Performance Assessment of Vehicular Cloud Systems: An Analytical Approach Using M/G/m Queueing Model

Vehicular Cloud (VC), leveraging the computational and communication capabilities of vehicles, is a promising paradigm for enhancing intelligent transportation systems. The recent IEEE 802.11bd telecommunications standard plays a vital role in enabling high-speed, low-latency communication for advanced vehicular applications. This study employs analytical modeling of a VC with IEEE 802.11bd using an M/G/m queueing system to assess its performance. The model enables cloud operators to understand the relationship between the number of servers, the Erlangian service rate, and the arrival rate on one hand, and performance indicators such as execution time in the cloud and task completion time on the other. These insights are essential for optimizing resource allocation and improving the overall performance and reliability of vehicular networks.