Optimal Measurement-based Pricing for an M/M/1 Queue
In this paper, we consider a system modelled as an M/M/1 queue. Jobs corresponding to different classes are sent to the queue and are characterized by a delay cost per unit of time and a demand function. Our goal is to design an optimal pricing scheme for the queue, where the total charge depends on both the mean delay at the queue and arrival rate of each customer. We also assume that those two values have to be (statistically) measured, introducing errors on the total charge that might avert jobs from using the system, and then decrease demand. This model can be applied in telecommunication networks, where pricing can be used to control congestion, and the network can be characterized by a single bottleneck queue; the throughput of each class would be determined through passive measurements while the delay would be determined through active measurements. Copyright Springer Science+Business Media, LLC 2007
Volume (Year): 7 (2007)
Issue (Month): 2 (June)
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References listed on IDEAS
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- Yasushi Masuda & Seungjin Whang, 2002. "Capacity Management in Decentralized Networks," Management Science, INFORMS, vol. 48(12), pages 1628-1634, December.
- Albert Y. Ha, 2001. "Optimal Pricing That Coordinates Queues with Customer-Chosen Service Requirements," Management Science, INFORMS, vol. 47(7), pages 915-930, July.
- Sanjeev Dewan & Haim Mendelson, 1990. "User Delay Costs and Internal Pricing for a Service Facility," Management Science, INFORMS, vol. 36(12), pages 1502-1517, December.
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