Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Disk Failure Prediction Model for Information Systems based on SMART Technology

Authors
Yin Yang, Wei Liang, Wenyi Li
Corresponding Author
Yin Yang
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.4How to use a DOI?
Keywords
SMART; failure prediction; disk reliability; prediction model; reliability model
Abstract
This paper proposes disk failure prediction model using disk SMART technology for information systems, which is based on the actual data, threshold and attribute value of the SMART parameters to establish parameter reliability model, through theoretical discussion and practical test and analysis to choose the weight of important parameters, according to the parameter reliability model and the parameter weights to create disk reliability model. Final, disk reliability failure threshold is determined by the analysis the SMART parameter actual data and parameter weights case, combined with the disk reliability model and disk reliability failure threshold to classify the level of disk reliability. Experimental results show that this technology can satisfies the actual usage and achieves the prediction result.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yin Yang
AU  - Wei Liang
AU  - Wenyi Li
PY  - 2015/06
DA  - 2015/06
TI  - Disk Failure Prediction Model for Information Systems based on SMART Technology
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 14
EP  - 18
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.4
DO  - https://doi.org/10.2991/icecee-15.2015.4
ID  - Yang2015/06
ER  -