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Tenant Placement in Over-subscribed Database-as-a-Service Clusters

Summary: Uses historical tenant demand traces to estimate resource shortage risk in oversubscribed multi-tenant DBaaS clusters. Demonstrated in Service Fabric with Azure SQL DB traces, beating prior approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12933
Venue
VLDB
Year
2022
Pagerank
5.8538324e-05
Overall Rank
6,518 | 55.29%
DOI
10.14778/3551793.3551814

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{konig_vldb22,
        title = {{Tenant Placement in Over-subscribed Database-as-a-Service Clusters}},
        author = {König, Arnd Christian and Shan, Yi and Ziegler, Tobias and Kakaraparthy, Aarati and Lang, Willis and Moeller, Justin and Kalhan, Ajay and Narasayya, Vivek},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {11},
        pages = {2559--2571},
        doi = {10.14778/3551793.3551814},
        url = {https://doi.org/10.14778/3551793.3551814},
        year = {2022}
}

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