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IFIP International Conference on Autonomous Infrastructure, Management and Security

AIMS 2012: Dependable Networks and Services pp 127–138Cite as

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Towards Bandwidth Estimation Using Flow-Level Measurements

Towards Bandwidth Estimation Using Flow-Level Measurements

  • Ricardo de O. Schmidt20,
  • Anna Sperotto20,
  • Ramin Sadre20 &
  • …
  • Aiko Pras20 
  • Conference paper
  • 1160 Accesses

  • 4 Citations

Part of the Lecture Notes in Computer Science book series (LNCCN,volume 7279)

Abstract

Bandwidth estimation is one of the prerequisite for efficient link dimensioning. In the past, several approaches to bandwidth estimation have been proposed, ranging from rules-of-thumb providing over-provisioning guidelines to mathematically backed-up provisioning formulas. The limitation of such approaches, in our eyes, is that they largely rely on packet-based measurements, which are almost unfeasible considering nowadays load and speed (1–10 Gbps). In this context, flow-based measurements seems to be a suitable alternative, addressing both data aggregation as well as scalability issues. However, flows pose a challenge for bandwidth estimation, namely the coarser data granularity compared to packet-based approaches, which can lead to a lower precision in the estimation of the needed bandwidth. In this paper, we investigate what is the impact of flow-based measurements on bandwidth estimation. In particular, we are interested in quantifying the impact of flows on main statistical traffic characteristics, in particular the traffic rate variance. Our approach is validated on real traffic traces captured from 2002 to 2011 at the University of Twente.

Keywords

  • Time Series
  • Markovian Arrival Process
  • Simple Network Management Protocol
  • Bandwidth Estimation
  • Link Usage

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Design and Analysis of Communication Systems (DACS), University of Twente, Enschede, The Netherlands

    Ricardo de O. Schmidt, Anna Sperotto, Ramin Sadre & Aiko Pras

Authors
  1. Ricardo de O. Schmidt
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  2. Anna Sperotto
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  3. Ramin Sadre
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  4. Aiko Pras
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Mathematics, and Computer Science, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands

    Ramin Sadre

  2. Institute of Computer Science, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Jiří Novotný & Pavel Čeleda & 

  3. Institut für Informatik (IFI), Universität Zürich, Binzmühlestraße 14, 8050, Zürich, Switzerland

    Martin Waldburger

  4. Institut für Informatik (IFI), Universität Zürich, Binzmühlestrasse 14, 8050, Zürich, Switzerland

    Burkhard Stiller

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© 2012 IFIP International Federation for Information Processing

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Cite this paper

de O. Schmidt, R., Sperotto, A., Sadre, R., Pras, A. (2012). Towards Bandwidth Estimation Using Flow-Level Measurements. In: Sadre, R., Novotný, J., Čeleda, P., Waldburger, M., Stiller, B. (eds) Dependable Networks and Services. AIMS 2012. Lecture Notes in Computer Science, vol 7279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30633-4_18

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  • DOI: https://doi.org/10.1007/978-3-642-30633-4_18

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  • Print ISBN: 978-3-642-30632-7

  • Online ISBN: 978-3-642-30633-4

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