Source code, experimental data, and replication artifacts for the proposal and evaluation of an architecture for a smart parking digital twin

The repository contains the main materials associated with the development and experimental evaluation of the proposed Smart Parking Digital Twin architecture: Architecture source code: source code and deployment configurations used to implement and deploy the proposed architecture across the Mist, Edge, Fog, and Cloud strategies; Experimental data: raw and processed datasets generated during the experimental evaluation for the Mist, Edge, Fog, and Cloud deployment strategies under different workload levels and traffic patterns.

The processed data include the descriptive statistics and consolidated datasets used as input for the statistical analyses; Analysis results: statistical analysis results obtained from the processed experimental data, including the three-way ANOVA and Aligned Rank Transform (ART) ANOVA results, generated figures, and Python scripts used to perform and reproduce the analyses. The repository is intended to support the reproducibility of the experimental evaluation and provide resources for future research on Digital Twins, distributed computing architectures, and Smart Campus Parking systems.