Flexible Resource Allocation for Relational Database-as-a-Service
Summary: DBMS-aware oversubscription framework that dynamically and cheaply redistributes CPU/memory/IO across tenants at node and cluster granularity, leveraging DBMS resource-usage models rather than generic hypervisor policies. Implemented in Azure SQL Database with benchmarks and traces showing tight performance control even under high oversubscription. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pankaj Arora (Microsoft)
- 2. Surajit Chaudhuri (Microsoft)
- 3. Sudipto Das (Amazon)
- 4. Junfeng Dong (Microsoft)
- 5. Cyril George (Microsoft)
- 6. Ajay Kalhan (Microsoft)
- 7. Arnd Christian König (Microsoft)
- 8. Willis Lang (Microsoft)
- 9. Changsong Li (Microsoft)
- 10. Feng Li (Meta)
- 11. Jiaqi Liu (Microsoft)
- 12. Lukas M. Maas (Microsoft)
- 13. Akshay Mata (Microsoft)
- 14. Ishai Menache (Microsoft)
- 15. Justin Moeller (Microsoft)
- 16. Vivek Narasayya (Microsoft)
- 17. Matthaios Olma (Microsoft)
- 18. Morgan Oslake (Microsoft)
- 19. Elnaz Rezai (Amazon)
- 20. Yi Shan (Microsoft)
- 21. Manoj Syamala (Microsoft)
- 22. Shize Xu (Stripe Inc.)
- 23. Vasileios Zois (Microsoft)
BibTeX Citation
@article{arora_vldb23,
title = {{Flexible Resource Allocation for Relational Database-as-a-Service}},
author = {Arora, Pankaj and Chaudhuri, Surajit and Das, Sudipto and Dong, Junfeng and George, Cyril and Kalhan, Ajay and König, Arnd Christian and Lang, Willis and Li, Changsong and Li, Feng and Liu, Jiaqi and Maas, Lukas M. and Mata, Akshay and Menache, Ishai and Moeller, Justin and Narasayya, Vivek and Olma, Matthaios and Oslake, Morgan and Rezai, Elnaz and Shan, Yi and Syamala, Manoj and Xu, Shize and Zois, Vasileios},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {13},
pages = {4202--4215},
doi = {10.14778/3625054.3625058},
url = {https://doi.org/10.14778/3625054.3625058},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,818 | Resource-Adaptive Query Execution with Paged Memory Management | 2025 | CIDR | 5.3637177e-05 |
| 8,910 | Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud | 2024 | SIGMOD | 5.3483178e-05 |
| 9,943 | Eigen+: Memory Over-Subscription for Alibaba Cloud Databases | 2025 | SIGMOD | 5.1915905e-05 |
| 10,121 | End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure | 2026 | CIDR | 5.093636e-05 |
| 10,471 | Making LSM-Tree-based Key-Value Store Practical and Efficient for Multi-Tenant Serverless Cloud Databases | 2026 | SIGMOD | 5.093636e-05 |
| 11,001 | veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System | 2025 | VLDB | 5.093636e-05 |
| 11,289 | X-Stor: A Cloud-native NoSQL Database Service with Multi-model Support | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 8 | 11,150 | Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless | 2024 | SIGMOD |
| 9 | 1,092 | Automated Demand-driven Resource Scaling in Relational Database-as-a-Service | 2016 | SIGMOD |
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