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Batch queues, reversibility and first-passage percolation

机译:批处理队列,可逆性和首遍渗透

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摘要

We consider a model of queues in discrete time, with batch services and arrivals. The case where arrival and service batches both have Bernoulli distributions corresponds to a discrete-time M/M/1 queue, and the case where both have geometric distributions has also been previously studied. We describe a common extension to a more general class where the batches are the product of a Bernoulli and a geometric, and use reversibility arguments to prove versions of Burke's theorem for these models. Extensions to models with continuous time or continuous workload are also described. As an application, we show how these results can be combined with methods of Seppalainen and O'Connell to provide exact solutions for a new class of first-passage percolation problems.
机译:我们考虑离散时间的队列模型,其中包括批处理服务和到达。到达批次和服务批次均具有伯努利分布的情况对应于离散时间M / M / 1队列,并且两者均具有几何分布的情况也已在先前进行过研究。我们描述了一个更通用类的通用扩展,其中批次是伯努利和几何的乘积,并使用可逆性参数来证明这些模型的Burke定理的版本。还描述了对具有连续时间或连续工作量的模型的扩展。作为一个应用程序,我们展示了如何将这些结果与Seppalainen和O'Connell的方法结合起来,为一类新的首次通过渗流问题提供精确的解决方案。

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