Exploring Architectural Strategies for Mobility Experimentation: A Simulation-Based Study

This study conducts a comparative analysis of indoor and outdoor positioning systems, focusing on architectural approaches' efficiency, resource utilization, and scalability. It employs microservice clustered-fog architecture and edgewards-fog for comparison, assessing performance using metrics like application loop delay (ALD), network usage (NU), and migration time (MT). Results favor the clustered approach for its consistency, stability, efficiency, and lower resource use. It also highlights the influence of clusters and regions on system performance, with fewer regions performing better for fewer users and multiple regions for more users. This emphasizes regionality in architectural design. However, these findings are context-specific, requiring validation in diverse scenarios. In summary, this study offers insights into architectural performance in positioning systems, aiding efficient and scalable designs.