用扩展卡尔曼滤波估计计算机网络中的队列大小

N. Stuckey, J. Vasquez, S. Graham
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引用次数: 2

摘要

利用扩展卡尔曼滤波器估计网络中的队列大小。本文给出了具有泊松流量和指数服务时间系统的瞬态队列行为的推导。然后使用OPNET模拟的网络对理想流量进行验证,然后使用更复杂的OPNET模型来测试非泊松流量组合时瞬态队列大小模型的充分性。提出了扩展卡尔曼滤波理论,并利用暂态队列行为模型设计了网络状态估计器。研究了网络状态估计器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Queue Size in a Computer Network Using an Extended Kalman Filter
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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