Optimal incentive-compatible priority pricing for the M/M/1 queue
Operations Research
Dynamic Pricing for Network Service: Equilibrium and Stability
Management Science
A network pricing game for selfish traffic
Proceedings of the twenty-fourth annual ACM symposium on Principles of distributed computing
Competition and Efficiency in Congested Markets
Mathematics of Operations Research
Price competition with elastic traffic
Networks - Games, Interdiction, and Human Interaction Problems on Networks
Service-Level Differentiation in Call Centers with Fully Flexible Servers
Management Science
Investment and Market Structure in Industries with Congestion
Operations Research
Charge-based control of DiffServ-like queues
Automatica (Journal of IFAC)
Equilibrium strategies for queues with impatient customers
Operations Research Letters
The Aumann-Shapley price mechanism for allocating congestion costs
Operations Research Letters
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We develop a framework to study differentiated services when there are competing network providers. We adopt a multi-class queueing model, where providers post prices for various service classes. Traffic is elastic and users are Quality of Service (QoS)-sensitive, and choose a queue and a class with one of the providers. We model the relationship between capacity, QoS and prices offered by service providers in a competitive network services market. We establish sufficient conditions for existence of Nash equilibrium in the multi-class queueing game. We also explore characterization of inefficiency in the multi-class queueing game model. The modeling framework we provide can be used to study important properties of the equilibrium solution which may be exploited to provide useful guidelines for performance planning and pricing strategies for firms competing in network resource markets.