JIT works: decide when all data is known (VLDB Women in Database Research Award talk)
Summary: Argues that database performance depends on deciding when—not only what—to optimize, deferring choices until data and workload information arrive. Mathematics, dynamic programming, code generation, and data virtualization enable adaptive JIT systems that learn from early requests. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Anastasia Ailamaki (EPFL; RAW Labs)
BibTeX Citation
@article{ailamaki_vldb20,
title = {{JIT works: decide when all data is known (VLDB Women in Database Research Award talk)}},
author = {Ailamaki, Anastasia},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3473--3473},
doi = {10.14778/3415478.3415569},
url = {https://doi.org/10.14778/3415478.3415569},
year = {2020}
}
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