Detail View
Reparo: A Fast RAID Recovery Scheme for Ultra-large SSDs
WEB OF SCIENCE
SCOPUS
- Title
- Reparo: A Fast RAID Recovery Scheme for Ultra-large SSDs
- DGIST Authors
- Hong, Duwon ; Ha, Keonsoo ; Ko, Minseok ; Chun, Myoungjun ; Kim, Yoona ; Lee, Sungjin ; Kim, Jihong
- Issued Date
- 2021-08
- Citation
- Hong, Duwon. (2021-08). Reparo: A Fast RAID Recovery Scheme for Ultra-large SSDs. doi: 10.1145/3450977
- Type
- Article
- Author Keywords
- Die failure ; ultra-large SSD ; RAID ; storage system
- Keywords
- HIGH-PERFORMANCE
- ISSN
- 1553-3077
- Abstract
-
A recent ultra-large SSD (e.g., a 32-TB SSD) provides many benefits in building cost-efficient enterprise storage systems. Owing to its large capacity, however, when such SSDs fail in a RAID storage system, a long rebuild overhead is inevitable for RAID reconstruction that requires a huge amount of data copies among SSDs. Motivated by modern SSD failure characteristics, we propose a new recovery scheme, called reparo, for a RAID storage system with ultra-large SSDs. Unlike existing RAID recovery schemes, reparo repairs a failed SSD at the NAND die granularity without replacing it with a new SSD, thus avoiding most of the inter-SSD data copies during a RAID recovery step. When a NAND die of an SSD fails, reparo exploits a multi-core processor of the SSD controller in identifying failed LBAs from the failed NAND die and recovering data from the failed LBAs. Furthermore, reparo ensures no negative post-recovery impact on the performance and lifetime of the repaired SSD. Experimental results using 32-TB enterprise SSDs show that reparo can recover from a NAND die failure about 57 times faster than the existing rebuild method while little degradation on the SSD performance and lifetime is observed after recovery. © 2021 Association for Computing Machinery.
더보기
- DOI
- 10.1145/3450977
- Publisher
- Association for Computing Machinary, Inc.
File Downloads
- There are no files associated with this item.
공유
Related Researcher
- Lee, Sungjin이성진
-
Department of Electrical Engineering and Computer Science
Total Views & Downloads
???jsp.display-item.statistics.view???: , ???jsp.display-item.statistics.download???:
