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Stationary distribution convergence of the offered waiting processes for GI/GI/1+GI queues in heavy traffic

机译:在繁忙的流量中,为GI/GI/1+GI队列提供的等待过程的稳态分布收敛

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摘要

A result of Ward and Glynn (Queueing Syst 50(4):371-400, 2005) asserts that the sequence of scaled offered waiting time processes of the GI/GI/1 + GI queue converges weakly to a reflected Ornstein-Uhlenbeck process (ROU) in the positive real line, as the traffic intensity approaches one. As a consequence, the stationary distribution of a ROU process, which is a truncated normal, should approximate the scaled stationary distribution of the offered waiting time in a GI/GI/1 + GI queue; however, no such result has been proved. We prove the aforementioned convergence, and the convergence of the moments, in heavy traffic, thus resolving a question left open in 2005. In comparison with Kingman's classical result (Kingman in Proc Camb Philos Soc 57:902-904, 1961) showing that an exponential distribution approximates the scaled stationary offered waiting time distribution in a GI/GI/1 queue in heavy traffic, our result confirms that the addition of customer abandonment has a non-trivial effect on the queue's stationary behavior.
机译:Ward 和 Glynn (Queueing Syst 50(4):371-400, 2005) 的结果断言,当流量强度接近 1 时,GI/GI/1 + GI 队列的缩放提供等待时间过程序列弱收敛于正实线中反射的 Ornstein-Uhlenbeck 过程 (ROU)。因此,ROU 进程的稳态分布(截断正态)应近似于 GI/GI/1 + GI 队列中提供的等待时间的缩放稳态分布;然而,这样的结果尚未得到证实。我们证明了上述的收敛性,以及在繁忙的交通中时刻的收敛性,从而解决了2005年悬而未决的问题。与 Kingman 的经典结果(Kingman in Proc Camb Philos Soc 57:902-904, 1961)相比,该结果显示指数分布近似于流量大的 GI/GI/1 队列中按比例缩放的静止提供的等待时间分布,我们的结果证实,添加客户放弃对队列的静止行为具有不平凡的影响。

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