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- W4385585541 abstract "Magnetic hard disk drives continue to be heavily used to store global information. However, due to the physical characteristics these components fatigue and fail, sometimes in unexpected ways. A failing hard disk can cause problems to a group of hard disks and result in suboptimal performance which impacts cloud providers. To address failures, redundancies are put in place, but these redundancies have a high cost. Utilizing Machine learning we identify predictive failure features within a hard disk vendor’s Hard Disk Drive Model line which can be used as an early failure prediction method which may be used to reduce redundancies in cloud storage infrastructures." @default.
- W4385585541 created "2023-08-05" @default.
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- W4385585541 date "2023-05-01" @default.
- W4385585541 modified "2023-09-25" @default.
- W4385585541 title "Predicting Hard Disk Drive Faults, Failures and Associated Misbehavior’s" @default.
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- W4385585541 doi "https://doi.org/10.1109/ipdpsw59300.2023.00082" @default.
- W4385585541 hasPublicationYear "2023" @default.
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