RALF: Accuracy-Aware Scheduling for Feature Store Maintenance
Summary: RALF schedules costly feature/embedding recomputation using downstream prediction-error feedback, query access patterns, and a regret objective rather than fixed refresh policies. Experiments show up to 32.7% lower error or 1.6× lower compute cost. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sarah Wooders (University of California Berkeley)
- 2. Xiangxi Mo (University of California Berkeley)
- 3. Amit Narang (University of California Berkeley)
- 4. Kevin Lin (University of California Berkeley)
- 5. Ion Stoica (University of California Berkeley)
- 6. Joseph M. Hellerstein (University of California Berkeley)
- 7. Natacha Crooks (University of California Berkeley)
- 8. Joseph E. Gonzalez (University of California Berkeley)
BibTeX Citation
@article{wooders_vldb24,
title = {{RALF: Accuracy-Aware Scheduling for Feature Store Maintenance}},
author = {Wooders, Sarah and Mo, Xiangxi and Narang, Amit and Lin, Kevin and Stoica, Ion and Hellerstein, Joseph M. and Crooks, Natacha and Gonzalez, Joseph E.},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {3},
pages = {563--576},
doi = {10.14778/3632093.3632116},
url = {https://doi.org/10.14778/3632093.3632116},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,847 | Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines | 2024 | VLDB | 5.5330423e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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