Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
BIAS OPTIMALITY IN A QUEUE WITH ADMISSION CONTROL
Probability in the Engineering and Informational Sciences
Optimality Of Randomized Trunk Reservation For A Problem With Multiple Constraints
Probability in the Engineering and Informational Sciences
Dynamic price optimization for an M/M/k/N queue with several customer types
ACM SIGMETRICS Performance Evaluation Review
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In this article we study optimal admission to an M/M/k/N queue with several customer types. The reward structure consists of revenues collected from admitted customers and holding costs, both of which depend on customer types. This article studies average rewards per unit time and describes the structures of stationary optimal, canonical, bias optimal, and Blackwell optimal policies. Similar to the case without holding costs, bias optimal and Blackwell optimal policies are unique, coincide, and have a trunk reservation form with the largest optimal control level for each customer type. Problems with one holding cost rate have been studied previously in the literature.