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Asymptotically optimal control of N-systems with H~*_2 service times under many-server heavy traffic

机译:多服务器大流量下具有H〜* _2服务时间的N系统的渐近最优控制

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We address a control problem for a queueing system, known as the 'N-system," under the Halfin-Whitt heavy-traffic regime. It has two customer classes and two server pools: servers from one pool can serve both customer classes, while servers from the other pool can only serve one class. The service time is assumed to follow a special case of hyper-exponential distributions, called the distribution, and customers are impatient. We consider an expected infinite-horizon discounted cost function, with linear holding and abandonment cost components. A static priority policy is proposed and is shown to be asymptotically optimal in a certain parameter regime, using weak convergence techniques.
机译:我们解决了在Halfin-Whitt繁忙交通体制下的排队系统(称为“ N-系统”)的控制问题,它具有两个客户类别和两个服务器池:一个池中的服务器可以同时为两个客户类别提供服务,而另一个池中的服务器只能服务一个类。假定服务时间遵循超指数分布的一种特殊情况(称为分布),并且客户不耐烦,我们考虑了具有线性持有的期望的无限水平折现成本函数提出了一种静态优先级策略,并使用弱收敛技术证明了该策略在一定参数范围内是渐近最优的。

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