Scalable Multi-Query Execution using Reinforcement Learning
Summary: RouLette uses reinforcement learning to drive adaptive, runtime sharing for multi-query execution, avoiding costly pre-optimization. It delivers 1.6–28.3× throughput gains vs a query-at-a-time engine and up to 6.5× vs sharing prototypes on TPC-DS-like workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Panagiotis Sioulas (EPFL)
- 2. Anastasia Ailamaki (EPFL; RAW Labs)
BibTeX Citation
@inproceedings{sioulas_sigmod21,
title = {{Scalable Multi-Query Execution using Reinforcement Learning}},
author = {Sioulas, Panagiotis and Ailamaki, Anastasia},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452799},
url = {https://dl.acm.org/doi/10.1145/3448016.3452799},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,908 | Using Cloud Functions as Accelerator for Elastic Data Analytics | 2023 | SIGMOD | 6.4488784e-05 |
| 5,148 | LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems | 2022 | SIGMOD | 6.3465986e-05 |
| 5,701 | Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries | 2023 | SIGMOD | 6.1167049e-05 |
| 7,193 | dbET: Execution Time Distribution-based Plan Selection | 2023 | SIGMOD | 5.6770249e-05 |
| 11,113 | Oligolithic Cross-task Optimizations across Isolated Workloads* | 2024 | CIDR | 5.093636e-05 |
| 11,399 | QaaD (Query-as-a-Data): Scalable Execution of Massive Number of Small Queries in Spark | 2023 | SIGMOD | 5.093636e-05 |
| 11,413 | SH2O: Efficient Data Access for Work-Sharing Databases | 2023 | SIGMOD | 5.093636e-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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