PartitionKV: Redesigning LSM-tree KV Stores on NVMs with Adaptive Partitioning for Reducing Write Stalls and Amplification
Summary: PartitionKV rethinks LSM KV stores on DRAM-NVM-SSD by replacing unordered MemTable/L0 with ordered NVM partitions that act as both write buffer and WAL. Adaptive split/merge partitioning plus multi-threaded compaction cut L0-L1 rewrite, reducing write stalls/amplification and boosting random writes. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Xingye Huang
- 2. Jinyu Wu
- 3. Xiaofang Xia
- 4. Jiangtao Cui
- 5. Hui Li
- 6. Liang Wang
- 7. Feng Zhang
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 819 | Persistent B+-Trees in Non-Volatile Main Memory | 2015 | VLDB | 0.00016298164 |
| 1,613 | Realtime Data Processing at Facebook | 2016 | SIGMOD | 0.00011140777 |
| 3,564 | Accordion: Better Memory Organization for LSM Key-Value Stores | 2018 | VLDB | 6.9669032e-05 |
| 3,965 | Spooky: Granulating LSM-Tree Compactions Correctly | 2022 | VLDB | 6.5820028e-05 |
| 4,588 | Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines | 2020 | VLDB | 6.0655418e-05 |
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