Edge Computing for Enhancing Digital Twin Applications in Consumer Devices

The Metaverse is the fusion of multiple immersive digital technology platforms such as augmented reality (AR), virtual reality (VR), and mixed reality. This paper aims to provide insights into what edge computing will do for consumer devices for Metaverse. We define and discuss a system architecture with edge-computing capabilities to support real-time data processing and analysis to address the required latency for energy efficient and better user experience. All results are based on a comparative study of real-time simulations using the dataset provided by UCI Machine Learning Repository for the proposed approach. The results are compelling across several cases of reduced latency and minimized energy consumption and user satisfaction. Our analyses further demonstrate that there is a potential to integrate edge computing into consumer devices for delivering consumers the immersive fully realized Metaverse experiences in real-time. Further work will include the focus on the possible scalability for the system, along with the extension of its practical usage.