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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
hf5aac71b2dd4f8ac
Venue
VLDB
Year
2022
Pagerank
5.9411704e-05
Overall Rank
5,938 | 60.08%
DOI
10.14778/3554821.3554840

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cahoon_vldb22,
        title = {{Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud}},
        author = {Cahoon, Joyce and Wang, Wenjing and Zhu, Yiwen and Lin, Katherine and Liu, Sean and Truong, Raymond and Singh, Neetu and Wan, Chengcheng and Ciortea, Alexandra and Narasimhan, Sreraman and Krishnan, Subru},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3509--3521},
        doi = {10.14778/3554821.3554840},
        url = {https://doi.org/10.14778/3554821.3554840},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 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
2,213 Towards Cost-Optimal Query Processing in the Cloud 2021 VLDB 8.8206114e-05
3,102 Oracle Database Replay 2008 SIGMOD 7.6485305e-05
3,465 DIAMetrics: Benchmarking Query Engines at Scale 2020 VLDB 7.2808932e-05
6,196 AutoExecutor: Predictive Parallelism for Spark SQL Queries 2021 VLDB 5.8533869e-05
7,084 KEA: Tuning an Exabyte-Scale Data Infrastructure 2021 SIGMOD 5.6029455e-05
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