基于 QS 的数值-分析延迟模型与分布原理的业务转移

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摘要

本文展示了通过右移厄朗分布和二阶超指数分布形成的排队系统的结果。众所周知,第一个分布的变异系数小于 1,而第二个分布的变异系数大于 1。从一般排队理论可知,在 QS G/G/1 中,队列中请求的平均延迟与到达间隔和服务时间的变异系数存在二次相关性,而我们所考虑的系统正是属于这种类型。与传统系统相比,分布规律的运行偏移会导致延迟时间的成倍减少,而这一数值取决于偏移参数的值。为了构建延迟的数学模型,我们对所考虑的系统采用了林德利积分方程的谱解法。在实际应用所获得的结果时,采用了可操作性理论矩的标准方法。在 Mathcad 中获得的数值和分析建模结果清楚地证实了所提出的延迟数学模型的适当性。
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NUMERICAL-ANALYTICAL DELAY MODEL BASED ON QS WITHOPERATIONAL SHIFT OF DISTRIBUTION PRINCIPLES
This article demonstrates results for a queuing system formed by right-shifting an Erlang distribution and a second-order hyperexponential distribution. As is known, the first distribution provides a coefficient of variation less than one, and the second one – more than one. From the general queuing theory, it is known that the average delay of requests in the queue in the QS G/G/1 is related to the coefficients of variation of arrival intervals and service times by a quadratic dependence, and the system we are considering belongs precisely to this type. An operational shift in the distribution laws leads to a multiple reduction in delay compared to a conventional system, and this value depends on the value of the shift parameter. To construct a mathematical model of the delay, the method of spectral solution of the Lindley integral equation for the system under consideration was applied. For the practical application of the obtained results, the standard method of oprobability theory moments is used. The obtained results of numerical and analytical modeling in Mathcad clearly confirm the adequacy of the proposed mathematical delay model.
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