Time Scale Analysis of an ATM Queueing System With Long-Range Dependent Traffic

  • Authors:
  • Gilberto Mayor;John Silvester

  • Affiliations:
  • -;-

  • Venue:
  • INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
  • Year:
  • 1997

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Abstract

Several types of network traffic have been shown to exhibit long-range dependence (LRD). In this work, we show that the busy period of an ATM system driven by a long-range dependent process can be very large. We introduce a new traffic model based on a fractional Brownian motion envelope process. We show that this characterization can be used to predict queueing dynamics. Furthermore, we derive a new framework for computing delay bounds in ATM networks based on this traffic model. We show that it agrees with results given by large deviation theory with less computational complexity.