An improved construction for counting bloom filters

  • Authors:
  • Flavio Bonomi;Michael Mitzenmacher;Rina Panigrahy;Sushil Singh;George Varghese

  • Affiliations:
  • Cisco Systems Inc.;Harvard University;Stanford University;Cisco Systems Inc.;Cisco Systems Inc.

  • Venue:
  • ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
  • Year:
  • 2006

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Abstract

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 with a Bloom filter, a CBF obtains space savings by allowing false positives. We provide a simple hashing-based alternative based on d-left hashing called a d-left CBF (dlCBF). The dlCBF offers the same functionality as a CBF, but uses less space, generally saving a factor of two or more. We describe the construction of dlCBFs, provide an analysis, and demonstrate their effectiveness experimentally.