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An Incremental Anytime Algorithm for Multi-Objective Query Optimization

Summary: Incremental anytime MOQO algorithm producing progressively better plan sets with low inter-result latency. Explores interactive constraints without regenerating plans, analyzes update/complexity tradeoffs, and evaluates on TPC-H in Postgres. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h209edb14c7affcdc
Venue
SIGMOD
Year
2015
Pagerank
6.3293674e-05
Overall Rank
4,980 | 66.52%
DOI
10.1145/2723372.2746484

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{trummer_sigmod15,
        title = {{An Incremental Anytime Algorithm for Multi-Objective Query Optimization}},
        author = {Trummer, Immanuel and Koch, Christoph},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2746484},
        url = {https://dl.acm.org/doi/10.1145/2723372.2746484},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0023947656
9 Online Aggregation 1997 SIGMOD 0.00076195956
446 Query Optimization for Parallel Execution 1992 SIGMOD 0.00018174972
1,243 Blink and It's Done: Interactive Queries on Very Large Data 2012 VLDB 0.0001135375
1,806 Multiobjective Query Optimization 2001 PODS 9.5976083e-05
2,524 Multi-Objective Parametric Query Optimization 2015 VLDB 8.3439125e-05
2,891 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.9021718e-05
3,567 On the Complexity of Approximate Query Optimization 2002 PODS 7.2010667e-05
5,223 Approximation Schemes for Many-Objective Query Optimization 2014 SIGMOD 6.2212838e-05
5,459 PET: Reducing Database Energy Cost via Query Optimization 2012 VLDB 6.1230907e-05
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