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Comparison of Open Source SDN Controllers and Cloud Platforms in Terms of Performance, Stability, and Infrastructure Flexibility Cover

Comparison of Open Source SDN Controllers and Cloud Platforms in Terms of Performance, Stability, and Infrastructure Flexibility

By: Andrzej Mycek  
Open Access
|Dec 2024

Abstract

The IT industry is advancing rapidly, with virtually every branch of modern computing experiencing swift development. Concepts such as Cloud Computing and Artificial Intelligence no longer surprise anyone. Recently, Software Defined Networks (SDN) have been gaining significant popularity. This innovative approach to computer networks allows for greater flexibility and is, therefore, much more well-known in the world of cloud computing than in traditional network implementations. This paper introduces the concept of SDN and Network Functions Virtualization (NFV) and outlines all the challenges and security issues associated with the cloud environment. The dynamic nature of the IT landscape requires constant adaptation to emerging technologies, and SDN represents a noteworthy evolution in the realm of computer networking. Platforms such as SDN and open-source tools enabling the creation of private cloud environments such as OpenStack or OpenNebula were compared. At the same time, aspects like security, network performance, flexibility, and scalability were analyzed. Based on the prior analysis, a comprehensive cloud environment was built using the OpenStack solution and SDN-OpenDaylight was deployed. Additional tests conducted on the OpenStack cloud, both with and without SDN, demonstrated the superiority of SDN implementation in the cloud.

DOI: https://doi.org/10.14313/jamris/4-2024/31 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 62 - 70
Submitted on: Mar 27, 2024
Accepted on: Apr 16, 2024
Published on: Dec 10, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Andrzej Mycek, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.