WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases

Summary: WiSeDB jointly learns query placement, scheduling, and resource provisioning for cloud databases, optimizing application-defined performance goals and cost rather than a single metric. Decision-tree models support batch/online control and adapt efficiently to changed goals with minimal retraining. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: ha41cc75eb2359e52
Venue: VLDB
Year: 2016
Pagerank: 7.7851845e-05
Overall Rank: 2,981 | 79.96%
DOI: 10.14778/2977797.2977803

Incoming Non-self Citations Over Time

Authors

1. Ryan Marcus (Brandeis University)
2. Olga Papaemmanouil (Brandeis University)

BibTeX Citation

@article{marcus_vldb16,
        title = {{WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases}},
        author = {Marcus, Ryan and Papaemmanouil, Olga},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {10},
        pages = {780--791},
        doi = {10.14778/2977797.2977803},
        url = {https://doi.org/10.14778/2977797.2977803},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
560	Plan-Structured Deep Neural Network Models for Query Performance Prediction	2019	VLDB	0.00016403151
1,255	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD	0.00011325762
3,563	Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift	2023	SIGMOD	7.2042148e-05
4,468	Real-time Workload Pattern Analysis for Large-scale Cloud Databases	2023	VLDB	6.5863349e-05
4,666	Intelligent Scaling in Amazon Redshift	2024	SIGMOD	6.479878e-05
5,058	Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing	2022	VLDB	6.2926774e-05
5,087	Releasing Cloud Databases from the Chains of Performance Prediction Models	2017	CIDR	6.2809904e-05
5,159	NashDB: An End-to-End Economic Method for Elastic Database Fragmentation, Replication, and Provisioning	2018	SIGMOD	6.2482448e-05
5,214	Stage: Query Execution Time Prediction in Amazon Redshift	2024	SIGMOD	6.2248104e-05
5,766	Survivability of Cloud Databases - Factors and Prediction	2018	SIGMOD	6.0025753e-05
6,416	A Unified Transferable Model for ML-Enhanced DBMS	2022	CIDR	5.7920805e-05
7,460	T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees	2025	SIGMOD	5.5215755e-05
8,004	A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning	2024	VLDB	5.4089097e-05
10,148	Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries	2025	VLDB	5.0715586e-05
11,499	Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB	2024	SIGMOD	4.9793485e-05
11,992	Toto - Benchmarking the Efficiency of a Cloud Service	2021	SIGMOD	4.9793485e-05
12,130	Automated Performance Management for the Big Data Stack	2019	CIDR	4.9793485e-05
12,163	Cost-Effective, Workload-Adaptive Migration of Big Data Applications to the Cloud	2019	SIGMOD	4.9793485e-05
12,172	NashDB: Fragmentation, Replication, and Provisioning using Economic Methods	2019	VLDB	4.9793485e-05
12,315	Lifting the Haze off the Cloud: A Consumer-Centric Market for Database Computation in the Cloud	2017	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
629	Performance Prediction for Concurrent Database Workloads	2011	SIGMOD	0.00015429949
1,338	SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service	2013	CIDR	0.00010979494
2,106	iCBS: Incremental Cost-based Scheduling under Piecewise Linear SLAs	2011	VLDB	9.0316322e-05
3,237	Characterizing Tenant Behavior for Placement and Crisis Mitigation in Multitenant DBMSs	2013	SIGMOD	7.5017163e-05
3,693	Changing the Face of Database Cloud Services with Personalized Service Level Agreements	2015	CIDR	7.093442e-05

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3	4,741	Machine Learning for Databases	2021	VLDB
4	314	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD
5	4,468	Real-time Workload Pattern Analysis for Large-scale Cloud Databases	2023	VLDB
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7	2,478	Learning a Partitioning Advisor for Cloud Databases	2020	SIGMOD
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9	4,059	Database-Agnostic Workload Management	2019	CIDR
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