Multi-Domain Scaling Algorithm with Inter-Orchestrator Communication for Beyond 5G/6G Networks

The emergence of beyond 5G networks poses new challenges for network slicing orchestration. In particular, the distribution of orchestration mechanisms across multiple domains is a challenging problem, as independent entities must coordinate in a lightweight manner to maintain slice requirements. This paper presents a machine learning-driven horizontal scaling approach that uses inter-domain communication to achieve more accurate scaling decisions. We propose a collaborative orchestration approach based on the message-passing paradigm. Orchestration actions are performed using a Horizontal Pod Autoscaling (HPA) algorithm on each domain independently according to the required and allocated resources. We have developed a simulation testbed based on OMNeT++, allowing the creation and manipulation of multi-domain topologies and customized network slices. We show that exploiting inter-domain communication through message exchanges enables more accurate scheduling decisions than non-communicative orchestration, reducing data rate losses and enabling more efficient resource utilization.