一种用于固态硬盘闪存转换层的低成本自适应数据分离方法

Wei Xie, Yong Chen, P. Roth
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引用次数: 1

摘要

与传统硬盘驱动器相比,固态驱动器(ssd)具有更高的吞吐量和更低的能耗,因此在数据密集型计算方面显示出巨大的潜力。在SSD中,其闪存转换层(FTL)负责将SSD的闪存存储作为一个简单的块设备暴露给计算机系统。超光速设计是决定SSD寿命和性能下降程度的主要因素之一。为了提供更好的性能,我们提出了一种新的、低成本的、自适应分离感知的闪存转换层(ASA-FTL),它结合了数据集群和选择性缓存最近的信息,以准确地识别和分离热/冷数据,同时产生最小的开销。通过对真实工作负载的ASA-FTL进行模拟,我们已经证明,与现有最先进的ftl之一相比,我们提出的方法将垃圾收集开销减少了28%,总响应时间减少了15%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A low-cost adaptive data separation method for the flash translation layer of solid state drives
Solid state drives (SSDs) have shown great potential for data-intensive computing due to their much higher throughput and lower energy consumption compared to traditional hard disk drives. Within an SSD, its Flash Translation Layer (FTL) is responsible for exposing the SSD's flash memory storage to the computer system as a simple block device. The FTL design is one of the dominant factors determining an SSD's lifespan and the amount of performance degradation. To deliver better performance, we propose a new, low-cost, adaptive separation-aware flash translation layer (ASA-FTL) that combines data clustering and selective caching of recency information to accurately identify and separate hot/cold data while incurring minimal overhead. Using simulations of ASA-FTL with real-world workloads, we have shown that our proposed approach reduces the garbage collection overhead by up to 28% and the overall response time by 15% compared to one of the most advanced existing FTLs.
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