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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 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.
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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).
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. |
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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:
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:
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We provided a serial of TARS APIs to the Akraino API map. Including application management APIs and service management APIs.
https://wikilf-akraino.akrainoatlassian.orgnet/wiki/download/attachments/2897338913698742/Akraino_API_Info_IEC_Type_4.xlsx?api=v2
Optimization
To address the requirements of time-critical Application, some optimizations are itemized below:
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- Lightweight framework
- 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.
- Rewrite some functions(like scale-out, monitor, and so on) to reduce CPU consumption.
- 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 6
Release 4 6 is the 4th 6th 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:
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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/v2.4.13 | BSD 3-Clause License | R4R6 |
IEC | https://gerrit.akraino.org/r/#/admin/projects/iec - v3.0 | Apache License 2.0 | R4R6 |