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Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems.

S. Zhang, Z. Pan, H. Liu, P. Jin, Y. Sun, Q. Ouyang, J. Wang, X. Jia, Y. Zhang, H. Yang, Y. Zou, and D. Pei. ISSRE, page 69-79. IEEE, (2023)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Shuying Zhang

Yan Zhang

Le Zhang

Other publications of authors with the same name

Force feedback soft endoscope intervention mechanism and its performance evaluation in digestive tract phantom.M. Liu, T. Yu, S. Zhang, Y. Liu, Z. Yang, and H. Liu. ROBIO, page 2165-2170. IEEE, (2022)Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems.S. Zhang, Z. Pan, H. Liu, P. Jin, Y. Sun, Q. Ouyang, J. Wang, X. Jia, Y. Zhang, H. Yang and 2 other author(s). ISSRE, page 69-79. IEEE, (2023)FluxRank: A Widely-Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation.P. Liu, Y. Chen, X. Nie, J. Zhu, S. Zhang, K. Sui, M. Zhang, and D. Pei. ISSRE, page 35-46. IEEE, (2019)A measurement study on BGP AS path looping (BAPL) behavior.S. Zhang, Y. Liu, and D. Pei. ICCCN, page 1-7. IEEE, (2014)An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series.D. Li, S. Zhang, Y. Sun, Y. Guo, Z. Che, S. Chen, Z. Zhong, M. Liang, M. Shao, M. Li and 3 other author(s). ISSRE, page 57-68. IEEE, (2023)Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels.S. Zhang, C. Zhao, Y. Sui, Y. Su, Y. Sun, Y. Zhang, D. Pei, and Y. Wang. ISSRE, page 103-114. IEEE, (2021)Effective Attribute Selection for Multi-dimensional Root Cause Analysis.Y. Cheng, B. Cheng, P. Jin, Y. Sun, X. Nie, N. Zhao, S. Zhang, and D. Pei. ISSRE, page 321-331. IEEE, (2022)Rapid Deployment of Anomaly Detection Models for Large Number of Emerging KPI Streams.J. Bu, Y. Liu, S. Zhang, W. Meng, Q. Liu, X. Zhu, and D. Pei. IPCCC, page 1-8. IEEE, (2018)LogTransfer: Cross-System Log Anomaly Detection for Software Systems with Transfer Learning.R. Chen, S. Zhang, D. Li, Y. Zhang, F. Guo, W. Meng, D. Pei, Y. Zhang, X. Chen, and Y. Liu. ISSRE, page 37-47. IEEE, (2020)Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks.P. Liu, H. Xu, Q. Ouyang, R. Jiao, Z. Chen, S. Zhang, J. Yang, L. Mo, J. Zeng, W. Xue and 1 other author(s). ISSRE, page 48-58. IEEE, (2020)

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Disambiguation of "Zhang, Shenglin"

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Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Yan Zhang

Le Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Shenglin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Yan Zhang

Le Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems.