Work

Data Centre Monitoring Model Utilizing Artificial Intelligence, Machine Learning and Anomaly Detection Algorithms

Year: 2025

Type: conference-paper

Abstract: 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.

Source: Environment Technology Resources Proceedings of the International Scientific and Practical Conference

DOI: 10.17770/etr2025vol2.8565

Author: Roberts Volkovičs

Institution: Vidzeme University of Applied Sciences

Language: English

Topic: Software System Performance and Reliability

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: European Commission, Research Executive Agency

Award: Twinning in Environmental Data and Dynamical Systems Modelling for Latvia