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: 14421
Venue: VLDB
Year: 2025
Pagerank: 5.093636e-05
Overall Rank: 11,095 | 23.88%
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 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

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
18	How Good Are Query Optimizers, Really?	2016	VLDB	0.00059284255
84	Learned Cardinalities: Estimating Correlated Joins with Deep Learning	2019	CIDR	0.00035838391
86	Automatic Database Management System Tuning Through Large-scale Machine Learning	2017	SIGMOD	0.00035316107
334	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD	0.00020875082
401	Deep Unsupervised Cardinality Estimation	2020	VLDB	0.00019092557
447	ALEX: An Updatable Adaptive Learned Index	2020	SIGMOD	0.00018322593
498	QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning	2019	VLDB	0.00017440583
1,418	LISA: A Learned Index Structure for Spatial Data	2020	SIGMOD	0.00010835539
1,948	Greenplum: A Hybrid Database for Transactional and Analytical Workloads	2021	SIGMOD	9.432395e-05
2,337	Multi-dimensional Resource Scheduling for Parallel Queries	1996	SIGMOD	8.7267117e-05
3,200	Locality-aware Partitioning in Parallel Database Systems	2015	SIGMOD	7.642132e-05
3,662	openGauss: An Autonomous Database System	2021	VLDB	7.2166682e-05
3,688	FACE: A Normalizing Flow based Cardinality Estimator	2022	VLDB	7.201795e-05
3,809	Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift	2023	SIGMOD	7.1074195e-05
4,085	Deployment of Query Plans on Multicores	2015	VLDB	6.9149518e-05
4,493	Self-Tuning Query Scheduling for Analytical Workloads	2021	SIGMOD	6.6647555e-05
4,705	Presto: A Decade of SQL Analytics at Meta	2023	SIGMOD	6.5529421e-05
5,148	LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems	2022	SIGMOD	6.3465986e-05
6,543	Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation	2023	SIGMOD	5.8461929e-05
7,149	Distribution-Based Query Scheduling	2013	VLDB	5.6878283e-05

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