PBFilter: indexing flash-resident data through partitioned summaries

  • Authors:
  • Shaoyi Yin;Philippe Pucheral;Xiaofeng Meng

  • Affiliations:
  • INRIA, Le Chesnay and Univ. of Versailles, Versailles, France/ Renmin Univ. of China, Beijing, China;INRIA, Univ. of Versailles, Le Chesnay, France;Renmin University of China, Beijing, China

  • Venue:
  • Proceedings of the 17th ACM conference on Information and knowledge management
  • Year:
  • 2008

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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.