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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
5033
Venue
SIGMOD
Year
2015
Pagerank
5.7172118e-05
Overall Rank
5,075 | 64.70%
DOI
10.1145/2723372.2746484

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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 0.0040449103
14 Online Aggregation 1997 SIGMOD 0.0010801504
438 Query Optimization for Parallel Execution 1992 SIGMOD 0.00023199245
1,152 Blink and It's Done: Interactive Queries on Very Large Data 2012 VLDB 0.00013645792
1,614 Multiobjective Query Optimization 2001 PODS 0.00011135193
2,659 Multi-Objective Parametric Query Optimization 2015 VLDB 8.3604734e-05
3,408 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.1288167e-05
4,194 On the Complexity of Approximate Query Optimization 2002 PODS 6.3697822e-05
4,874 Approximation Schemes for Many-Objective Query Optimization 2014 SIGMOD 5.8594632e-05
5,585 PET: Reducing Database Energy Cost via Query Optimization 2012 VLDB 5.4231214e-05
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