Matching Digital Twins with Cloud Integration: Optimizing Productivity and Efficiency Through Server Integration

J.Bhargavi, K.Akshitha, P.Moulik, D.Gyan Vivek

ABSTRACT:Digital Twin technology integrated with cloud servers improves productivity, efficiency, and intelligent decision-makingin modern systems. A Digital Twin serves as a virtual model of a real-world machine, process, or environment, data to be collected, stored, and analyzed. This helps monitor performance, detect issues early, and predict future behavior usingsimulation data and past records. Cloud integration allows easy access and sharing of data across different locations,saving time and reducing operational costs. The enhanced model introduces full synchronization of digital twins with cloud platforms like AWS IoT Twin Maker and Azure Digital Twins for real-time updates. Central servers are used not only for data storage but also to run machine learning models, perform predictive analytics, andautomatically adjustsystem behavior. Multiple twins can now collaborate through server coordination, ensuring balanced workloads. These improvements result in faster response, reduced downtime, and smarter automation.