Digital Twin based Visualization Framework for Computer System Monitoring

Digital Twins are increasingly adopted to enhance system understanding, monitoring, and decision-making across various domains. However, many existing approaches focus on large-scale industrial systems, making them complex and unsuitable for early-stage academic or educational environments. This paper presents a simplified Digital Twin– based visualization framework for monitoring a computer system within an academic laboratory context. The proposed approach integrates a 3D virtual model with live system performance data to provide intuitive visualization and basic monitoring capabilities. The framework demonstrates how Digital Twin concepts can be introduced at a small scale, serving as a foundation for future real-time and large- scale implementations.