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.
Estimating Queue Size in a Computer Network Using an Extended Kalman Filter
2007-03-01
11957874 byte
Conference paper
Electronic Resource
English
Estimating Motion Parameters of Head by Using Hybrid Extended Kalman Filter
British Library Conference Proceedings | 2009
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