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Analytically Explicit Results for the Distribution of the Number of Customers Served during a Busy Period for Special Cases of the M/G/1 Queue

机译:分析明确的结果,用于分发客户在繁忙期间为M / G / 1队列的特殊情况提供的客户服务

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This paper presents analytically explicit results for the distribution of the number of customers served during a busy period for special cases of the M/G/1 queues when initiated with m customers. The functional equation for the Laplace transform of the number of customers served during a busy period is widely known, but several researchers state that, in general, it is not easy to invert it except for some simple cases such as M/M/1 and M/D/1 queues. Using the Lagrange inversion theorem, we give an elegant solution to this equation. We obtain the distribution of the number of customers served during a busy period for various service-time distributions such as exponential, deterministic, Erlang-k, gamma, chi-square, inverse Gaussian, generalized Erlang, matrix exponential, hyperexponential, uniform, Coxian, phase-type, Markov-modulated Poisson process, and interrupted Poisson process. Further, we also provide computational results using our method. The derivations are very fast and robust due to the lucidity of the expressions.
机译:本文提出了分析明确的结果,用于在与M客户启动时为M / G / 1队列的特殊情况提供的客户数量的分布。在繁忙时期服务的客户数量的Laplace变换的功能方程是众所周知的,但是几个研究人员说明,通常,除了一些简单的案例之外,还不容易倒置它,如M / M / 1和m / d / 1队列。使用Lagrange Inversion定理,我们为此方程提供了优雅的解决方案。我们在繁忙时期获得的客户数量的分发,以获得各种维修时间分布,例如指数,确定性,Erlang-k,伽玛,奇方,逆高斯,通用Erlang,矩阵指数,过度稳定,均匀,共和平,相型,马尔可夫调制的泊松过程,以及中断泊松过程。此外,我们还使用我们的方法提供计算结果。由于表达的透明度,衍生是非常快速和坚固的。

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