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Towards instance-optimized data systems

Summary: Progress report on ML-for-systems research toward instance-optimized data systems that learn workload and data distributions to self-tune algorithms and structures. Assesses practical deployment readiness through DSAIL/MIT projects, beyond lab-scale performance claims. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12721
Venue
VLDB
Year
2021
Pagerank
6.0230488e-05
Overall Rank
5,974 | 59.02%
DOI
10.14778/3476311.3476392

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kraska_vldb21,
        title = {{Towards instance-optimized data systems}},
        author = {Kraska, Tim},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {3222--3232},
        doi = {10.14778/3476311.3476392},
        url = {https://doi.org/10.14778/3476311.3476392},
        year = {2021}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
6,163 A Critical Analysis of Recursive Model Indexes 2022 VLDB 5.9532723e-05
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