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Load Modeling and Generation for IP-Based Networks: A Unified Approach and Tool Support

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Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance (MMB&DFT 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5987))

Abstract

This paper presents a unified approach to load generation in IP-based networks supported by a Unified Load Generator UniLoG which incorporates a formal automata-based load specification technique. The load specification technique is applied to two exemplarily chosen models for VoIP and MPEG-coded video traffic sources in order to use them for load generation in UniLoG. The performance characteristics of UniLoG modules, which are responsible for the injection of real traffic loads at different interfaces in IP networks, are discussed and the practical use of UniLoG is demonstrated in the context of a comprehensive QoS study of video streaming via an IEEE 802.11g WLAN under various background loads.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, TKRN, University of Hamburg, Vogt-Kölln-Str. 30, 22527, Hamburg

    Andrey Kolesnikov & Martin Kulas

Authors
  1. Andrey Kolesnikov
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  2. Martin Kulas
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Editor information

Editors and Affiliations

  1. Institute for Computer Science and Business Information Systems, University of Duisburg-Essen, Schützenbahn 70, 45127, Essen, Germany

    Bruno Müller-Clostermann  & Klaus Echtle  & 

  2. Institute for Experimental Mathematics, Computer Networking Technology Group, University of Duisburg-Essen, Ellernstr. 29, D-45326, Essen, Germany

    Erwin P. Rathgeb

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Kolesnikov, A., Kulas, M. (2010). Load Modeling and Generation for IP-Based Networks: A Unified Approach and Tool Support. In: Müller-Clostermann, B., Echtle, K., Rathgeb, E.P. (eds) Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance. MMB&DFT 2010. Lecture Notes in Computer Science, vol 5987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12104-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-12104-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12103-6

  • Online ISBN: 978-3-642-12104-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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