A Study of SSD Reliability in Large Scale Enterprise Storage Deployments

被引：0
|
作者：
Maneas, Stathis [1 ]
Mahdaviani, Kaveh [1 ]
Emami, Tim [2 ]
Schroeder, Bianca [1 ]
机构：
[1] Univ Toronto, Toronto, ON, Canada
[2] NetApp, Sunnyvale, CA USA
来源：
PROCEEDINGS OF THE 18TH USENIX CONFERENCE ON FILE AND STORAGE TECHNOLOGIES | 2020年
关键词：
NAND FLASH MEMORY; RETENTION; OPTIMIZATION; MODEL;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents the first large-scale field study of NAND-based SSDs in enterprise storage systems (in contrast to drives in distributed data center storage systems). The study is based on a very comprehensive set of field data, covering 1.4 million SSDs of a major storage vendor (NetApp). The drives comprise three different manufacturers, 18 different models, 12 different capacities, and all major flash technologies (SLC, cMLC, eMLC, 3D-TLC). The data allows us to study a large number of factors that were not studied in previous works, including the effect of firmware versions, the reliability of TLC NAND, and correlations between drives within a RAID system. This paper presents our analysis, along with a number of practical implications derived from it.
引用
下载
收藏
页码：137 / 149
页数：13
相关论文
共 50 条
  • [1] Reliability of SSDs in Enterprise Storage Systems: A Large-Scale Field Study
    Maneas, Stathis
    Mahdaviani, Kaveh
    Emami, Tim
    Schroeder, Bianca
    ACM TRANSACTIONS ON STORAGE, 2021, 17 (01)
  • [2] Understanding SSD Reliability in Large-Scale Cloud Systems
    Xu, Erci
    Zheng, Mai
    Qin, Feng
    Wu, Jiesheng
    Xu, Yikang
    PROCEEDINGS OF 2018 IEEE/ACM 3RD JOINT INTERNATIONAL WORKSHOP ON PARALLEL DATA STORAGE & DATA INTENSIVE SCALABLE COMPUTING SYSTEMS (PDSW-DISCS), 2018, : 45 - 53
  • [3] Evaluating Reliability of SSD-Based I/O Caches in Enterprise Storage Systems
    Ahmadian, Saba
    Taheri, Farhad
    Asadi, Hossein
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2021, 9 (04) : 1914 - 1929
  • [4] Justifying SSD Storage in Enterprise Cloud Environments
    Zhuang, Zhenyun
    Zhuk, Sergiy
    Ramachandra, Haricharan
    Sridharan, Badri
    2016 FOURTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD 2016), 2016, : 1 - 6
  • [5] Reliability Design for Large Scale Storage Systems
    Du, Kai
    Wang, Huaimin
    Yang, Shuqiang
    Chen, Yingwen
    Wen, Yan
    11TH IEEE HIGH ASSURANCE SYSTEMS ENGINEERING SYMPOSIUM, PROCEEDINGS, 2008, : 463 - 466
  • [6] A Large-Scale Study on the Security Vulnerabilities of Cloud Deployments
    Iosif, Andrei-Cristian
    Gasiba, Tiago Espinha
    Zhao, Tiange
    Lechner, Ulrike
    Pinto-Albuquerque, Maria
    UBIQUITOUS SECURITY, 2022, 1557 : 171 - 188
  • [7] Operational Characteristics of SSDs in Enterprise Storage Systems: A Large-Scale Field Study
    Maneas, Stathis
    Mandaviani, Kaveh
    Emami, Tim
    Schroeder, Bianca
    PROCEEDINGS OF THE 20TH USENIX CONFERENCE ON FILE AND STORAGE TECHNOLOGIES, FAST 2022, 2022, : 165 - 180
  • [8] HDStore: An SSD/HDD Hybrid Distributed Storage Scheme for Large-Scale Data
    Feng, Zhijie
    Feng, Zhiyong
    Wang, Xin
    Rao, Guozheng
    Wei, Yazhou
    Li, Zhiyuan
    WEB-AGE INFORMATION MANAGEMENT: WAIM 2014 INTERNATIONAL WORKSHOPS, 2014, 8597 : 209 - 220
  • [9] RM-SSD: In-Storage Computing for Large-Scale Recommendation Inference
    Sun, Xuan
    Wan, Hu
    Li, Qiao
    Yang, Chia-Lin
    Kuo, Tei-Wei
    Xue, Chun Jason
    2022 IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE (HPCA 2022), 2022, : 1056 - 1070
  • [10] SEFEE: Lightweight Storage Error Forecasting in Large-Scale Enterprise Storage Systems
    Yazdi, Amirhessam
    Lin, Xing
    Yang, Lei
    Yan, Feng
    PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20), 2020,
12345