ROME: Robust Query Optimization via Parallel Multi-Plan Execution
Summary: ROME: non-intrusive robust query processing via parallel multi-plan execution on top of any SQL engine. Select complementary plans to hedge cardinality-estimation errors; first finisher wins. Cost-based greedy/exhaustive plan selection via diversity/probabilistic overhead models. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ziyun Wei
- 2. Immanuel Trummer
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,271 | OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning | 2026 | VLDB | 4.1945683e-05 |
| 10,751 | PAR2QO: Parametric Penalty-Aware Robust Query Optimization | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,348 | Identifying Robust Plans through Plan Diagram Reduction | 2008 | VLDB | 6.2660237e-05 |
| 8,639 | A Concave Path to Low-overhead Robust Query Processing | 2018 | VLDB | 4.4793681e-05 |
| 2,044 | Optimization of Multi-Way Join Queries for Parallel Execution | 1991 | VLDB | 9.6953608e-05 |
| 650 | Robust Query Processing through Progressive Optimization | 2004 | SIGMOD | 0.00018659177 |
| 1,019 | Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques | 2012 | VLDB | 0.00014625603 |
| 5,676 | Efficient and Accurate Cost Models for Parallel Query Optimization | 1996 | PODS | 5.376109e-05 |
| 684 | Towards a Robust Query Optimizer: A Principled and Practical Approach | 2005 | SIGMOD | 0.00018179769 |
| 438 | Query Optimization for Parallel Execution | 1992 | SIGMOD | 0.00023199245 |
| 10,627 | Robust Plan Evaluation based on Approximate Probabilistic Machine Learning | 2025 | VLDB | 4.1945683e-05 |
| 6,763 | Robustness Metrics for Relational Query Execution Plans | 2018 | VLDB | 4.9338479e-05 |