Lune

ACM MM2023顶会

TwinStar: A Practical Multi-path Transmission Framework for Ultra-Low Latency Video Delivery

Haiping Wang, Zhenhua Yu, Ruixiao Zhang, Siping Tao, Hebin Yu, Shu Shi

2023年份
8被引次数
5顶会引用

摘要

Ultra-low latency video streaming has received explosive growth in the past few years. However, existing methods all focus on single-path transmission, which is ineffective in dealing with really poor network conditions. To tackle their problems, we propose TwinStar, a novel multi-path framework to improve the experience quality of ultra-low latency video. The core idea of TwinStar is to concurrently leverage multiple paths to mitigate the negative impacts of network jitter on a single path. In particular, by carefully designing the video encoding, data allocation and loss recovery, TwinStar is very robust to handle network dynamics and deliver high-quality video services. We have deployed TwinStar in a commercial cloud gaming platform and evaluated it with real-world networks. The extensive experiments demonstrate that TwinStar significantly outperforms the single-path transmission methods, with 91% reduction in stall ratio and 11% improvement in PSNR across all regions.

问问这篇 Paper

问问你的智能体。

Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。

可以从这些问题问起

智能体调用

Lunesearch_papers

在 Lune 里问

免费开始,无需绑卡

lune papers get c4ef024f-8b9e-42e2-81ac-07e1f8da83f6

引用它的顶会 Paper5

问问它们各自怎么用它

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