Cloud Native Edge Computing with KubeEdge: Updates and Future

The presentation discusses the Cube Edge project, which aims to enable AI collaboration between cloud and edge computing. The project has multiple use cases, including satellite image analysis and oil field management. The community effort is crucial to the project's growth, and the future of the project involves creating dedicated scenario-based toolkits and supporting multiple architectures and operating systems.

• Cube Edge enables AI collaboration between cloud and edge computing
• Use cases include satellite image analysis and oil field management
• Community effort is crucial to the project's growth
• Future plans involve creating dedicated scenario-based toolkits and supporting multiple architectures and operating systems

The Cube Edge project has been working on improving the design and implementation to decouple the application development with the IoT devices. The main idea is to make the device a service so that the application can interact with the device just like interacting with the Kubernetes service. The project is also providing more automated functionality for the data plan, enabling users to define rules to forward device data to some back-end, such as a time-based database. The project is constantly evolving to meet the needs of its users and the community.

KubeEdge is an open source edge computing framework that extends the power of Kubernetes from the cloud to the edge. In this session, Kevin and Yin will share: 1. The latest updates from KubeEdge Technical Steering Committee (TSC); 2. News from sig-robotics, sig-node, sig-scalability and sig-networking, etc.; 3. Latest new user adoptions, including: cloud native satellite, cloud native SDV (software defined vehicle), cloud native offshore oil field, etc.; 4. A demo of the new features in the latest release 1.13 (January 2023) In the end, there will be an open Q&A for attendees to ask questions and give feedback.