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Performance Evaluation of Multi-rate Streaming Traffic by Quasi-Stationary Modelling

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Network Control and Optimization (NET-COOP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5894))

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Abstract

A Quasi-Stationary approach to evaluate streaming traffic performance was recently proposed, which combines in a simple way the traffic variations at flow and packet time-scales. The present paper elaborates on it, by specifically focusing on the multi-class/multi-rate aspects of the model. A first original contribution is the theoretical description of flow peak rates in terms of a continuous distribution. Then, a set of simulations is reported which shows in some simple cases, e.g., a multiplex of constant bit rate flow classes, the suitability and efficiency of the approach. Finally, a preliminary trace-driven simulation experiment, although not fully satisfactory, shows some need for explicitly taking into account the flow peak rates in performance evaluation.

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Author information

Authors and Affiliations

  1. Orange Labs, CORE/TPN Laboratory, France Telecom, 38-40 rue du Général Leclerc, 92794, Issy-les-Moulineaux Cedex 9, France

    Philippe Olivier

Authors
  1. Philippe Olivier
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Editor information

Editors and Affiliations

  1. CWI, P.O. Box 94079, 1090, Amsterdam, GB, The Netherlands

    Rudesindo Núñez-Queija

  2. Department of Mathematics and Computing Science, University of Technology, P.O. Box 513, 5600, Eindhoven, MB, The Netherlands

    Jacques Resing

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© 2009 Springer-Verlag Berlin Heidelberg

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Olivier, P. (2009). Performance Evaluation of Multi-rate Streaming Traffic by Quasi-Stationary Modelling. In: Núñez-Queija, R., Resing, J. (eds) Network Control and Optimization. NET-COOP 2009. Lecture Notes in Computer Science, vol 5894. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10406-0_3

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  • DOI: https://doi.org/10.1007/978-3-642-10406-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10405-3

  • Online ISBN: 978-3-642-10406-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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