Towards Building Autonomous Data Services on Azure

Summary: ML-driven automation for Azure cloud data services to configure, optimize, and operate autonomous data services. Leverages workload traces and telemetry to meet SLAs and minimize cost, offering perspectives for providers and users on building autonomous, data-driven services. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6501
Venue: SIGMOD
Year: 2023
Pagerank: 4.5275731e-05
Overall Rank: 8,378 | 41.78%
DOI: 10.1145/3555041.3589674

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,753	Breaking It Down: An In-depth Study of Index Advisors	2024	VLDB	4.9345582e-05
7,684	TDSQL: Tencent Distributed Database System	2024	VLDB	4.6754482e-05
8,854	Optimizing the cloud? Don't train models. Build oracles!	2024	CIDR	4.4306537e-05
9,012	Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems	2024	VLDB	4.4059413e-05
9,194	MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud	2024	VLDB	4.3726269e-05
9,643	Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment	2025	SIGMOD	4.3067693e-05
10,969	Lorentz: Learned SKU Recommendation Using Profile Data (DMDS)	2024	SIGMOD	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 26 of 26 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
101	The Case for Learned Index Structures	2018	SIGMOD	0.00049778866
258	DB2 Design Advisor: Integrated Automatic Physical Database Design	2004	VLDB	0.00030196528
329	Neo: A Learned Query Optimizer	2019	VLDB	0.00027301488
371	Self-Driving Database Management Systems	2017	CIDR	0.00025382677
845	Index Selection in a Self-Adaptive Data Base Management System	1976	SIGMOD	0.00015953779
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
2,080	Towards a Learning Optimizer for Shared Clouds	2019	VLDB	9.5954034e-05
2,376	Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless	2022	VLDB	8.9367999e-05
3,269	Learned Cardinality Estimation: An In-depth Study	2022	SIGMOD	7.3026051e-05
3,623	Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings	2020	SIGMOD	6.9017341e-05
3,866	Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML	2020	CIDR	6.6795497e-05
3,905	A Demonstration of the OtterTune Automatic Database Management System Tuning Service	2018	VLDB	6.6430079e-05
4,171	Computation Reuse in Analytics Job Service at Microsoft	2018	SIGMOD	6.3800823e-05
4,216	Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation	2021	VLDB	6.3448176e-05
4,687	Deploying a Steered Query Optimizer in Production at Microsoft	2022	SIGMOD	5.9915268e-05
5,486	Containerized Execution of UDFs: An Experimental Evaluation	2022	VLDB	5.481452e-05
5,994	Steering Query Optimizers: A Practical Take on Big Data Workloads	2021	SIGMOD	5.2367998e-05
6,113	Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud	2022	VLDB	5.2006495e-05
6,278	The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward	2021	VLDB	5.1241654e-05
7,044	Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation	2021	VLDB	4.8475963e-05
7,099	KEA: Tuning an Exabyte-Scale Data Infrastructure	2021	SIGMOD	4.8263529e-05
7,685	AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft	2020	VLDB	4.6753414e-05
8,196	SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft	2021	VLDB	4.5568952e-05
8,859	Pipemizer: An Optimizer for Analytics Data Pipelines	2022	VLDB	4.4301601e-05
9,138	Phoebe: A Learning-based Checkpoint Optimizer	2021	VLDB	4.3842765e-05

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Overall Rank	Paper	Year	Venue	Pagerank
10,934	Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless	2024	SIGMOD	4.1905499e-05
7,652	Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward	2021	VLDB	4.6831938e-05
2,050	Automatically Indexing Millions of Databases in Microsoft Azure SQL Database	2019	SIGMOD	9.6883066e-05
7,787	Cost-Intelligent Data Analytics in the Cloud	2024	CIDR	4.6468106e-05
1,321	Automated Demand-driven Resource Scaling in Relational Database-as-a-Service	2016	SIGMOD	0.00012605455
7,264	Serverless Data Science - Are We There Yet? A Case Study of Model Serving	2022	SIGMOD	4.7781264e-05
4,966	Releasing Cloud Databases from the Chains of Performance Prediction Models	2017	CIDR	5.7949047e-05
13,380	XCloud: Extensible Performance Management for Cloud Data Services	2015	CIDR	-
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7,291	Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities	2022	SIGMOD	4.7677422e-05