System Failure Detection Using Deep Learning Models Integrating Timestamps With Nonuniform Intervals

System Failure Detection Using Deep Learning Models Integrating Timestamps With Nonuniform Intervals

System logs play an important role in software development and system maintenance. Many system software programs continuously generate system logs during software runtimes for failure detection and diagnosis purposes. Currently, the analysis of system log data is mainly a manual process that highly...

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Bibliographic Details
Main Authors: Yixin Huangfu, Saeid Habibi, Alan Wassyng
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Data engineering
data mining
feature extraction
neural networks
pattern recognition
software maintenance
Online Access:https://ieeexplore.ieee.org/document/9709226/

Internet

https://ieeexplore.ieee.org/document/9709226/

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