Method and system for optimizing cooling resources in a data center based on workload prediction

A system for optimizing cooling resources in a data center based on workload prediction, comprising:

• a plurality of sensors, distributed across various sections of the data center;
• a data collecting module, connected to the plurality of sensors, for continuously collecting data in real-time from the plurality of sensors;
• a prediction module, connected to the data collecting module, for predicting future workload demands and corresponding cooling requirements over time and space in each section of the data center using historical and real-time collected data;
• a processing module, connected to the prediction module, for determining whether to allocate the predicted workload demand to a section that meets the corresponding cooling requirements or to adjust the cooling resources to achieve the required cooling levels, whichever results in more optimized energy usage;
• and
• a dynamic adjustment module, connected to the processing module, for dynamically adjusting the cooling resources in each section of the data center based on real-time and predicted workload demands over time to minimize energy consumption and operational costs, thereby ensuring optimal cooling without over-provisioning.