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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
6500
Venue
SIGMOD
Year
2023
Pagerank
4.5196199e-05
Overall Rank
8,416 | 41.46%
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
6,750 Breaking It Down: An In-depth Study of Index Advisors 2024 VLDB 4.9392771e-05
7,683 TDSQL: Tencent Distributed Database System 2024 VLDB 4.6799361e-05
8,854 Optimizing the cloud? Don't train models. Build oracles! 2024 CIDR 4.4349047e-05
9,006 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 4.4101482e-05
9,190 MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud 2024 VLDB 4.3768215e-05
10,414 Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment 2025 SIGMOD 4.1945683e-05
10,966 Lorentz: Learned SKU Recommendation Using Profile Data (DMDS) 2024 SIGMOD 4.1945683e-05
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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
102 The Case for Learned Index Structures 2018 SIGMOD 0.00049545203
258 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.0003022091
333 Neo: A Learned Query Optimizer 2019 VLDB 0.00027206884
359 Self-Driving Database Management Systems 2017 CIDR 0.0002592783
874 Index Selection in a Self-Adaptive Data Base Management System 1976 SIGMOD 0.00015728533
1,084 Dhalion: Self-Regulating Stream Processing in Heron 2017 VLDB 0.00014209714
1,322 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012610912
2,083 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 9.5834572e-05
2,375 Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless 2022 VLDB 8.9452359e-05
3,266 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 7.3074684e-05
3,625 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 6.9055212e-05
3,875 Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML 2020 CIDR 6.675257e-05
3,914 A Demonstration of the OtterTune Automatic Database Management System Tuning Service 2018 VLDB 6.6339644e-05
4,174 Computation Reuse in Analytics Job Service at Microsoft 2018 SIGMOD 6.3856219e-05
4,240 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 6.3318228e-05
4,690 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 5.997226e-05
5,476 Containerized Execution of UDFs: An Experimental Evaluation 2022 VLDB 5.4866534e-05
6,040 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 5.2412035e-05
6,110 Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud 2022 VLDB 5.2056003e-05
6,261 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.1350714e-05
6,757 KEA: Tuning an Exabyte-Scale Data Infrastructure 2021 SIGMOD 4.9372134e-05
7,047 Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation 2021 VLDB 4.8521181e-05
7,684 AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft 2020 VLDB 4.6796855e-05
8,197 SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft 2021 VLDB 4.5607121e-05
8,859 Pipemizer: An Optimizer for Analytics Data Pipelines 2022 VLDB 4.4344107e-05
9,194 Phoebe: A Learning-based Checkpoint Optimizer 2021 VLDB 4.3761777e-05
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