Peak power modeling for data center servers with switched-mode power supplies

Accurately modeling server power consumption is critical in de-signing data center power provisioning infrastructure. However, to date, most research proposals have used average CPU utiliza-tion to infer the power consumption of clusters, typically averaging over tens of minutes per observation. We demonstrate that average CPU utilization is not sufficient to predict peak power consumption accurately. By characterizing the relationship between server uti-lization and power supply behavior, we can more accurately model the actual peak power consumption. Finally, we introduce a new operating system metric that can capture the needed information to design for peak power with low overhead