Platform for Machine Learning/Digital Twin

Digital twin technology is an emerging technology. In this technology a digital twin reflecting the real world is constructed and utilized to control the real world. To construct a real-time digital twin, real-time processing of the information from the real world is required. One approach to achieving the real-time processing is to perform the processing at the locations near the target of the digital twin. Therefore, micro data centers are being deployed at the edge of the network. However, the micro data centers have only limited computational resources. We are conducting the research to establish a platform for machine learning and digital twin that can efficiently utilize the resources of end devices, edge data centers, and cloud datacenters.