Mathematical analysis of the use of application-level traffic measurements for capacity engineering

  • Authors:
  • Y. Chandramouli;Arnold L. Neidhardt

  • Affiliations:
  • Dynamicsoft Inc, East Hanover, NJ;Telcordia Technologies, Red Bank, NJ

  • Venue:
  • ACM SIGMETRICS Performance Evaluation Review
  • Year:
  • 2002

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Abstract

In general, the traffic characteristics of the individual applications that constitute the aggregate traffic on a network can be important for capacity engineering. In this paper, we demonstrate, based on mathematical analysis, the value of application-specific measurements, even when there is no service differentiation. Specifically, under certain assumptions, we obtain the result that engineering errors occur when traffic characteristics of individual applications are ignored, and that the errors are in the direction of under-engineering. The assumptions are that the individual applications can be modeled adequately as Fractional Brownian Motions and that measurements are available only at relatively coarse time scales (as is common presently). The results in this paper emphasize the value of collecting fine-grained traffic measurements.