Cloud-Native Network Slicing Using Software Defined Networking Based Multi-Access Edge Computing: A Survey

Fifth-Generation (5G) mobile cellular networks provide a promising platform for new, innovative and diverse IoT applications, such as ultra-reliable low latency communication, real-time dynamic data processing, intensive computation, massive device connectivity. End-to-End (E2E) network slicing candidates present approach to resource allocation distribution that permit operators flexibly scalable virtualized dedicated logical over common physical infrastructure. Though promises the provision of services on demand, many its use cases, self-driving cars Google's Stadia, would require integration Multi-Access Edge Computing (MEC) in 5G networks. is envisioned one key drivers Sixth-Generation (6G) networks, but role remains be fully explored. We investigate MEC service focused cases. Recently, changes cloud-native core are focus with cases providing scalability, elasticity, flexibility, automation. A microservices architecture, along potential slicing, envisioned. This paper also elaborates recent advances made enabling E2E technologies, solutions, current standardization efforts. Finally, this identifies open research issues challenges provides possible solutions recommendations.