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Article | Open Access

Performance Evaluation of Virtualization Methodologies to Facilitate NFV Deployment

Sumbal Zahoor1Ishtiaq Ahmad1Ateeq Ur Rehman2Elsayed Tag Eldin3Nivin A. Ghamry4Muhammad Shafiq5( )
Department of Electrical Engineering, The University of Lahore, Lahore, 54000, Pakistan
Department of Electrical Engineering, Government College University, Lahore, 54000, Pakistan
Faculty of Engineering and Technology, Future University in Egypt, New Cairo, 11835, Egypt
Faculty of Computers and Artificial Intelligence, Cairo University, Giza, 3750010, Egypt
Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, 38541, Korea
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Abstract

The development of the Next-Generation Wireless Network (NGWN) is becoming a reality. To conduct specialized processes more, rapid network deployment has become essential. Methodologies like Network Function Virtualization (NFV), Software-Defined Networks (SDN), and cloud computing will be crucial in addressing various challenges that 5G networks will face, particularly adaptability, scalability, and reliability. The motivation behind this work is to confirm the function of virtualization and the capabilities offered by various virtualization platforms, including hypervisors, clouds, and containers, which will serve as a guide to dealing with the stimulating environment of 5G. This is particularly crucial when implementing network operations at the edge of 5G networks, where limited resources and prompt user responses are mandatory. Experimental results prove that containers outperform hypervisor-based virtualized infrastructure and cloud platforms’ latency and network throughput at the expense of higher virtualized processor use. In contrast to public clouds, where a set of rules is created to allow only the appropriate traffic, security is still a problem with containers.

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Computers, Materials & Continua
Pages 311-329

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Cite this article:
Zahoor S, Ahmad I, Rehman AU, et al. Performance Evaluation of Virtualization Methodologies to Facilitate NFV Deployment. Computers, Materials & Continua, 2023, 75(1): 311-329. https://doi.org/10.32604/cmc.2023.035960

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Received: 11 September 2022
Accepted: 04 November 2022
Published: 30 April 2023
© The Author 2024.

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.