StreamDFP: A General Stream Mining Framework for Adaptive Disk Failure Prediction
Author:
Affiliation:
1. Peking University, Beijing, China
2. Chinese University of Hong Kong, Hong Kong
3. Xiamen University, Xiamen, China
4. Alibaba Group, Hangzhou, China
Funder
Alibaba Group
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software
Link
http://xplorestaging.ieee.org/ielx7/12/10019338/09737380.pdf?arnumber=9737380
Reference45 articles.
1. General Feature Selection for Failure Prediction in Large-scale SSD Deployment
2. Health Status Assessment and Failure Prediction for Hard Drives with Recurrent Neural Networks
3. New Options for Hoeffding Trees
4. CONTINUOUS INSPECTION SCHEMES
5. Online Bagging and Boosting
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2. Prediction of Disk Failure Based on Classification Intensity Resampling;Information;2024-05-31
3. Hard Disk Drive Failure Prediction Based on GRU Neural Network;2022 IEEE/CIC International Conference on Communications in China (ICCC);2022-08-11
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