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Kaizen: A Semi-Automatic Index Advisor

Summary: Kaizen delivers semi-automatic index tuning, analyzing workloads online to provide tailored recommendations beyond offline or automated tools. Admin feedback refines future suggestions, creating an interactive loop that adapts to changing workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4644
Venue
SIGMOD
Year
2012
Pagerank
5.2337048e-05
Overall Rank
9,715 | 33.35%
DOI
10.1145/2213836.2213932

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jimenez_sigmod12,
        title = {{Kaizen: A Semi-Automatic Index Advisor}},
        author = {Jimenez, Ivo and Sanchez, Huascar and Tran, Quoc Trung and Polyzotis, Neoklis},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213932},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213932},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,106 AirIndex: Versatile Index Tuning Through Data and Storage 2023 SIGMOD 5.3226167e-05
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Outgoing Citations (Sorted by Pagerank)

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

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