Improving Quality of 5G/6G/xG Network Through Reliability Estimation in Kubernetes

Inhalt:
This paper presents a concept of 5G/6G/xG network quality assurance based on the reliability estimation of the virtualised 5G/6G/xG network infrastructure. It is assumed that the 6G core would be fully virtualised and running as a set of cloud-native applications in the orchestrator, e.g., Kubernetes, and others. Recently, we have developed an ERT-CORE reliability model and FMAIS system model which both fulfill requirements for virtualised distributed systems, e.g., linear computational complexity and resource-efficiency. As a case study, a fully virtualised 5G access network, i.e., the SD-RAN project, running in Kubernetes is examined. A measurement to demonstrate reliability evaluation of the microservice with ERTCORE reliability model is performed. The results show that the reliability value is decreased when the chosen parameters, i.e., the CPU and the Network Interface, are overloaded. It indicates the microservice needs to be rescheduled. In addition, a measurement to demonstrate reliability evaluation of a Kubernetes cluster with FMAIS is performed. The results show that the reliability of the Kubernetes cluster is affected by deviations in the reliability value in one of the microservices.