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Meeting of the European Network of Universities and Companies in Information and Communication Engineering

EUNICE 2014: Advances in Communication Networking pp 192–201Cite as

Analysis of the YouTube Server Selection Behavior Observed in a Large German ISP Network

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8846))

Abstract

This paper presents a detailed study on the YouTube server selection mechanism with respect to its long term behavior. We conducted a measurement campaign from different measurement points within a single German ISP network over a long period of time. Based on the measurement traces, the long-term temporal behavior of the server selection mechanism is investigated. The results reveal that the server selection behavior ranges from changing on a daily basis to being stable for several weeks. Besides analyzing the long term behavior, we also determined the dependency of the selection behavior on the geographic location of the client node. It appears that the server selection behavior mainly depends on the IP address currently assigned to a user connection. Finally the impact of the selection decision on the round trip time (RTT) is analyzed.

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References

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Author information

Authors and Affiliations

  1. TU Chemnitz, Chemnitz, Germany

    Gerd Windisch

Authors
  1. Gerd Windisch
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Correspondence to Gerd Windisch .

Editor information

Editors and Affiliations

  1. Institut Mines Telecom, École National Supérieure des Télécommunications, Brest Cedex, France

    Yvon Kermarrec

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Windisch, G. (2014). Analysis of the YouTube Server Selection Behavior Observed in a Large German ISP Network. In: Kermarrec, Y. (eds) Advances in Communication Networking. EUNICE 2014. Lecture Notes in Computer Science(), vol 8846. Springer, Cham. https://doi.org/10.1007/978-3-319-13488-8_18

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  • DOI: https://doi.org/10.1007/978-3-319-13488-8_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13487-1

  • Online ISBN: 978-3-319-13488-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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