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

Author:

Bhanage Deepali ArunORCID,Pawar Ambika Vishal,Kotecha KetanORCID

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

Cited by 11 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. Catalyzing Financial Risk Control Excellence;Journal of Organizational and End User Computing;2024-08-29

2. Landscape and Taxonomy of Online Parser-Supported Log Anomaly Detection Methods;IEEE Access;2024

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

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

5. 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

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