Optimizing Collections of Bloom Filters within a Space Budget
Summary: Optimizes space allocation across queried Bloom-filter collections: introduces truncated filters, a convex utility-weighted formulation, and a fast relaxation that improves false positives for data skipping and full-text search under strict budgets. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gabriel Mersy (University of Chicago)
- 2. Zhuo Wang (University of Chicago)
- 3. Stavros Sintos (University of Illinois Chicago)
- 4. Sanjay Krishnan (University of Chicago)
BibTeX Citation
@article{mersy_vldb24,
title = {{Optimizing Collections of Bloom Filters within a Space Budget}},
author = {Mersy, Gabriel and Wang, Zhuo and Sintos, Stavros and Krishnan, Sanjay},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3551--3564},
doi = {10.14778/3681954.3682020},
url = {https://doi.org/10.14778/3681954.3682020},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,475 | Mnemosyne: Dynamic Workload-Aware BF Tuning via Accurate Statistics in LSM trees | 2025 | SIGMOD | 5.4171036e-05 |
| 9,836 | Towards Functional Decomposition of Storage Formats | 2025 | CIDR | 5.2110542e-05 |
| 10,613 | CounterSnake: A lossless and generalized compression framework for diverse sketches | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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