The Bloomier filter: an efficient data structure for static support lookup tables

  • Authors:
  • Bernard Chazelle;Joe Kilian;Ronitt Rubinfeld;Ayellet Tal

  • Affiliations:
  • Princeton University;NEC Laboratories America;NEC Laboratories America;Technion and Princeton University

  • Venue:
  • SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
  • Year:
  • 2004

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Abstract

We introduce the Bloomier filter, a data structure for compactly encoding a function with static support in order to support approximate evaluation queries. Our construction generalizes the classical Bloom filter, an ingenious hashing scheme heavily used in networks and databases, whose main attribute---space efficiency---is achieved at the expense of a tiny false-positive rate. Whereas Bloom filters can handle only set membership queries, our Bloomier filters can deal with arbitrary functions. We give several designs varying in simplicity and optimality, and we provide lower bounds to prove the (near) optimality of our constructions.