Fair Transaction Processing for Multi-Tenant Databases
Summary: Tackles fair sharing in multi-tenant transactional DBs where transactions acquire resources incrementally, complicating accounting and incentive issues; introduces DRFT, the first scheduler that accurately accounts transactional resource usage to enforce share guarantees. DRFT is strategy-proof and enforces fairness with under 5% throughput overhead on standard benchmarks and real workloads. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Audrey Cheng (University of California Berkeley)
- 2. Aaron Kabcenell (Meta)
- 3. Xiao Shi (Independent)
- 4. Jolene Huey (University of California Berkeley)
- 5. Peter Bailis (Stanford University; Workday)
- 6. Natacha Crooks (University of California Berkeley)
- 7. Ion Stoica (University of California Berkeley)
BibTeX Citation
@article{cheng_vldb25,
title = {{Fair Transaction Processing for Multi-Tenant Databases}},
author = {Cheng, Audrey and Kabcenell, Aaron and Shi, Xiao and Huey, Jolene and Bailis, Peter and Crooks, Natacha and Stoica, Ion},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {8},
pages = {2602--2615},
doi = {10.14778/3742728.3742751},
url = {https://doi.org/10.14778/3742728.3742751},
year = {2025}
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