Applying Multi-Objective Differential Evolution for IoT Application Design in the Edge-Cloud Continuum

The edge-cloud continuum's lack of unified standards often limits application development to the initially chosen platform. This challenges designers and developers to select the computation resources available in the edge/cloud continuum to optimize application performances while containing execution costs. In this context, this work proposes a methodology for assessing distributed application deployment configurations through simulation based on the Petri-net formalism. Furthermore, it investigates using the Differential Evolution (DE) algorithm to identify optimal configurations, considering multiple and potentially conflicting objectives.