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Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Congestion-dependent pricing of network services
IEEE/ACM Transactions on Networking (TON)
Equilibrium bandwidth and buffer allocations for elastic traffics
IEEE/ACM Transactions on Networking (TON)
Dynamic Programming and Optimal Control, Two Volume Set
Dynamic Programming and Optimal Control, Two Volume Set
Multiservice Loss Models for Broadband Telecommunication Networks
Multiservice Loss Models for Broadband Telecommunication Networks
Measurement-Based Usage Charges in Comminucations Networks
Operations Research
Class-specific quality of service guarantees in multimedia communication networks
Automatica (Journal of IFAC)
Resource pricing and the evolution of congestion control
Automatica (Journal of IFAC)
Simplification of network dynamics in large systems
IEEE/ACM Transactions on Networking (TON)
Pricing of risk for loss guaranteed intra-domain internet service contracts
Computer Networks: The International Journal of Computer and Telecommunications Networking
An optimization-based approach for QoS routing in high-bandwidth networks
IEEE/ACM Transactions on Networking (TON)
Guided local search as a network planning algorithm that incorporates uncertain traffic demands
Computer Networks: The International Journal of Computer and Telecommunications Networking
Demand management for telecommunications services
Computer Networks: The International Journal of Computer and Telecommunications Networking
On the Access Pricing and Network Scaling Issues of Wireless Mesh Networks
IEEE Transactions on Computers
An auction mechanism for allocating the bandwidth of networks to their users
Computer Networks: The International Journal of Computer and Telecommunications Networking
A pricing approach for bandwidth allocation in differentiated service networks
Computers and Operations Research
A game-theoretic model for capacity-constrained fair bandwidth allocation
International Journal of Network Management
An economic framework for dynamic spectrum access and service pricing
IEEE/ACM Transactions on Networking (TON)
Pricing-based strategies for autonomic control of web servers for time-varying request arrivals
Engineering Applications of Artificial Intelligence
Spot pricing of secondary spectrum access in wireless cellular networks
IEEE/ACM Transactions on Networking (TON)
Pricing strategies for spectrum lease in secondary markets
IEEE/ACM Transactions on Networking (TON)
INFOCOM'10 Proceedings of the 29th conference on Information communications
Federation of virtualized infrastructures: sharing the value of diversity
Proceedings of the 6th International COnference
Decentralized algorithms for adaptive pricing in multiclass loss networks
IEEE/ACM Transactions on Networking (TON)
Pricing for heterogeneous services at a discriminatory processor sharing queue
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
Path-vector contracting: Profit maximization and risk management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Optimal prices for finite capacity queueing systems
Operations Research Letters
Intertemporal service pricing with strategic customers
Operations Research Letters
Optimality conditions for coordinate-convex policies in CAC with nonlinear feasibility boundaries
IEEE/ACM Transactions on Networking (TON)
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We consider a communication network with fixed routing that can accommodate multiple service classes, differing in bandwidth requirements, demand pattern, call duration, and routing. The network charges a fee per call which can depend on the current congestion level, and which affects user's demand. Building on the single-node results of Paschalidis and Tsitsiklis, 2000, we consider both problems of revenue and of welfare maximization, and show that static pricing is asymptotically optimal in a regime of many, relatively small, users. In particular, the performance of an optimal (dynamic) pricing strategy is closely matched by a suitably chosen class-dependent static price, which does not depend on instantaneous congestion. This result holds even when we incorporate demand substitution effects into the demand model. More specifically, we model the situation where price increases for a class of service might lead users to use another class as an imperfect substitute. For both revenue and welfare maximization objectives we characterize the structure of the asymptotically optimal static prices, expressing them as a function of a parsimonious number of parameters. We employ a simulation-based approach to tune those parameters and to efficiently compute an effective policy away from the limiting regime. Our approach can handle large, realistic, instances of the problem.