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Environmental Footprints of Query Processing: A Vision for Sustainable Database Architectures

Summary: Exposes the multidimensional environmental footprint (energy, carbon, water) of query processing and argues for treating sustainability as a first-class objective alongside latency/throughput. Sketches eco-aware hardware–software database architectures and a focused research agenda. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14213
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,962 | 24.80%
DOI
10.14778/3749646.3749676

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BibTeX Citation

@article{bachras_vldb25,
        title = {{Environmental Footprints of Query Processing: A Vision for Sustainable Database Architectures}},
        author = {Bachras, Michail and Jacobsen, Hans-Arno},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {11},
        pages = {4064--4072},
        doi = {10.14778/3749646.3749676},
        url = {https://doi.org/10.14778/3749646.3749676},
        year = {2025}
}

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