Techniques for power analysis

• US 9,116,897 B2
• Filed: 07/20/2010
• Issued: 08/25/2015
• Est. Priority Date: 07/20/2009
• Status: Active Grant

• Current Assignee: Schneider Electric IT Corporation (Schneider Electric SE)
• Original Assignee: Schneider Electric IT Corporation (Schneider Electric SE)
• Inventors: Rowan, Michael T., Rocca, Christopher, Anthony, Michael D., Matusiak, Adam, Henriksen, Michael, White, William, Guha, Aloke
• Primary Examiner(s): Zaman, Faisal M
• Application Number:
  US12/839,853
• Publication Number:
  US 20110016342A1
• Time in Patent Office: 1,862 Days
• Field of Search: 713300-340, 702 60- 62, 702/65
• US Class Current: 1/1
• CPC Class Codes: G06F 1/3203 Power management, i.e. event-based initiation of a power-saving mode
• CPC Class Codes: G06F 11/3006 where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems multiprogramming arrangements G06F9/46; allocation of resources G06F9/50
• CPC Class Codes: G06F 11/3062 where the monitored property is the power consumption power management in a computing system G06F1/3203
• CPC Class Codes: G06F 11/3096 wherein the means or processing minimize the use of computing system or of computing system component resources, e.g. non-intrusive monitoring which minimizes the probe effect: sniffing, intercepting, indirectly deriving the monitored data from other directly available data
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: Y04S 40/00 Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them

Abstract

Techniques for power analysis for data centers are disclosed. In one particular exemplary embodiment, the techniques may be realized as a method for power analysis for a plurality of computing platform components comprising receiving information associated with a component, retrieving, using a computer processor, electronically stored data associated with the component, estimating power usage of the component based at least in part on the stored data, and outputting an indicator of power usage.

Claims

1. A method for power analysis of a plurality of computing platform components, the method comprising:

discovering one or more logical elements associated with at least one physical component of the plurality of computing platform components, the one or more logical elements including at least one of an operating system component associated with the at least one physical component and a virtual machine associated with the at least one physical component;

executing, by a computer processor, a process for each physical component of the plurality of computing platform components, the process including;

receiving information associated with the physical component;

retrieving electronically stored data associated with the physical component, the data including at least power consumption data; and

estimating an estimated power usage of the physical component based at least in part on the stored power consumption data and any logical elements associated with the physical component;

aggregating the estimated power usage of each physical component of the plurality of computing platform components;

outputting an indicator of the estimated power usage of the plurality of computing platform components;

analyzing the estimated power usage of the plurality of computing platform components;

identifying one or more problems responsive to analyzing the estimated power usage of the plurality of computing platform components;

generating one or more suggestions to solve the identified one or more problems; and

identifying and illustrating the impact of the one or more suggestions.

2. The method of claim 1, wherein the physical component comprises at least one of a computer processor, electronic storage, and a networking component.

3. The method of claim 1, wherein aggregating the estimated power usage of each physical component includes aggregating the estimated power usage of each physical component included within a device, the device comprising at least one of a server, a network device, a host, and a storage device.

4. The method of claim 1, further comprising iterating through the process for a plurality of devices in a zone.

5. The method of claim 1, further comprising:

receiving one or more measurements associated with at least one physical component of the plurality of computing platform components; and

estimating power usage of the at least one physical component based at least in part on the one or more received measurements.

6. The method of claim 5, wherein receiving the one or more measurements comprises receiving at least one of a reading from a temperature sensor, a processor chip, a heat sink, a disk controller, a power supply, and a network component.

7. The method of claim 5, wherein receiving the one or more measurements comprises receiving at least one of CPU utilization, transaction rates, communication rates, configuration information, active processes, and a number of virtual machines.

8. The method of claim 1, further comprising estimating a thermal profile of at least one physical component of the plurality of computing platform components based at least in part on one or more of the estimated power usage of the physical component and one or more received measurements.

9. The method of claim 8, further comprising estimating an estimated power requirement based on the thermal profile.

10. The method of claim 9, wherein estimating the estimated power requirement based on the thermal profile comprises using the thermal profile to estimate a cooling cost.

11. The method of claim 8, wherein estimating the thermal profile includes estimating the thermal profile using Computational Fluid Dynamics.

12. The method of claim 1, further comprising receiving one or more measurements from at least one of a power distribution unit and a computer room air conditioner.

