Terark-DS: A High-Performance and Storage-Efficient Key-Value Separation Storage Engine on Disaggregated Storage
Summary: Terark-DS: KV-separated LSM for disaggregated storage, tackling the usual write-amplification/space-efficiency tradeoff under networked access. Key ideas: access-pattern-aware differentiated redundancy, adaptive serial/parallel WAL, and network-efficient GC, yielding higher write throughput and lower total cost. (summarized by gpt-5.4-mini on Apr 12 2026)
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Authors
- 1. Jianshun Zhang (Huazhong University of Science and Technology)
- 2. Xun Deng (Huazhong University of Science and Technology)
- 3. Fang Wang (Huazhong University of Science and Technology)
- 4. Jiaxin Ou (ByteDance)
- 5. Yi Wang (ByteDance)
- 6. Hao Wang (ByteDance)
- 7. Jianjun Chen (ByteDance)
- 8. Peng Fang (Huazhong University of Science and Technology)
- 9. Dan Feng (Huazhong University of Science and Technology)
BibTeX Citation
@article{zhang_vldb26,
title = {{Terark-DS: A High-Performance and Storage-Efficient Key-Value Separation Storage Engine on Disaggregated Storage}},
author = {Zhang, Jianshun and Deng, Xun and Wang, Fang and Ou, Jiaxin and Wang, Yi and Wang, Hao and Chen, Jianjun and Fang, Peng and Feng, Dan},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {5},
pages = {822--835},
doi = {10.14778/3796195.3796198},
url = {https://doi.org/10.14778/3796195.3796198},
year = {2026}
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