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KubeEdge is a CNCF sandbox project widely adopted as a key industry reference Edge Computing architecture. With KubeEdge, application vendors can push a wide range of applications at the edge, including Mobile Edge services. It is an upstream project to Akraino community. There are other Akraino Blueprint projects with KubeEdge incorporated. This project family will focus on solutions centered around KubeEdge. Future releases may incorporate various components, e.g. hardware infrastructure etc.
What is released
Components of the release
- Machine learning offloading core services.
- Model controller is for managing the life cycles of the machine learning models, including model creation, update, deployment and deletion. It leverages the declarative API of K8s CRD and orchestrate the cloud-edge collaboration.
- Dataset controller is for managing the machine learning datasets. It leverages Kubernetes CRD in a similar way as the model controller. Dependencies
Dependencies of the release
- Upstream project is the KubeEdge.
- Upgrade Procedures
Release Data
Module version changes
Document Version Changes
Software Deliverable
Documentation Deliverable
Fixed Issues and Bugs
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- Functionality changes
- New Features
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Version change
Software Deliverable
https://github.com/kubeedge/kubeedge
https://github.com/futurewei-cloud/kubeedge-android-ai
Documentation Deliverable
Known Limitations, Issues and Workarounds
System Limitations
Known Issues
Workarounds
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N/A