Scalable laws for stable network congestion control
Fernando Paganini, John C. Doyle, Steven H. Low · Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228) · 2003
Discusses flow control in networks, in which sources control their rates based on feedback signals received from the network links, a feature present in current TCP protocols. We develop a congestion control system which is arbitrarily scalable, in the sense that its stability is maintained for arbitrary network topologies and arbitrary amounts of delay. Such a system can be implemented in a decentralized way with information currently available in networks plus a small amount of additional signaling.