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Temporal Patterns and Properties in Multiple-Flow Interactions

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Management of Convergence Networks and Services (APNOMS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 4238))

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Abstract

It is widely recognized that today’s Internet traffic is mostly carried by a relatively small number of elephant flows while mice flows constitute up to 80% of all active flows at any given moment in time. Although there are many research works that perform structural analysis of flows based on their size, rate, and lifespan, such analysis says very little about temporal properties of interactions among multiple flows originating from different applications. This paper focuses on temporal analysis of flows in attempt to grasp properties and patterns of flows that are related to application and user behaviour and can be captured only in the temporal view of traffic.

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Author information

Authors and Affiliations

  1. Global Information and Telecommunication Institute, Waseda University, 1-3-10 Nishi-Waseda, Shinjuku-ku, Tokyo, 169-0051, Japan

    Marat Zhanikeev & Yoshiaki Tanaka

  2. Advanced Research Institute for Science and Engineering, Waseda University, 17 Kikuicho, Shinjuku-ku, Tokyo, 162-0044, Japan

    Yoshiaki Tanaka

Authors
  1. Marat Zhanikeev
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  2. Yoshiaki Tanaka
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Editors and Affiliations

  1. Dept. of Information & Communication Engineering, Graduate School, Yeungnam University, 214-1, Dae-Dong, Gyeongsan-Si, 712-749, Gyeongbook, Korea

    Young-Tak Kim

  2. NTT West Corporation, 6-2-82 Shimaya, 554-0024, Konohana-ku Osaka, Japan

    Makoto Takano

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhanikeev, M., Tanaka, Y. (2006). Temporal Patterns and Properties in Multiple-Flow Interactions. In: Kim, YT., Takano, M. (eds) Management of Convergence Networks and Services. APNOMS 2006. Lecture Notes in Computer Science, vol 4238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11876601_10

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  • DOI: https://doi.org/10.1007/11876601_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45776-3

  • Online ISBN: 978-3-540-46233-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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