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Proteus: A Self-Designing Range Filter

Summary: Self-designing approximate range filter Proteus tunes itself from samples to minimize FPR under a fixed space. CPFPR unifies probabilistic and deterministic design spaces; in RocksDB it yields up to 5.3x end-to-end gains over SuRF/Rosetta with low modeling cost and robust workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h54a15c2b3e749940
Venue
SIGMOD
Year
2022
Pagerank
6.7417716e-05
Overall Rank
4,197 | 71.79%
DOI
10.1145/3514221.3526167

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{knorr_sigmod22,
        title = {{Proteus: A Self-Designing Range Filter}},
        author = {Knorr, Eric R. and Lemaire, Baptiste and Lim, Andrew and Luo, Siqiang and Zhang, Huanchen and Idreos, Stratos and Mitzenmacher, Michael},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526167},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526167},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank Citing Paper Year Venue Pagerank
4,750 GRF: A Global Range Filter for LSM-Trees with Shape Encoding 2024 SIGMOD 6.4354422e-05
4,875 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 6.3724016e-05
4,947 Grafite: Taming Adversarial Queries with Optimal Range Filters 2024 SIGMOD 6.3426055e-05
5,081 InfiniFilter: Expanding Filters to Infinity and Beyond 2023 SIGMOD 6.2854372e-05
6,124 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 5.8788211e-05
6,547 Memento Filter: A Fast, Dynamic, and Robust Range Filter 2024 SIGMOD 5.7509499e-05
7,905 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 5.4291824e-05
7,940 Aleph Filter: To Infinity in Constant Time 2024 VLDB 5.4219572e-05
7,977 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.4142519e-05
8,132 Diva: Dynamic Range Filter for Var-Length Keys and Queries 2025 VLDB 5.3931086e-05
8,221 ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads 2026 VLDB 5.3759492e-05
8,329 How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice 2025 SIGMOD 5.3536854e-05
9,130 Rethinking The Compaction Policies in LSM-trees 2025 SIGMOD 5.2233025e-05
9,181 Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space 2024 SIGMOD 5.2118872e-05
9,643 Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding 2026 SIGMOD 5.1453267e-05
9,646 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB 5.1453267e-05
9,710 Disco: A Compact Index for LSM-trees 2025 SIGMOD 5.1371878e-05
10,029 LavaStore: ByteDance's Purpose-built, High-performance, Cost-effective Local Storage Engine for Cloud Services 2024 VLDB 5.0925155e-05
10,355 A Multi-tenant Relational OLTP Database at Salesforce 2026 CIDR 4.9793485e-05
10,615 Aeris Filter: A Strongly and Monotonically Adaptive Range Filter 2026 SIGMOD 4.9793485e-05
10,652 Improving Range Scan Performance in LSM-trees with Group Caching 2026 SIGMOD 4.9793485e-05
11,737 A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams 2023 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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