Vol. 13 No. 4 (2024): Revista de Investigaciones
Artí­culos Originales

Physical vs. virtualized infrastructure: experimental analysis of CPU usage at the National University of Altiplano

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Jesus Daniel Malma Montaño
Universidad Nacional del Altiplano
Adolfo Carlos Jimenez Chura
Universidad Nacional del Altiplano
V13n4-Revista de Investigaciones

Published 2024-12-30

Keywords

  • Server automation,
  • Operational efficiency,
  • Virtualized infrastructure,
  • Resource optimization,
  • CPU and memory usage

Copyright (c) 2025 Jesus Daniel Malma Montaño, Adolfo Carlos Jimenez Chura

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Malma Montaño, J. D., & Jimenez Chura, A. C. (2024). Physical vs. virtualized infrastructure: experimental analysis of CPU usage at the National University of Altiplano. Revista De Investigaciones, 13(4), 201-209. https://doi.org/10.26788/ri.v13i4.6513

Abstract

Server automation enables the optimization of resource management and enhances operational efficiency in technological environments. The infrastructure can be either physical or virtualized, each presenting advantages and disadvantages in terms of performance and resource consumption. The aim of this research was to evaluate and compare the operational efficiency in CPU usage between physical and virtualized servers at the Universidad Nacional del Altiplano. The methodology followed a quantitative and experimental approach, using a sample of six servers (three physical and three virtual), monitored with Prometheus and Grafana. The results showed significant differences: virtualized servers demonstrated more efficient CPU usage (average of 3.66%) compared to physical servers (43.85%). Statistical tests, such as the Student’s t-test, were applied and yielded a t-value of 28.21 and a p-value of 2.57e-150, indicating a highly significant difference between the two types of servers. It is concluded that virtualization provides advantages in resource optimization and operational stability, especially for lower-demand applications, suggesting that its implementation in academic environments could enhance the efficiency of university technological infrastructure.

pdf (Spanish)

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