Unsupervised learning enables instance-level microservice fault detection using traces and resource metrics
Z
Zhang Peng
L
Li Weigang
H
He Hao
(School of Materials Science and Engineering, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Academy for Advanced Interdisciplinary Studies, Beijing Science and Engineering Center for Nanocarbons)
C
Chu Yuntao
Z
Zhan Xinyue
W
Wu Junsheng
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 16, Issue 1
Published
April 24, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (6)
Z
Zhang Peng
L
Li Weigang
H
He Hao
School of Materials Science and Engineering, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Academy for Advanced Interdisciplinary Studies, Beijing Science and Engineering Center for Nanocarbons
C
Chu Yuntao
Z
Zhan Xinyue
W
Wu Junsheng
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