• DocumentCode
    1884394
  • Title

    Control Plane Reliability Enhancement by Predictive Signaling and Coordination

  • Author

    Murgu, Alexandru

  • Author_Institution
    British Telecom Networks Centre, Ipswich
  • fYear
    2007
  • fDate
    24-24 June 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a predictive control approach to the signalling and coordination between the control and data planes as prediction operation. The control strategy relies on an estimator to improve the reliability of the signalling messages by estimating the missing or the delayed networking monitoring data by a multivariable predictive controller computing the future control signals well in advance. The predictive controller is able to monitor and to adapt to the variable network loads and congestion while optimizing the cross-layer signalling traffic. Since the prediction control does not need network transmission characteristics or dynamics, it can be applied to any network recovery mechanism.
  • Keywords
    delays; estimation theory; multivariable control systems; predictive control; signal processing; telecommunication congestion control; telecommunication network reliability; telecommunication traffic; control plane reliability enhancement; cross-layer signalling traffic; delay estimation; delayed networking monitoring data; multivariable predictive controller; predictive signaling; signalling messages; variable network load; Automatic control; Communication system traffic control; Control systems; Delay estimation; Monitoring; Predictive control; Protocols; Resource management; Telecommunication control; Telecommunication network reliability; Delay Estimation; Generalized Predictive Control; Multilayer Recovery Coordination; Network Control Plane; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GMPLS Performance: Control Plane Resilience, 2007 Workshop on
  • Conference_Location
    Glasgow
  • Print_ISBN
    978-1-4244-1351-5
  • Electronic_ISBN
    978-1-4244-1352-2
  • Type

    conf

  • DOI
    10.1109/GMPLS.2007.4362592
  • Filename
    4362592