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: 11554
Venue: VLDB
Year: 2016
Pagerank: 7.9197796e-05
Overall Rank: 2,958 | 79.71%
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
563	Plan-Structured Deep Neural Network Models for Query Performance Prediction	2019	VLDB	0.0001650812
1,250	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD	0.00011485301
3,809	Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift	2023	SIGMOD	7.1074195e-05
4,398	Real-time Workload Pattern Analysis for Large-scale Cloud Databases	2023	VLDB	6.7248611e-05
4,987	Releasing Cloud Databases from the Chains of Performance Prediction Models	2017	CIDR	6.4112736e-05
5,072	NashDB: An End-to-End Economic Method for Elastic Database Fragmentation, Replication, and Provisioning	2018	SIGMOD	6.3753956e-05
5,107	Stage: Query Execution Time Prediction in Amazon Redshift	2024	SIGMOD	6.3623786e-05
5,369	Intelligent Scaling in Amazon Redshift	2024	SIGMOD	6.2437078e-05
5,388	Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing	2022	VLDB	6.2362811e-05
5,681	Survivability of Cloud Databases - Factors and Prediction	2018	SIGMOD	6.1237253e-05
6,357	A Unified Transferable Model for ML-Enhanced DBMS	2022	CIDR	5.9020843e-05
8,572	T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees	2025	SIGMOD	5.4102362e-05
8,615	A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning	2024	VLDB	5.4005602e-05
10,969	Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries	2025	VLDB	5.093636e-05
11,151	Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB	2024	SIGMOD	5.093636e-05
11,685	Toto - Benchmarking the Efficiency of a Cloud Service	2021	SIGMOD	5.093636e-05
11,829	Automated Performance Management for the Big Data Stack	2019	CIDR	5.093636e-05
11,863	Cost-Effective, Workload-Adaptive Migration of Big Data Applications to the Cloud	2019	SIGMOD	5.093636e-05
11,872	NashDB: Fragmentation, Replication, and Provisioning using Economic Methods	2019	VLDB	5.093636e-05
12,020	Lifting the Haze off the Cloud: A Consumer-Centric Market for Database Computation in the Cloud	2017	VLDB	5.093636e-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
624	Performance Prediction for Concurrent Database Workloads	2011	SIGMOD	0.00015683402
1,335	SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service	2013	CIDR	0.00011122853
2,091	iCBS: Incremental Cost-based Scheduling under Piecewise Linear SLAs	2011	VLDB	9.1867579e-05
3,259	Characterizing Tenant Behavior for Placement and Crisis Mitigation in Multitenant DBMSs	2013	SIGMOD	7.5892257e-05
3,635	Changing the Face of Database Cloud Services with Personalized Service Level Agreements	2015	CIDR	7.2343405e-05

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#	Overall Rank	Paper	Year	Venue
1	7,589	Cost-Intelligent Data Analytics in the Cloud	2024	CIDR
2	3,116	ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases	2021	SIGMOD
3	5,340	Machine Learning for Databases	2021	VLDB
4	334	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD
5	4,398	Real-time Workload Pattern Analysis for Large-scale Cloud Databases	2023	VLDB
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7	2,499	Learning a Partitioning Advisor for Cloud Databases	2020	SIGMOD
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9	4,053	Database-Agnostic Workload Management	2019	CIDR
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