Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet
Summary: SNESet is a large-scale active measurement dataset of QoS and QoE for 8 VSAs across 798 edge sites, 30 cities, and 3 ISPs over four months. It offers richer metric diversity and vertical/horizontal coverage than public datasets, enabling QoS to QoE analysis to guide edge deployments, providers, and optimizers. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yanan Li (Alibaba; Beijing Institute of Technology)
- 2. Guangqing Deng (Alibaba)
- 3. Changming Bai (Alibaba)
- 4. Jingyu Yang (Alibaba)
- 5. Gang Wang (Alibaba)
- 6. Hao Zhang (Alibaba)
- 7. Jin Bai (Alibaba)
- 8. Haitao Yuan (Nanyang Technological University)
- 9. Mengwei Xu (Beijing Institute of Technology)
- 10. Shangguang Wang (Beijing Institute of Technology)
BibTeX Citation
@inproceedings{li_sigmod23,
title = {{Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet}},
author = {Li, Yanan and Deng, Guangqing and Bai, Changming and Yang, Jingyu and Wang, Gang and Zhang, Hao and Bai, Jin and Yuan, Haitao and Xu, Mengwei and Wang, Shangguang},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626723},
url = {https://dl.acm.org/doi/10.1145/3626723},
year = {2023}
}
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