Predicting Disk Failures with HMM- and HSMM-Based Approaches-Reference-Cited by-同舟云学术

Predicting Disk Failures with HMM- and HSMM-Based Approaches

Published:2010 Issue: Volume: Page:390-404
ISSN:0302-9743
Container-title:Advances in Data Mining. Applications and Theoretical Aspects
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Author:

Zhao Ying,Liu Xiang,Gan Siqing,Zheng Weimin

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-14400-4_30.pdf

Reference14 articles.

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2. Pinheiro, E., Weber, W., Barroso, L.A.: Failure Trends in a Large Disk Drive Population. In: 5th USENIX Conference on File and Storage Technologies (FAST 2007), Berkeley, CA (2007)

3. Jiang, W., Hu, C., Zhou, Y., Kanevsky, A.: Are Disks the Dominant Contributor for Storage Failures? A Comprehensive Study of Storage Subsystem Failure Characteristics. ACM Transactions on Storage 4(3), Article 7 (2008)

4. Bairavasundaram, L.N., Goodson, G.R., Pasupathy, S., Schindler, J.: An Analysis of Latent Sector Errors in Disk Drives. SIGMETRICS Perform. Eval. Rev. 35(1), 289–300 (2007)

5. Hamerly, G., Elkan, C.: Bayesian Approaches to Failure Prediction for Disk Drives. In: 18th International Conference on Machine Learning (ICML 2001), Williamstown, MA (2001)

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