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.

Date

2022

Authors

Calvin Ardi, Alefiya Hussain, Michael Collins, Stephen Schwab

Book

Proceedings of the 2nd International Workshop on Design, Deployment, and Evaluation of Network-Assisted Video Streaming

Pages

1-7