A Space-Grained Cleaning Method to Reduce Long-Tail Latency of DM-SMR Disks

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Chin-Hsien Wu, Cheng-Tze Lee, Yi-Ren Tsai, Cheng-Yen Wu
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引用次数: 0

Abstract

DM-SMR (device-managed shingled magnetic recording) disks allocate a portion of disk space as the persistent cache (PC) to address the issue of overlapping tracks during data updates. When the PC space becomes insufficient, a space cleaning is triggered to reclaim its invalid space. However, the space cleaning is time-consuming and contributes to the long-tail latency of DM-SMR disks. In the paper, we will propose a space-grained cleaning method that leverages various idle periods to effectively reduce the long-tail latency of DM-SMR disks. The objective is to perform a proper space-grained cleaning for a suitable space region at an appropriate time period, thereby preventing delays in subsequent I/O requests and reducing the long-tail latency associated with DM-SMR disks. The experimental results demonstrate a substantial reduction in the long-tail latency of DM-SMR disks through the proposed method.

降低 DM-SMR 磁盘长尾延迟的空间粒度清洁方法
DM-SMR(设备管理磁记录)磁盘分配了一部分磁盘空间作为持久缓存(PC),以解决数据更新时磁道重叠的问题。当 PC 空间不足时,会触发空间清理以回收无效空间。然而,空间清理非常耗时,而且会导致 DM-SMR 磁盘的长尾延迟。在本文中,我们将提出一种空间粒度清理方法,利用各种空闲时间有效减少 DM-SMR 磁盘的长尾延迟。其目的是在适当的时间段对适当的空间区域执行适当的空间粒度清理,从而防止后续 I/O 请求的延迟,减少与 DM-SMR 磁盘相关的长尾延迟。实验结果表明,通过所建议的方法,DM-SMR 磁盘的长尾延迟大幅减少。
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来源期刊
ACM Transactions on Embedded Computing Systems
ACM Transactions on Embedded Computing Systems 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
138
审稿时长
6 months
期刊介绍: The design of embedded computing systems, both the software and hardware, increasingly relies on sophisticated algorithms, analytical models, and methodologies. ACM Transactions on Embedded Computing Systems (TECS) aims to present the leading work relating to the analysis, design, behavior, and experience with embedded computing systems.
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