Pricing in computer networks: motivation, formulation, and example
IEEE/ACM Transactions on Networking (TON)
Public access to the Internet
Economic paradigms for information systems and networks
Economic paradigms for information systems and networks
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Digital Control
Distributed Network Flow Control based on Dynamic Competitive Markets
ICNP '98 Proceedings of the Sixth International Conference on Network Protocols
IEEE Journal on Selected Areas in Communications
Pricing of risk for loss guaranteed intra-domain internet service contracts
Computer Networks: The International Journal of Computer and Telecommunications Networking
Pricing the services in dynamic environment: agent pricing model
Transactions on computational collective intelligence II
Path-vector contracting: Profit maximization and risk management
Computer Networks: The International Journal of Computer and Telecommunications Networking
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We evaluate two mechanisms for setting prices in a QoS-enhanced network with congestion-sensitive pricing and resource allocation based on users' willingness to pay. In the first model, the congestion-sensitive component of the price is calculated by tâtonnement, with the price adjusted gradually to drive down the user demand to the supply level of network resources. In the second model, each user submits multiple bids for different bandwidths, each bid expressing its willingness to pay a certain premium for the corresponding bandwidth during congestion. Simulations show that both approaches provide greater network availability, revenue, and perceived user-benefit than a congestion-independent policy. Both approaches have generally similar performance in terms of perceived user-benefit. The tâtonnement-based model obtains higher network revenue than the auction-based model. The auction-based model achieves higher network utilization at a given level of perceived user-benefit, but has higher implementation complexity and longer set-up delay for new connections. The proposed auction-based model serves more users than comparable auction-based schemes, and has less signaling overhead and greater certainty of service availability.