Resource Management in Aurora Serverless
Summary: Aurora Serverless enables granular, usage-based vertical elasticity despite highly utilized hosts. Hierarchical/reactive control, deliberately unbalanced placement, live migration, and token-bucket regulation preserve seamless scale-up. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bradley Barnhart (Amazon)
- 2. Marc Brooker (Amazon)
- 3. Daniil Chinenkov (Amazon)
- 4. Tony Hooper (Amazon)
- 5. Jihoun Im (Amazon)
- 6. Prakash Chandra Jha (Amazon)
- 7. Tim Kraska (Amazon; Massachusetts Institute of Technology)
- 8. Ashok Kurakula (Amazon)
- 9. Alexey Kuznetsov (Amazon)
- 10. Grant McAlister (Amazon)
- 11. Arjun Muthukrishnan (Amazon)
- 12. Aravinthan Narayanan (Amazon)
- 13. Douglas Terry (Amazon)
- 14. Bhuvan Urgaonkar (Amazon; Pennsylvania State University)
- 15. Jiaming Yan (Amazon)
BibTeX Citation
@article{barnhart_vldb24,
title = {{Resource Management in Aurora Serverless}},
author = {Barnhart, Bradley and Brooker, Marc and Chinenkov, Daniil and Hooper, Tony and Im, Jihoun and Jha, Prakash Chandra and Kraska, Tim and Kurakula, Ashok and Kuznetsov, Alexey and McAlister, Grant and Muthukrishnan, Arjun and Narayanan, Aravinthan and Terry, Douglas and Urgaonkar, Bhuvan and Yan, Jiaming},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4038--4050},
doi = {10.14778/3685800.3685825},
url = {https://doi.org/10.14778/3685800.3685825},
year = {2024}
}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 |
| 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 |
| 10,306 | Workload-Aware Incremental Reclustering in Cloud Data Warehouses | 2026 | SIGMOD | 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 |
| 10,689 | CockroachDB Serverless: Sub-second Scaling from Zero with Multi-region Cluster Virtualization | 2025 | SIGMOD | 5.093636e-05 |
| 10,694 | Managed Resource Scaling in Amazon EMR | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 73 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00037333356 |
| 5,388 | Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing | 2022 | VLDB | 6.2362811e-05 |
| 5,487 | Remus: Efficient Live Migration for Distributed Databases with Snapshot Isolation | 2022 | SIGMOD | 6.2006149e-05 |
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|---|---|---|---|---|
| 1 | 8,375 | Serverless State Management Systems | 2024 | CIDR |
| 2 | 10,694 | Managed Resource Scaling in Amazon EMR | 2025 | SIGMOD |
| 3 | 1,007 | Serverless Computing: One Step Forward, Two Steps Back | 2019 | CIDR |
| 4 | 1,584 | PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers | 2021 | SIGMOD |
| 5 | 5,591 | Flexible Resource Allocation for Relational Database-as-a-Service | 2023 | VLDB |
| 6 | 11,150 | Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless | 2024 | SIGMOD |
| 7 | 2,226 | Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless | 2022 | VLDB |
| 8 | 11,767 | Serverless Query Processing on a Budget | 2020 | SIGMOD |
| 9 | 1,463 | Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes | 2018 | SIGMOD |
| 10 | 73 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD |