Self-Tuning Query Scheduling for Analytical Workloads
Summary: Presents a lock-free, self-tuning stride scheduler for task-based analytics, replacing OS scheduling with adaptive control of priorities and task granularity. Incorporates domain knowledge to boost scheduling elasticity under concurrent workloads, delivering near-optimal latencies and 10x tail-latency gains over classic DB systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Benjamin Wagner (Technical University of Munich)
- 2. André Kohn (Technical University of Munich)
- 3. Thomas Neumann (Technical University of Munich)
BibTeX Citation
@inproceedings{wagner_sigmod21,
title = {{Self-Tuning Query Scheduling for Analytical Workloads}},
author = {Wagner, Benjamin and Kohn, André and Neumann, Thomas},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457260},
url = {https://dl.acm.org/doi/10.1145/3448016.3457260},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 13 of 13 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 23 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00054886415 |
| 241 | Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age | 2014 | SIGMOD | 0.00023654664 |
| 422 | Umbra: A Disk-Based System with In-Memory Performance | 2020 | CIDR | 0.00018732744 |
| 568 | SageDB: A Learned Database System | 2019 | CIDR | 0.0001641553 |
| 2,998 | Handling Highly Contended OLTP Workloads Using Fast Dynamic Partitioning | 2020 | SIGMOD | 7.8727047e-05 |
| 4,001 | Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement | 2015 | VLDB | 6.9663191e-05 |
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|---|---|---|---|---|
| 1 | 434 | Query Optimization for Parallel Execution | 1992 | SIGMOD |
| 2 | 8,679 | Efficient Scheduling of Heterogeneous Continuous Queries | 2006 | VLDB |
| 3 | 12,524 | Adaptively Parallelizing Distributed Range Queries | 2009 | VLDB |
| 4 | 7,585 | Query Centric Partitioning and Allocation for Partially Replicated Database Systems | 2017 | SIGMOD |
| 5 | 4,607 | Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores | 2017 | VLDB |
| 6 | 3,003 | Configuration-Parametric Query Optimization for Physical Design Tuning | 2008 | SIGMOD |
| 7 | 3,046 | Parallel Query Scheduling and Optimization with Time- and Space-Shared Resources | 1997 | VLDB |
| 8 | 3,482 | Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads | 2013 | VLDB |
| 9 | 2,337 | Multi-dimensional Resource Scheduling for Parallel Queries | 1996 | SIGMOD |
| 10 | 5,148 | LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems | 2022 | SIGMOD |