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: 6151
Venue: SIGMOD
Year: 2021
Pagerank: 5.6262923e-05
Overall Rank: 5,212 | 63.75%
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
4,593	Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift	2023	SIGMOD	6.0606891e-05
5,671	LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems	2022	SIGMOD	5.3803919e-05
5,832	Stage: Query Execution Time Prediction in Amazon Redshift	2024	SIGMOD	5.3111109e-05
7,990	Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD	2024	VLDB	4.6117441e-05
8,742	Tao: Improving Resource Utilization while Guaranteeing SLO in Multi-tenant Relational Database-as-a-Service	2024	SIGMOD	4.456315e-05
9,125	On-Demand State Separation for Cloud Data Warehousing	2022	VLDB	4.3917246e-05
9,233	Low-Latency Transaction Scheduling via Userspace Interrupts: Why Wait or Yield When You Can Preempt?	2025	SIGMOD	4.3690661e-05
9,677	Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving	2025	SIGMOD	4.3047774e-05
10,190	P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction	2026	SIGMOD	4.1945683e-05
10,491	Intra-Query Runtime Elasticity for Cloud-Native Data Analysis	2025	SIGMOD	4.1945683e-05
10,493	Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs	2025	SIGMOD	4.1945683e-05
10,872	LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases	2025	VLDB	4.1945683e-05
10,890	Oligolithic Cross-task Optimizations across Isolated Workloads*	2024	CIDR	4.1945683e-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
60	Efficiently Compiling Efficient Query Plans for Modern Hardware	2011	VLDB	0.00064439773
418	Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age	2014	SIGMOD	0.00023729211
735	Umbra: A Disk-Based System with In-Memory Performance	2020	CIDR	0.00017452467
801	SageDB: A Learned Database System	2019	CIDR	0.00016505496
3,586	Handling Highly Contended OLTP Workloads Using Fast Dynamic Partitioning	2020	SIGMOD	6.9435005e-05
4,282	Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement	2015	VLDB	6.293052e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
438	Query Optimization for Parallel Execution	1992	SIGMOD	0.00023199245
8,682	Efficient Scheduling of Heterogeneous Continuous Queries	2006	VLDB	4.4687791e-05
12,330	Adaptively Parallelizing Distributed Range Queries	2009	VLDB	4.1945683e-05
7,715	Query Centric Partitioning and Allocation for Partially Replicated Database Systems	2017	SIGMOD	4.6699261e-05
5,109	Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores	2017	VLDB	5.6908086e-05
3,284	Configuration-Parametric Query Optimization for Physical Design Tuning	2008	SIGMOD	7.2790444e-05
3,124	Parallel Query Scheduling and Optimization with Time- and Space-Shared Resources	1997	VLDB	7.5201555e-05
4,088	Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads	2013	VLDB	6.4603918e-05
2,459	Multi-dimensional Resource Scheduling for Parallel Queries	1996	SIGMOD	8.7676516e-05
5,671	LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems	2022	SIGMOD	5.3803919e-05