Unveiling the Elasticity of Virtual Machines in VANETs: A Strategy to Enhance Capacity Planning in RSUs

• Luis Guilherme Silva UFPI
• Carlos Brito UFPI
• Israel Cardoso UFPI
• Arthur Sabino UFPI
• Luiz Nelson Lima UFPI
• Glauber Gonçalves UFPI
• Geraldo P. Rocha Filho UESB
• Iure Fé UFPI
• Francisco Airton Silva UFPI

DOI: https://doi.org/10.5753/sbrc.2024.1291

Abstract

This paper presents a performance model designed to evaluate the effectiveness of a virtual machine auto-escalonamento system applied to monitoring on highways subject to high traffic variability with VANETs. For this, an approach based on stochastic Petri nets was used, capable of capturing a variety of distinct behaviors associated with the auto-escalonamento system. The results obtained reveal the importance of the quantity of virtual machines already allocated in the system initially. Furthermore, it was found that the effective application of the auto-escalonamento and reinstantiation strategy played a significant role in optimizing the overall performance of the system.

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