DBScholar

Back to papers

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)

Paper ID
7174
Venue
SIGMOD
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,698 | 26.61%
DOI
10.1145/3722212.3724449

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers