Description
Date depot: 5 avril 2024
Titre: Digital Twinning Optimization: a Spatio-Temporal Approach
Directeur de thèse:
Binh-Minh BUI-XUAN (LIP6)
Encadrante :
Francesca FOSSATI (LIP6)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Systèmes et réseaux
Resumé: Digital Twinning is the act of associating and synchronising an entity of the physical real world to its corresponding avatar in a virtual world called Metaverse. This real world entity can be a person, a vehicle, an IoT device, a RFID enabled object, and so on. In order to provide a real-time copy of the real world, digital twinning need to update the state of the entities in the physical realm and a usage of computing resources to update the state of their copy in the digital realm. Two challenges raise from this type of environment: how we associate users to resource providers and how resource providers allocate resources to them. Due to the spatio-temporal nature of real world data, where users can move in the space and their resource requests can vary over time, our resource allocation problems can be modelled by spatio-temporal networks (STN). The objective of the PhD is to address the two challenges providing an optimal association between users sensor and resource providers and an optimal resource allocation having the objective of maximizing the users Quality of Experience(QoE) using properties of STN.