RedTAO: A Trillion-edge High-throughput Graph Store
Summary: RedTAO: scalable high-throughput graph store for trillions of edges, with a graph cache layer that serves >90% of one-hop social queries directly from cache. Cross-cloud multi-active deployment with local-storage access and a data-transmission service maintains cache consistency, delivering 1.8x throughput and 21.3% fewer resources than MySQL at Xiaohongshu. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Shihao Zhou (East China Normal University; Xiaohongshu)
- 2. Qi Mao (Xiaohongshu)
- 3. Yi Cheng (Xiaohongshu)
- 4. Hongcheng Qi (Xiaohongshu)
- 5. Yilun Huang (Xiaohongshu)
- 6. Peng Cai (East China Normal University)
- 7. Jun-Peng Zhu (East China Normal University)
BibTeX Citation
@inproceedings{zhou_sigmod25,
title = {{RedTAO: A Trillion-edge High-throughput Graph Store}},
author = {Zhou, Shihao and Mao, Qi and Cheng, Yi and Qi, Hongcheng and Huang, Yilun and Cai, Peng and Zhu, Jun-Peng},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3724449},
url = {https://dl.acm.org/doi/10.1145/3722212.3724449},
year = {2025}
}
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