IT Infrastructure Anomaly Detection and Failure Handling: A Systematic Literature Review Focusing on Datasets, Log Preprocessing, Machine & Deep Learning Approaches and Automated Tool-Reference-Cited by-同舟云学术

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IT Infrastructure Anomaly Detection and Failure Handling: A Systematic Literature Review Focusing on Datasets, Log Preprocessing, Machine & Deep Learning Approaches and Automated Tool

Published:2021 Issue: Volume:9 Page:156392-156421
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bhanage Deepali Arun^ORCID,Pawar Ambika Vishal,Kotecha Ketan^ORCID

Funder

Research Support the Fund of Symbiosis International (Deemed University), Pune, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09615039.pdf?arnumber=9615039

Cited by 9 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. Flow monitoring system and abnormal log traffic mode detection based on artificial intelligence;Optical and Quantum Electronics;2023-12-13

2. Application of multivariate time-series model for high performance computing (HPC) fault prediction;PLOS ONE;2023-10-17

3. Unsupervised Representation Learning for Fault Diagnosis in IT Infrastructure;2023 2nd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM);2023-07-25

4. Deep learning for anomaly detection in log data: A survey;Machine Learning with Applications;2023-06

5. System Log Parsing: A Survey;IEEE Transactions on Knowledge and Data Engineering;2023

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