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An OpenFlow Controller Performance Evaluation Tool

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Computer Performance Engineering (EPEW 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11178))

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Abstract

SDN (Software Defined Networking) provides a way to flexible networks and makes the management easy. This is achieved by the programmable controllers. OpenFlow is a popular SDN protocol. In an OpenFlow network, the controller is the only part implemented logically, all the switches can only execute the instructions from the controller. Therefore, it is important to understand how a controller impacts an OpenFlow network for researchers and network managers. In this paper, we present a user-friendly OpenFlow controller performance evaluation tool that aims to help network researchers building performance models of OpenFlow controllers and network manager to understand the behavior of OpenFlow controllers. The tool uses a virtual OpenFlow switch sending OpenFlow messages to a controller and measures the response time. It fits the response time to a hyper-Erlang distribution. Through the fitted distribution, The tool can offer more clearly performance characteristic than the existing tools. The tool can export its result into JMT, it helps users to build and evaluate their performance models.

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Author information

Authors and Affiliations

  1. Free University of Berlin, Berlin, Germany

    Zhihao Shang, Han Wu & Katinka Wolter

Authors
  1. Zhihao Shang
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  2. Han Wu
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  3. Katinka Wolter
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Corresponding author

Correspondence to Zhihao Shang .

Editor information

Editors and Affiliations

  1. eScience Center, Amsterdam, The Netherlands

    Rena Bakhshi

  2. University Paris-Saclay, Gif-sur-Yvette, France

    Paolo Ballarini

  3. Université Paris-Est Créteil, Créteil, France

    Benoît Barbot

  4. Telecom SudParis, Evry, France

    Hind Castel-Taleb

  5. Westfälische Wilhelms Universität Münster, Münster, Germany

    Anne Remke

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Shang, Z., Wu, H., Wolter, K. (2018). An OpenFlow Controller Performance Evaluation Tool. In: Bakhshi, R., Ballarini, P., Barbot, B., Castel-Taleb, H., Remke, A. (eds) Computer Performance Engineering. EPEW 2018. Lecture Notes in Computer Science(), vol 11178. Springer, Cham. https://doi.org/10.1007/978-3-030-02227-3_16

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  • DOI: https://doi.org/10.1007/978-3-030-02227-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02226-6

  • Online ISBN: 978-3-030-02227-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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