CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service
Summary: Introduces CPU schedulers for multi-tenant relational DaaS that provide fine-grained absolute reservations without static allocation, while adapting to bursty demand. Exposes provider-controlled revenue–fairness tradeoffs, validated in a commercial prototype. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sudipto Das (Microsoft)
- 2. Vivek R. Narasayya (Microsoft)
- 3. Feng Li (National University of Singapore)
- 4. Manoj Syamala (Microsoft)
BibTeX Citation
@article{das_vldb14,
title = {{CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service}},
author = {Das, Sudipto and Narasayya, Vivek R. and Li, Feng and Syamala, Manoj},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {1},
pages = {37--48},
doi = {10.14778/2732219.2732223},
url = {https://doi.org/10.14778/2732219.2732223},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 584 | Workload-Aware Database Monitoring and Consolidation | 2011 | SIGMOD | 0.00016139925 |
| 1,335 | SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service | 2013 | CIDR | 0.00011122853 |
| 3,259 | Characterizing Tenant Behavior for Placement and Crisis Mitigation in Multitenant DBMSs | 2013 | SIGMOD | 7.5892257e-05 |
| 4,096 | Parallel Analytics as a Service | 2013 | SIGMOD | 6.9057396e-05 |
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