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Analytical Model for OpenFlow-Based Software-Defined Network

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Book cover Progress in Computing, Analytics and Networking

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 710))

Abstract

Software-defined network (SDN) is an emerging network architecture that can be adapted as a building block for cloud-enabled data centers. SDN decouples the traditional network in Data Plane (collection of forwarding devices or OpenFlow-enabled switches) and Control Plane (collection of one or more controllers), which communicates with each other using OpenFlow protocol. Proper installation of SDN necessitates the performance test of OpenFlow-enabled switches and controllers. Efficiency, reliability, and scalability are few parameters that should be considered to calculate the efficiency of an OpenFlow-based SDN. An analytical model of the OpenFlow-based network is suggested in this paper. Our proposed model is based on queueing theory and exponential models. The average packet arrival rate of a controller and maximum waiting time for an OpenFlow-enabled switch to get a PACKET_OUT message are taken as parameters to define our approach.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Chiranjit Sarkar & S. K. Setua

Authors
  1. Chiranjit Sarkar
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  2. S. K. Setua
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Corresponding author

Correspondence to Chiranjit Sarkar .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

  2. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Siddharth Swarup Rautaray

  3. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Himansu Das

  4. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

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Sarkar, C., Setua, S.K. (2018). Analytical Model for OpenFlow-Based Software-Defined Network. In: Pattnaik, P., Rautaray, S., Das, H., Nayak, J. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-7871-2_56

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  • DOI: https://doi.org/10.1007/978-981-10-7871-2_56

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7870-5

  • Online ISBN: 978-981-10-7871-2

  • eBook Packages: EngineeringEngineering (R0)

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