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System Failure Detection Using Deep Learning...
Journal article

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

Abstract

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 depends on human knowledge and experience. This time-consuming task has become a problem because of the ever-increasing volume of log data. Existing …

Authors

Huangfu Y; Habibi S; Wassyng A

Journal

IEEE Access, Vol. 10, , pp. 17629–17640

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 2022

DOI

10.1109/access.2022.3150342

ISSN

2169-3536