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Minority disk failure prediction based on transfer learning in large data centers of heterogeneous disk systems
J Zhang, K Zhou, P Huang, X He, M **_Predict_Failures_in_Production_SSD-Based_Consumer_Storage_Systems/links/64894c6d9bc5e436682e1e3b/Multidimensional-Features-Hel**-Predict-Failures-in-Production-SSD-Based-Consumer-Storage-Systems.pdf" data-clk="hl=ko&sa=T&oi=gga&ct=gga&cd=7&d=6328243778471589489&ei=BEC7Z6_gD9q16rQP3bDmmQ4" data-clk-atid="cfbfIzBw0lcJ" target="_blank">[PDF] researchgate.net
Multidimensional Features Hel** Predict Failures in Production SSD-Based Consumer Storage Systems
As SSD failures seriously lead to data loss and service interruption, proactive failure
prediction is often used to improve system availability. However, the unidimensional SMART …
prediction is often used to improve system availability. However, the unidimensional SMART …
A novel SSD fault detection method using GRU-based sparse auto-encoder for dimensionality reduction
Y Wang, X Dong, L Wang, W Chen… - Journal of Intelligent & …, 2022 - content.iospress.com
In recent years, with the development of flash memory technology, storage systems in large
data centers are typically built upon thousands or even millions of solid-state drives (SSDs) …
data centers are typically built upon thousands or even millions of solid-state drives (SSDs) …
A One-Class Anomaly Detection Method for Drives based on Adversarial Auto-Encoder
Y Wang, X Dong, L Wang, W Chen… - 2022 IEEE 24th Int Conf …, 2022 - ieeexplore.ieee.org
In recent years, hard disk drives (HDDs) and solid-state drives (SSDs) are both widely
deployed in data centers. As a proactive warning technology, drive anomaly detection can …
deployed in data centers. As a proactive warning technology, drive anomaly detection can …