Lune

SIGCOMM2022Top-tier venue

LiveNet: a low-latency video transport network for large-scale live streaming

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

2022Year
59Citations
23Top-tier citations

Abstract

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.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 6932893d-3628-4a47-86e5-86e06e2a09fa

Cited by top-tier papers23

Ask how each one uses it

Builds on7

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines