Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud

Summary: Doppler automates Azure SQL recommendations for migrations using a price–performance score from metrics, without access to sensitive data. Augmented by Azure-behavior priors, it nudges toward SKU, exposes cost savings, and is validated in DMS v5.5. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12827
Venue: VLDB
Year: 2022
Pagerank: 5.2056003e-05
Overall Rank: 6,110 | 57.50%
DOI: 10.14778/3554821.3554840

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,020	The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions	2024	VLDB	4.6040862e-05
8,416	Towards Building Autonomous Data Services on Azure	2023	SIGMOD	4.5196199e-05
8,739	Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud	2024	SIGMOD	4.456315e-05
8,902	DoppelGanger++: Towards Fast Dependency Graph Generation for Database Replay	2024	SIGMOD	4.427232e-05
10,217	This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch!	2026	SIGMOD	4.1945683e-05
10,931	Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless	2024	SIGMOD	4.1945683e-05
10,966	Lorentz: Learned SKU Recommendation Using Profile Data (DMDS)	2024	SIGMOD	4.1945683e-05
11,085	OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud	2024	VLDB	4.1945683e-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
2,568	Towards Cost-Optimal Query Processing in the Cloud	2021	VLDB	8.5239227e-05
3,098	Oracle Database Replay	2008	SIGMOD	7.5646066e-05
3,789	DIAMetrics: Benchmarking Query Engines at Scale	2020	VLDB	6.7644737e-05
6,209	AutoExecutor: Predictive Parallelism for Spark SQL Queries	2021	VLDB	5.1565972e-05
6,757	KEA: Tuning an Exabyte-Scale Data Infrastructure	2021	SIGMOD	4.9372134e-05

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