Title :
Scalable laws for stable network congestion control
Author :
Paganini, Fernando ; Doyle, John ; Low, Steven
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Abstract :
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
Keywords :
decentralised control; feedback; multivariable control systems; robust control; telecommunication congestion control; telecommunication network routing; transport protocols; TCP protocols; arbitrary network topologies; decentralised control; feedback signals; flow control; multivariable control systems; robust control; scalable laws; stable network congestion control; Analytical models; Communication networks; Communication system control; Control systems; Delay; Feedback; IP networks; Network topology; Protocols; Stability;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980095
