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Blueprint overview/Introduction
Integrated Edge Cloud(IEC) is an Akraino approved blueprint family and part of Akraino Edge Stack, which intends to develop a fully integrated edge infrastructure solution, and the project is completely focused towards Edge Computing. This open source software stack provides critical infrastructure to enable high performance, reduce latency, improve availability, lower operational overhead, provide scalability, address security needs, and improve fault management. The IEC project will address multiple edge use cases and industry, not just Telco Industry. IEC intends to develop solution and support of carrier, provider, and the IoT networks.
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After successfully deploy the virtual classroom application, the following virtual classroom is waiting for you. Enjoy!
Overall Architecture
The whole architecture, shown below, consists of three nodes: Jenkins Master, Tars Master and Tars Agent with AR/VR BP and CVB.
- For the Jenkins Master, we deploy a Jenkins Manster for our private lab for testing
- For the Tars Master, we deploy a Tars Platform for severless use case integration
- For the Tars agent, we deploy the Virtual Classroom backend on this node and two front end client as Virtual Classroom teacher and student on KVM.
- To make the VR backend work well, we deploy IEC in the IaaS Layer, Tars framework in PaaS Layer, Virtual Classroom Backend in SaaS Layer.
- To make CI/CD available, we deploy Jenkins Master in one Virtual Machine. The Jenkins master issues command to triger the script run on the dedicated VM.
Platform Architecture
Software Platform Architecture
Tars is a high-performance microservice framework based on name service and Tars protocol, also integrated administration platform. For more information about Tars, refer to the following documents:
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Release 3 is the first release for IEC Type 4. So everything is new.
Build Of Materials (BOM) / Hardware requirements
For R3, we deploy AR/VR BP in inwinSTACK Private Lab for Release. The detailed hardware is itemized below:
Hostname | Core | RAM | HDD | NIC | Role |
Node-0 | 8 | 40GB | 3TB | 1GB | Jenkins Master |
Node-1 | 8 | 96GB | 3TB | 1GB | Tars Framework |
Node-2 | 8 | 96GB | 3TB | 1GB | Tars Node (CVB + Type4 Application + Virtual Classroom Teacher Client + Virtual Classroom Student Client) |
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Hardware and Software Management
Licensing
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 | R3 |
Tars | https://github.com/TarsCloud/Tars - v2.0 | BSD 3-Clause License | R3 |
IEC | https://gerrit.akraino.org/r/#/admin/projects/iec - v3.0 | Apache License 2.0 | R3 |
Build Of Materials (BOM) / Hardware requirements
For R3, we deploy AR/VR BP in inwinSTACK Private Lab for Release. The detailed hardware is itemized below:
Hostname
Core
RAM
HDD
NIC
Role
Node-0
8
40GB
3TB
1GB
Jenkins Master
Node-1
8
96GB
3TB
1GB
Tars Framework
Node-2
8
96GB
3TB
1GB