Project IoDT2

Current digital twin practices have limitations due to the central location of most digital twin models, which can cause data processing latency and network bandwidth issues. Additionally, the use of proprietary digital twin solutions can create technology silos and compatibility issues when interfacing virtual subsystems from different manufacturers. To address these issues, we propose a novel digital twin framework called the Internet of Digital Twin Things (IoDT²). This framework will allow for the easy sharing of models and data across networks, and computation resources can dynamically be formed to execute simulations. Each model can be instantiated at edge, fog, or cloud level where it exchanges data with other models, performs simulations, and returns results. This will enable practitioners to focus on creating necessary core models for their systems instead of being bogged down by complex software configuration.