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Feature Based Comparison and Selection of SDN Controller

Author

Listed:
  • Mohammed Abdul Rahman AlShehri

    (College of Computer & Information Sciences, Majmaah University, Majmaah, Saudi Arabia)

  • Shailendra Mishra

    (College of Computer & Information Sciences, Majmaah University, Majmaah, Saudi Arabia)

Abstract

Software defined network (SDN) controller selection in SDN is a key challenge to the network administrator. In SDN, control plane is an isolated process and operate on control layer. The controller provides a universal view of the entire network and support applications and services. The three focused parameters for controller selection are productivity, campus network and open source. In SDN, it is vital to have a good device for the efficient processing of all requests made by the switch and for good behavior of the network. For selecting best controller for the specified parameters, decision logic has to be developed that allow us to do comparison of the available controllers. Therefore, in this research we have suggested a methodology that uses analytic-hierarchy-process (AHP) to find a best controller. The approach has been studied and verified for a big organization network setup of Al-Majmaah University, Saudi Arabia. The approach is found to be more effective and increase the network performance significantly.

Suggested Citation

  • Mohammed Abdul Rahman AlShehri & Shailendra Mishra, 2019. "Feature Based Comparison and Selection of SDN Controller," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1-23, August.
    • Handle: RePEc:wsi:ijitmx:v:16:y:2019:i:05:n:s0219877019500299
    DOI: 10.1142/S0219877019500299
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    References listed on IDEAS

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    1. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    2. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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