Unsupervised learning enables instance-level microservice fault detection using traces and resource metrics.

Peng Z, Weigang L, Hao H, Yuntao C, Xinyue Z, Junsheng W

DOI: 10.1038/s41598-026-49746-y
Published: 2026 Apr 24
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-49746-y,
  title = {Unsupervised learning enables instance-level microservice fault detection using traces and resource metrics.},
  author = {Peng Z and Weigang L and Hao H and Yuntao C and Xinyue Z and Junsheng W},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-49746-y},
  url = {https://doi.org/10.1038/s41598-026-49746-y}
}

RIS

TY  - JOUR
TI  - Unsupervised learning enables instance-level microservice fault detection using traces and resource metrics.
AU  - Peng Z
AU  - Weigang L
AU  - Hao H
AU  - Yuntao C
AU  - Xinyue Z
AU  - Junsheng W
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-49746-y
UR  - https://doi.org/10.1038/s41598-026-49746-y
ER  -

APA

Z, P., L, W., H, H., C, Y., Z, X., & W, J. (2026). Unsupervised learning enables instance-level microservice fault detection using traces and resource metrics.. Scientific reports. https://doi.org/10.1038/s41598-026-49746-y

Source records

pubmed · retrieved 2026-09-25T20:50:09.880Z