Sensitivity Analysis of the Nextcloud Service Hosted in a Private Cloud

• Wenderson de Souza Leonardo UFRPE
• Alison Silva UPE
• Thiago Bezerra IFPE
• Gustavo Callou UFRPE

DOI: https://doi.org/10.5753/semish.2025.9196

Abstract

Applications hosted on private cloud servers require high connectivity and on-demand access to resources. To prevent failures that could lead to service unavailability, it is essential for private cloud providers to have a deep understanding of the system components and to identify critical points that may cause failures. This study proposes a sensitivity analysis of the Nextcloud service, which provides a file system as a service. A case study was conducted to evaluate the availability and performance of the private cloud environment using a design of experiments (DoE) approach and Stochastic Petri Nets (SPN) models. The results indicate that component analysis contributes to identifying the system’s most critical points.

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