Controlling the Internet: A Survey and Some New Results

Research output: Contribution to journalConference article

Abstract

In the last few years, significant progress has been made in the mathematical modelling of congestion control and congestion feedback mechanisms in the Internet. The resulting models have proved to be very useful in improving existing control and feedback mechanisms, and to make them scalable to networks that operate at very high speeds. Tools from convex optimization, control theory and stochastic processes have played a major role in the development of this Internet congestion control theory. In this paper, we focus on the control-theoretic aspects of the theory, and review some recent developments in the design of stable, scalable congestion control mechanisms. We also present a new scheme that can improve the performance of the Internet with minimal changes to the current architecture.

Original languageEnglish (US)
Pages (from-to)3048-3057
Number of pages10
JournalProceedings of the IEEE Conference on Decision and Control
Volume3
StatePublished - Dec 1 2003
Event42nd IEEE Conference on Decision and Control - Maui, HI, United States
Duration: Dec 9 2003Dec 12 2003

Fingerprint

Congestion Control
Congestion control (communication)
Internet
Control theory
Control Theory
Feedback
Convex optimization
Convex Optimization
Random processes
Congestion
Mathematical Modeling
Stochastic Processes
High Speed
Model

Keywords

  • AQM
  • AVQ
  • Congestion Control
  • Dual Algorithm
  • Generalized Nyquist Criterion
  • Primal Algorithm
  • Primal-Dual Algorithm
  • RED
  • TCP

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Controlling the Internet : A Survey and Some New Results. / Liu, Shao; Basar, M Tamer; Srikant, Rayadurgam.

In: Proceedings of the IEEE Conference on Decision and Control, Vol. 3, 01.12.2003, p. 3048-3057.

Research output: Contribution to journalConference article

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