IEC Type 4 is an Akraino approved blueprint and part of Akraino Edge Stack. The project is focused on AR VR applications run on Edge Computing.

Use Cases

In general, there are multiple use cases for AR VR itemized below.  For Release 2, we focus on building on the infrastructure and virtual classroom application(Highlighted in dark purple color).

Overall Architecture

The following picture depicts the architecture of the Connect Vehicle Blueprint, which consists of the following key components:

• Commodity Hardware, Arm/X86 Physical Server.
• IaaS Software, like Openstack, IaaS and so on
• Tars Microservice Platform
• Connected Vehicle Applications  

The combination of Commodity Hardware and IaaS Software provides flexible deployments, like Bare Metal, Virtual Machine as well as Container. 

Tars is a microservice framework that can manage/monitor/deploy the connected vehicle applications in the edge and data center. Tars can be flexibly deployed in Bare Metal, Virtual Machine as well as Container.

Connected Vehicle Applications are some different applications that fulfill Accurate Location, Smarter Navigation, Safe Drive Improvement and Reduce traffic violations.

The following is the general architecture of Tars, which is a major component in R2.

Refer to the enclosed PDF document for the detail Tars introduction. 

 PDF

Main Progresses for Release 2

Release 2 is the first release for Connected Vehicle Blueprint. So everything is new.

Build Of Materials (BOM) / Hardware requirements

Connected Vehicle Blueprint can be flexibly deployed in Bare Metal, Virtual Machine as well as the container.

For R2, we deploy it in Amazon Web Service for Release.  The detailed hardware is itemized below:

Beyond of AWS, we deploy it in Ampere POD 1 in CI Lab as well.  

Notes

Tars is an edge compute microservice platform with low latency, high quality.