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Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases

Summary: Tempo: robust, self-tuning RM for multi-tenant parallel databases. Declarative performance objectives drive automatic RM configuration with robustness guarantees; experiments on production traces (Facebook, Cloudera) show significant improvements over human-tuned RM settings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11549
Venue
VLDB
Year
2016
Pagerank
5.3267474e-05
Overall Rank
9,039 | 37.99%
DOI
10.14778/2977797.2977804

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BibTeX Citation

@article{tan_vldb16,
        title = {{Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases}},
        author = {Tan, Zilong and Babu, Shivnath},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {10},
        pages = {720--731},
        doi = {10.14778/2977797.2977804},
        url = {https://doi.org/10.14778/2977797.2977804},
        year = {2016}
}

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