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 | 0.00036529607 |
| 692 | Analyzing the Energy Efficiency of a Database Server | 2010 | SIGMOD | 0.00018045529 |
| 729 | Umbra: A Disk-Based System with In-Memory Performance | 2020 | CIDR | 0.00017448059 |
| 1,342 | Query Processing on Smart SSDs: Opportunities and Challenges | 2013 | SIGMOD | 0.00012482124 |
| 1,832 | Towards Eco-friendly Database Management Systems | 2009 | CIDR | 0.0001036671 |
| 3,724 | What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines | 2023 | VLDB | 6.8121422e-05 |
| 3,907 | Native Store Extension for SAP HANA | 2019 | VLDB | 6.6384027e-05 |
| 6,605 | MotherDuck: DuckDB in the cloud and in the client | 2024 | CIDR | 4.9923144e-05 |
| 8,102 | When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations | 2023 | VLDB | 4.5816532e-05 |
| 9,033 | A Case for Ecological Efficiency in Database Server Lifecycles | 2025 | CIDR | 4.3997447e-05 |
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