• DocumentCode
    2591079
  • Title

    Algorithmic and architectural methods for performance enhancement of avionics systems

  • Author

    Duren, Russell W.

  • Author_Institution
    Baylor Univ., Waco, TX, USA
  • fYear
    2009
  • fDate
    23-29 Oct. 2009
  • Abstract
    Many studies on managing obsolescence and refreshing technology concentrate on replacing hardware to improve the performance of legacy systems. In contrast, the author´s research has concentrated on the development of methods that can significantly enhance the performance of legacy systems while requiring few or no hardware modifications. If hardware replacement is allowed, these methods can be leveraged to further improve the upgraded systems. The methods can be characterized either as algorithmic or architectural methods. Algorithmic methods include techniques such as new data compression routines. A previous paper by the author and a fellow researcher has presented data compression routines that are suitable for implementation on legacy MIL-STD-1553 data buses. As expected, these routines where shown to increase the communication throughput. What may be less obvious is that they also increased the time available to perform computation. Architectural techniques include repartitioning of software functions and/or communications to free system resources. This paper presents these and other methods for increasing the performance of legacy avionics systems. The same techniques can also be applied to improve the design of new systems.
  • Keywords
    avionics; algorithmic methods; architectural techniques; avionics systems; Aerospace electronics; Computer architecture; Data buses; Data compression; Fellows; Hardware; Military computing; Real time systems; Technology management; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference, 2009. DASC '09. IEEE/AIAA 28th
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4244-4078-8
  • Type

    conf

  • DOI
    10.1109/DASC.2009.5347563
  • Filename
    5347563