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» The Bloom paradox: When not to use a Bloom filter
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ESA
2006
Springer
106views Algorithms» more  ESA 2006»
13 years 11 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
ICPP
2006
IEEE
14 years 1 months ago
False Rate Analysis of Bloom Filter Replicas in Distributed Systems
Recently, Bloom filters have been widely used in distributed systems where they are replicated to process distributed queries. Bloom filter replicas become stale in a dynamic en...
Yifeng Zhu, Hong Jiang
INFOCOM
2006
IEEE
14 years 1 months ago
Theory and Network Applications of Dynamic Bloom Filters
Abstract— A bloom filter is a simple, space-efficient, randomized data structure for concisely representing a static data set, in order to support approximate membership querie...
Deke Guo, Jie Wu, Honghui Chen, Xueshan Luo
SODA
2004
ACM
137views Algorithms» more  SODA 2004»
13 years 8 months ago
The Bloomier filter: an efficient data structure for static support lookup tables
We introduce the Bloomier filter, a data structure for compactly encoding a function with static support in order to support approximate evaluation queries. Our construction gener...
Bernard Chazelle, Joe Kilian, Ronitt Rubinfeld, Ay...
DBISP2P
2003
Springer
100views Database» more  DBISP2P 2003»
14 years 17 days ago
Content-Based Overlay Networks for XML Peers Based on Multi-level Bloom Filters
Peer-to-peer systems are gaining popularity as a means to effectively share huge, massively distributed data collections. In this paper, we consider XML peers, that is, peers that ...
Georgia Koloniari, Yannis Petrakis, Evaggelia Pito...