2023 NSDI NSDI 2023

Enabling High Quality Real-Time Communications with Adaptive Frame-Rate

Abstract

Emerging high quality real-time communication (RTC) applications stream ultra-high-definition (UHD) videos with high frame rate (HFR). They use edge computing, which enables high bandwidth and low latency streaming. Our measurements, from the cloud gaming platform of one of the largest gaming companies, show that, in this setting, the client-side decoder is often the cause for high latency that hurts user's experience. We therefore propose an Adaptive Frame Rate (AFR) controller that helps achieve ultra-low latency by coordinating the frame rate with network fluctuation and decoder capacity. AFR's design addresses two key challenges: (1) queue measurements do not provide timely feedback for the control loop and (2) multiple factors control the decoder queue, and different actions must be taken depending on why the queue accumulates. Trace-driven simulations and large-scale deployments in the wild demonstrate that AFR can reduce the tail queuing delay by up to 7.4× and the stuttering events measured by end-to-end delay by 34% on average. AFR has been deployed in production in our cloud gaming service for over one year.

🧭 Keyword Pioneer — real-time communication
🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio
🌉 Interdisciplinary Bridge — Artificial Intelligence and Computer Science and Machine Learning