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

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Název: Environmental Footprints of Query Processing: A Vision for Sustainable Database Architectures
Autoři: Michail Bachras, Hans-Arno Jacobsen
Zdroj: Proceedings of the VLDB Endowment. 18:4064-4072
Informace o vydavateli: Association for Computing Machinery (ACM), 2025.
Rok vydání: 2025
Popis: Database systems underpin modern computing infrastructure, yet their environmental impact remains a significant blind spot in both industry and research. As data volumes grow exponentially, the energy consumption, carbon emissions, and water usage of database operations increasingly threaten global sustainability goals. Our paper explores this multidimensional environmental footprint and proposes a vision where sustainability becomes a first-class design criterion alongside traditional performance metrics. We reimagine database architectures that incorporate environmental awareness throughout both hardware and software layers. By identifying critical research challenges, we establish a foundation for database systems that can deliver high performance while meeting the environmental demands of our resource-constrained world.
Druh dokumentu: Article
Jazyk: English
ISSN: 2150-8097
DOI: 10.14778/3749646.3749676
Přístupové číslo: edsair.doi...........bdfdd7b8b33dbde7fc066ce5f67d29fa
Databáze: OpenAIRE
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  Data: Environmental Footprints of Query Processing: A Vision for Sustainable Database Architectures
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  Data: Database systems underpin modern computing infrastructure, yet their environmental impact remains a significant blind spot in both industry and research. As data volumes grow exponentially, the energy consumption, carbon emissions, and water usage of database operations increasingly threaten global sustainability goals. Our paper explores this multidimensional environmental footprint and proposes a vision where sustainability becomes a first-class design criterion alongside traditional performance metrics. We reimagine database architectures that incorporate environmental awareness throughout both hardware and software layers. By identifying critical research challenges, we establish a foundation for database systems that can deliver high performance while meeting the environmental demands of our resource-constrained world.
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