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xin qiu , Tencent; Mark Shan, Tencent

Tencent has been deploying Tars on Connected Vehicle Blueprint and validating on IEC Type 4: AR/VR oriented Edge Stack for Integrated Edge Cloud (IEC) Blueprint Family.

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Tars Optimization for edge

To address the requirements of time-critical Application on the edge, 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 the Tars.h file in the https://github.com/TarsCloud/Tars. 

• 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.

For more detail information for Tars, refer to https://github.com/TarsCloud/Tars/blob/master/Introduction.md.

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" Open Source is Tencent's core strategy. Tencent, as a platinum member and board of Linux Foundation, continuously promotes network innovation from application perspectives. We believe that application-drive-network will bring tremendous benefits to our customers and stakeholders. After the Tars project in 2018 and recent Akraino blueprints, Tencent will contribute new open-source Foundation and projects in the future. Welcome more Linux member companies get involved!"  

• Xin Liu, General Manager of Future Network Lab, Tencent

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