How good are deterministic fluid models of Internet congestion control?

Sanjay Shakkottai, Rayadurgam Srikant

Research output: Contribution to journalConference articlepeer-review


Congestion control algorithms used in the Internet are difficult to analyze or simulate on a large scale, i.e., when there are large numbers of nodes, links and sources in a network. The reasons for this include the complexity of the actual implementation of the algorithm and the randomness introduced in the packet arrival and service processes due to many factors such as arrivals and departures of sources and uncontrollable short flows in the network. To make the simulation tractable, often deterministic fluid model approximations of these algorithms are used. These approximations are in the form of either deterministic delay differential equations, or more generally, deterministic functional differential equations. We justify the use of deterministic models for proportionally-fair congestion controllers under a limiting regime where the number of sources in a network is large. We verify our results through simulations of window-based implementations of proportionally fair controllers and TCP.

Original languageEnglish (US)
Pages (from-to)497-505
Number of pages9
JournalProceedings - IEEE INFOCOM
StatePublished - Jan 1 2002
EventIEEE Infocom 2002 - New York, NY, United States
Duration: Jun 23 2002Jun 27 2002


  • Congestion control with delay
  • Fluid models
  • Many flows limit

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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