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LiveNet: a low-latency video transport network for large-scale live streaming by Jinyang Li; Zhenyu Li; Ri Lu; Kai Xiao; Songlin Li; Jufeng Chen; Jingyu Yang; Chunli Zong; Aiyun Chen; Qinghua Wu; Chen Sun; Gareth Tyson; Hongqiang Harry Liu is a scholarly article available to read on EtoBox.

What is LiveNet: a low-latency video transport network for large-scale live streaming about?

Low-latency live streaming has imposed stringent latency requirements on video transport networks. In this paper, we report on the design and operation of the Alibaba low-latency video transport network, LiveNet. LiveNet builds on a flat CDN overlay with a centralized controller for global optimization. As part of this, we present our design of the global routing computation and path assignment, as well as our fast data transmission architecture with fine-grained control of video frames. The performance results obtained from three years of operation demonstrate the effectiveness of LiveNet in improving CDN performance and QoE metrics. Compared with our prior state-of-the-art hierarchical CDN deployment, LiveNet halves the CDN delay and ensures 98% of views do not experience stalls and that 95% can start playback within 1 second. We further report our experiences of running LiveNet over the last 3 years.

Author

Jinyang Li; Zhenyu Li; Ri Lu; Kai Xiao; Songlin Li; Jufeng Chen; Jingyu Yang; Chunli Zong; Aiyun Chen; Qinghua Wu; Chen Sun; Gareth Tyson; Hongqiang Harry Liu

Publisher

ACM

Published

2022

Language

EN