| Document Date: 2009-12-11 14:34:10
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City Cities / / Company IPL / / Country United States / / / Facility We store / Engineering University of Minnesota / / IndustryTerm flash-based database systems / query processing overhead / flash-based storage device / update-intensive applications / query processing techniques / query processing / query processing* / update processing methodology / hierarchical update processing strategy / type applications / decision support systems / update processing problem / flash technology / post processing state / energy savings / in-place update processing / generic solution / update processing method / normal query processing techniques / less query processing / update processing time / sensor networks / comparable query processing / spatio-temporal applications / update processing order / wear leveling algorithms / updateintensive applications / update processing algorithm / update processing / online transaction processing / update processing performance / main data storage media / / OperatingSystem Linux / / Organization Computer Engineering Department of Computer Science / University of Minnesota / / Person David J. Lilja / Mohamed F. Mokbel / David Du / / Position flash driver / / ProvinceOrState Minnesota / Manitoba / / Technology Linux / disk drive / 1 Algorithm / 2 Algorithm / MP3 / DBMS / mobile devices / flash memory / update processing algorithm / NAND flash technology / existing algorithms / digital cameras / cell phones / Existing wear leveling algorithms / Flash / /
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Deferred Updates for Flash Based Storage Biplob Debnath # , Mohamed F. Mokbel ∗ , David J. Lilja # , David Du # ∗