Abstract
This disclosure describes techniques for proactively forecasting data center cooling capacity and cooling load(s) in order to anticipate and mitigate potential shortfalls in cooling capacity. Per techniques of this disclosure, a dynamic, forward-looking model of the thermal supply and demand for the data center is generated. The effective cooling capacity available at a data center for future periods is determined based on multi-day weather forecasts, equipment metadata, and historical power consumption patterns. Concurrently, the expected cooling load is estimated based on the computational workloads. When a potential risk is identified, mitigating actions are initiated. Such actions can include sending proactive signals to workload scheduling systems to shape computational workloads as well as alerting operations staff to avoid maintenance during high-risk periods, thereby preventing thermal excursions before they occur. Available cooling capacity can be adjusted between downstream infrastructure domains by a workload scheduling system that is executed within the infrastructure cluster domains.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
n/a, "Cooling-Aware Proactive Load Shaping in Data Centers", Technical Disclosure Commons, (October 24, 2025)
https://www.tdcommons.org/dpubs_series/8784