In this paper we address few variants of the well-known prefix-search problem in strings, and provide solutions for the cache-oblivious model which improve the best known results. In particular we close (asymptotically) the classic problem which asks for searching the set of strings sharing the longest common prefix with a queried pattern. Indeed, we provide an I/O-optimal solution matching the space lower bound for tries up to a constant multiplicative factor $(1+epsilon)$, for $epsilon>0$. Our solutions hinge upon few technicalities and, more interestingly, on a novel compressed storage scheme which adds to the elegant Locality Preserving Front-Coding (Bender {em et al.} 2006) the ability to decompress prefixes of the stored strings I/O-optimally still preserving its space bounds.

Compressed cache-oblivious string B-tree

Venturini R
2013

Abstract

In this paper we address few variants of the well-known prefix-search problem in strings, and provide solutions for the cache-oblivious model which improve the best known results. In particular we close (asymptotically) the classic problem which asks for searching the set of strings sharing the longest common prefix with a queried pattern. Indeed, we provide an I/O-optimal solution matching the space lower bound for tries up to a constant multiplicative factor $(1+epsilon)$, for $epsilon>0$. Our solutions hinge upon few technicalities and, more interestingly, on a novel compressed storage scheme which adds to the elegant Locality Preserving Front-Coding (Bender {em et al.} 2006) the ability to decompress prefixes of the stored strings I/O-optimally still preserving its space bounds.
2013
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-3-642-40449-8
Indexing
H.3 INFORMATION STORAGE AND RETRIEVAL
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/253216
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