Research Paper Presented at ViSNext'22: "Improving Fidelity in Video Streaming Experimentation on Testbeds with a CDN"
On December 9, 2022, we presented a research paper at the 2nd ACM CoNEXT
Workshop on Design, Deployment, and Evaluation of Network-assisted Video
Streaming (ViSNext 2022),
“Improving Fidelity in Video Streaming Experimentation on Testbeds with
a CDN” by Calvin Ardi,
Alefiya Hussain, Michael Collins, Stephen Schwab (DOI:
10.1145/3565476.3569097,
PDF).
Abstract:
Video streaming is the leading network traffic on the Internet, yet there are few tools to run high fidelity experiments with video streaming traffic on network emulation-based testbeds. In this paper, we present a framework to enable higher fidelity and principled experimentation with 36 different video streaming traffic scenario combinations that can be configured and deployed on a notional CDN and data metrics infrastructure. This framework can be used to further study and experiment with adaptive bitrate algorithms and other AI/ML solutions for video delivery.
The tools we developed in these papers are open source and will be freely available at https://gitlab.com/mergetb/exptools.