Lorentz: Learned SKU Recommendation Using Profile Data (DMDS)
Summary: Lorentz learns SKU/capacity recommendations for new cloud services without workload traces, using customer profile telemetry from existing users to predict provisioning needs. Novelty is a continuous feedback loop from satisfaction signals that personalizes cost-vs-performance choices, cutting slack >60% on Azure PostgreSQL VMs. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Nick Glaze (Microsoft)
- 2. Tria McNeely (Microsoft)
- 3. Yiwen Zhu (Microsoft)
- 4. Matthew Gleeson (Microsoft)
- 5. Helen Serr (Microsoft)
- 6. Rajeev Bhopi (Microsoft)
- 7. Subru Krishnan (Microsoft)
BibTeX Citation
@inproceedings{glaze_sigmod24,
title = {{Lorentz: Learned SKU Recommendation Using Profile Data (DMDS)}},
author = {Glaze, Nick and McNeely, Tria and Zhu, Yiwen and Gleeson, Matthew and Serr, Helen and Bhopi, Rajeev and Krishnan, Subru},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654952},
url = {https://dl.acm.org/doi/10.1145/3654952},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 854 | Index Selection in a Self-Adaptive Data Base Management System | 1976 | SIGMOD | 0.00013581028 |
| 1,092 | Automated Demand-driven Resource Scaling in Relational Database-as-a-Service | 2016 | SIGMOD | 0.00012221946 |
| 1,218 | P-Store: An Elastic Database System with Predictive Provisioning | 2018 | SIGMOD | 0.00011621066 |
| 1,224 | Dhalion: Self-Regulating Stream Processing in Heron | 2017 | VLDB | 0.00011596911 |
| 2,226 | Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless | 2022 | VLDB | 8.9174082e-05 |
| 6,177 | Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud | 2022 | VLDB | 5.9496208e-05 |
| 6,781 | Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation | 2021 | VLDB | 5.7764885e-05 |
| 6,946 | KEA: Tuning an Exabyte-Scale Data Infrastructure | 2021 | SIGMOD | 5.7309848e-05 |
| 8,193 | Towards Building Autonomous Data Services on Azure | 2023 | SIGMOD | 5.4696038e-05 |
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