poster

SSD Failures in Datacenters: What, When and Why?

Authors:

Di Wang,

Anand Sivasubramaniam,

Ben Cutler,

Jie Liu,

Badriddine Khessib,

Kushagra VaidAuthors Info & Claims

SIGMETRICS '16: Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science

Pages 407 - 408

https://doi.org/10.1145/2896377.2901489

Published: 14 June 2016 Publication History

Get Access

Abstract

Despite the growing popularity of Solid State Disks (SSDs) in the datacenter, little is known about their reliability characteristics in the field. The little knowledge is mainly vendor supplied, which cannot really help understand how SSD failures can manifest and impact production systems, in order to take appropriate actions. Besides failure data, a detailed characterization requires wide spectrum of data about factors influencing SSD failures, right from provisioning (what models' where and when deployed' etc.) to the operational ones (workloads, read-write intensities, write amplification, etc.). We analyze over half a million SSDs that span multiple generations spread across several datacenters which host a wide range of workloads over nearly 3 years. By studying the diverse set of factors on SSD failures, and their symptoms, our work provides the first look at the what, when and why characteristics of SSD failures in production datacenters.

References

[1]

D. G. Andersen and S. Swanson. Rethinking Flash in the Data Center. IEEE Micro, 2010.

Digital Library

Google Scholar

[2]

L. M. Grupp, A. M. Caulfield, J. Coburn, S. Swanson, E. Yaakobi, P. H. Siegel, and J. K. Wolf. Characterizing Flash Memory: Anomalies, Observations, and Applications. In MICRO, 2009.

Digital Library

Google Scholar

[3]

J. Meza, Q. Wu, S. Kumar, and O. Mutlu. A Large-Scale Study of Flash Memory Failures in the Field. In ACM SIGMETRICS, 2015.

Digital Library

Google Scholar

[4]

B. Schroeder, R. Lagisetty, and A. Merchant. Flash reliability in production: The expected and the unexpected. In USENIX FAST, 2016.

Digital Library

Google Scholar

Cited By

View all

Aguilera MBen-David NGuerraoui RMurat AXygkis AZablotchi IAamodt TJerger NSwift M(2023)uBFT: Microsecond-Scale BFT using Disaggregated MemoryProceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 210.1145/3575693.3575732(862-877)Online publication date: 27-Jan-2023
https://dl.acm.org/doi/10.1145/3575693.3575732
Bjørling MGonzález JBonnet PKuenning GWaldspurger C(2017)LightNVMProceedings of the 15th Usenix Conference on File and Storage Technologies10.5555/3129633.3129666(359-373)Online publication date: 27-Feb-2017
https://dl.acm.org/doi/10.5555/3129633.3129666
Ahn HKim JLee Y(2017)A Highly Reliable Storage Systems Based on SSD Array for IoE EnvironmentInternational Journal of Grid and High Performance Computing10.4018/IJGHPC.20171001019:4(1-15)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.4018/IJGHPC.2017100101
Show More Cited By

Index Terms

SSD Failures in Datacenters: What, When and Why?
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Reliability

Recommendations

SSD Failures in Datacenters: What? When? and Why?
SYSTOR '16: Proceedings of the 9th ACM International on Systems and Storage Conference

Despite the growing popularity of Solid State Disks (SSDs) in the datacenter, little is known about their reliability characteristics in the field. The little knowledge is mainly vendor supplied, and such information cannot really help understand how ...
SSD Failures in Datacenters: What, When and Why?
Performance evaluation review

Despite the growing popularity of Solid State Disks (SSDs) in the datacenter, little is known about their reliability characteristics in the field. The little knowledge is mainly vendor supplied, which cannot really help understand how SSD failures can ...
The Reliability of Modern File Systems in the face of SSD Errors
ATC 2019 Special Section and Regular Papers

As solid state drives (SSDs) are increasingly replacing hard disk drives, the reliability of storage systems depends on the failure modes of SSDs and the ability of the file system layered on top to handle these failure modes. While the classical paper ...

