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)
Incoming Non-self Citations Over Time
Authors
- 1. Joyce Cahoon
- 2. Wenjing Wang
- 3. Yiwen Zhu
- 4. Katherine Lin
- 5. Sean Liu
- 6. Raymond Truong
- 7. Neetu Singh
- 8. Chengcheng Wan
- 9. Alexandra Ciortea
- 10. Sreraman Narasimhan
- 11. Subru Krishnan
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
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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 |
|---|---|---|---|---|
| 2,553 | Towards Cost-Optimal Query Processing in the Cloud | 2021 | VLDB | 8.5522099e-05 |
| 3,102 | Oracle Database Replay | 2008 | SIGMOD | 7.5604346e-05 |
| 3,750 | DIAMetrics: Benchmarking Query Engines at Scale | 2020 | VLDB | 6.7864305e-05 |
| 5,876 | AutoExecutor: Predictive Parallelism for Spark SQL Queries | 2021 | VLDB | 5.2886967e-05 |
| 7,099 | KEA: Tuning an Exabyte-Scale Data Infrastructure | 2021 | SIGMOD | 4.8263529e-05 |
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