Title :
A wear-leveling algorithm based on IO request prediction
Author :
Dan Ma ; Wang Yueqing ; Yang Yan
Author_Institution :
Coll. of Comput. Sci. &Inf., Guizhou Univ., Guiyang, China
Abstract :
According to mass storage management in the context of flash memory, wear-leveling technology has been a popular research of great significance for mass data on flash memory medium impact the stability of flash memory. This paper first presents hardware characteristics of flash memory and algorithms related to wear leveling, and then analyzes the merits and demerits of dual pool algorithm upon which improvements are made. The experiments show consuming more memory will make flash memory greatly improve the effectiveness of Garbage collection.
Keywords :
flash memories; storage management; IO request prediction; dual pool algorithm; flash memory medium impact; flash memory stability; garbage collection; hardware characteristics; mass data; mass storage management; wear-leveling algorithm; wear-leveling technology; Algorithm design and analysis; Approximation algorithms; Complexity theory; Data structures; Flash memory; Memory management; Prediction algorithms; Flash-memory; Garbage collection; Wear Leveling; massive data;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0914-1
DOI :
10.1109/ICSSEM.2012.6340866
