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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 on 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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In general, there are multiple use cases for AR VR itemized below.  For Release 2Release 4, we focus on building the infrastructure and virtual classroom application (Highlighted in dark purple color).

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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 Master for our private lab for testing
• For the Tars Master, we deploy a Tars Platform for severless serverless 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.
  1. 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.
  2. To make CI/CD available, we deploy Jenkins Master in one Virtual Machine.  The Jenkins master issues a command to triger trigger 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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• 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

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Release 4

Release 3 4 is the first release for IEC Type 4. So everything is new.

Build Of Materials (BOM) / Hardware requirements

For R3R4, we deploy AR/VR BP in inwinSTACK Private Lab for Release.  The detailed hardware is itemized below:

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