PET: Reducing Database Energy Cost via Query Optimization
Summary: PET embeds an energy-aware cost model into PostgreSQL, guiding plan choice by a time+power objective. It provides a compile-time power estimator and runtime tradeoff controls, demonstrating energy-efficient plans within a kernel-based optimizer. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zichen Xu
- 2. Yi-Cheng Tu
- 3. Xiaorui Wang
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,659 | Multi-Objective Parametric Query Optimization | 2015 | VLDB | 8.3604734e-05 |
| 4,874 | Approximation Schemes for Many-Objective Query Optimization | 2014 | SIGMOD | 5.8594632e-05 |
| 5,075 | An Incremental Anytime Algorithm for Multi-Objective Query Optimization | 2015 | SIGMOD | 5.7172118e-05 |
| 8,725 | A Fast Randomized Algorithm for Multi-Objective Query Optimization | 2016 | SIGMOD | 4.4600243e-05 |
| 9,721 | Adaptive Energy-Control for In-Memory Database Systems | 2018 | SIGMOD | 4.2965439e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 694 | Analyzing the Energy Efficiency of a Database Server | 2010 | SIGMOD | 0.00018061803 |
| 1,330 | Energy Cost, The Key Challenge of Today's Data Centers: A Power Consumption Analysis of TPC-C Results | 2008 | VLDB | 0.00012558432 |
| 1,834 | Towards Eco-friendly Database Management Systems | 2009 | CIDR | 0.00010376345 |
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