Controlling the Internet: A Survey and Some New Results

Research output: Contribution to journalConference articlepeer-review


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
StatePublished - 2003
Event42nd IEEE Conference on Decision and Control - Maui, HI, United States
Duration: Dec 9 2003Dec 12 2003


  • 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


Dive into the research topics of 'Controlling the Internet: A Survey and Some New Results'. Together they form a unique fingerprint.

Cite this