Digital Twin Enabled the Networking Recommendation Strategy of Devices in Data Center

Abstract

As a result of the digital transformation of cities and industries, the number of enterprise data centers is increasing at a multiple speed. Data centers possess their own device management system while other departments manage all kinds of devices. Due to lack of an appropriate recommendation model for researchers conducting device networking, there are a great many problems arising when users apply for the use of devices. The emergence of digital twin has brought a turning point for the recommended device of data center networking. In this paper, a unique intelligent device recommendation model is proposed by evaluating the status of existing inventory device and constructing accurate digital mapping of network elements and their topology in real time with the help of digital twin technology. A prototype model is deployed on an existing device management system to analyze the system and its performance. It can be concluded from the experimental analysis that the performance of our proposed model applying in device management system is better than that of the traditional ones. Finally, as the proposed solution ensures the transparency and traceability of the system, it not only provides a reference for optimization procurement decisions, but also strongly promotes smart city construction from the field of data centers.