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Author Belazzougui, Djamal ♦ Boldi, Paolo ♦ Pagh, Rasmus ♦ Vigna, Sebastiano
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data
Subject Keyword Monotone minimal perfect hashing ♦ Succinct data structures ♦ Very large databases
Abstract Minimal perfect hash functions have been shown to be useful to compress data in several data management tasks. In particular, order-preserving minimal perfect hash functions (Fox et al. 1991) have been used to retrieve the position of a key in a given list of keys; however, the ability to preserve any given order leads to an unavoidable $Ω(\textit{n}$ log $\textit{n})$ lower bound on the number of bits required to store the function. Recently, it was observed (Belazzougui et al. 2009) that very frequently the keys to be hashed are sorted in their intrinsic (i.e., lexicographical) order. This is typically the case of dictionaries of search engines, list of URLs of Web graphs, and so on. We refer to this restricted version of the problem as monotone minimal perfect hashing. We analyze experimentally the data structures proposed in Belazzougui et al. [2009], and along our way we propose some new methods that, albeit asymptotically equivalent or worse, perform very well in practice and provide a balance between access speed, ease of construction, and space usage.
ISSN 10846654
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-11-01
Publisher Place New York
e-ISSN 10846654
Journal Journal of Experimental Algorithmics (JEA)
Volume Number 16
Page Count 26
Starting Page 3.1
Ending Page 3.26

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Source: ACM Digital Library