Solutions for Monitoring and Anomaly Detection in Dynamic IT Infrastructure: Literature Review
11th International Conference on Cloud Computing and Services Science (CLOSER 2021): Proceedings 2021
Jānis Grabis, Jānis Kampars, Krišjānis Pinka, Guntis Mosāns, Ralfs Matisons, Artjoms Vindbergs

Modern information technology infrastructure is highly complex, and its monitoring requires integration of different monitoring tools and management systems. That is especially important if monitoring data is to be used for predictive maintenance purposes. This paper identifies methods and technologies suitable for analysis of the information technology infrastructure. They are identified by means of literature review. The research questions considered are: 1) What methods are applicable for analysing the virtualized IT infrastructure related data from a technological point of view? 2) What architectural patterns and group of tools are appropriate for infrastructure data processing and analysis? and 3) What tools according to the identified categories in RQ3 can be used for storing and analysing topology graphs and metrics describing virtualized infrastructure? The research finding will serve as an input for further research activities on architectural design of the integrated monito ring solution and development of machine learning model for predictive maintenance.


Atslēgas vārdi
Infrastructure Monitoring, Network Topology, Streaming, Graph Analytics
DOI
10.5220/0010446102240231
Hipersaite
https://www.scitepress.org/Papers/2021/104461/104461.pdf

Grabis, J., Kampars, J., Pinka, K., Mosāns, G., Matisons, R., Vindbergs, A. Solutions for Monitoring and Anomaly Detection in Dynamic IT Infrastructure: Literature Review. No: 11th International Conference on Cloud Computing and Services Science (CLOSER 2021): Proceedings, Čehija, Prague, 28.-30. aprīlis, 2022. Setúbal: SciTePress, 2021, 224.-231.lpp. ISBN 978-989-758-510-4. ISSN 2184-5042. Pieejams: doi:10.5220/0010446102240231

Publikācijas valoda
English (en)
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