Solutions for Monitoring and Anomaly Detection in Dynamic IT Infrastructure: Literature Review

Jānis Grabis, Jānis Kampars, Krišjānis Pinka, Guntis Mosāns, Ralfs Matisons, Artjoms Vindbergs

Abstract

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 monitoring solution and development of machine learning model for predictive maintenance.

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Paper Citation


in Harvard Style

Grabis J., Kampars J., Pinka K., Mosāns G., Matisons R. and Vindbergs A. (2021). Solutions for Monitoring and Anomaly Detection in Dynamic IT Infrastructure: Literature Review. In Proceedings of the 11th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-510-4, pages 224-231. DOI: 10.5220/0010446102240231


in Bibtex Style

@conference{closer21,
author={Jānis Grabis and Jānis Kampars and Krišjānis Pinka and Guntis Mosāns and Ralfs Matisons and Artjoms Vindbergs},
title={Solutions for Monitoring and Anomaly Detection in Dynamic IT Infrastructure: Literature Review},
booktitle={Proceedings of the 11th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2021},
pages={224-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010446102240231},
isbn={978-989-758-510-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Solutions for Monitoring and Anomaly Detection in Dynamic IT Infrastructure: Literature Review
SN - 978-989-758-510-4
AU - Grabis J.
AU - Kampars J.
AU - Pinka K.
AU - Mosāns G.
AU - Matisons R.
AU - Vindbergs A.
PY - 2021
SP - 224
EP - 231
DO - 10.5220/0010446102240231