Assessing the Role of Software-Defined Networking (SDN) in Modern Cloud-Based Computing
Keywords:
Software-Defined Networking (SDN), Cloud Computing, Scalability, Security, Artificial Intelligence (AI).Abstract
The rise of Software-Defined Networking (SDN) represents a change in the technology of modern cloud computing because it enables greater agility, scaling, and effectiveness in managing networks. From the perspective of an implementation within clouds, this paper attempts to analyze SDN architecture, its advantages, challenges and potential. We discuss the fundamental elements of an SDN architecture such as Controller, Data Plane, and Application Plane and details how their interconnection permits certain degree of automation of network resource provisioning and allocation. The fact that SDN controls and data planes are separated facilitates the supporting of dynamic scalability and timely optimization of resources for the network in real-time, which is critical to cloud computing. Though well-established cloud computing frameworks have a lot to gain from SDNs, they equally have constraints such as limitations on performance because of centralized control, complex convergence with non-SDN technologies, and the exploiting of security gaps in the SDN Controller. The paper looks at some of the more advanced development such as AI and ML merged with SDN which augments automation of networks, predictive analytics, and anomaly detection. Moreover, the paper examines the role of SDN on 5G networks and pose how SDN would aid the architecture of quantum computing to signal further evolution of SDN. In the final remarks, the authors discuss the contributions to the body of research, noting how SDN is poised to revolutionize cloud network administration in the near future. This work sets the stage for next steps in the research, especially considering the integration of SDN with emerging technologies and the changing demands posed on cloud infrastructures.
Downloads
References
Almeida, L., & Oliveira, R. (2017). SDN architecture for cloud computing: Benefits, challenges, and use cases. In Springer Handbook of Cloud Computing (pp. 603-625). Springer.
Al-Fuqaha, A., Guizani, M., Mohammadi, M., & Aledhari, M. (2015). Software-defined networking: A survey and research directions. IEEE Communications Surveys & Tutorials, 17(4), 1953-1980. https://doi.org/10.1109/COMST.2015.2436650
Bashir, A., & Ahsan, A. (2016). A comprehensive review of SDN-based architectures for cloud computing. International Journal of Computer Science and Information Security, 14(4), 209-214.
Benkelifa, E., & Buyya, R. (2016). Cloud Computing: Principles and Paradigms (Wiley Series on Cloud Computing). Wiley.
Benson, T., & Akella, A. (2014). Understanding SDN and its impact on cloud networking. Proceedings of the ACM SIGCOMM Workshop on Future Directions in Networking, 45-50.
Chen, L., et al. (2015). SDN and NFV: Technologies and applications in cloud computing. Proceedings of the International Conference on Cloud Computing and Big Data Analysis, 52-56.
Chong, E., & Chen, H. (2019). AI-driven SDN for cloud networks: Challenges and future directions. IEEE Transactions on Network and Service Management, 16(2), 507-518. https://doi.org/10.1109/TNSM.2019.2916897
Das, S., & Roy, S. (2018). Optimizing network traffic using SDN in cloud computing environments. International Journal of Cloud Computing and Services Science, 7(6), 305-316.
Ferguson, I., & Soares, L. (2017). Architectures and protocols for SDN-based cloud data centers. IEEE Cloud Computing, 4(1), 34-42. https://doi.org/10.1109/MCC.2017.31
Galdino, M., & Silva, M. (2020). SDN-based cloud infrastructure management: An overview of benefits and challenges. Future Generation Computer Systems, 101, 121-134. https://doi.org/10.1016/j.future.2019.07.046
Han, D., & Zhang, F. (2017). Case study: SDN-based cloud computing in large data centers. Proceedings of the IEEE Conference on Cloud Computing Technology and Science, 138-145. https://doi.org/10.1109/CloudCom.2017.24
Hamed, M., & Shuja, J. (2019). Network virtualization in SDN for cloud environments. International Journal of Cloud Computing and Services Science, 8(5), 123-136.
