采用超二郎分布和二郎分布的 QS 仿真建模

V. Tarasov, N. Bakhareva
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引用次数: 0

摘要

文章致力于以普通和右移超二郎分布及二阶二郎分布描述的队列系统(QS)形式构建队列中客户延迟的仿真模型。本文是以前致力于构建具有偏移分布规律的数值分析 QS 模型工作的逻辑延续。在文章中,二朗分布被视为更一般的伽马分布定律的特例,与归一化二朗分布形成对比。除了变异系数外,这两种形式的二朗分布在数值特征上有所不同。为了解决这个问题,我们使用了离散事件建模系统 GPSS WORLD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation Modeling of QS with Hyper-Erlang and Erlang Distributions
The article is devoted to the construction of simulation models of customer delay in the queue in the form of a queuing system (QS) described by both ordinary and right-shifted hyper-Erlang and second-order Erlang distributions. This article is a logical continuation of previous works devoted to the construction of numerical-analytical QS models with shifted distribution laws. In the article, the Erlang distribution is considered as a special case of the more general Gamma distribution law, in contrast to the normalized Erlang distribution. These two forms of the Erlang distribution differ in numerical characteristics, except for the coefficient of variation. To solve the problem, the system of discrete-event modeling GPSS WORLD was used.
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