| Title | Effective Anomaly Detection for Microservice Systems with Real-Time Feature Selection |
| Author | |
| Corresponding Author | Yepang Liu |
| Publication Years | 2023-12
|
| Conference Name | The 30th Asia-Pacific Software Engineering Conference
|
| Source Title | |
| Conference Date | 2023-12
|
| Conference Place | Seoul, South Korea
|
| SUSTech Authorship | First
; Corresponding
|
| Language | English
|
| Data Source | 人工提交
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/564142 |
| Department | Southern University of Science and Technology 工学院_计算机科学与工程系 |
| Affiliation | Southern University of Science and Technology |
| First Author Affilication | Southern University of Science and Technology |
| Corresponding Author Affilication | Southern University of Science and Technology |
| First Author's First Affilication | Southern University of Science and Technology |
| Recommended Citation GB/T 7714 |
Siqi Zhou,Xian Zhan,Linlin Li,et al. Effective Anomaly Detection for Microservice Systems with Real-Time Feature Selection[C],2023.
|
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| APSEC2023.pdf（5116KB） | Restricted Access | -- | ||||
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