A network service curve approach for the stochastic analysis of networks

  • Authors:
  • Florin Ciucu;Almut Burchard;Jörg Liebeherr

  • Affiliations:
  • University of Virginia, Charlottesville, VA;University of Virginia, Charlottesville, VA;University of Virginia, Charlottesville, VA

  • Venue:
  • SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
  • Year:
  • 2005

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Abstract

The stochastic network calculus is an evolving new methodology for backlog and delay analysis of networks that can account for statistical multiplexing gain. This paper advances the stochastic network calculus by deriving a network service curve, which expresses the service given to a flow by the network as a whole in terms of a probabilistic bound. The presented network service curve permits the calculation of statistical end-to-end delay and backlog bounds for broad classes of arrival and service distributions. The benefits of the derived service curve are illustrated for the exponentially bounded burstiness (EBB) traffic model. It is shown that end-to-end performance measures computed with a network service curve are bounded by O(Hlog H), where H is the number of nodes traversed by a flow. Using currently available techniques that compute end-to-end bounds by adding single node results, the corresponding performance measures are bounded by O(H3).