Bloomier Filters: A Second Look

  • Authors:
  • Denis Charles;Kumar Chellapilla

  • Affiliations:
  • Microsoft Live Labs, One Microsoft Way, Redmond WA - 98052;Microsoft Live Labs, One Microsoft Way, Redmond WA - 98052

  • Venue:
  • ESA '08 Proceedings of the 16th annual European symposium on Algorithms
  • Year:
  • 2008

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Abstract

A Bloom filter is a space efficient structure for storing static sets, where the space efficiency is gained at the expense of a small probability of false-positives. A Bloomier filtergeneralizes a Bloom filter to compactly store a function with a static support. In this article we give a simple construction of a Bloomier filter. The construction is linear in space and requires constant time to evaluate. The creation of our Bloomier filter takes linear time which is faster than the existing construction. We show how one can improve the space utilization further at the cost of increasing the time for creating the data structure.