Making In-Memory Learned Indexes Efficient on Disk
Summary: Shows how to adapt in-memory learned indexes to disk via six generic transformations/optimizations tailored to storage behavior. The resulting indexes Pareto-dominate B+trees and prior disk learned indexes in throughput and space efficiency. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiaoyi Zhang (Tsinghua University)
- 2. Kai Su (Tsinghua University)
- 3. Huanchen Zhang (Shanghai Qi Zhi Institute; Tsinghua University)
BibTeX Citation
@inproceedings{zhang_sigmod24,
title = {{Making In-Memory Learned Indexes Efficient on Disk}},
author = {Zhang, Jiaoyi and Su, Kai and Zhang, Huanchen},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654954},
url = {https://dl.acm.org/doi/10.1145/3654954},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,249 | Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store | 2025 | SIGMOD | 5.4574671e-05 |
| 8,709 | Why Are Learned Indexes So Effective but Sometimes Ineffective? | 2025 | VLDB | 5.3789739e-05 |
| 9,599 | Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] | 2026 | SIGMOD | 5.2492748e-05 |
| 10,277 | On Self-Designing Learned Indexes | 2026 | SIGMOD | 5.093636e-05 |
| 10,461 | HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads | 2026 | SIGMOD | 5.093636e-05 |
| 10,682 | VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity | 2025 | SIGMOD | 5.093636e-05 |
| 10,829 | FB+-tree: A Memory-Optimized B+-tree with Latch-Free Update | 2025 | VLDB | 5.093636e-05 |
| 10,955 | DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees | 2025 | VLDB | 5.093636e-05 |
| 11,194 | Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality | 2024 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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