Non-intrusive fine-grained power monitoring of datacenters

A system comprising:

• a datacenter comprising a main power supply and a plurality of servers, wherein the plurality of servers comprise multiple hardware components;
• a datacenter power data collector connected to the main power supply of the datacenter and configured to determine an aggregate power consumption of the plurality of servers in the datacenter;
• a component state collector connected to the plurality of servers and configured to retrieve component state information for the multiple hardware components from the plurality of servers;
• a power estimator configured to:
• receive and analyze data from the datacenter power data collector and the component state collector,
• update a power model comprising one or more power mapping functions based on the analysis of the data from the datacenter power data collector and the component state collector, and
• use the one or more power mapping functions to determine an approximate power consumption of one or more of the plurality of servers;
• and
• a display device connected to the power consumption estimator and configured to display the approximate power consumption of the one or more of the plurality of servers determined by the power consumption estimator.

One or more computer-readable media storing computer-executable instructions for causing one or more processors, when programmed thereby, to perform operations comprising:

• identifying multiple virtual homogenous clusters of servers (VHCs) in a datacenter;
• creating a training dataset by:
• collecting component state information comprising hardware component utilization metrics for the servers in the datacenter at multiple times,
• collecting aggregate power consumption readings for the datacenter at multiple times by accessing an interface to a main power supply of the datacenter, and
• associating the collected component state information with the collected aggregate power consumption readings based on corresponding collection times;
• using the training dataset to create multiple power model functions associated with the multiple VHCs;
• receiving a component state vector for a server in the datacenter comprising hardware component utilization metrics for the server at a particular time;
• determining an aggregate power consumption for the datacenter at the particular time by accessing the interface to the main power supply of the datacenter;
• identifying a VHC, of the multiple VHCs, to which the server belongs;
• determining an estimated power consumption of the server using a power mapping function, of the multiple power mapping functions, associated with the identified VHC, the received component state vector, and the determined aggregate power consumption for the datacenter;
• and
• providing the estimated power consumption of the server to one or more datacenter power management applications.