Treffer: DATA CENTRE MONITORING MODEL UTILIZING ARTIFICIAL INTELLIGENCE, MACHINE LEARNING AND ANOMALY DETECTION ALGORITHMS
Title:
DATA CENTRE MONITORING MODEL UTILIZING ARTIFICIAL INTELLIGENCE, MACHINE LEARNING AND ANOMALY DETECTION ALGORITHMS
Authors:
Source:
ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference; Vol. 2 (2025): Environment. Technology. Resources. Proceedings of the 16th International Scientific and Practical Conference. Volume 2; 375-382 ; 2256-070X ; 1691-5402
Publisher Information:
Rezekne Academy of Technologies
Publication Year:
2025
Collection:
The Scientific Journal of Rezeknes Augstskola
Subject Terms:
Document Type:
Fachzeitschrift
article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
DOI:
10.17770/etr2025vol2.8565
Availability:
Rights:
Copyright (c) 2025 Roberts Volkovičs ; https://creativecommons.org/licenses/by/4.0
Accession Number:
edsbas.E1C7CFD9
Database:
BASE
Weitere Informationen
In this article the review is created of architectures of popular data centre monitoring tools and corresponding information processing techniques are summarised. Pros and cons analysis of the monitoring tools is done and novel approach is offered by utilizing Artificial Intelligence (AI), Machine Learning (ML) and Anomaly Detection (AD) algorithms to achieve research goals and prove hypothesis that data centre level monitoring model could be built using combined AI, ML and AD techniques. Oracle performance metric data are collected to perform the information analysis from such angles the most modern enterprise monitoring tools do not provide yet.