The increase in the number of workstations, the need to diversify applications and the rise in traffic are prompting a reassessment of network capacity in order to guarantee quality of service and cope with increasingly frequent congestion. Many authors address the sizing of networks, whether physical, virtual, software-based, fibre optic or wireless, by quantifying traffic in order to determine network behaviour.
By superimposing each of these studies, it becomes clear that future research on dimensioning will be based on machine learning models with a view to continuously adapting to the overall behaviour of the network.