Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 15 of 70
Back to Result List

SmartPred: Unsupervised Hard Disk Failure Detection

  • Due to the rapidly increasing storage consumption worldwide, as well as the expectation of continuous availability of information, the complexity of administration in today’s data centers is growing permanently. Integrated techniques for monitoring hard disks can increase the reliability of storage systems. However, these techniques often lack intelligent data analysis to perform predictiveDue to the rapidly increasing storage consumption worldwide, as well as the expectation of continuous availability of information, the complexity of administration in today’s data centers is growing permanently. Integrated techniques for monitoring hard disks can increase the reliability of storage systems. However, these techniques often lack intelligent data analysis to perform predictive maintenance. To solve this problem, machine learning algorithms can be used to detect potential failures in advance and prevent them. In this paper, an unsupervised model for predicting hard disk failures based on Isolation Forest is proposed. Consequently, a method is presented that can deal with the highly imbalanced datasets, as the experiment on the Backblaze benchmark dataset demonstrates.show moreshow less

Export metadata

Additional Services

Share in Twitter Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Janis KeuperORCiDGND, Philipp Rombach
Editor:Heike Jagode, Hartwig Anzt, Guido Juckeland, Hatem Ltaief
Publisher:Springer
Place of publication:Cham
Year of Publication:2020
Pagenumber:12
ISBN:978-3-030-59850-1 (Print)
ISBN:978-3-030-59851-8 (eBook)
Language:English
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
Parent Title (English):High Performance Computing
First Page:235
Last Page:246
Document Type:Conference Proceeding
Institutes:Bibliografie
Release Date:2021/01/13
Licence (German):License LogoEs gilt das UrhG
Note:
ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21–25, 2020, Revised Selected Papers
URL:https://www.springerprofessional.de/smartpred-unsupervised-hard-disk-failure-detection/18500552
DOI:https://doi.org/10.1007/978-3-030-59851-8_15