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User Access to Popular Data on the Internet and Approaches for IP Traffic Flow Optimization

  • Conference paper
Analytical and Stochastic Modeling Techniques and Applications (ASMTA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5513))

Abstract

Content delivery networks (CDN) and peer-to-peer systems currently account for the transport of a major portion of the Internet traffic. We compare the efficiency of both approaches, which are based on overlay structures within the network (CDN) or on the terminals of the users (P2P). Random source selection schemes in peer-to-peer protocols often chose to download content from somewhere across the globe although it may be available in the proximity, which leads to unnecessary high traffic load on inter-domain links. For content delivery networks, the distances from source to destination depend on the number and locations of servers involved in the CDN. Recent proposals to improve local exchange of popular data in the Internet are discussed with different implications for network resource efficiency, service provisioning and usage.

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Author information

Authors and Affiliations

  1. T-Systems Enterprise Services GmbH, Deutsche-Telekom-Allee 7, D-64295, Darmstadt, Germany

    Gerhard Hasslinger & Franz Hartleb

  2. Deutsche Telekom Netzproduktion GmbH, Heinrich-Hertz-Str. 3-7, D-64295, Darmstadt, Germany

    Thomas Beckhaus

Authors
  1. Gerhard Hasslinger
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  2. Franz Hartleb
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  3. Thomas Beckhaus
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Editor information

Editors and Affiliations

  1. Faculty of Advanced Technology, University of Glamorgan, CF37 1DL, Pontypridd, UK

    Khalid Al-Begain

  2. Department TELIN, Ghent University, Sint-Pietersnieuwstraat 41, 9000, Gent, Belgium

    Dieter Fiems

  3. Budapest University of Technology and Economics, P.O. Box 91, 1521, Budapest, Hungary

    Gábor Horváth

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© 2009 Springer-Verlag Berlin Heidelberg

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Hasslinger, G., Hartleb, F., Beckhaus, T. (2009). User Access to Popular Data on the Internet and Approaches for IP Traffic Flow Optimization. In: Al-Begain, K., Fiems, D., Horváth, G. (eds) Analytical and Stochastic Modeling Techniques and Applications. ASMTA 2009. Lecture Notes in Computer Science, vol 5513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02205-0_4

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  • DOI: https://doi.org/10.1007/978-3-642-02205-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02204-3

  • Online ISBN: 978-3-642-02205-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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