NDLI: Rank-indexed hashing: A compact construction of Bloom filters and variants

Content Provider	IEEE Xplore Digital Library
Author	Nan Hua Haiquan Zhao Lin, B. Jun Xu
Copyright Year	2008
Description	Author affiliation: Dept. of ECE, UCSD, La Jolla, CA (Lin, B.) \|\| Sch. of Comput. Sci., Georgia Tech, Atlanta, GA (Nan Hua; Haiquan Zhao; Jun Xu)
Abstract	Bloom filter and its variants have found widespread use in many networking applications. For these applications, minimizing storage cost is paramount as these filters often need to be implemented using scarce and costly (on-chip) SRAM. Besides supporting membership queries, Bloom filters have been generalized to support deletions and the encoding of information. Although a standard Bloom filter construction has proven to be extremely space-efficient, it is unnecessarily costly when generalized. Alternative constructions based on storing fingerprints in hash tables have been proposed that offer the same functionality as some Bloom filter variants, but using less space. In this paper, we propose a new fingerprint hash table construction called Rank-Indexed Hashing that can achieve very compact representations. A rank-indexed hashing construction that offers the same functionality as a counting Bloom filter can be achieved with a factor of three or more in space savings even for a false positive probability of just 1%. Even for a basic Bloom filter function that only supports membership queries, a rank-indexed hashing construction requires less space for a false positive probability as high as 0.1%, which is significant since a standard Bloom filter construction is widely regarded as extremely space-efficient for approximate membership problems.
Starting Page	73
Ending Page	82
File Size	217057
Page Count	10
File Format	PDF
ISBN	9781424425068
ISSN	10921648
DOI	10.1109/ICNP.2008.4697026
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information filtering Information filters Encoding Fingerprint recognition Computer science Application software Costs Counting circuits Random access memory Data structures
Content Type	Text
Resource Type	Article

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