolf ; Chen, Feng ; Kremer, Karl-Theo ; Richter, Kai

  • Author_Institution
    Inst. of Comput. & Network Eng., Tech. Univ. Braunschweig, Braunschweig, Germany
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    3182
  • Lastpage
    3187
  • Abstract
    Predictable and low-latency communication timing is one of the major challenges for employing Ethernet-based networks in industrial automation. The evolving Ethernet AVB standard appears to be a promising architecture, as it provides mechanisms for predictable timing with standard Ethernet hardware. However, the worst-case timing of Ethernet AVB still has to be evaluated. In this paper, we analyze the timing of Ethernet AVB using both simulation and a formal worst-case analysis based on Compositional Performance Analysis known from embedded computing systems. We investigate two industrial scenarios, a typical line topology and a more complex two-level network, and compare the results from analysis and simulation. This allows us get a good indication of the applicability of the current Ethernet AVB with respect to predictable low-latency timing in industrial automation networks. We also gain an understanding of the benefits and limitations of formal Compositional Performance Analysis compared to simulation in this context.
  • Keywords
    computer network performance evaluation; embedded systems; industrial control; local area networks; telecommunication network topology; timing; video communication; Ethernet AVB standard; Ethernet-based networks; audio-video bridging standard; complex two-level network; compositional performance analysis; embedded computing systems; formal compositional performance analysis; formal worst-case analysis; industrial applications; industrial automation networks; line topology; low-latency communication timing; predictable timing; standard Ethernet hardware; worst-case timing; Artificial neural networks; Bridges; Context; Context modeling; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6389389
  • Filename
    6389389