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Internet Traffic Congestion Modelling and Parallel Distributed Analysis

  • Conference paper
  • First Online:
Parallel and Distributed Processing and Applications (ISPA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2745))

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Abstract

The level of complexity for modelling Internet traffic is equivalent to that of modelling highly non-linear natural systems. A network is essentially made up of a large number of queues. The effects of traffic volumes on service time and waiting time are discussed using a simplified form of the queuing theory. The key attributes that influence network traffic are identified. A numerical optimisation based approach is suggested to analyse the existing Internet architecture for future developments. The increase in the routing table sizes with the increase in the number of networked devices is discussed. A parallel-distributed routing approach is identified for devising a scalable routing architecture.

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Author information

Authors and Affiliations

  1. School of Engineering, Monash University, Gippsland Campus, Churchill, Victoria, 3842, Australia

    M. Isreb

  2. School of Network Computing, Monash University, Peninsula Campus, Frankston, 3199, Australia

    A. I. Khan

Authors
  1. M. Isreb
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  2. A. I. Khan
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Editor information

Editors and Affiliations

  1. Department of Computer Software, The University of Aizu, Aizu-Wakamatsu City, Fukushima, 965-8580, Japan

    Minyi Guo

  2. Department of Computer Science, St. Francis Xavier University, Antigonish, NS, B2G 2W5, Canada

    Laurence Tianruo Yang

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© 2003 Springer-Verlag Berlin Heidelberg

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Isreb, M., Khan, A.I. (2003). Internet Traffic Congestion Modelling and Parallel Distributed Analysis. In: Guo, M., Yang, L.T. (eds) Parallel and Distributed Processing and Applications. ISPA 2003. Lecture Notes in Computer Science, vol 2745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-37619-4_16

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  • DOI: https://doi.org/10.1007/3-540-37619-4_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40523-8

  • Online ISBN: 978-3-540-37619-4

  • eBook Packages: Springer Book Archive

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