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The Construction of a Stream Service Application with DeepStream and Simple Realtime Server Using Containerization
Wen-Chung Shih1, Zheng-Yao Wang2, Endah Kristiani2,3
1Department of M-Commerce and Multimedia Applications, Asia University, Taichung City 413305, Taiwan.
Sensors (Basel, Switzerland)
|January 11, 2025
Summary
This study shows containerized streaming apps on NVIDIA Jetson Xavier NX match physical machines. WebRTC offers lower latency for edge computing video streaming, but hardware limits multiple connections.
Area of Science:
- Computer Science
- Electrical Engineering
- Software Engineering
Background:
- Edge computing demands efficient, scalable streaming solutions.
- NVIDIA Jetson Xavier NX and Docker are key technologies for edge deployments.
- Evaluating containerized applications for real-time video processing is crucial.
Purpose of the Study:
- To assess the performance of containerized streaming applications on edge hardware.
- To compare the latency and resource utilization of different streaming protocols (WebRTC, HLS, RTMP).
- To identify performance bottlenecks and hardware limitations in edge-based streaming architectures.
Main Methods:
- Utilized NVIDIA Jetson Xavier NX hardware and Docker for application deployment.
- Evaluated DeepStream and Simple Realtime Server for streaming service applications.
- Conducted performance and load testing across WebRTC, HLS, and RTMP protocols.
Main Results:
- Containerized applications achieved performance comparable to physical machines.
- WebRTC demonstrated superior low-latency (around 5s) compared to HLS (over 10s).
- WebRTC exhibited higher CPU usage (>40%) than HLS and RTMP; memory usage was stable.
- System performance degraded with more than three simultaneous devices.
Conclusions:
- Containerization is viable for high-performance edge streaming applications.
- WebRTC is suitable for low-latency edge video streaming, despite higher CPU load.
- Hardware limitations on the NVIDIA Jetson Xavier NX restrict scalability for numerous concurrent connections.
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