Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Paris metro pricing for the internet
Proceedings of the 1st ACM conference on Electronic commerce
Utility-based rate control in the Internet for elastic traffic
IEEE/ACM Transactions on Networking (TON)
ACM Transactions on Modeling and Computer Simulation (TOMACS)
DiffServ node with join minimum cost queue policy and multiclass traffic
Performance Evaluation - Internet performance symposium (IPS 2002)
Charge-based control of DiffServ-like queues
Automatica (Journal of IFAC)
Optimal multi-layered congestion based pricing schemes for enhanced QoS
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Pricing is an effective tool to control congestion and achieve quality of service (QoS) provisioning for multiple differentiated levels of service. In this paper, we consider the problem of pricing for congestion control in the case of a network of nodes under a single service class and multiple queues, and present a multi-layered pricing scheme. We propose an algorithm for finding the optimal state dependent price levels for individual queues, at each node. The pricing policy used depends on a weighted average queue length at each node. This helps in reducing frequent price variations and is in the spirit of the random early detection (RED) mechanism used in TCP/IP networks. We observe in our numerical results a considerable improvement in performance using our scheme over that of a recently proposed related scheme in terms of both throughput and delay performance. In particular, our approach exhibits a throughput improvement in the range of 34 to 69 percent in all cases studied (over all routes) over the above scheme.