CloudJump: Optimizing Cloud Databases for Cloud Storages
Summary: CloudJump shows how cloud storage invalidates traditional B-tree and LSM-tree assumptions. Its optimization framework systematically transforms on-premise engines, improving cloud-native InnoDB and RocksDB performance. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zongzhi Chen (Alibaba)
- 2. Xinjun Yang (Alibaba)
- 3. Feifei Li (Alibaba)
- 4. Xuntao Cheng (Alibaba)
- 5. Qingda Hu (Alibaba)
- 6. Zheyu Miao (Alibaba)
- 7. Rongbiao Xie (Alibaba)
- 8. Xiaofei Wu (Alibaba)
- 9. Kang Wang (Alibaba)
- 10. Zhao Song (Alibaba)
- 11. Haiqing Sun (Alibaba)
- 12. Zechao Zhuang (Alibaba)
- 13. Yuming Yang (Alibaba)
- 14. Jie Xu (Alibaba)
- 15. Liang Yin (Alibaba)
- 16. Wenchao Zhou (Alibaba)
- 17. Sheng Wang (Alibaba)
BibTeX Citation
@article{chen_vldb22,
title = {{CloudJump: Optimizing Cloud Databases for Cloud Storages}},
author = {Chen, Zongzhi and Yang, Xinjun and Li, Feifei and Cheng, Xuntao and Hu, Qingda and Miao, Zheyu and Xie, Rongbiao and Wu, Xiaofei and Wang, Kang and Song, Zhao and Sun, Haiqing and Zhuang, Zechao and Yang, Yuming and Xu, Jie and Yin, Liang and Zhou, Wenchao and Wang, Sheng},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3432--3444},
doi = {10.14778/3554821.3554834},
url = {https://doi.org/10.14778/3554821.3554834},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,477 | PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba | 2023 | SIGMOD | 6.2051869e-05 |
| 10,688 | CloudJump II: Optimizing Cloud Databases for Shared Storage | 2025 | SIGMOD | 5.093636e-05 |
| 11,218 | Breathing New Life into An Old Tree: Resolving Logging Dilemma of B+-tree on Modern Computational Storage Drives | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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