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Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes

G. R. Sreekanth1,*, S. Ahmed Najat Ahmed2, Marko Sarac3, Ivana Strumberger3, Nebojsa Bacanin3, Miodrag Zivkovic3

1 Department of Computer Science and Engineering, Kongu Engineering College, Erode, 638060, India
2 Department of Computer Engineering, Lebanese French University, Erbil, 44001, Iraq
3 Singidunum University, Belgrade, 11000, Serbia

* Corresponding Author: G. R. Sreekanth. Email: email

Computer Systems Science and Engineering 2022, 41(2), 751-765.


Fog computing provides quality of service for cloud infrastructure. As the data computation intensifies, edge computing becomes difficult. Therefore, mobile fog computing is used for reducing traffic and the time for data computation in the network. In previous studies, software-defined networking (SDN) and network functions virtualization (NFV) were used separately in edge computing. Current industrial and academic research is tackling to integrate SDN and NFV in different environments to address the challenges in performance, reliability, and scalability. SDN/NFV is still in development. The traditional Internet of things (IoT) data analysis system is only based on a linear and time-variant system that needs an IoT data system with a high-precision model. This paper proposes a combined architecture of SDN and NFV on an edge node server for IoT devices to reduce the computational complexity in cloud-based fog computing. SDN provides a generalization structure of the forwarding plane, which is separated from the control plane. Meanwhile, NFV concentrates on virtualization by combining the forwarding model with virtual network functions (VNFs) as a single or chain of VNFs, which leads to interoperability and consistency. The orchestrator layer in the proposed software-defined NFV is responsible for handling real-time tasks by using an edge node server through the SDN controller via four actions: task creation, modification, operation, and completion. Our proposed architecture is simulated on the EstiNet simulator, and total time delay, reliability, and satisfaction are used as evaluation parameters. The simulation results are compared with the results of existing architectures, such as software-defined unified virtual monitoring function and ASTP, to analyze the performance of the proposed architecture. The analysis results indicate that our proposed architecture achieves better performance in terms of total time delay (1800 s for 200 IoT devices), reliability (90%), and satisfaction (90%).


Cite This Article

APA Style
Sreekanth, G.R., Ahmed, S.A.N., Sarac, M., Strumberger, I., Bacanin, N. et al. (2022). Mobile fog computing by using SDN/NFV on 5G edge nodes. Computer Systems Science and Engineering, 41(2), 751-765.
Vancouver Style
Sreekanth GR, Ahmed SAN, Sarac M, Strumberger I, Bacanin N, Zivkovic M. Mobile fog computing by using SDN/NFV on 5G edge nodes. Comput Syst Sci Eng. 2022;41(2):751-765
IEEE Style
G.R. Sreekanth, S.A.N. Ahmed, M. Sarac, I. Strumberger, N. Bacanin, and M. Zivkovic "Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes," Comput. Syst. Sci. Eng., vol. 41, no. 2, pp. 751-765. 2022.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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