• DocumentCode
    2956549
  • Title

    Traffic classification and observer design of cable networks

  • Author

    Gao, Haihong ; Best, Tish ; Pendse, Ravi ; Sawan, Mahmoud Edwin

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
  • fYear
    2012
  • fDate
    15-17 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Our previous work suggests that the current congestion controls for cable networks are inadequate when network participants act strategically. A feedback control could result in greater utilization and fairness of cable networks. In order to design a controller for a network, an observer is needed to evaluate the current network state and traffic flows. This paper proposes an observer model and design for cable networks. The observer design is recast into an online traffic classification problem. Using dynamic network traffic phases observed through simulation, the network classifier is designed with a hidden Markov model to determine the network states.
  • Keywords
    hidden Markov models; observers; pattern classification; telecommunication cables; telecommunication traffic; cable network; congestion control; controller design; dynamic network traffic flow; feedback control; hidden Markov model; observer design; online traffic classification problem; Bandwidth; Control systems; Hidden Markov models; Observers; Resource management; Telecommunication traffic; Cable Network; Feedback Control; Hidden Markov Model; Observer Design; Traffic Classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Quality and Reliability (CQR), 2012 IEEE International Workshop Technical Committee on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-1861-7
  • Type

    conf

  • DOI
    10.1109/CQR.2012.6267105
  • Filename
    6267105