Feature Based Comparison and Selection of SDN Controller

Author:

AlShehri Mohammed Abdul Rahman1,Mishra Shailendra1

Affiliation:

1. 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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Management of Technology and Innovation

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Network Management devices in an SDN environment;2023 24th International Conference on Control Systems and Computer Science (CSCS);2023-05

2. A Comparative and Analytical Study for Choosing the Best Suited SDN Network Operating System for Cloud Data Center;Annals of Emerging Technologies in Computing;2022-01-01

3. Software-Defined Networking Solutions, Architecture and Controllers for the Industrial Internet of Things: A Review;Sensors;2021-10-01

4. Entropy based TOPSIS method for controller selection in software defined networking;Concurrency and Computation: Practice and Experience;2021-07-15

5. Detection and mitigation of attacks in SDN-based IoT network using SVM;International Journal of Computer Applications in Technology;2021

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