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...
We consider the combination of two ideas from the hashing literature: the power of two choices and Bloom filters. Specifically, we show via simulations that, in comparison with a...
This paper presents an algorithm for exact pattern matching based on a new type of Bloom filter that we call a feed-forward Bloom filter. Besides filtering the input corpus, a ...
— Bloom filters are a well known data structure for approximate set membership. Bloom filters are space efficient but require many independent hashes and consecutive memory acces...
Abstract Bloom filters are extensively used in distributed applications, especially in distributed databases and distributed information systems, to reduce network requirements and...
Odysseas Papapetrou, Wolf Siberski, Wolfgang Nejdl