View in EDS

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

Saved in:
Bibliographic Details
Title: Environmental Footprints of Query Processing: A Vision for Sustainable Database Architectures
Authors: Michail Bachras, Hans-Arno Jacobsen
Source: Proceedings of the VLDB Endowment. 18:4064-4072
Publisher Information: Association for Computing Machinery (ACM), 2025.
Publication Year: 2025
Description: 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.
Document Type: Article
Language: English
ISSN: 2150-8097
DOI: 10.14778/3749646.3749676
Accession Number: edsair.doi...........bdfdd7b8b33dbde7fc066ce5f67d29fa
Database: OpenAIRE
Description
Abstract: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.
ISSN:21508097
DOI:10.14778/3749646.3749676