ScaleSense: Cost-Intelligent Scaling Framework via Learned Resource Estimation in Alibaba AnalyticDB
Summary: ScaleSense combines plan/hardware-aware query embeddings with quantile resource-footprint prediction for proactive, multidimensional scaling in AnalyticDB. Its retraining-free controller optimizes the performance–cost frontier, improving configuration selection 76.7% and cutting cost up to 5.22×. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Yifan Wu (Zhejiang University)
- 2. Yuhan Li (Alibaba)
- 3. Zhenhua Wang (Alibaba)
- 4. Ke Chen (Zhejiang University)
- 5. Lidan Shou (Zhejiang University)
- 6. Zonghao Chen (Zhejiang University)
- 7. Liang Lin (Alibaba)
- 8. Huan Li (Zhejiang University)
- 9. Gang Chen (Zhejiang University)
BibTeX Citation
@article{wu_vldb26,
title = {{ScaleSense: Cost-Intelligent Scaling Framework via Learned Resource Estimation in Alibaba AnalyticDB}},
author = {Wu, Yifan and Li, Yuhan and Wang, Zhenhua and Chen, Ke and Shou, Lidan and Chen, Zonghao and Lin, Liang and Li, Huan and Chen, Gang},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4063--4075},
doi = {10.14778/3827998.3828016},
url = {https://doi.org/10.14778/3827998.3828016},
year = {2026}
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