23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI '26 Spring)

From Source to Solution: Tackling Packet Losses in Large-scale Cloud Gaming Systematically and Precisely

Jing Wang / Xiao Kong / Yunzhe Ni / Nian Wen / Jiaxing Zhang / Congcong Miao / Honghao Liu

Cloud gaming requires video frames to arrive before strict delay deadlines, yet packet losses can magnify frame delay and nullify the benefits of existing recovery schemes. This work studies packet losses on Tencent START Cloud Gaming, identifies avoidable loss sources and inefficient loss detection, and presents LADR, a combined loss avoidance, detection, and recovery framework. LADR has been deployed on Tencent START for one year and delivers 99.87% of video frames within 100 ms.

cloud gamingpacket lossreal-time streaming

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Metadata

23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI '26 Spring)202605

@inproceedings{xiao2026ladr,
  title={From Source to Solution: Tackling Packet Losses in Large-scale Cloud Gaming Systematically and Precisely},
  author={Wang, Jing and Kong, Xiao and Ni, Yunzhe and Wen, Nian and Zhang, Jiaxing and Miao, Congcong and Liu, Honghao},
  booktitle={23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI '26 Spring)},
  year={2026},
  publisher={USENIX Association}
}