Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless

Summary: Moneyball introduces proactive auto-scaling for Azure SQL Database Serverless by predicting pause/resume patterns to pre-warm resources, reducing wake-up latency. It avoids short idle reclamation to balance QoS and cost, enabling global adoption. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: ha93fd0cb2273f6de
Venue: VLDB
Year: 2022
Pagerank: 9.2176321e-05
Overall Rank: 1,994 | 86.60%
DOI: 10.14778/3514061.3514073

Incoming Non-self Citations Over Time

Authors

1. Olga Poppe (Microsoft)
2. Qun Guo (Microsoft)
3. Willis Lang (Microsoft)
4. Pankaj Arora (Microsoft)
5. Morgan Oslake (Microsoft)
6. Shize Xu (Microsoft)
7. Ajay Kalhan (Microsoft)

BibTeX Citation

@article{poppe_vldb22,
        title = {{Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless}},
        author = {Poppe, Olga and Guo, Qun and Lang, Willis and Arora, Pankaj and Oslake, Morgan and Xu, Shize and Kalhan, Ajay},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {6},
        pages = {1279--1287},
        doi = {10.14778/3514061.3514073},
        url = {https://doi.org/10.14778/3514061.3514073},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 18 of 18 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,947	Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud	2023	VLDB	6.9057719e-05
4,025	MagicScaler: Uncertainty-aware, Predictive Autoscaling	2023	VLDB	6.8460581e-05
6,604	GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage Disaggregation	2024	VLDB	5.7392648e-05
7,345	PolarDB-SCC: A Cloud-Native Database Ensuring Low Latency for Strongly Consistent Reads	2023	VLDB	5.5461882e-05
8,352	Towards Building Autonomous Data Services on Azure	2023	SIGMOD	5.3488341e-05
9,075	Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud	2024	SIGMOD	5.2283159e-05
9,908	ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments	2025	SIGMOD	5.1103839e-05
9,959	Lorentz: Learned SKU Recommendation Using Profile Data (DMDS)	2024	SIGMOD	5.1038322e-05
10,122	Eigen+: Memory Over-Subscription for Alibaba Cloud Databases	2025	SIGMOD	5.0769466e-05
10,279	ElasticNotebook: Enabling Live Migration for Computational Notebooks	2024	VLDB	5.0455234e-05
10,658	Making LSM-Tree-based Key-Value Store Practical and Efficient for Multi-Tenant Serverless Cloud Databases	2026	SIGMOD	4.9793485e-05
10,755	A Resource-centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric	2026	VLDB	4.9793485e-05
10,919	ScaleSense: Cost-Intelligent Scaling Framework via Learned Resource Estimation in Alibaba AnalyticDB	2026	VLDB	4.9793485e-05
10,943	Lakebase: Serverless Postgres over Open Lake Storage	2026	VLDB	4.9793485e-05
11,498	Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless	2024	SIGMOD	4.9793485e-05
11,499	Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB	2024	SIGMOD	4.9793485e-05
11,559	Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service	2024	VLDB	4.9793485e-05
11,610	Towards Millions of Database Transmission Services in the Cloud	2024	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
224	Self-Driving Database Management Systems	2017	CIDR	0.00024013745
1,067	Automated Demand-driven Resource Scaling in Relational Database-as-a-Service	2016	SIGMOD	0.0001219157
1,160	P-Store: An Elastic Database System with Predictive Provisioning	2018	SIGMOD	0.00011769228
1,233	Dhalion: Self-Regulating Stream Processing in Heron	2017	VLDB	0.00011405873
5,766	Survivability of Cloud Databases - Factors and Prediction	2018	SIGMOD	6.0025753e-05
6,901	Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation	2021	VLDB	5.6520335e-05
10,319	Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud	2016	VLDB	5.0351368e-05
11,992	Toto - Benchmarking the Efficiency of a Cloud Service	2021	SIGMOD	4.9793485e-05

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#	Overall Rank	Paper	Year	Venue
1	10,919	ScaleSense: Cost-Intelligent Scaling Framework via Learned Resource Estimation in Alibaba AnalyticDB	2026	VLDB
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3	641	Relational Cloud: A Database-as-a-Service for the Cloud	2011	CIDR
4	1,017	Extreme Scale with Full SQL Language Support in Microsoft SQL Azure	2010	SIGMOD
5	12,069	Serverless Query Processing on a Budget	2020	SIGMOD
6	5,766	Survivability of Cloud Databases - Factors and Prediction	2018	SIGMOD
7	10,319	Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud	2016	VLDB
8	1,067	Automated Demand-driven Resource Scaling in Relational Database-as-a-Service	2016	SIGMOD
9	5,389	Flexible Resource Allocation for Relational Database-as-a-Service	2023	VLDB
10	11,498	Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless	2024	SIGMOD