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Invisible Glue: Scalable Self-Tuning Multi-Stores

Summary: Estocada fragments heterogeneous datasets, deploying overlapping fragments across diverse stores while exposing datasets in native formats. A self-tuner uses workload-driven view-based rewriting and view-selection (respecting nesting, keys, constraints) to place fragments for correct, high-performance execution. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
279
Venue
CIDR
Year
2015
Pagerank
5.6205394e-05
Overall Rank
7,428 | 49.04%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bugiotti_cidr15,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '15},
        title = {{Invisible Glue: Scalable Self-Tuning Multi-Stores}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Bugiotti, Francesca and Bursztyn, Damian and Deutsch, Alin and Ileana, Ioana and Manolescu, Ioana},
        year = {2015}
}

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