Multi Layered Cloud Technologies to achieve Interoperability in AI

The combination of multi-cloud computing with Network Function Virtualisation (NFV) is a powerful tool for carriers to deploy their network services. Virtual network services (VNS) provide them with significant cost savings and more flexibility. Academics and practitioners have struggled to find a solution that grants these services the same availability and performance as traditional networks. This intricacy arises from a multitude of sources. One key reason is the difficulty of handling fault and performance issues with NFV and VNSs that are based on multiple clouds. Virtual environments are not well-suited to rule-based approaches, which are commonly employed in conventional physical networks. Machine learning and other forms of artificial intelligence (AI) are, thankfully, working well here. This tutorial's primary goal is to help students comprehend how artificial intelligence (AI) based solutions can improve the availability and performance of these services by assisting with fault identification and localisation. To help illustrate the points, we have included a case study that is based on our previous work in this field.