A Bloom filter is a data type for storing sets. It can be considered as a data compression technique, but its more important feature is an extremely fast access to stored data. This is why it can be useful when calculation needs to be performed very quickly, for example, in an application to routing messages in a computer network. A well-known shortcoming of a Bloom filter are errors in the stored data. We present a way of labeling links in a computer network which prevents errors in Bloom filters in some routing scenarios and, therefore, results in a more efficient use of network resources
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...
Many network solutions and overlay networks utilize probabilistic techniques to reduce information p...
Bloom filter (BF) is a space-efficient data structure that represents a large set of items and suppo...
In this study it is introduced that the structure behind a random data structure called Bloom filter...
Bloom filters (BFs) provide a fast and efficient way to check whether a given element belongs to a s...
Bloom filter is a probabilistic data structure to filter a membership of a set. Bloom filter returns...
This thesis is considering Bloom lter data structure to be used in Internet routing. We will describ...
A Bloom filter is data structure for representing sets in a compressed form, which has many applicati...
Bloom filters are used in many computing and networking applications where they provide a simple met...
Bloom filters have been very interesting in networking because they enable the high speed, low cost ...
The Bloom Filter (BF), a space-and-time-efficient hashcoding method, is used as one of the fundament...
Where distributed agents must share voluminous set membership information, Bloom filters provide a c...
Where distributed agents must share voluminous set membership information, Bloom filters provide a c...
Abstract: Bloom filters are used for resource routing and distance-weighted Bloom filters (dwBFs) ar...
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...
Many network solutions and overlay networks utilize probabilistic techniques to reduce information p...
Bloom filter (BF) is a space-efficient data structure that represents a large set of items and suppo...
In this study it is introduced that the structure behind a random data structure called Bloom filter...
Bloom filters (BFs) provide a fast and efficient way to check whether a given element belongs to a s...
Bloom filter is a probabilistic data structure to filter a membership of a set. Bloom filter returns...
This thesis is considering Bloom lter data structure to be used in Internet routing. We will describ...
A Bloom filter is data structure for representing sets in a compressed form, which has many applicati...
Bloom filters are used in many computing and networking applications where they provide a simple met...
Bloom filters have been very interesting in networking because they enable the high speed, low cost ...
The Bloom Filter (BF), a space-and-time-efficient hashcoding method, is used as one of the fundament...
Where distributed agents must share voluminous set membership information, Bloom filters provide a c...
Where distributed agents must share voluminous set membership information, Bloom filters provide a c...
Abstract: Bloom filters are used for resource routing and distance-weighted Bloom filters (dwBFs) ar...
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...
Many network solutions and overlay networks utilize probabilistic techniques to reduce information p...