Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines
Summary: Leaper, a learned prefetcher for LSM-tree storage, predicts hot records and prefetches them to the cache to dampen invalidations from compaction. Implemented as a lightweight X-Engine plug-in, it reduces cache invalidations by ~70% and latency spikes by ~99% with ≤0.95% overhead. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lei Yang (Peking University)
- 2. Hong Wu (Alibaba)
- 3. Tieying Zhang (Alibaba)
- 4. Xuntao Cheng (Alibaba)
- 5. Feifei Li (Alibaba)
- 6. Lei Zou (Peking University)
- 7. Yujie Wang (Alibaba)
- 8. Rongyao Chen (Alibaba)
- 9. Jianying Wang (Alibaba)
- 10. Gui Huang (Alibaba)
BibTeX Citation
@article{yang_vldb20,
title = {{Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines}},
author = {Yang, Lei and Wu, Hong and Zhang, Tieying and Cheng, Xuntao and Li, Feifei and Zou, Lei and Wang, Yujie and Chen, Rongyao and Wang, Jianying and Huang, Gui},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {11},
pages = {1976--1989},
doi = {10.14778/3407790.3407803},
url = {https://doi.org/10.14778/3407790.3407803},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,471 | Making LSM-Tree-based Key-Value Store Practical and Efficient for Multi-Tenant Serverless Cloud Databases | 2026 | SIGMOD |
| 2 | 275 | bLSM: A General Purpose Log Structured Merge Tree | 2012 | SIGMOD |
| 3 | 6,843 | Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads | 2023 | SIGMOD |
| 4 | 6,828 | Breaking Down Memory Walls in LSM-based Storage Systems | 2020 | SIGMOD |
| 5 | 9,995 | DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree | 2025 | VLDB |
| 6 | 10,465 | Improving Range Scan Performance in LSM-trees with Group Caching | 2026 | SIGMOD |
| 7 | 11,908 | Splaying Log-Structured Merge-Trees | 2018 | SIGMOD |
| 8 | 2,755 | Lethe: A Tunable Delete-Aware LSM Engine | 2020 | SIGMOD |
| 9 | 8,360 | SA-LSM: Optimize Data Layout for LSM-tree Based Storage using Survival Analysis | 2022 | VLDB |
| 10 | 11,554 | Workload-Adaptive Filtering in Storage Engines | 2022 | SIGMOD |