Narwhal: Breaking the Local Boundary via Disaggregated Memory Scheduling for Alibaba AnalyticDB
Summary: Narwhal co-schedules local DRAM with an RDMA-disaggregated shared pool, breaking per-machine memory boundaries for bursty OLAP. Hardware-isolated quotas/QoS, a database-aware three-tier cache, and pressure invariants prevent OOMs while enabling high oversubscription with minimal remote borrowing. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Jian Zhou (Alibaba)
- 2. Jiachi Zhang (Alibaba)
- 3. Yang Zhang (Alibaba)
- 4. Yongbo Wang (Alibaba)
- 5. Ruonan Guo (Alibaba)
- 6. Yuemin Wu (Alibaba)
- 7. Zeguang Chang (Alibaba)
- 8. Shuai Wang (Alibaba)
- 9. Ye Yin (Alibaba)
- 10. Wenchao Zhou (Alibaba)
- 11. Liang Lin (Alibaba)
BibTeX Citation
@article{zhou_vldb26,
title = {{Narwhal: Breaking the Local Boundary via Disaggregated Memory Scheduling for Alibaba AnalyticDB}},
author = {Zhou, Jian and Zhang, Jiachi and Zhang, Yang and Wang, Yongbo and Guo, Ruonan and Wu, Yuemin and Chang, Zeguang and Wang, Shuai and Yin, Ye and Zhou, Wenchao and Lin, Liang},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4466--4479},
doi = {10.14778/3827998.3828046},
url = {https://doi.org/10.14778/3827998.3828046},
year = {2026}
}
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