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 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 solutions and support carrier, provider, and the IoT networks.  

IEC Type 4 is focused on AR VR applications running on edge.

In general, the architecture consists of three layers:  Iaas(IEC), PaaS(Tars), SaaS(AR/VR Application).

Use Cases

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

Virtual Classroom is a basic app that allows you to live a virtual reality experience simulating a classroom with teachers and students.

UseCases

Value Proposition

Operation Guidance ​

Predict the next step for the operations(like assembling Lego blocks, cooking sandwiches, etc) and help people to achieve a goal. 

Virtual Classroom 

Simulating a virtual classroom,  ​which improves online education experiences for the teachers and students.

Sports Live

Augment and simulate the sports live, which gives the audiences an amazing immersive watching experience. 

Gaming

Augment and simulate the game scenario, let players enjoy an immersive game world.  ​


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 Master for our private lab for testing
  • For the Tars Master, we deploy a Tars Platform for 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 trigger the script run on the dedicated VM.   




Platform Architecture

Software Platform Architecture

TARS is a high-performance RPC framework based on name service and Tars protocol, also integrated administration platform, and implemented hosting-service via flexible schedule. Now, TARS adds support for ARM and multiple platforms, including macOS, Linux and Windows. For more information about TARS, refer to the following documents:

TARS Documents

TARS_Introduction.pdf


IEC (Integrated Edge Cloud) is a platform that will enable new functionalities and business models on the network edge. The benefits of running applications on the network edge are - Better latencies for end users - Less load on network since more data can be processed locally - Fully utilize the computation power of the edge devices. Here IEC Type2 is used as the main working base for IEC Type4 deployment orchestration. For more information about IEC, refer to the following documents:

IEC Release Type2 Documentation

APIs

We provided a serial of TARS APIs to the Akraino API map. Including application management APIs and service management APIs.

https://wiki.akraino.org/download/attachments/28973389/Akraino_API_Info_IEC_Type_4.xlsx?api=v2

Optimization

To address the requirements of time-critical Application, some optimizations are itemized below:

  • High-Performance RPC:   Tars Framework supports a high-performance RPC Protocol, called Tars Protocol.   To improve the performance, the Tars protocol re-design a brand new RPC protocol and make the transfer between "request" and "Binary stream" more efficiently. In terms of the detail of Tars protocol, refer to https://tarscloud.github.io/TarsDocs_en/base/tars-protocol.html
  • 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 4

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

Build Of Materials (BOM) / Hardware requirements

For R4, 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)


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

R4

Tars https://github.com/TarsCloud/Tars/releases/tag/v2.4.13BSD 3-Clause LicenseR4
IEChttps://gerrit.akraino.org/r/#/admin/projects/iec - v3.0Apache License 2.0R4
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