the Counting Bloom Filter (CBF) is useful for real time applications where the time and space efficiency is the main consideration in performing a set membership tests. The CBF estimates whether an element is present in a large array or not by allowing false positives and by not permitting false negatives. In this paper CBF architecture is analyzed and has been implemented. There are two approaches of CBF, SRAM based approach using up/down counters and the LCBF using up/down LFSR unit. In this paper the LCBF architecture discussed and analyzed. In the latest VLSI technology it is easy to fabricate memories that hold a few million bits of data and addresses. But in the recent embedded memory technologies rather than mapping of addresses of 5...
efficient hash-coding method, is used as one of the fundamen-tal modules in several network processi...
The fundamental structure of BFs has additionally been extended through the years. For instance, cou...
Bloom Filters are a technique to reduce the effects of conflicts/ interference in hash table-like st...
We study the energy, latency and area characteristics of two Counting Bloom Filter implementations u...
Bloom filters are efficient randomized data structures for membership queries on a set with a certai...
Bloom Filters are efficient randomized data structures for membership queries on a set with a certai...
networking device algorithms. They implement fast set represen-tations to support membership queries...
Abstract—Bloom Filters are efficient randomized data struc-tures for membership queries on a set wit...
Within packet processing systems, lengthy memory accesses greatly reduce performance. To overcome th...
International audienceBloom filters are space-efficient data structures for fast set membership quer...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Bloom filters are space-efficient randomized data structures for fast membership queries, allowing f...
A Bloom Filter is an efficient randomized data structure for membership queries on a set with a cert...
The Bloom Filter (BF), a space-and-time-efficient hashcoding method, is used as one of the fundament...
A Bloom filter is a compact data structure that supports membership queries on a set, allowing false...
efficient hash-coding method, is used as one of the fundamen-tal modules in several network processi...
The fundamental structure of BFs has additionally been extended through the years. For instance, cou...
Bloom Filters are a technique to reduce the effects of conflicts/ interference in hash table-like st...
We study the energy, latency and area characteristics of two Counting Bloom Filter implementations u...
Bloom filters are efficient randomized data structures for membership queries on a set with a certai...
Bloom Filters are efficient randomized data structures for membership queries on a set with a certai...
networking device algorithms. They implement fast set represen-tations to support membership queries...
Abstract—Bloom Filters are efficient randomized data struc-tures for membership queries on a set wit...
Within packet processing systems, lengthy memory accesses greatly reduce performance. To overcome th...
International audienceBloom filters are space-efficient data structures for fast set membership quer...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Bloom filters are space-efficient randomized data structures for fast membership queries, allowing f...
A Bloom Filter is an efficient randomized data structure for membership queries on a set with a cert...
The Bloom Filter (BF), a space-and-time-efficient hashcoding method, is used as one of the fundament...
A Bloom filter is a compact data structure that supports membership queries on a set, allowing false...
efficient hash-coding method, is used as one of the fundamen-tal modules in several network processi...
The fundamental structure of BFs has additionally been extended through the years. For instance, cou...
Bloom Filters are a technique to reduce the effects of conflicts/ interference in hash table-like st...