Comments

Information & Contributors

Information

Published In

SIGMETRICS '16: Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science

June 2016

434 pages

ISBN:9781450342667

DOI:10.1145/2896377

General Chairs:
Sara Alouf
Inria, France
,
Alain Jean-Marie
Inria, France
,
Program Chairs:
Nidhi Hegde
Bell Labs, France
,
Alexandre Proutière
KTH, Sweden

ACM SIGMETRICS Performance Evaluation Review Volume 44, Issue 1
Performance evaluation review
June 2016
409 pages
ISSN:0163-5999
DOI:10.1145/2964791
Editors:
Derek Eager
University of Saskatchewan
,
Carey Williamson
University of Calgary
Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2016

Check for updates

Author Tags

Qualifiers

Poster

Funding Sources

National Science Foundation

Conference

SIGMETRICS '16

Sponsor:

SIGMETRICS

SIGMETRICS '16: SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems

June 14 - 18, 2016

Antibes Juan-les-Pins, France

Acceptance Rates

SIGMETRICS '16 Paper Acceptance Rate 28 of 208 submissions, 13%;

Overall Acceptance Rate 459 of 2,691 submissions, 17%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

15
Total Citations
View Citations
336
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Aguilera MBen-David NGuerraoui RMurat AXygkis AZablotchi IAamodt TJerger NSwift M(2023)uBFT: Microsecond-Scale BFT using Disaggregated MemoryProceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 210.1145/3575693.3575732(862-877)Online publication date: 27-Jan-2023
https://dl.acm.org/doi/10.1145/3575693.3575732
Bjørling MGonzález JBonnet PKuenning GWaldspurger C(2017)LightNVMProceedings of the 15th Usenix Conference on File and Storage Technologies10.5555/3129633.3129666(359-373)Online publication date: 27-Feb-2017
https://dl.acm.org/doi/10.5555/3129633.3129666
Ahn HKim JLee Y(2017)A Highly Reliable Storage Systems Based on SSD Array for IoE EnvironmentInternational Journal of Grid and High Performance Computing10.4018/IJGHPC.20171001019:4(1-15)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.4018/IJGHPC.2017100101
Patel MKim JMutlu O(2017)The Reach Profiler (REAPER)ACM SIGARCH Computer Architecture News10.1145/3140659.308024245:2(255-268)Online publication date: 24-Jun-2017
https://dl.acm.org/doi/10.1145/3140659.3080242
Patel MKim JMutlu O(2017)The Reach Profiler (REAPER)Proceedings of the 44th Annual International Symposium on Computer Architecture10.1145/3079856.3080242(255-268)Online publication date: 24-Jun-2017
https://dl.acm.org/doi/10.1145/3079856.3080242
Shukla SAbouzeid A(2017)Proactive retention aware cachingIEEE INFOCOM 2017 - IEEE Conference on Computer Communications10.1109/INFOCOM.2017.8057029(1-9)Online publication date: May-2017
https://doi.org/10.1109/INFOCOM.2017.8057029
Ahn HKim JLee Y(2016)A Highly Reliable Storage Based on SSD Array for Cloud Computing Environment2016 IEEE International Conference on Computer and Information Technology (CIT)10.1109/CIT.2016.54(538-544)Online publication date: Dec-2016
https://doi.org/10.1109/CIT.2016.54
You WDong JFeng XChen ZMao BWu S(2024)SSD Failures in Large-Scale Data Centers: What? Why? and How?2024 International Conference on Networking, Architecture and Storage (NAS)10.1109/NAS63802.2024.10781343(1-8)Online publication date: 9-Nov-2024
https://doi.org/10.1109/NAS63802.2024.10781343
Liu YWang HZhou KLi CWu R(2022)A survey on AI for storageCCF Transactions on High Performance Computing10.1007/s42514-022-00101-34:3(233-264)Online publication date: 23-May-2022
https://doi.org/10.1007/s42514-022-00101-3
Liu XHe YLiu HZhang JLiu BPeng XXu JZhang JZhou ASun PZhu KNishi AZhu DZhang K(2020)Smart Server Crash Prediction in Cloud Service Data Center2020 19th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)10.1109/ITherm45881.2020.9190321(1350-1355)Online publication date: Jul-2020
https://doi.org/10.1109/ITherm45881.2020.9190321
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

SSD Failures in Datacenters: What? When? and Why?

SSD Failures in Datacenters: What, When and Why?

The Reliability of Modern File Systems in the face of SSD Errors