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: 6152
Venue: SIGMOD
Year: 2021
Pagerank: 5.6244961e-05
Overall Rank: 5,210 | 63.80%
DOI: 10.1145/3448016.3457260

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,592	Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift	2023	SIGMOD	6.056004e-05
5,682	LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems	2022	SIGMOD	5.3752251e-05
5,844	Stage: Query Execution Time Prediction in Amazon Redshift	2024	SIGMOD	5.3060581e-05
7,994	Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD	2024	VLDB	4.607322e-05
8,738	Tao: Improving Resource Utilization while Guaranteeing SLO in Multi-tenant Relational Database-as-a-Service	2024	SIGMOD	4.4520434e-05
9,123	On-Demand State Separation for Cloud Data Warehousing	2022	VLDB	4.3875153e-05
9,237	Low-Latency Transaction Scheduling via Userspace Interrupts: Why Wait or Yield When You Can Preempt?	2025	SIGMOD	4.3648789e-05
9,677	Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving	2025	SIGMOD	4.3006524e-05
10,190	P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction	2026	SIGMOD	4.1905499e-05
10,501	Intra-Query Runtime Elasticity for Cloud-Native Data Analysis	2025	SIGMOD	4.1905499e-05
10,503	Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs	2025	SIGMOD	4.1905499e-05
10,876	LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases	2025	VLDB	4.1905499e-05
10,894	Oligolithic Cross-task Optimizations across Isolated Workloads*	2024	CIDR	4.1905499e-05

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
59	Efficiently Compiling Efficient Query Plans for Modern Hardware	2011	VLDB	0.0006445664
417	Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age	2014	SIGMOD	0.00023734582
729	Umbra: A Disk-Based System with In-Memory Performance	2020	CIDR	0.00017448059
796	SageDB: A Learned Database System	2019	CIDR	0.00016541749
3,443	Handling Highly Contended OLTP Workloads Using Fast Dynamic Partitioning	2020	SIGMOD	7.0871666e-05
4,277	Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement	2015	VLDB	6.2878362e-05

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Overall Rank	Paper	Year	Venue	Pagerank
439	Query Optimization for Parallel Execution	1992	SIGMOD	0.00023183237
8,678	Efficient Scheduling of Heterogeneous Continuous Queries	2006	VLDB	4.4644955e-05
12,338	Adaptively Parallelizing Distributed Range Queries	2009	VLDB	4.1905499e-05
7,713	Query Centric Partitioning and Allocation for Partially Replicated Database Systems	2017	SIGMOD	4.6662571e-05
5,111	Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores	2017	VLDB	5.6855393e-05
3,276	Configuration-Parametric Query Optimization for Physical Design Tuning	2008	SIGMOD	7.2880761e-05
3,129	Parallel Query Scheduling and Optimization with Time- and Space-Shared Resources	1997	VLDB	7.5132501e-05
4,075	Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads	2013	VLDB	6.4699689e-05
2,458	Multi-dimensional Resource Scheduling for Parallel Queries	1996	SIGMOD	8.7601979e-05
5,682	LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems	2022	SIGMOD	5.3752251e-05