How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice
Summary: Vertiorizon adaptively blends vertical and horizontal LSM-tree growth to balance lookups, updates, and space. It generalizes Bentley–Saxe’s theory to optimize read-write costs, outperforming pure vertical designs and greatly reducing space compared with horizontal; RocksDB integration shows improved writes with ~6× less extra space. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dingheng Mo (Nanyang Technological University)
- 2. Siqiang Luo (Nanyang Technological University)
- 3. Stratos Idreos (Harvard University)
BibTeX Citation
@inproceedings{mo_sigmod25,
title = {{How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice}},
author = {Mo, Dingheng and Luo, Siqiang and Idreos, Stratos},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725310},
url = {https://dl.acm.org/doi/10.1145/3725310},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,811 | ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads | 2026 | VLDB | 5.3652966e-05 |
| 9,463 | Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding | 2026 | SIGMOD | 5.2634238e-05 |
| 10,616 | Terark-DS: A High-Performance and Storage-Efficient Key-Value Separation Storage Engine on Disaggregated Storage | 2026 | VLDB | 5.093636e-05 |
| 10,955 | DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
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| 1 | 3,005 | Constructing and Analyzing the LSM Compaction Design Space | 2021 | VLDB |
| 2 | 9,021 | Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space | 2024 | SIGMOD |
| 3 | 857 | SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data | 2017 | VLDB |
| 4 | 9,457 | Rethinking The Compaction Policies in LSM-trees | 2025 | SIGMOD |
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| 6 | 7,274 | LSM-Trees and B-Trees: The Best of Both Worlds | 2019 | SIGMOD |
| 7 | 11,908 | Splaying Log-Structured Merge-Trees | 2018 | SIGMOD |
| 8 | 9,465 | Are Joins over LSM-trees Ready? Take RocksDB as an Example | 2025 | VLDB |
| 9 | 5,229 | Dissecting, Designing, and Optimizing LSM-based Data Stores | 2022 | SIGMOD |
| 10 | 6,828 | Breaking Down Memory Walls in LSM-based Storage Systems | 2020 | SIGMOD |