Round-trip time inference via passive monitoring

  • Authors:
  • Ryan Lance;Ian Frommer

  • Affiliations:
  • University of Maryland, College Park, MD;University of Maryland

  • Venue:
  • ACM SIGMETRICS Performance Evaluation Review - Special issue on the First ACM SIGMETRICS Workshop on Large Scale Network Inference (LSNI 2005)
  • Year:
  • 2005

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Abstract

The round-trip time and congestion window are the most important rate-controlling variables in TCP. We present a novel method for estimating these variables from passive traffic measurements. The method uses four different techniques to infer the minimum round-trip time based the pacing of a limited number of packets. We then estimate the sequence of congestion windows and round-trip times for the whole flow. We validate our algorithms with the ns2 network simulator.