DBScholar

Back to papers

Semi-Automatic Index Tuning: Keeping DBAs in the Loop

Summary: Introduces online semi-automatic index tuning that keeps DBAs in the loop: recommendations adapt to implicit/explicit preference feedback while analyzing the live workload. Uses the Work Function Algorithm for broad online optimization with competitive guarantees. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10682
Venue
VLDB
Year
2012
Pagerank
6.9424878e-05
Overall Rank
4,039 | 72.30%
DOI
10.14778/2140436.2140444

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{schnaitter_vldb12,
        title = {{Semi-Automatic Index Tuning: Keeping DBAs in the Loop}},
        author = {Schnaitter, Karl and Polyzotis, Neoklis},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {5},
        pages = {478--489},
        doi = {10.14778/2140436.2140444},
        url = {https://doi.org/10.14778/2140436.2140444},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers