Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service
Summary: Solver-in-the-loop DBaaS placement: cast minimizing service disruption (tenant moves, constraint violations) as a fast combinatorial optimization that models dynamic, high-variance tenant demands and move costs. Implemented in Service Fabric; substantially reduces moves and violations vs. prior managers. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arnd Christian König (Microsoft)
- 2. Yi Shan (Microsoft)
- 3. Karan Newatia (University of Pennsylvania)
- 4. Luke Marshall (Microsoft)
- 5. Vivek Narasayya (Microsoft)
BibTeX Citation
@article{konig_vldb23,
title = {{Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service}},
author = {König, Arnd Christian and Shan, Yi and Newatia, Karan and Marshall, Luke and Narasayya, Vivek},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {13},
pages = {4254--4267},
doi = {10.14778/3625054.3625062},
url = {https://doi.org/10.14778/3625054.3625062},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,785 | Tao: Improving Resource Utilization while Guaranteeing SLO in Multi-tenant Relational Database-as-a-Service | 2024 | SIGMOD | 5.3735061e-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 |
| 10,686 | ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments | 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 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 741 | Zephyr: Live Migration in Shared Nothing Databases for Elastic Cloud Platforms | 2011 | SIGMOD | 0.00014442062 |
| 902 | Albatross: Lightweight Elasticity in Shared Storage Databases for the Cloud using Live Data Migration | 2011 | VLDB | 0.00013328979 |
| 3,373 | RTP: Robust Tenant Placement for Elastic In-Memory Database Clusters | 2013 | SIGMOD | 7.4671258e-05 |
| 4,415 | Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud | 2023 | VLDB | 6.7152625e-05 |
| 5,681 | Survivability of Cloud Databases - Factors and Prediction | 2018 | SIGMOD | 6.1237253e-05 |
| 6,518 | Tenant Placement in Over-subscribed Database-as-a-Service Clusters | 2022 | VLDB | 5.8538324e-05 |
| 8,115 | Scaling a Declarative Cluster Manager Architecture with Query Optimization Techniques | 2023 | VLDB | 5.4842672e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,236 | Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service | 2015 | VLDB |
| 2 | 8,115 | Scaling a Declarative Cluster Manager Architecture with Query Optimization Techniques | 2023 | VLDB |
| 3 | 11,150 | Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless | 2024 | SIGMOD |
| 4 | 2,381 | CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service | 2014 | VLDB |
| 5 | 4,987 | Releasing Cloud Databases from the Chains of Performance Prediction Models | 2017 | CIDR |
| 6 | 3,373 | RTP: Robust Tenant Placement for Elastic In-Memory Database Clusters | 2013 | SIGMOD |
| 7 | 10,098 | Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud | 2016 | VLDB |
| 8 | 1,092 | Automated Demand-driven Resource Scaling in Relational Database-as-a-Service | 2016 | SIGMOD |
| 9 | 5,591 | Flexible Resource Allocation for Relational Database-as-a-Service | 2023 | VLDB |
| 10 | 6,518 | Tenant Placement in Over-subscribed Database-as-a-Service Clusters | 2022 | VLDB |