Toward Drift-Aware Database Benchmarking
Summary: Introduces a taxonomy and executable DriftSpec language for modeling data and workload drift. DriftBench generates controlled evolution, enabling continuous, standardized evaluation of caches, estimators, indexes, and optimizers beyond static benchmarks. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Guanli Liu (University of Melbourne)
- 2. Renata Borovica-Gajic (University of Melbourne)
BibTeX Citation
@article{liu_vldb26,
title = {{Toward Drift-Aware Database Benchmarking}},
author = {Liu, Guanli and Borovica-Gajic, Renata},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {8},
pages = {1818--1825},
doi = {10.14778/3811243.3811254},
url = {https://doi.org/10.14778/3811243.3811254},
year = {2026}
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