Research on memory failure prediction based on ensemble learning.

Research on memory failure prediction based on ensemble learning.

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Timely prediction of memory failures is crucial for the stable operation of data centers. However, existing methods often rely on a single classifier, which can lead to inaccurate or unstable predictions. To address this, we propose a new ensemble model for predicting CE-driven memory failures, wher...

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Bibliographic Details
Main Authors: Peng Zhang, Jialiang Zhang, Yi Li
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0321954
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