Data networks (2nd ed.)
High-performance communication networks
High-performance communication networks
Paris metro pricing for the internet
Proceedings of the 1st ACM conference on Electronic commerce
Differentiated Services: A New Approach for Quality of Service in the Internet
HPN '98 Proceedings of the IFIP TC-6 Eigth International Conference on High Performance Networking
Analysis of Paris Metro Pricing Strategy for QoS with a Single Service Provider
IWQoS '01 Proceedings of the 9th International Workshop on Quality of Service
An overview of pricing concepts for broadband IP networks
IEEE Communications Surveys & Tutorials
Internet service classes under competition
IEEE Journal on Selected Areas in Communications
Distributed control and resource marking using best-effort routers
IEEE Network: The Magazine of Global Internetworking
Join Minimum Cost Queue For Multiclass Customers: Stability And Performance Bounds
Probability in the Engineering and Informational Sciences
An optimal weighted-average congestion based pricing scheme for enhanced QoS
ICDCIT'07 Proceedings of the 4th international conference on Distributed computing and internet technology
Optimal multi-layered congestion based pricing schemes for enhanced QoS
Computer Networks: The International Journal of Computer and Telecommunications Networking
Charge-based control of DiffServ-like queues
Automatica (Journal of IFAC)
Hi-index | 0.00 |
DiffServ, the vehicle for providing relative QoS in the Internet is also easily amenable to simple and effective pricing mechanisms. By pricing access to a relative QoS, we can model a DiffServ node as a 'Join Minimum Cost Queue' in which an arriving customer (packet or connection) determines the relative cost as a function of the congestion in the different queues and their access prices and decides to take service from that queue for which the cost is minimum. The Paris Metro pricing system and its work conserving variant called the Tirupati pricing are analyzed in this paper in the presence of multiclass traffic and for static pricing using an infinite buffer model. Extensive numerical results help describe the behavior of the performance measures like mean queue lengths, revenue rates and customer disutility rates as functions of the various system parameters. Two of the more interesting observations are that the disutility and revenue rate are not monotonic or convex functions of price and the revenue rate is very sensitive to the behavior of the delay sensitive class. We also analyze the finite buffer case and study the loss rate, revenue rate and also the convergence of these performance measures to the infinite buffer values as the buffer sizes increase.