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International Journal of Computers and Applications Volume 37, 2015 - Issue 3-4
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Articles

Disk failure prediction model for storage systems based on disk SMART technology

Yin YangSchool of Accounting, Wuhan Textile University, Wuhan, ChinaCorrespondence[email protected]
,
Wenyi LiSchool of Accounting, Wuhan Textile University, Wuhan, China
,
Manning ZhangSchool of Accounting, Wuhan Textile University, Wuhan, China
,
Xiaomei DingSchool of Accounting, Wuhan Textile University, Wuhan, China
&
Jing DaiSchool of Accounting, Wuhan Textile University, Wuhan, China
Pages 111-119 | Received 20 Oct 2015, Accepted 08 May 2016, Published online: 20 May 2016

References

  • Jiang W, Hu C, Zhou Y, et al. Are disks the dominant contributor for storage failures? A comprehensive study of storage subsystem failure characteristics ACM Trans. Storage. 2008;4:1–25.
  • Patterson DA, Gibson G, Katz RH. A case for redundant arrays of inexpensive disks (RAID). ACM SIGMOD Rec. 1988;17:109–116.10.1145/971701
  • Xin Q, Cruz S, Miller EL, et al. Reliability mechanisms for very large storage systems. Proc.20th IEEE/11th NASA Goddard conf. on mass storage systems and technologies, San Diego, CA, 146–156; 2003.
  • Hughes GF, Murray JF, Kreutz-Delgado K, et al. Improved disk-drive failure warnings. IEEE Trans. Reliab. 2002;51:350–357.10.1109/TR.2002.802886
  • Goldszmidt M. Finding soon-to-fail disks in a haystack. Proc. 4th USENIX conf. on hot toics in storage and file systems, Boston, MA, 12–15; 2012.
  • Hamerly G, Elkan C. Bayesian approaches to failure prediction for disk drives. Proc. eighteenth international conf. on machine learning: Williamstown, MA, 202–209; 2001.
  • Murray JF, Hughes GF, Kreutz-Delgado K. Machine learning methods for predicting failures in hard drives: a multiple-instance application. J. Mach. Learn. Res. 2005;6:783–816.
  • Wikipedia. Self-monitoring, analysis, and reporting technology; 2012. http://en.wikipedia.org/wiki/S.M.A.R.T.
  • Hungary HDS. Can we believe S.M.A.R.T.? Technical Committee T13; 2007.
  • Sankar S, Shaw M, Vaid K. Impact of temperature on hard disk drive reliability in large datacenters. Proc. IEEE/IFIP 41st international conf. on dependable systems & networks, Kowloon, Hong Kong, 30–537; 2011.
  • Pinheiro E, Weber WD, Barroso LA. Failure trends in a large disk drive population. Proc. 5th USENIX conf. on file and storage technologies, San Jose, CA, 17–28; 2007.
  • Murray JF, Hughes GF, Kreutz-Delgado K. Hard drive failure prediction using non-parametric statistical methods. Proc. ICANN/ICONIP 2003 joint international conf. on artificial neural networks and neural information processing, Istanbul, Turkey; 2003.
  • Wang Y, Miao Q, Ma EWM, et al. Online anomaly detection for hard disk drives based on mahalanobis distance. IEEE Trans. Reliab. 2013;62:136–145.10.1109/TR.2013.2241204

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