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The geometry of M/D/1 queues and large deviation

机译:M / D / 1队列的几何形状和较大的偏差

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摘要

Since an M/D/1 queue is represented by a Markov chain, we can consider the set of all the M/D/1 queues as a subset of Markov chains. A geometric structure is induced from the geometric structure of the set of Markov chains, which forms an exponential family. In this paper, we show that in the large deviation of the tail probability of the queue length of an M/D/1, the rate function and a twisted Markov chain, etc., are represented in terms of the geometry. Moreover, in the importance sampling (IS) simulation for the M/D/1 queue, we elucidate the geometric relation between the underlying distribution and a simulation distribution, and evaluate the variance of an IS estimate by geometric quantities.
机译:由于M / D / 1队列由马尔可夫链表示,因此我们可以将所有M / D / 1队列的集合视为马尔可夫链的子集。从一组马尔可夫链的几何结构中得出一个几何结构,这形成一个指数族。在本文中,我们表明,在M / D / 1队列长度的尾部概率有较大偏差的情况下,速率函数和扭曲的马尔可夫链等以几何形式表示。此外,在针对M / D / 1队列的重要性抽样(IS)仿真中,我们阐明了基础分布与仿真分布之间的几何关系,并通过几何量评估了IS估计的方差。

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