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GLOBECOM
2008
IEEE
13 years 10 months ago
A Memory-Optimized Bloom Filter Using an Additional Hashing Function
— A Bloom filter is a simple space-efficient randomized data structure for the representation set of items in order to support membership queries. In recent years, Bloom filte...
Mahmood Ahmadi, Stephan Wong
ESA
2006
Springer
106views Algorithms» more  ESA 2006»
13 years 8 months ago
Less Hashing, Same Performance: Building a Better Bloom Filter
A standard technique from the hashing literature is to use two hash functions h1(x) and h2(x) to simulate additional hash functions of the form gi(x) = h1(x) + ih2(x). We demonstra...
Adam Kirsch, Michael Mitzenmacher
INFOCOM
2012
IEEE
11 years 6 months ago
The Bloom paradox: When not to use a Bloom filter?
—In this paper, we uncover the Bloom paradox in Bloom filters: sometimes, it is better to disregard the query results of Bloom filters, and in fact not to even query them, thus...
Ori Rottenstreich, Isaac Keslassy
FMCAD
2004
Springer
13 years 8 months ago
Bloom Filters in Probabilistic Verification
Abstract. Probabilistic techniques for verification of finite-state transition systems offer huge memory savings over deterministic techniques. The two leading probabilistic scheme...
Peter C. Dillinger, Panagiotis Manolios
ESA
2006
Springer
134views Algorithms» more  ESA 2006»
13 years 8 months ago
An Improved Construction for Counting Bloom Filters
A counting Bloom filter (CBF) generalizes a Bloom filter data structure so as to allow membership queries on a set that can be changing dynamically via insertions and deletions. As...
Flavio Bonomi, Michael Mitzenmacher, Rina Panigrah...