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: 12638
Venue: VLDB
Year: 2022
Pagerank: 8.9367999e-05
Overall Rank: 2,376 | 83.49%
DOI: 10.14778/3514061.3514073

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,871	MagicScaler: Uncertainty-aware, Predictive Autoscaling	2023	VLDB	6.6738199e-05
4,615	Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud	2023	VLDB	6.0410647e-05
8,099	GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage Disaggregation	2024	VLDB	4.58218e-05
8,378	Towards Building Autonomous Data Services on Azure	2023	SIGMOD	4.5275731e-05
8,735	Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud	2024	SIGMOD	4.4520434e-05
9,124	PolarDB-SCC: A Cloud-Native Database Ensuring Low Latency for Strongly Consistent Reads	2023	VLDB	4.3875066e-05
9,792	Eigen+: Memory Over-Subscription for Alibaba Cloud Databases	2025	SIGMOD	4.2777144e-05
9,911	ElasticNotebook: Enabling Live Migration for Computational Notebooks	2024	VLDB	4.2524493e-05
10,182	Making LSM-Tree-based Key-Value Store Practical and Efficient for Multi-Tenant Serverless Cloud Databases	2026	SIGMOD	4.1905499e-05
10,411	ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments	2025	SIGMOD	4.1905499e-05
10,934	Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless	2024	SIGMOD	4.1905499e-05
10,935	Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB	2024	SIGMOD	4.1905499e-05
10,969	Lorentz: Learned SKU Recommendation Using Profile Data (DMDS)	2024	SIGMOD	4.1905499e-05
11,014	Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service	2024	VLDB	4.1905499e-05
11,084	Towards Millions of Database Transmission Services in the Cloud	2024	VLDB	4.1905499e-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
371	Self-Driving Database Management Systems	2017	CIDR	0.00025382677
1,081	Dhalion: Self-Regulating Stream Processing in Heron	2017	VLDB	0.00014201838
1,321	Automated Demand-driven Resource Scaling in Relational Database-as-a-Service	2016	SIGMOD	0.00012605455
1,498	P-Store: An Elastic Database System with Predictive Provisioning	2018	SIGMOD	0.00011660631
5,729	Survivability of Cloud Databases - Factors and Prediction	2018	SIGMOD	5.3499416e-05
7,044	Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation	2021	VLDB	4.8475963e-05
9,948	Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud	2016	VLDB	4.2391069e-05
11,491	Toto - Benchmarking the Efficiency of a Cloud Service	2021	SIGMOD	4.1905499e-05

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664	Relational Cloud: A Database-as-a-Service for the Cloud	2011	CIDR	0.0001846313
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11,575	Serverless Query Processing on a Budget	2020	SIGMOD	4.1905499e-05
5,729	Survivability of Cloud Databases - Factors and Prediction	2018	SIGMOD	5.3499416e-05
9,948	Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud	2016	VLDB	4.2391069e-05
1,321	Automated Demand-driven Resource Scaling in Relational Database-as-a-Service	2016	SIGMOD	0.00012605455
6,066	Flexible Resource Allocation for Relational Database-as-a-Service	2023	VLDB	5.225259e-05
10,934	Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless	2024	SIGMOD	4.1905499e-05