Akraino KubeEdge blueprint project builds real world Edge computing user cases based on KubeEdge. The first case of this project is ML Offloading. With Artificial Intelligence democratized into mobile phones, the computing resource limitation of mobile devices is increasingly a concern. More and more apps running on mobile phones have to offload ML related operations, starting with the public cloud. Offloading to edge is a natural thought for latency and data security considerations. In the past before the mobile edge surfaces, edge nodes sit in between the central DC/public cloud and the other end of wireline connections. Mobile edge pushes the edge even further to the junctures of mobile core network end. Edge have evolved into variety of form factors such as private cloud, a micro data center, a utility server box.
This session will describe how to build Mobile Edge Stack service framework based on Kubedge. An example of mobile device offloading use case will be detailed to show case how device/edge/cloud coordination can be achieved. The future roadmap about supporting various edge use cases and features to improve end-to-end solutions will also be shared.