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Dynamic Flat Filter: A Unified Framework for Scalable and Stable Fingerprint-Based Filters

Summary: DFF decouples resizing from fingerprint-filter logic using flat independent segments and O(1) lookup, enabling incremental growth without probing chains or global stalls. Fingerprint growth stabilizes FPR; Cuckoo/Quotient integrations improve throughput and tail latency. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7416
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,225 | 29.85%
DOI
10.1145/3802043

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Authors

BibTeX Citation

@inproceedings{du_sigmod26,
        title = {{Dynamic Flat Filter: A Unified Framework for Scalable and Stable Fingerprint-Based Filters}},
        author = {Du, Yang and Ji, Shankui and Huang, He and Sun, Yu-E and Gao, Ge and Gao, Guoju},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802043},
        url = {https://dl.acm.org/doi/10.1145/3802043},
        year = {2026}
}

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