Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

In general, there are multiple use cases for AR VR itemized below.  For Release 4Release 6, we focus on building the infrastructure and virtual classroom application (Highlighted in dark purple color).

...

  • Lightweight framework
    1. To make Tars can be well deployed on the edge computing platform, we make the framework pluggable. The customer plugin the pluggable components when we really need it. Unnecessary components can be avoided.
    2. Rewrite some functions(like scale-out, monitor, and so on) to reduce CPU consumption. 
    3. Orchestrate no-urgent functions(like monitor data calculation and so on) from edge to DC(or higher level edge). Reduce resource consumption.
  • IEC Optimization: IEC uses Calico as the main container networking solution which uses a pure IP networking fabric to deliver high-performance Kubernetes networking, and its policy engine enforces developer intent for high-level network policy management. Together, Calico and Kubernetes provide a secure, cloud-native platform that can scale your infrastructure to support hundreds of thousands of users. Calico CNI also supports multi-cni plugin. In this way, users can customize their own edge systems.

Main Progresses for

...

Release 6

Release 4 6 is the 4th release for IEC Type 4.

Build Of Materials (BOM) / Hardware requirements

For R4R6, we deploy AR/VR BP in inwinSTACK Private Lab for Release.  The detailed hardware is itemized below:

...

Components

Link

License

Akraino Release target

OpenVidu

https://github.com/OpenVidu/openvidu-vr/tree/master/openvidu-vr-room -v2.13.0

Apache License 2.0

R4R6

Tars https://github.com/TarsCloud/Tars/releases/tag/v2.4.13BSD 3-Clause LicenseR4R6
IEChttps://gerrit.akraino.org/r/#/admin/projects/iec - v3.0Apache License 2.0R4R6