A Portable Middleware for Plan-Based Adaptive Query Processing
Summary: AQPHub is a portable, extensible middleware decoupling plan-based AQP strategies from DBMS engines through a SQL interface, easing integration and reuse. It supports multiple systems and strategies with negligible overhead while retaining state-of-the-art benefits. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Pei Mu (University of Edinburgh)
- 2. Bita Asoodeh (University of Edinburgh)
- 3. Anderson Chaves Carniel (Huawei Technologies Research & Development (UK) Limited)
- 4. Amir Shaikhha (University of Edinburgh)
BibTeX Citation
@article{mu_vldb26,
title = {{A Portable Middleware for Plan-Based Adaptive Query Processing}},
author = {Mu, Pei and Asoodeh, Bita and Carniel, Anderson Chaves and Shaikhha, Amir},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4650--4653},
doi = {10.14778/3827998.3828088},
url = {https://doi.org/10.14778/3827998.3828088},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 15 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00061066921 |
| 149 | Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans | 1998 | SIGMOD | 0.00028981723 |
| 481 | Robust Query Processing through Progressive Optimization | 2004 | SIGMOD | 0.00017603972 |
| 646 | Exploiting Statistics on Query Expressions for Optimization | 2002 | SIGMOD | 0.0001520859 |
| 1,515 | DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems | 2021 | VLDB | 0.00010417728 |
| 4,069 | Dynamically Optimizing Queries over Large Scale Data Platforms | 2014 | SIGMOD | 6.821366e-05 |
| 8,164 | Efficient Query Re-optimization with Judicious Subquery Selections | 2023 | SIGMOD | 5.3852872e-05 |
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