Data center total resource utilization efficiency (TRUE) system and method
Embodiments disclosed include methods and systems that adaptively, in real-time, evaluate data center performance, assess data center efficiency, data center sustainability, data center availability, compute performance, storage performance and provide data center customers with an overall data center performance rating, presented as a Total Resource Utilization Efficiency or TRUE score. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods. Other embodiments of the methods or systems include addition of newly defined metrics as categories or sub-categories to be used to calculate data center TRUE score.
1. A computer automated system configured to:
adaptively, in real-time, determine based on an operating condition of a power unit, a water unit, a compute system, a storage system, and a power management system housed in a data center facility, a Total Resource Utilization Efficiency (TRUE) of the data center facility;
based on the determined Total Resource Utilization Efficiency (TRUE), calibrate at least one of the power unit, the water unit, the compute system, the storage system, the power management system and the operating condition of the data center facility;
determining an environmental impact wherein in determining the environmental impact the computer automated system is further configured to:
aggregate a plurality of environmental impact variables comprising greenhouse gas (GHG) intensity, Carbon Intensity, Particle Matter Intensity, SO2/NOX intensity, based on a number of units produced per megawatt hour (MWh); and
determine a water treatment chemical intensity, based on the number of chemicals used annually at the data center for water treatment, calculated using a number of liters of chemicals used for water treatment per kilowatt hour (kWh) or L/kWh.
2. A computer automated system configured to:
adaptively, in real-time, determine based on an operating condition of a power unit, a water unit, a compute system, a storage system, and a power management system housed in a data center facility, a Total Resource Utilization Efficiency (TRUE) of the data center facility; and
based on the determined Total Resource Utilization Efficiency (TRUE), calibrate at least one of the power unit, the water unit, the compute system, the storage system, the power management system and the operating condition of the data center facility;
based on the determined real-time operating condition of the compute system, calibrate the compute system to operate at a load that allows maximum energy efficiency; and
wherein the calibrating is based on a pre-defined data management policy comprising determining data to retain and a retention period required for the retained data, and accordingly determining data to migrate to another compute system; and
wherein in calibrating the compute system, the computer automated system is further configured to optimize compute performance index which comprises a benchmark performance index multiplied by an average utilization per watt, the result of which is multiplied by 100.
3. A computer implemented method comprising:
adaptively, in real-time, determining based on an operating condition of a power unit, a water unit, a computer system, a storage system, and a power management system housed in a data center facility, a Total Resource Utilization Efficiency (TRUE) of the data center facility;
based on the determined Total Resource Utilization Efficiency (TRUE), calibrating at least one of the power unit, the water unit, the compute system, the storage system, the power management system and the operating condition of the data center facility;
wherein determining the Total Resource Utilization efficiency further comprises:
optimizing the power unit efficiency or power usage effectiveness (PUE) which comprises:
determining a total power requirement of the facility;
determining a total power requirement of the input-output system, the compute system and the storage system comprised in the facility;
determining a total area occupied by the facility;
aggregating the total power requirement of the input-output system, the compute system and the storage system; and
determining and displaying a result comprising the total power requirement divided by the aggregated total power requirement of the input-output system, the compute system and the storage system and further multiplied by the reciprocal of the determined total area occupied by the facility.
4. A computer implemented method comprising:
adaptively, in real-time, determining based on an operating condition of a power unit, a water unit, a computer system, a storage system, and a power management system housed in a data center facility, a Total Resource Utilization Efficiency (TRUE) of the data center facility;
based on the determined Total Resource Utilization Efficiency (TRUE), calibrating at least one of the power unit, the water unit, the compute system, the storage system, the power management system and the operating condition of the data center facility, and
determining an environmental impact based on a plurality of environmental impact variables comprising a greenhouse gas (CHG) intensity, a Carbon Intensity, a Particle Matter Intensity and an SO2/NOX intensity,
wherein, in determining the environmental impact, the method comprises:
aggregating the plurality of environmental impact variables comprising the greenhouse gas (GHG) intensity, the Carbon Intensity, the Particle Matter Intensity, and the SO2/NOX intensity, based on a number of units produced per megawatt hour (MWh); and
determining a water treatment chemical intensity, based on a number of units of chemicals used annually at the data center for water treatment, calculated using the number of units used for water treatment per megawatt hour (MWh).
5. A computer implemented method comprising:
adaptively, in real-time, determining based on an operating condition of a power unit, a water unit, a computer system, a storage system, and a power management system housed in a data center facility, a Total Resource Utilization Efficiency (TRUE) of the data center facility;
based on the determined Total Resource Utilization Efficiency (TRUE), calibrating at least one of the power unit, the water unit, the compute system, the storage system, the power management system and the operating condition of the data center facility; and
determining an environmental impact based on a plurality of environmental impact variables comprising at least one of a greenhouse gas (GHG) intensity, a Carbon Intensity, a Particle Matter Intensity and an SO2/NOX intensity wherein the method further comprises:
based on the determined real-time operating condition of the compute system, calibrating the compute system to operate at a load that allows maximum energy efficiency; and
wherein the calibrating is based on a pre-defined data management policy comprising determining data to retain and a retention period required for the retained data, and accordingly determining data to migrate to another compute system; and
wherein in calibrating the compute system, optimizing a compute performance index which comprises a benchmark performance index multiplied by an average utilization per watt, the result of which is multiplied by 100.