An extended Kalman filter is used to estimate queue size in a network. This paper presents the derivation of the transient queue behavior for a system with Poisson traffic and exponential service times. This result is then validated for ideal traffic using a network simulated in OPNET. A more complex OPNET model is then used to test the adequacy of the transient queue size model when non-Poisson traffic is combined. The extended Kalman filter theory is presented and a network state estimator is designed using the transient queue behavior model. The behavior of the network state estimator is than investigated.


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    Title :

    Estimating Queue Size in a Computer Network Using an Extended Kalman Filter


    Contributors:


    Publication date :

    2007-03-01


    Size :

    11957874 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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