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)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 185 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00036538405 |
| 694 | Analyzing the Energy Efficiency of a Database Server | 2010 | SIGMOD | 0.00018061803 |
| 735 | Umbra: A Disk-Based System with In-Memory Performance | 2020 | CIDR | 0.00017452467 |
| 1,338 | Query Processing on Smart SSDs: Opportunities and Challenges | 2013 | SIGMOD | 0.00012493384 |
| 1,834 | Towards Eco-friendly Database Management Systems | 2009 | CIDR | 0.00010376345 |
| 3,736 | What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines | 2023 | VLDB | 6.8057888e-05 |
| 3,905 | Native Store Extension for SAP HANA | 2019 | VLDB | 6.6408563e-05 |
| 6,604 | MotherDuck: DuckDB in the cloud and in the client | 2024 | CIDR | 4.9971118e-05 |
| 8,097 | When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations | 2023 | VLDB | 4.5860503e-05 |
| 9,030 | A Case for Ecological Efficiency in Database Server Lifecycles | 2025 | CIDR | 4.4039656e-05 |
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