Approximation Schemes for Many-Objective Query Optimization
Summary: Approximation schemes for MOQO with guaranteed near-optimal plans, far faster than exhaustive MOQO. Integrates into Postgres with a cost model for up to nine objectives; validated on TPC-H, guided by cost-function analysis for future MOQO. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Immanuel Trummer (EPFL)
- 2. Christoph Koch (EPFL)
BibTeX Citation
@inproceedings{trummer_sigmod14,
title = {{Approximation Schemes for Many-Objective Query Optimization}},
author = {Trummer, Immanuel and Koch, Christoph},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2610527},
url = {https://dl.acm.org/doi/10.1145/2588555.2610527},
year = {2014}
}
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