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Fluid models of congestion collapse in overloaded switched networks

机译:过载交换网络中拥塞的流体模型崩溃

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We consider a switched network (i.e. a queueing network in which there are constraints on which queues may be served simultaneously), in a state of overload. We analyse the behaviour of two scheduling algorithms for multihop switched networks: a generalized version of max-weight, and the ot-fair policy. We show that queue sizes grow linearly with time, under either algorithm, and we characterize the growth rates. We use this characterization to demonstrate examples of congestion collapse, i.e. cases in which throughput drops as the switched network becomes more overloaded. We further show that the loss of throughput can be made arbitrarily small by the max-weight algorithm with weight function f(q) = q~a as a → 0.
机译:我们考虑处于过载状态的交换网络(即其中存在可以同时处理队列的约束的排队网络)。我们分析了针对多跳交换网络的两种调度算法的行为:最大权重的广义版本和ot-fair策略。我们展示了在任何一种算法下,队列大小都随时间线性增长,并描述了增长率。我们使用此特征来演示拥塞崩溃的示例,即随着交换网络变得更加过载而吞吐量下降的情况。我们进一步证明,通过权重函数f(q)= q〜a为a→0的最大权重算法可以使吞吐量损失任意小。

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