具有快客户和慢客户的优先级系统的流体-扩散-混合极限逼近

Oper. Res. Pub Date : 2021-11-15 DOI:10.1287/opre.2021.2154
Lun Yu, S. Iravani, Ohad Perry
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引用次数: 1

摘要

本文针对一类高优先级用户比低优先级用户需要更大服务时间的两类优先级系统,提出了一种新的大流量渐近算法。在FDH极限中,高优先级队列是一种扩散,而低优先级队列是一种(随机)流体极限,其动力学是由前者的扩散驱动的。我们的极限过程的一个特征性质是,与其他渐近区域不同,两个类别的客户中都有不可忽略的比例必须等待服务。这一性质使我们能够研究去池化的成本和收益,并证明双池系统通常是系统的渐近最优设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fluid-Diffusion-Hybrid Limiting Approximation for Priority Systems with Fast and Slow Customers
The paper “Fluid-Diffusion-Hybrid (FDH) Approximation” proposes a new heavy-traffic asymptotic regime for a two-class priority system in which the high-priority customers require substantially larger service times than the low-priority customers. In the FDH limit, the high-priority queue is a diffusion, whereas the low-priority queue operates as a (random) fluid limit, whose dynamics are driven by the former diffusion. A characterizing property of our limit process is that, unlike other asymptotic regimes, a non-negligible proportion of the customers from both classes must wait for service. This property allows us to study the costs and benefits of de-pooling, and prove that a two-pool system is often the asymptotically optimal design of the system.
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