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Large number of queues in tandem:Scaling properties under back-pressure algorithm

机译:串联的大量队列:反压算法下的缩放属性

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We consider a system with N unit-service-rate queues in tandem, with exogenous arrivals of rate λ at queue 1, under a back-pressure (MaxWeight) algorithm: service at queue n is blocked unless its queue length is greater than that of the next queue n + 1. The question addressed is how steady-state queues scale as N → ∞. We show that the answer depends on whether λ is below or above the critical value 1/4: in the former case the queues remain uniformly stochastically bounded, while otherwise they grow to infinity. The problem is essentially reduced to the behavior of the system with an infinite number of queues in tandem, which is studied using tools from interacting particle systems theory. In particular, the criticality of load 1 /4 is closely related to the fact that this is the maximum possible flux (flow rate) of a stationary totally asymmetric simple exclusion process.
机译:我们考虑一个具有N个单位服务速率队列的系统,在反向压力(MaxWeight)算法下,队列1的速率为外生到达率λ:除非队列长度大于队列n的长度,否则阻塞队列n的服务下一个队列n + 1。解决的问题是稳态队列如何按N→∞缩放。我们表明答案取决于λ是低于还是高于临界值1/4:在前一种情况下,队列保持随机一致的有界边界,否则队列增长到无穷大。从本质上讲,这个问题被归结为串联无数个队列的系统的行为,这是使用交互粒子系统理论的工具进行研究的。特别地,负载1/4的临界与以下事实密切相关:这是固定的完全不对称简单排除过程的最大可能通量(流速)。

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