The motivation of mixing distributions in communication/queueing systems modeling is that some input data (e.g., service time in queueing models) may follow several distinct distributions in a single input flow. In this paper, we study the sensitivity of performance measures on proximity of the service time distributions of a multiserver system model with two-component Pareto mixture distribution of service times. The theoretical results are illustrated by numerical simulation of the $M/G/c$ systems while using the perfect sampling approach.

中文翻译：

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混合服务时间分配的多服务器排队系统的灵敏度分析与仿真

在通信/排队系统建模中混合分布的动机是某些输入数据（例如，排队模型中的服务时间）可能在单个输入流中遵循几个不同的分布。在本文中，我们研究了性能度量对服务时间两部分帕累托混合服务时间的多服务器系统模型服务时间分布附近的敏感性。理论结果通过数值模拟得到了证明。$\mathrm{中号}/G/C$ 系统，同时使用完美的采样方法。