Machine learning based end-to-end multi-domain network slice management and orchestration

Recommendation ITU-T Y.3182 describes an intelligent cost-effective network management and orchestration framework that can cope with the challenges of multi-domain network slicing, while minimizing human intervention towards full automation of slice lifecycle management and runtime operation.It addresses the following subjects:• Overview and interoperability requirements of machine learning based multi-domain end-to-end network slice management and orchestration;• Functional requirements of machine learning based multi-domain end-to-end network slice management and orchestration;• Framework of machine learning based multi-domain end-to-end network slice management and orchestration;• Cognitive components for the framework.