Utilisation des mécanismes d’ordonnancement pour la gestion des ressources dans un réseau à base de Fog Computing.

Abstract

This graduation project focuses on the use of Fog Computing in the health sector to detect and treat emergencies in real time. Fog Computing makes it possible to locally manage the data generated by connected objects, thus reducing response times and offering better data control. The objective is to optimize task planning in Fog Computing using a multi-criteria optimization method called TOPSIS. The report presents a service architecture for IoT devices in healthcare, using fog computing and taking into account several quality of service criteria. Experiments were carried out using a simulator called iFogSim. The results show the effectiveness of this approach.