Hidden Markov Model for Hard Disk Drive Failure Detection

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Date

2024

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Institute of Electrical and Electronics Engineers Inc.

Abstract

Understanding disk failures is crucial for both disk manufacturers and users, enabling the production of more dependable disk drives and the establishment of robust storage systems. Detecting disk failure has been found to be facilitated by the use of observable disk properties, especially those provided by the Self-Monitoring and Reporting Technology (SMART) system. In our paper, we leverage the capabilities of the SMART time series dataset to achieve an overall accuracy of 92% in disk failure detection. © 2024 IEEE.

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Keywords

Clustering, Disk Failure, Hidden Markov Model, SMART

Citation

2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024, 2024, Vol., , p. -

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