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HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads
Summary: HIRE: hybrid learned in-memory index targeting robust mixed-workload performance, combining adaptive leaf nodes, model-accelerated internal nodes, and non-blocking recalibration to retain stability under updates. Aims to fix learned-index pain points—tail latency, range queries, and workload sensitivity—while outperforming classic indexes on throughput.
(summarized by gpt-5-mini on Apr 11 2026)
- Paper ID
- 7484
- Venue
- SIGMOD
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,172 | 29.31%
- DOI
-
10.1145/3786657
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Incoming Citations (Sorted by Pagerank)
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| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
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.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 101 |
The Case for Learned Index Structures |
2018 |
SIGMOD |
0.00049778866 |
| 819 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00016237497 |
| 844 |
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds |
2020 |
VLDB |
0.00015964123 |
| 1,365 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
0.00012379754 |
| 1,438 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00011965956 |
| 2,550 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
8.5569576e-05 |
| 3,136 |
FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems |
2022 |
VLDB |
7.4926368e-05 |
| 3,945 |
APEX: A High-Performance Learned Index on Persistent Memory |
2022 |
VLDB |
6.605467e-05 |
| 4,056 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
6.4905689e-05 |
| 4,830 |
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm |
2022 |
VLDB |
5.8884997e-05 |
| 5,072 |
Learned Index: A Comprehensive Experimental Evaluation |
2023 |
VLDB |
5.7121108e-05 |
| 5,327 |
DILI: A Distribution-Driven Learned Index |
2023 |
VLDB |
5.5660777e-05 |
| 6,971 |
Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses |
2024 |
SIGMOD |
4.8738633e-05 |
| 7,389 |
Making In-Memory Learned Indexes Efficient on Disk |
2024 |
SIGMOD |
4.7386163e-05 |
| 7,870 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models |
2023 |
SIGMOD |
4.6271153e-05 |
| 7,894 |
LITS: An Optimized Learned Index for Strings |
2024 |
VLDB |
4.6196003e-05 |
| 8,100 |
Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction |
2024 |
SIGMOD |
4.5821762e-05 |
| 8,624 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
4.4786127e-05 |
| 8,811 |
Tuning Hierarchical Learned Indexes on Disk and Beyond |
2022 |
SIGMOD |
4.4398976e-05 |
| 9,093 |
AirIndex: Versatile Index Tuning Through Data and Storage |
2023 |
SIGMOD |
4.3932886e-05 |
| 9,351 |
Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs |
2024 |
SIGMOD |
4.3490308e-05 |
| 9,618 |
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach |
2025 |
SIGMOD |
4.3131993e-05 |
| 9,745 |
Why Are Learned Indexes So Effective but Sometimes Ineffective? |
2025 |
VLDB |
4.2856385e-05 |
| 10,952 |
SWIX: A Memory-efficient Sliding Window Learned Index |
2024 |
SIGMOD |
4.1905499e-05 |
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Benchmarking Learned Indexes |
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