• DocumentCode
    2817610
  • Title

    Modeling of network switch controlled by neural network

  • Author

    Polivka, Michal ; Skorpil, Vladislav

  • Author_Institution
    Dept. of Telecommun., Brno Univ. of Technol., Brno, Czech Republic
  • fYear
    2012
  • fDate
    3-4 July 2012
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    Conventional switches are usually controlled by a manually defined algorithm implemented in the network processor. The conventional methods of control are fast, reliable and transparent. The article deals with alternative method of switch control - based on a neural network, focused on Quality of Service. The article describes the designed model, simulation and summarizes the results.
  • Keywords
    backpropagation; feedforward neural nets; neural chips; switching networks; feedforward backpropagation neural network; network processor; network switch controlled modeling; quality-of-service; Arrays; Fabrics; Generators; Mathematical model; Neural networks; Switches; MATLAB; modeling; neural network; switch; switching algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications and Signal Processing (TSP), 2012 35th International Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4673-1117-5
  • Type

    conf

  • DOI
    10.1109/TSP.2012.6256274
  • Filename
    6256274