Edge Computing Platform for Telepresence Services based on artificial intelligence Algorithms

Hussein Yasir, Zahraa Al-Kerea, Ammar Muthanna, Artem Volkov
20m
This article discusses the conceptual features of prototyping a platform with server devices equipped with high-performance processors and specialized graphics processing units (GPUs) located in edge data centers of the communication network. Microservice architecture with containerization and the use of orchestration tools such as Kubernetes provides flexibility and scalability. The use of ultra-broadband communication channels makes it possible to achieve high throughput and minimal latency in the operation of such a 6G network. The implementation of a management platform using artificial intelligence to monitor and optimize network resources and computing power, as well as the implementation of an integrated security system with data encryption and strict access control, will ensure reliability and security. Thus, the development of a nonlinear computing platform for telepresence services based on the 6G network will ensure high-quality services, minimize latency, increase throughput, and ensure data security. This will lead to an improved user experience and expanded opportunities for using telepresence in various fields, which is currently impossible to do on the basis of existing telecommunications platforms.