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Eigen+: Memory Over-Subscription for Alibaba Cloud Databases

Summary: Eigen+ reframes memory over-subscription as Pareto-driven classification to isolate high-risk instances, not forecast aggregate usage. It profiles and schedules these instances to guide bin-packing under SLOs, achieving 36% better memory allocation with no OOM. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7160
Venue
SIGMOD
Year
2025
Pagerank
5.1915905e-05
Overall Rank
9,943 | 31.79%
DOI
10.1145/3722212.3724435

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod25,
        title = {{Eigen+: Memory Over-Subscription for Alibaba Cloud Databases}},
        author = {Li, Ji You and Zhang, Jiachi and Liu, Yuhang and Zhou, Wenchao and Zhou, Xin and Zhou, Fangyuan and Li, Feifei},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3722212.3724435},
        url = {https://dl.acm.org/doi/10.1145/3722212.3724435},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
10,121 End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure 2026 CIDR 5.093636e-05
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