LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases

Summary: LASER uses lightweight online learning to map queries to accessed blocks, enabling buffer-aware scheduling across master–standby replicas. Adaptive allocation/reordering balances load and maximizes buffer hits without pretraining, reducing completion time by ~80% over heuristics. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: h7e39b252bf509781
Venue: VLDB
Year: 2025
Pagerank: 4.9793485e-05
Overall Rank: 11,447 | 23.04%
DOI: 10.14778/3712221.3712239

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Yuwei Huang (Tsinghua University)
2. Guoliang Li (Tsinghua University)

BibTeX Citation

@article{huang_vldb25,
        title = {{LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases}},
        author = {Huang, Yuwei and Li, Guoliang},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {3},
        pages = {743--755},
        doi = {10.14778/3712221.3712239},
        url = {https://doi.org/10.14778/3712221.3712239},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,930	Seron: Smart Query Router for Multi-Primary Cloud-Native Databases with Shared Storage	2026	VLDB	4.9793485e-05
13,608	TrustBCI: A Trustworthy Platform for Collaborative Brain-Computer Interface Data Exchange	2026	VLDB	-

Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
15	How Good Are Query Optimizers, Really?	2016	VLDB	0.00061066921
78	Automatic Database Management System Tuning Through Large-scale Machine Learning	2017	SIGMOD	0.00036684414
85	Learned Cardinalities: Estimating Correlated Joins with Deep Learning	2019	CIDR	0.00035864347
314	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD	0.00021282642
406	Deep Unsupervised Cardinality Estimation	2020	VLDB	0.00019045544
430	ALEX: An Updatable Adaptive Learned Index	2020	SIGMOD	0.00018409112
437	QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning	2019	VLDB	0.00018315867
1,446	LISA: A Learned Index Structure for Spatial Data	2020	SIGMOD	0.00010629222
1,791	Greenplum: A Hybrid Database for Transactional and Analytical Workloads	2021	SIGMOD	9.6259014e-05
2,305	Multi-dimensional Resource Scheduling for Parallel Queries	1996	SIGMOD	8.669801e-05
3,239	Locality-aware Partitioning in Parallel Database Systems	2015	SIGMOD	7.5007569e-05
3,563	Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift	2023	SIGMOD	7.2042148e-05
3,682	openGauss: An Autonomous Database System	2021	VLDB	7.1013922e-05
3,741	FACE: A Normalizing Flow based Cardinality Estimator	2022	VLDB	7.0594076e-05
3,835	Presto: A Decade of SQL Analytics at Meta	2023	SIGMOD	6.9931698e-05
4,011	Deployment of Query Plans on Multicores	2015	VLDB	6.8573269e-05
4,388	Self-Tuning Query Scheduling for Analytical Workloads	2021	SIGMOD	6.6228033e-05
5,041	LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems	2022	SIGMOD	6.3006152e-05
6,660	Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation	2023	SIGMOD	5.7178404e-05
6,872	Distribution-Based Query Scheduling	2013	VLDB	5.6592113e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	8,983	Resource-Adaptive Query Execution with Paged Memory Management	2025	CIDR
2	1,967	Integration of Buffer Management and Query Optimization In Relational Database Environment	1989	VLDB
3	560	Plan-Structured Deep Neural Network Models for Query Performance Prediction	2019	VLDB
4	460	Query-based Workload Forecasting for Self-Driving Database Management Systems	2018	SIGMOD
5	6,872	Distribution-Based Query Scheduling	2013	VLDB
6	5,110	Steering Query Optimizers: A Practical Take on Big Data Workloads	2021	SIGMOD
7	3,519	Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads	2013	VLDB
8	5,865	Modeling Shifting Workloads for Learned Database Systems	2024	SIGMOD
9	4,388	Self-Tuning Query Scheduling for Analytical Workloads	2021	SIGMOD
10	5,041	LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems	2022	SIGMOD