Performance analysis and modeling of central navigation cloud

Abstract

Road congestion is an increasingly serious social issue in countries with a large population such as China. Central Navigation Cloud (CNC) is considered as a possible solution to resolve road congestion since it can simultaneously offer optimum routes to multiple vehicles by fusing global traffic information. However, it is extremely expensive to build up and maintain an exclusive cloud infrastructure. This study proposes a performance analysis model with parameters from a given map and cloud center with the aim of providing a solution with respect to the least scale of the cloud center that can satisfy performance requirements in the given number of road intersections and vehicles. Three group simulations were carried out by considering the number of road intersections and vehicles and different scales and frequencies of VMs in the cloud center. The results demonstrate that the proposed model is of significant reference value to build an economic and applicable CNC for a city’s navigation service. Finally, the study involved collecting a real data set to validate the model. The findings indicated that the proposed model was validated.