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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)

Paper ID
hd1daa599ae1fa979
Venue
SIGMOD
Year
2021
Pagerank
6.7949494e-05
Overall Rank
4,096 | 72.55%
DOI
10.1145/3448016.3457260

Incoming Non-self Citations Over Time

Authors

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 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
3,328 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.4094448e-05
4,797 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.3978116e-05
4,833 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.3834856e-05
4,910 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 6.3468554e-05
7,363 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.5279826e-05
8,979 Tao: Improving Resource Utilization while Guaranteeing SLO in Multi-tenant Relational Database-as-a-Service 2024 SIGMOD 5.2330911e-05
9,024 Low-Latency Transaction Scheduling via Userspace Interrupts: Why Wait or Yield When You Can Preempt? 2025 SIGMOD 5.2209552e-05
9,350 On-Demand State Separation for Cloud Data Warehousing 2022 VLDB 5.1762083e-05
10,347 Intra-Query Runtime Elasticity for Cloud-Native Data Analysis 2025 SIGMOD 5.0195882e-05
10,392 E-LQO: A Comprehensive Energy Evaluation Framework for Learned Query Optimization 2027 SIGMOD 4.9605343e-05
10,393 EASE: Resource-aware Query Scheduling across Heterogeneous Cloud Compute Services 2027 SIGMOD 4.9605343e-05
10,738 P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction 2026 SIGMOD 4.9605343e-05
11,000 Seron: Smart Query Router for Multi-Primary Cloud-Native Databases with Shared Storage 2026 VLDB 4.9605343e-05
11,258 Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs 2025 SIGMOD 4.9605343e-05
11,505 LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases 2025 VLDB 4.9605343e-05
11,519 Oligolithic Cross-task Optimizations across Isolated Workloads* 2024 CIDR 4.9605343e-05
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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.

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