5G standards are designed to take advantage of virtualization and edge computing. They are meant to adapt automatically to changes in demand. The massively distributed clouds that result will be complex and there are many implementation decisions to make.
The scale of 5G network, the distribution of the control function, reemphasize not just the need for automation but also the benefits of AI and predictive analytics.
Automation will be built in multiple systems that have complementary but sometime overlapping scope. Openstack is one of them. The variety of architectures result in a variety of options.
Autoscaling is a good example of such automation. Some of this logic will be built into the application layer possibly by a specialized microservice. But some of it can be built at the network layer in some Master orchestrator such as ONAP. Still some may also be built at the node level, in the Virtual infrastructure manager or in Openstack.
Attendees will learn about the benefits of predictive analytics and machine learning to automate distributed cloud and network management in a 5G context.
They will learn about autoscaling and the options for implementing autoscaling logic at different layers of the control plane.
They will learn about the mechanisms and also about the impact on Openstack.