Matthew A Grayson
Journal of Complexity
A Bloom filter is a simple space-efficient randomized data structure for representing a set in order to support membership queries. Bloom filters allow false positives but the space savings often outweigh this drawback when the probability of an error is controlled. Bloom filters have been used in database applications since the 1970s, but only in recent years have they become popular in the networking literature. The aim of this paper is to survey the ways in which Bloom filters have been used and modified in a variety of network problems, with the aim of providing a unified mathematical and practical framework for understanding them and stimulating their use in future applications. © A K Peters, Ltd.
Matthew A Grayson
Journal of Complexity
Imran Nasim, Michael E. Henderson
Mathematics
Hans Becker, Frank Schmidt, et al.
Photomask and Next-Generation Lithography Mask Technology 2004
Naga Ayachitula, Melissa Buco, et al.
SCC 2007