Impact of Storage Technology on Cluster-Based High-Dimensional Indexing

Gylfi Þór Guðmundsson 1 Laurent Amsaleg 1 Björn Þór Jónsson 2
1 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : The scale of multimedia data collections is expanding at a very fast rate. In order to cope with this growth, the high-dimensional indexing methods used for content-based multimedia retrieval must adapt gracefully to secondary storage. Recent progress in storage technology, however, means that algorithm designers must now cope with a spectrum of secondary storage solutions, ranging from traditional magnetic hard drives to state-of-the-art solid state disks. This paper studies the impact of storage technology on a simple, prototypical high-dimensional indexing method for large scale query processing. We show that while the algorithm implementation deeply impacts the performance of the indexing method, the setup of the underlying storage technology is equally important.
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[Research Report] RR-7681, INRIA. 2011
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Dernière modification le : vendredi 16 novembre 2018 - 01:31:00
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  • HAL Id : inria-00610446, version 1

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Gylfi Þór Guðmundsson, Laurent Amsaleg, Björn Þór Jónsson. Impact of Storage Technology on Cluster-Based High-Dimensional Indexing. [Research Report] RR-7681, INRIA. 2011. 〈inria-00610446〉

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