Anomaly Detection in a Large-Scale Cloud Platform-Reference-Cited by-同舟云学术

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Anomaly Detection in a Large-Scale Cloud Platform

Published:2021-05 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
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Author:

Islam Mohammad S.,Pourmajidi William,Zhang Lei,Steinbacher John,Erwin Tony,Miranskyy Andriy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9401806/9401954/09402147.pdf?arnumber=9402147

Cited by 18 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. Anomalies cannot materialize or vanish out of thin air: A hierarchical multiple instance learning with position-scale awareness for video anomaly detection;Expert Systems with Applications;2024-11

2. Detecting Cloud Anomaly via Broad Network-Based Contrastive Autoencoder;IEEE Transactions on Network and Service Management;2024-06

3. InstantOps: A Joint Approach to System Failure Prediction and Root Cause Identification in Microserivces Cloud-Native Applications;Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

4. 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

5. RADig-X: a Tool for Regressions Analysis of User Digital Experience;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

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