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PBFilter: Indexing flash-resident data through par¬titioned summaries

Shaoyi Yin 1, 2 Philippe Pucheral 1, 2 Xiaofeng Meng 1 
1 SMIS - Secured and Mobile Information Systems
PRISM - Parallélisme, Réseaux, Systèmes, Modélisation, UVSQ - Université de Versailles Saint-Quentin-en-Yvelines, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8144
2 PRISM - Parallélisme, Réseaux, Systèmes, Modélisation
Abstract : NAND Flash has become the most popular persistent data storage medium for mobile and embedded devices. The hardware characteristics of NAND Flash (e.g. page granularity for read/write with a block-erase-before-rewrite constraint, limited number of erase cycles) preclude in-place updates. In this paper, we propose a new indexing scheme, called PBFilter, designed from the outset to exploit the peculiarities of NAND Flash.
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Submitted on : Monday, November 24, 2008 - 3:33:14 PM
Last modification on : Wednesday, April 6, 2022 - 3:48:21 PM
Long-term archiving on: : Monday, June 7, 2010 - 9:51:40 PM

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Shaoyi Yin, Philippe Pucheral, Xiaofeng Meng. PBFilter: Indexing flash-resident data through par¬titioned summaries. 17th ACM International Conference on Information and Knowledge Management (ACM CIKM), Oct 2008, Napa Valley, United States. ⟨inria-00340715⟩

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