Random Early Marking

  • Authors:
  • Sanjeewa Athuraliya;Steven H. Low;David E. Lapsley

  • Affiliations:
  • -;-;-

  • Venue:
  • QofIS '00 Proceedings of the First COST 263 International Workshop on Quality of Future Internet Services
  • Year:
  • 2000

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Abstract

Random Early Marking (REM) consists of a link algorithm, that probabilistically marks packets inside the network, and a source algorithm, that adapts source rate to observed marking. The marking probability is exponential in a link congestion measure, so that the end-to-end marking probability is exponential in a path congestion measure. Marking allows a source to estimate its path congestion measure and adjusts its rate in a way that aligns individual optimality with social optimality. We describe the REM algorithm, summarize its key properties, and present some simulation results that demonstrate its stability, fairness and robustness.