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A wear-leveling algorithm based on IO request prediction

机译:一种基于IO请求预测的耐磨级算法

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摘要

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.
机译:根据闪存的背景下的大众存储管理,磨损调整技术一直是对闪存介质的质量数据具有重要意义的流行研究影响了闪存的稳定性。本文首先介绍了闪存的硬件特性和与磨损平整相关的算法,然后分析了双池算法的优点和缺点,在进行改进的改进。实验表明消耗更多内存将使闪存大大提高垃圾收集的有效性。

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