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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)

Paper ID
13478
Venue
VLDB
Year
2023
Pagerank
6.1556906e-05
Overall Rank
5,591 | 61.65%
DOI
10.14778/3625054.3625058

Incoming Non-self Citations Over Time

Authors

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}
}

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