Tiler: An Autonomous Region-Based Scheme for SMR Storage

被引:4
|
作者
Ma, Chenlin [1 ]
Shen, Zhaoyan [2 ]
Wang, Jihe [3 ]
Wang, Yi [4 ]
Chen, Renhai [5 ]
Guan, Yong [6 ]
Shao, Zili [7 ]
机构
[1] Shenzhen Technol Univ, Coll Big Data & Internet, Shenzhen 518055, Guangdong, Peoples R China
[2] Shandong Univ, Sch Comp Sci & Technol, Jinan 250100, Shandong, Peoples R China
[3] Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China
[4] Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen 518060, Guangdong, Peoples R China
[5] Tianjin Univ, Shenzhen Res Inst, Coll Intelligence & Comp, Tianjin, Peoples R China
[6] Capital Normal Univ, Coll Comp & Informat Management, Beijing 100089, Peoples R China
[7] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Shingled magnetic recording; cache management; garbage collection;
D O I
10.1109/TC.2020.2988004
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Shingled Magnetic Recording (SMR) Disks are adopted as a high-density, non-volatile media that significantly precedes conventional disks in both the storage capacity and cost. However, inefficient read-modify-writes (RMWs) greatly challenge the management of SMR disks. This article for the first time presents an approach called Tiler to manage SMR disks by dividing the physical space into small autonomous regions (ARs). Each AR can manage its space allocation, address mapping, and cleaning independently. By managing these ARs in a log-structured way, RMWs can be avoided; besides, ARs can also help update data when the adjacent tracks contain no valid data. Tiler is capable of partitioning a large-scale cleaning into self-contained-small-scale cleaning and thus, the data that need to be relocated are limited inside independent ARs, which further minimizes the performance overhead. Our experimental results show that Tiler can shorten the overall system response time by 50.21 percent and reduce the cleaning time by 90.24 percent on average.
引用
收藏
页码:291 / 304
页数:14
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