Digital Twin for Data Centers
The constant flux of IT configurations means that a data center’s design is never fixed. With inconsistent data, data-driven models will suffer. Consequently, past patterns do not necessarily map onto future ones and future behavior cannot be predicted based on past configurations.
For example, if a colocation provider moves a row of cabinets two cells to the left, this will completely change the data center environment. As a result, previous data will not help engineers to predict the future behavior of the facility once new cabinets are installed and the IT is switched on. This example, demonstrates a clear gap in the effectiveness of data-driven models – whilst they have been used successfully in the data center industry, they are still subject to many of the same shortcomings as human operators.
To fill these gaps, rather than using an exclusively data-driven model, data center digital twins are also physics-based, with the ability to simulate the performance of a new configuration. A physics-based digital twin consists of a full 3D representation of the data center space, architecture, mechanical and engineering systems, cooling, power connectivity, and the weight bearing capability of the raised floor. The data allows you to predict, visualize and quantify the impact of any change in your data center prior to implementation, empowering you to make decisions with confidence.
Article source: https://www.datacenterdynamics.com/opinions/does-your-data-center-need-digital-twin/