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PBFilter: indexing flash-resident data through partitioned summaries
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Conference on Information and Knowledge Management archive
Proceeding of the 17th ACM conference on Information and knowledge management table of contents
Napa Valley, California, USA
POSTER SESSION: Poster session 1 database table of contents
Pages 1333-1334  
Year of Publication: 2008
ISBN:978-1-59593-991-3
Authors
Shaoyi Yin  INRIA, Le Chesnay and Univ. of Versailles, Versailles, France; Renmin Univ. of China, Beijing, China
Philippe Pucheral  INRIA, Univ. of Versailles, Le Chesnay, France
Xiaofeng Meng  Renmin University of China, Beijing, China
Sponsors
ACM: Association for Computing Machinery
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Bityutskiy, A.-B., JFFS3 Design Issues. Tech. report, Nov. 2005.
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Wu, C., Chang, L., and Kuo, T. An Efficient B-Tree Layer for Flash-Memory Storage Systems. Int. Conf. on Real-Time and Embedded Computing Systems and Applications (RTCSA), 2003.
 
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Yin, S., Pucheral, P., Meng X. PBFilter: Indexing Flash-Resident Data through Partitioned Summaries. Tech. Rep. RR-6548. INRIA. 2008.

Collaborative Colleagues:
Shaoyi Yin: colleagues
Philippe Pucheral: colleagues
Xiaofeng Meng: colleagues