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Speculative Query Processing

Summary: Leverages user “think time” in a visual query interface plus ML-based user-behavior models to asynchronously precompute or reshape database state that anticipates and speeds likely future queries. Formalizes speculation as an optimization with algebraic cost properties and demonstrates a commercial-DB prototype with ~35% average latency reduction (up to 90%+). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
12
Venue
CIDR
Year
2003
Pagerank
5.093636e-05
Overall Rank
12,802 | 12.17%
DOI
-

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BibTeX Citation

@inproceedings{polyzotis_cidr03,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '03},
        title = {{Speculative Query Processing}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Polyzotis, Neoklis and Ioannidis, Yannis},
        year = {2003}
}

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