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Hindsight Logging for Model Training

Summary: Proposes hindsight logging for model training to enable log replay with low overhead. The flor tool suite blends background logging, adaptive checkpoints, and replay instrumentation, guided by DB recovery ideas; yields ~7% overhead and fast replay. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12773
Venue
VLDB
Year
2021
Pagerank
5.8514923e-05
Overall Rank
6,525 | 55.24%
DOI
10.14778/3436905.3436925

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{garcia_vldb21,
        title = {{Hindsight Logging for Model Training}},
        author = {Garcia, Rolando and Liu, Eric and Sreekanti, Vikram and Yan, Bobby and Dandamudi, Anusha and Gonzalez, Joseph E. and Hellerstein, Joseph M. and Sen, Koushik},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {4},
        pages = {682--693},
        doi = {10.14778/3436905.3436925},
        url = {https://doi.org/10.14778/3436905.3436925},
        year = {2021}
}

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