  Vehicles embed lots of sensors supporting driving and safety. Combined with
connectivity, they bring new possibilities for Connected, Cooperative and
Automated Mobility (CCAM) services that exploit local and global data for a
wide understanding beyond the myopic view of local sensors. Internet of Things
(IoT) messaging solutions are ideal for vehicular data as they ship core
features like the separation of geographic areas, the fusion of different
producers on data/sensor types, and concurrent subscription support.
Multi-access Edge Computing (MEC) and Cloud infrastructures are key to hosting
a virtualized and distributed IoT platform. Currently, the are no benchmarks
for assessing the appropriate size of an IoT platform for multiple vehicular
data types such as text, image, binary point clouds and video-formatted
samples. This paper formulates and executes the tests to get a benchmarking of
the performance of a MEC and Cloud platform according to actors' concurrency,
data volumes and business levels parameters.
