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PET: Reducing Database Energy Cost via Query Optimization

Summary: PET augments PostgreSQL’s optimizer with compile-time power modeling and a composite time–energy cost model. DBAs can tune the performance/energy tradeoff at runtime, exposing energy-efficient plans conventional optimizers overlook. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10633
Venue
VLDB
Year
2012
Pagerank
6.2609069e-05
Overall Rank
5,339 | 63.38%
DOI
10.14778/2367502.2367528

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{xu_vldb12,
        title = {{PET: Reducing Database Energy Cost via Query Optimization}},
        author = {Xu, Zichen and Tu, Yi-Cheng and Wang, Xiaorui},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1954--1957},
        doi = {10.14778/2367502.2367528},
        url = {https://doi.org/10.14778/2367502.2367528},
        year = {2012}
}

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