/Typescript-ReactJS-WebRTC-1-N-SFU

simple 1:N SFU WebRTC as a MediaServer with ReactJS, Typescript, Node.js

Primary LanguageTypeScriptMIT LicenseMIT

Typescript-ReactJS-WebRTC-1-N-SFU

Features

  • WebRTC
  • 1:N communication (SFU server)
  • React with Typescript
  • Node.js as a MediaServer(SFU server)
  • Docker

How to start

1. Docker version

# server use 8080 port
# web use 8085 port
# You can connect to http://localhost:8085
cd Typescript-ReactJS-WebRTC-1-N-SFU
docker-compose up -d

2. Non-Docker version(Node.js and React.js)

You need to install Node.js

cd Typescript-ReactJS-WebRTC-1-N-SFU
cd server
npm install
node index.js
cd web
npm install
npm start

Performance test

1. devices

device description
CPU AMD Ryzen 5 3600 6-Core Processor 3.59GHz
RAM 32GB
GPU NVIDIA GeForce RTX 2060 SUPER
OS Windows 10 Pro

2. Settings

  • all clients and server were in same devices
  • a video conference style

Client side performance(Chrome browser CPU usage)

the number of users P2P/Mesh(Signaling Server) SFU(Media Server)
2 4% 5%
3 10% 8%
4 22% 9.5%
5 34% 18%
6 47% 25%
7 64% 30%
8 80% 30%

Server side performance(CPU usage)

the number of users P2P/Mesh(Signaling Server) SFU(Media Server)
2 0.1% 2%
3 0.1% 13%
4 0.1% 24%
5 0.1% 32%
6 0.1% 41%
7 0.1% 48%
8 0.1% 50%

3. Results

SFU Server (Media Server)

  • The SFU server has lost its real-time performance since it had 6 clients.
  • Some images were stopped when there were more than 7 clients.
  • SFU Server had significantly higher CPU usage than Signaling Server.
  • Client-side CPU usage decreased by approximately half when using SFU Server.

Signaling Server (P2P/Mesh)

  • There was a slight delay as the client increased, but the video did not stop.
  • The CPU usage of the Signaling Server was kept at 0.1%.
  • As the number of clients increased, the CPU usage of the client increased significantly.

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