Design and Implementation of a Cloud-Network Resource Management System Based on Digital Twin

As a real-time representation of physical entities in the digital world, digital twin (DT) has been widely used in many industrial fields, bringing significant efficiency gains and cost reductions. The digital and intelligent management of cloud network resources is the key for telecom operators to realize high-quality development of cloud-network integration. To achieve this, a cloud network resource management system based on DT is proposed, which combines cloud network resource management with DT technology to improve the efficient management ability of the whole life cycle of cloud network and reduce labor cost. In addition, a demand forecasting model for edge cloud networks is proposed to guide telecom operators in planning and arranging the resources and services of mobile edge computing (MEC). In this paper, the overall architecture and key functions of the system are designed, and the capabilities of visual dynamic management, grid management and edge demand forecast are verified by application examples.