Retouched Bloom Filters: Allowing Networked Applications to Flexibly Trade Off False Positives Against False Negatives

dc.creatorDonnet, Benoit
dc.creatorBaynat, Bruno
dc.creatorFriedman, Timur
dc.date2006-07-09
dc.date2006-12-01
dc.date.accessioned2026-07-07T07:16:17Z
dc.date.available2026-07-07T07:16:17Z
dc.descriptionWhere distributed agents must share voluminous set membership information, Bloom filters provide a compact, though lossy, way for them to do so. Numerous recent networking papers have examined the trade-offs between the bandwidth consumed by the transmission of Bloom filters, and the error rate, which takes the form of false positives, and which rises the more the filters are compressed. In this paper, we introduce the retouched Bloom filter (RBF), an extension that makes the Bloom filter more flexible by permitting the removal of selected false positives at the expense of generating random false negatives. We analytically show that RBFs created through a random process maintain an overall error rate, expressed as a combination of the false positive rate and the false negative rate, that is equal to the false positive rate of the corresponding Bloom filters. We further provide some simple heuristics and improved algorithms that decrease the false positive rate more than than the corresponding increase in the false negative rate, when creating RBFs. Finally, we demonstrate the advantages of an RBF over a Bloom filter in a distributed network topology measurement application, where information about large stop sets must be shared among route tracing monitors.
dc.descriptionThis is a new version of the technical reports with improved algorithms and theorical analysis of algorithms
dc.identifierhttps://arxiv.org/abs/cs/0607038
dc.identifierhttp://arxiv.org/abs/cs/0607038
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/113538
dc.subjectNetworking and Internet Architecture
dc.titleRetouched Bloom Filters: Allowing Networked Applications to Flexibly Trade Off False Positives Against False Negatives
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