IoT Service Orchestration in Edge-Cloud Continuum with 6G: A Review

The development of 6th-generation (6G) mobile networks brings advancements in wireless communications, including lower latency, higher data rates, and improved spectral efficiency, as well as enhanced facilitation for the use of Artificial Intelligence (AI) technologies, integrated communications, sensing, and renewable energy sources. To harness this potential, a scalable framework integrating edge and cloud computing is needed to provide a robust computing continuum for various applications. This paper presents a survey and comparative analysis of existing architectural frameworks for 6G computing continuum. The survey considers important paradigms, design principles, and methodologies that have been embraced by academia and industry over the past few years. We evaluate the maturity of these frameworks, considering factors such as scalability, resource efficiency, adaptability to changes, resource availability, security and privacy, as well as robustness and resilience. In the analysis, we identify best practices for 6G deployment and underscore the importance of clear definitions and a unified approach to integrate edge computing and fog computing within the 6G landscape. Overall, this study aims to serve as a roadmap for researchers, network architects, and industry stakeholders to make informed decisions on implementing the computing continuum in 6G networks.