Deep Attentive Anomaly Detection for Microservice Systems with Multimodal Time-Series Data
Author:
Affiliation:
1. Chongqing University, Ministry of Education,Key Laboratory of Dependable Service Computing in Cyber Physical Society,China
2. Chongqing University,School of Big Data & Software Engineering,Chongqing,China
Funder
Research and Development
Fundamental Research Funds for the Central Universities
Natural Science Foundation of Chongqing
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9885729/9885263/09885761.pdf?arnumber=9885761
Reference20 articles.
1. Drain: An Online Log Parsing Approach with Fixed Depth Tree
2. Anomaly Detection in Streams with Extreme Value Theory
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4. Deep autoencoding gaussian mixture model for unsupervised anomaly detection;zong;ICLRE,2018
5. Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
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