| Issue |
EPJ Web Conf.
Volume 380, 2026
International Conference on Information Systems and Communication Technologies (ICISCT’25)
|
|
|---|---|---|
| Article Number | 02017 | |
| Number of page(s) | 15 | |
| Section | Artificial Intelligence, Advanced Control Systems, and Energy Management | |
| DOI | https://doi.org/10.1051/epjconf/202638002017 | |
| Published online | 03 August 2026 | |
https://doi.org/10.1051/epjconf/202638002017
Dynamic Virtual Machine (VM) Optimization in a Cloud Environment
LETIA, University of Abomey-Calavi, Abomey-Calavi, Benin
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 3 August 2026
Abstract
Cloud computing appears to be an ecosystem with flexible and scalable IT resources. The finding is that cloud services are increasing considerably and resource management is a real problem. This is the case with the static allocation of virtual machines (VMs) that fail to effectively manage multiple workloads in real time. This leads to inefficiencies and high costs. This article proposes a system for dynamic optimization of virtual machines in a cloud to satisfy the multiple and varied requests of users. The main objective is to design a system that dynamically adjusts the number and configurations of VMs according to cloudlet requests, while optimizing performance and costs. This solution allows to learn, scale and remove virtual machines taking into account the variation in demand. It therefore ensures the optimal use of data centre resources.
Key words: cloud computing / cloudlets / resources / static / Virtual Machines
© The Authors, published by EDP Sciences, 2026
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