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Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud

Summary: Eigen is a hierarchical, resource-flow-based system for end-to-end optimization of large, geo-distributed cloud database clusters. Production deployment combines three algorithms to raise allocation from 60% to 87% while keeping delayed provisioning below 0.1%. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13396
Venue
VLDB
Year
2023
Pagerank
6.7152625e-05
Overall Rank
4,415 | 69.72%
DOI
10.14778/3611540.3611565

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb23,
        title = {{Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud}},
        author = {Li, Ji You and Zhang, Jiachi and Zhou, Wenchao and Liu, Yuhang and Zhang, Shuai and Xue, Zhuoming and Xu, Ding and Fan, Hua and Zhou, Fangyuan and Li, Feifei},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3795--3807},
        doi = {10.14778/3611540.3611565},
        url = {https://doi.org/10.14778/3611540.3611565},
        year = {2023}
}

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