Non-Intrusive Anomaly Detection With Streaming Performance Metrics and Logs for DevOps in Public Clouds: A Case Study in AWS

Author:

Sun Daniel,Fu Min,Zhu Liming,Li Guoqiang,Lu Qinghua

Funder

National ICT Australia funded by the Australian Government through the Department of Communications

Australian Research Council through the Information Communications Technology Centre of Excellence Program

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MicroNet: Operation Aware Root Cause Identification of Microservice System Anomalies;IEEE Transactions on Network and Service Management;2024-08

2. Autonomous Monitors for Detecting Failures Early and Reporting Interpretable Alerts in Cloud Operations;Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice;2024-04-14

3. AI-Driven DevOps Transformation: A Paradigm Shift in Software Development;2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL);2024-03-13

4. Indicator Fault Detection Method Based on Periodic Self Discovery and Historical Anomaly Filtering;IEEE Access;2024

5. Concept Drift Detection Based on Typicality and Eccentricity;IEEE Access;2024

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