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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)

Paper ID
6852
Venue
SIGMOD
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,152 | 23.49%
DOI
10.1145/3626246.3653382

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Authors

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}
}

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