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HFTL: hybrid flash translation layer based on hot data identification for flash memory

机译:HFTL:基于热数据识别的混合闪存转换层,用于闪存

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For the last years, a number of Flash Translation Layers (FTL) have been proposed for hiding erase-before-write architecture of NAND flash memory. However, although many conventional FTLs efficiently provide the logical to physical address remapping algorithms, they could not escape from the performance degradation when handling the hot data which tends to generate so many overwrites on the same logical address. In this paper, we propose a novel FTL algorithm called Hybrid Flash Translation Layer (HFTL) that adaptively exploits the sector mapping and log block based mapping schemes. To do so, HFTL first separates the hot data from the cold data by using the hot data identifier. And then it dynamically manages the former by using the sector mapping scheme showing an optimal performance for intensive overwrites at the same location, and the latter by using the log block based mapping scheme. By using this adaptive hybrid method, HFTL is always guaranteed to yield good performance for the pattern with the hot data as well as the pattern without it. Through a series of experiments, we show that HFTL yields better performance than conventional FTLs1.
机译:在过去的几年中,已经提出了许多闪存转换层(FTL)来隐藏NAND闪存的写前擦除架构。但是,尽管许多传统的FTL有效地提供了逻辑到物理地址的重新映射算法,但是当处理热数据时,它们无法逃脱性能下降,而热数据往往会在同一逻辑地址上产生大量的覆盖。在本文中,我们提出了一种新颖的FTL算法,称为混合闪存转换层(HFTL),该算法可自适应地利用扇区映射和基于日志块的映射方案。为此,HFTL首先使用热数据标识符将热数据与冷数据分离。然后,它通过使用扇区映射方案动态管理前者,扇区映射方案显示了在同一位置进行密集覆盖的最佳性能,而后者则使用基于日志块的映射方案。通过使用这种自适应混合方法,始终可以确保HFTL对具有热数据的图案以及没有热数据的图案都具有良好的性能。通过一系列实验,我们显示HFTL比常规FTLs具有更好的性能。

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