Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks Abdelhamied A. Ateya 1 , Amel Ali Alhussan 2,* , Hanaa A. Abdallah 3 , Mona A. Al duailij 2 , Abdukodir Khakimov 4 and Ammar Muthanna 5 1 Department of Electronics and Communications Engineering, Zagazig University, Zagazig, Sharqia, 44519, Egypt 2 Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia 3 Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 84428, Saudi Arabia 4 Department of Applied Probability and Informatics, Peoples’ Friendship University of Russia (RUDN University), Moscow, 117198, Russia 5 Center for Telecommunication Research, School of Postgraduate Studies & Research, Sri Lanka Technological Campus, Padukka, 10500, Sri Lanka *Corresponding Author: Amel Ali Alhussan. Email: Aaalhussan@pnu.edu.sa Received: 28 April 2022; Accepted: 08 June 2022 Abstract: Next-generation cellular networks are expected to provide users with innovative gigabits and terabits per second speeds and achieve ultra-high reliabil- ity, availability, and ultra-low latency. The requirements of such networks are the main challenges that can be handled using a range of recent technologies, includ- ing multi-access edge computing (MEC), artificial intelligence (AI), millimeter- wave communications (mmWave), and software-defined networking. Many aspects and design challenges associated with the MEC-based 5G/6G networks should be solved to ensure the required quality of service (QoS). This article con- siders developing a complex MEC structure for fifth and sixth-generation (5G/6G) cellular networks. Furthermore, we propose a seamless migration technique for complex edge computing structures. The developed migration scheme enables ser- vices to adapt to the required load on the radio channels. The proposed algorithm is analyzed for various use cases, and a test bench has been developed to emulate the operator’s infrastructure. The obtained results are introduced and discussed. Keywords: 5G; 6G; mobile edge computing; migration; offloading; quality of service 1 Introduction Fifth-generation (5G) and sixth-generation (6G) cellular systems are expected to play a major part in enhancing our life in many fields [1,2]. With new requirements, many novel services and applications are announced as preliminary use cases of the 5G/6G networks [3]. These extreme requirements include ultra-high availability and reliability, ultra-high-speed of gigabits and terabits per second, and ultra-low latency of millisecond and sub-millisecond [3,4]. 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. Computer Systems Science & Engineering DOI: 10.32604/csse.2023.031841 Article ech T Press Science