Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud
Summary: Models DBaaS over-booking as a tunable idle-sensitivity tradeoff between utilization and reserve capacity. Using Azure SQL DB traces, derives policies and near-term reserve forecasts that improve efficiency and reduce amortized infrastructure cost. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Willis Lang (Microsoft)
- 2. Karthik Ramachandra (Microsoft)
- 3. David J. DeWitt (Microsoft)
- 4. Shize Xu (Microsoft)
- 5. Qun Guo (Microsoft)
- 6. Ajay Kalhan (Microsoft)
- 7. Peter Carlin (Microsoft)
BibTeX Citation
@article{lang_vldb16,
title = {{Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud}},
author = {Lang, Willis and Ramachandra, Karthik and DeWitt, David J. and Xu, Shize and Guo, Qun and Kalhan, Ajay and Carlin, Peter},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
doi = {10.14778/3007263.3007264},
url = {https://doi.org/10.14778/3007263.3007264},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,226 | Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless | 2022 | VLDB | 8.9174082e-05 |
| 5,591 | Flexible Resource Allocation for Relational Database-as-a-Service | 2023 | VLDB | 6.1556906e-05 |
| 5,681 | Survivability of Cloud Databases - Factors and Prediction | 2018 | SIGMOD | 6.1237253e-05 |
| 6,781 | Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation | 2021 | VLDB | 5.7764885e-05 |
| 6,939 | Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities | 2022 | SIGMOD | 5.7338637e-05 |
| 11,150 | Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless | 2024 | SIGMOD | 5.093636e-05 |
| 11,685 | Toto - Benchmarking the Efficiency of a Cloud Service | 2021 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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