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Release Notes for the <xxx Blue Print>l

Summary

KubeEdge Edge Service blueprint.

Summary

KubeEdge Edge Service is a blueprint family which showcases end-to-end solution for edge services with KubeEdge centered edge stack. The first release will focus on the ML inference offloading use case.

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 (Akraino new)

•  dependencies of the release (upstream version, patches)

differences from the previous version

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 of the release
  Upstream project is the

• Upgrade Procedures

• Release Data

• Enhancements
  • Functionality changes
  • New Features
Version change

• • Module version changes

  • Document Version Changes

Deliverable

• • Software Deliverable

  • Documentation Deliverable

  • Fixed Issues and Bugs

• Enhancements
  • Functionality changes
  • New Features

• Version change

• Deliverable

• Known Limitations, Issues and Workarounds

• System Limitations

• Known Issues

• Workarounds

• References