Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding
Summary: Hourglass is an adaptive range filter that splits keys into semi-sorted cuckoo-filtered prefixes and hybrid-encoded suffixes to boost space efficiency and handle skew/adversarial queries. It adds fingerprint-updating adaptivity and correlation-aware space allocation, yielding 9.8–35.4× lower FPR. (summarized by gpt-5-mini on Feb 11 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Feifan Liu (Nanjing University)
- 2. Rong Gu (Nanjing University)
- 3. Meng Li (Nanjing University)
- 4. Haipeng Dai (Nanjing University)
- 5. Baohan Wang (China Mobile)
- 6. Jie Tao (China Mobile)
- 7. Dian Shen (Southeast University)
BibTeX Citation
@inproceedings{liu_sigmod26,
title = {{Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding}},
author = {Liu, Feifan and Gu, Rong and Li, Meng and Dai, Haipeng and Wang, Baohan and Tao, Jie and Shen, Dian},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3749169},
url = {https://dl.acm.org/doi/10.1145/3749169},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,441 | Dynamic Flat Filter: A Unified Framework for Scalable and Stable Fingerprint-Based Filters | 2026 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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