TimeCloth: Fast Point-in-Time Database Recovery in The Cloud
Summary: TimeCloth: fast point-in-time recovery in the cloud. Sublinear RTO via fast log filtering, parallel replay of non-conflicting logs, and log coalescing; lazy FUSE-based remote-table import with smart prefetch, deployed at Alibaba Cloud with average RTO reduction of 44%, up to 92%. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jianjun Deng (Alibaba)
- 2. Jianan Lu (Princeton University)
- 3. Hua Fan (Alibaba)
- 4. Chaoyang Liu (Alibaba)
- 5. Shi Cheng (Alibaba)
- 6. Cuiyun Fu (Alibaba)
- 7. Wenchao Zhou (Alibaba)
BibTeX Citation
@inproceedings{deng_sigmod24,
title = {{TimeCloth: Fast Point-in-Time Database Recovery in The Cloud}},
author = {Deng, Jianjun and Lu, Jianan and Fan, Hua and Liu, Chaoyang and Cheng, Shi and Fu, Cuiyun and Zhou, Wenchao},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626246.3653382},
url = {https://dl.acm.org/doi/10.1145/3626246.3653382},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,921 | OceanBase Bacchus: A High-Performance and Scalable Cloud-Native Shared Storage Architecture for Multi-Cloud | 2026 | VLDB | 4.9793485e-05 |
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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.
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