Hu, L., & Liu, Y. (2019). SDN-enhanced security models for cloud computing. Journal of Cloud Computing: Theory and Applications, 8(3), 1-16. https://doi.org/10.1186/s13677-019-0152-5
Hussain, F., & Xiao, L. (2018). A survey of SDN protocols in cloud computing networks. IEEE Transactions on Network and Service Management, 15(4), 1515-1530. https://doi.org/10.1109/TNSM.2018.2878255
Jiang, Z., & Wu, H. (2016). Hybrid SDN architectures for cloud computing: A survey and research challenges. Journal of Cloud Computing: Advances, Systems and Applications, 5(1), 1-15. https://doi.org/10.1186/s13677-016-0074-5
Kreutz, D., Ramos, F. M., & Verissimo, P. (2015). Software-defined networking: A comprehensive survey. Proceedings of the IEEE, 103(1), 14-34. https://doi.org/10.1109/JPROC.2014.2371997
Kim, J., & Feamster, N. (2013). Software-defined networking: Problems and opportunities. ACM SIGCOMM Computer Communication Review, 43(2), 1-10. https://doi.org/10.1145/2465531.2465532
Sharma, Pragya. (2023). Analyzing How Rigorous Financial Analysis Informs Strategic Decisions and Contributes to Corporate Growth. Nanotechnology Perceptions. 20. 219-229. 10.62441/nano ntp.v20i1.5164.
Liyanage, M., & Aslam, N. (2017). Cloud-based SDN: A survey of architectures, challenges, and applications. Journal of Cloud Computing: Advances, Systems, and Applications, 6(1), 1-22. https://doi.org/10.1186/s13677-017-0080-0
Mehmeti, M., & Gunes, M. (2019). Cost optimization in SDN-based cloud data centers. IEEE Transactions on Cloud Computing, 7(2), 478-489. https://doi.org/10.1109/TCC.2018.2831575
Nunes, B. A. A., et al. (2014). A survey of software-defined networking: Past, present, and future of programmable networks. IEEE Communications Surveys & Tutorials, 16(3), 1617-1634. https://doi.org/10.1109/COMST.2014.2331533
Raza, S., & Murad, M. (2017). Challenges in cloud networking: A review of multi-cloud and hybrid cloud architectures. IEEE Access, 5, 24403-24416. https://doi.org/10.1109/ACCESS.2017.2752104
Rao, P., & Choi, Y. (2018). Efficient resource management using SDN in cloud computing. IEEE Cloud Computing, 5(4), 34-42. https://doi.org/10.1109/MCC.2018.2869799
Sahai, A., & Ghosh, A. (2017). Cloud SDN: A new paradigm for data centers. International Journal of Computer Applications, 159(2), 31-36.
Pragya Sharma. (2023). Evaluating the Effectiveness of International Portfolio Diversification Strategies in Mitigating Risks and Enhancing Returns. European Economic Letters (EEL), 13(5), 2084–2100. https://doi.org/10.52783/eel.v13i5.2851
Sharma, A., & Ramesh, M. (2019). Performance bottlenecks in SDN-based cloud systems: Analysis and solutions. International Journal of Computer Applications, 181(1), 42-49. https://doi.org/10.5120/ijca2019917922
Song, C., & Soni, D. (2016). Security challenges in SDN for cloud infrastructures. IEEE Cloud Computing, 3(6), 56-64. https://doi.org/10.1109/MCC.2016.156
Vasilenko, A., & Kunz, R. (2016). The role of SDN in enhancing cloud service delivery: A case study in cloud computing networks. International Journal of Cloud Computing and Services Science, 5(4), 234-248.
Zhang, X., & Yu, X. (2018). SDN for Cloud Computing: Performance and Scalability Issues. IEEE Transactions on Cloud Computing, 6(1), 49-62. https://doi.org/10.1109/TCC.2016.2585272
Zhang, Z., & Li, J. (2018). Security risks in SDN-enabled cloud networks: A comprehensive survey. IEEE Transactions on Cloud Computing, 6(3), 722-734. https://doi.org/10.1109/TCC.2018.2878255
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.