13. The method of claim 12, further comprising using the one or more measurements to estimate at least one of power usage and a thermal profile.

14. The method of claim 1, further comprising accepting input for an unrecognized component in the event electronically stored data associated with the unrecognized component is not retrieved.

15. The method of claim 1, wherein retrieving the electronically stored data associated with the physical component comprises retrieving the electronically stored data from a database of at least one of profiles of components, server arrays, computer room air conditioners, power distribution units, and data center physical infrastructure.

16. The method of claim 1, wherein generating the one or more suggestions includes generating the one or more suggestions based on at least one of an estimated power usage of at least one physical component of the plurality of computing platform components, an estimated power usage of the device, estimated power usage of a zone, an estimated power usage of a data center, a thermal profile of a zone, and a thermal profile of the data center.

17. The method of claim 16, wherein generating the one or more suggestions further includes generating one or more suggestions to include at least one of eliminating unutilized physical components, consolidating under-utilized physical components, upgrading inefficient physical components, rearranging physical components within a geographical location to improve a thermal profile, and redistributing a work load across physical components within the data center to improve the thermal profile of the data center.

18. At least one non-transitory processor readable storage medium for storing a computer program of instructions configured to be readable by at least one processor for instructing the at least one processor to execute a computer process for performing the method as recited in claim 1.

19. The method of claim 1, wherein receiving information associated with the physical component comprises discovering the physical component via a network interface.

20. The method of claim 19, wherein discovering the physical component via the network interface comprises using at least one of Simple Network Management Protocol (SNMP), Storage Management Initiative-Specification (SMI-S), Intelligent Platform Management Interface (IPMI), Windows Management Instrumentation (WMI), Secure Shell (SSH), BACNet, and ModBus.

21. The method of claim 19, wherein discovering the physical component via the network interface comprises discovery performed on a data center from a remote location.

22. The method of claim 1, further comprising estimating a thermal profile of at least one physical component of the plurality of computing platform components within a geographical location and wherein generating the one or more suggestions includes generating the one or more suggestions including at least one of eliminating one or more physical components, consolidating one or more physical components, upgrading one or more physical components, and rearranging one or more physical components within the geographical location to improve the thermal profile.

23. The method of claim 22, wherein the geographical location is a data center.

24. An article of manufacture for power analysis of a plurality of computing platform components, the article of manufacture comprising:

at least one non-transitory processor readable medium; and

instructions stored on the at least one non-transitory processor readable medium;

wherein the instructions are configured to be readable from the at least one medium by at least one processor and thereby cause the at least one processor to operate so as to;

discover one or more logical elements associated with at least one physical component of the plurality of computing platform components, the one or more logical elements including at least one of an operating system component associated with the at least one physical component and a virtual machine associated with the at least one physical component;

execute a process for each physical component of the plurality of computing platform components, the process including;

receiving information associated with the physical component;

retrieving electronically stored data associated with the physical component including at least power consumption data; and

estimating an estimated power usage of the physical component based at least in part on the stored power consumption data and any logical elements associated with the physical component;

aggregate the estimated power usage of each physical component of the plurality of computing platform components;

output an indicator of the estimated power usage of the plurality of computing platform components;

analyze the estimated power usage of the plurality of computing platform components;

identify one or more problems responsive to analyzing the estimated power usage of the plurality of computing platform components;

generate one or more suggestions to solve the identified one or more problems; and

identify and illustrating the impact of the one or more suggestions.

25. A system for power analysis of a plurality of computing platform components, the system comprising one or more processors communicatively coupled to a network, wherein the one or more processors are configured to:

discover one or more logical elements associated with at least one physical component of the plurality of computing platform components, the one or more logical elements including at least one of an operating system component associated with the at least one physical component and a virtual machine associated with the at least one physical component;

execute a process for each physical component of the plurality of computing platform components, the process being configured to at least;

receive information associated with the physical component;

retrieve electronically stored data associated with the physical component including at least power consumption data; and

estimate an estimated power usage of the physical component based at least in part on the stored power consumption data and any logical elements associated with the physical component;

aggregate the estimated power usage of each physical component of the plurality of computing platform components;

output an indicator of the estimated power usage of the plurality of computing platform components;

analyze the estimated power usage of the plurality of computing platform components;

identify one or more problems responsive to analyzing the estimated power usage of the plurality of computing platform components;

generate one or more suggestions to solve the identified one or more problems; and

identify and illustrate the impact of the one or more suggestions.