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Optimizing Databases by Learning Hidden Parameters of Solid State Drives

Summary: Learns SSD-specific hidden geometry and behavior from request-size and location profiles, then derives I/O rules to tune databases rather than treating SSDs as black boxes. Applied to SQLite3/MariaDB, it improves throughput up to 29% and reduces flash wear up to 6.7%. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12441
Venue
VLDB
Year
2020
Pagerank
6.4562316e-05
Overall Rank
4,894 | 66.43%
DOI
10.14778/3372716.3372724

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kakaraparthy_vldb20,
        title = {{Optimizing Databases by Learning Hidden Parameters of Solid State Drives}},
        author = {Kakaraparthy, Aarati and Patel, Jignesh M. and Park, Kwanghyun and Kroth, Brian P.},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {4},
        pages = {519--532},
        doi = {10.14778/3372716.3372724},
        url = {https://doi.org/10.14778/3372716.3372724},
        year = {2020}
}

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