Method and System for Computer Power and Resource Consumption Modeling

• US 20120053925A1
• Filed: 08/29/2011
• Published: 03/01/2012
• Est. Priority Date: 08/31/2010
• Status: Abandoned Application

• Current Assignee: Avocent Corporation (Vertiv Holdings Co.)
• Original Assignee: Avocent Corporation (Vertiv Holdings Co.)
• Inventors: Geffin, Steven, Folleco, Andres, Ransom, Michael
• Application Number:
  US13/220,613
• Publication Number:
  US 20120053925A1
• Time in Patent Office: Days
• US Class Current: 703/21
• CPC Class Codes: G06F 1/3206 Monitoring of events, devices or parameters that trigger a change in power modality
• CPC Class Codes: H05K 7/1498 Resource management, Optimisation arrangements, e.g. configuration, identification, tracking, physical location thermal management H05K7/20836

Abstract

Methods and systems are provided to precisely model the power consumption of both monolithic (physical) and virtual computing devices in near-real-time or real-time, allowing for precise prediction and classification of power and/or resource use and detection of anomalous power and/or resource utilization solely based on a system'"'"'s operational workloads.

Claims

1. A method in a data processing system for predicting future power consumption in computing systems, comprising:

receiving an indication of one or more computing devices to predict power for;

receiving one or more input parameters associated with the one or more computing devices;

automatically generating a prediction of the power consumption of the one or more computing devices over a future time interval; and

transmitting the generated prediction.

2. The method of claim 1, wherein further transmitting the generated prediction further comprises transmitting the generated prediction to one of:

(1) user and (2) a computer system.

3. The method of claim 1, further comprising displaying the provided power prediction to a user.

4. The method of claim 1, further comprising generating the status of the current power consumption of the one or more computing devices.

5. The method of claim 4, further comprising transmitting the status of the current power consumption of the one or more computing devices.

6. The method of claim 1, wherein generating the prediction further comprises generating a prediction of future heat dissipation of the one of more computing devices.

7. The method of claim 1, wherein generating the prediction further comprises generating a prediction of future cooling costs of the one of more computing devices based on the prediction of future heat dissipation of the one or more computing devices.

8. The method of claim 1, wherein generating the prediction further comprises generating a prediction of future gas emission of the one of more computing devices.

9. The method of claim 1, wherein generating the prediction further comprises generating a prediction of future cost of the one of more computing devices.

10. The method of claim 1, wherein generating the prediction further comprises generating a prediction associated with a user.

11. The method of claim 1, wherein the one or more input parameters comprise one or more of:

(1) a start date, (2) a time interval, (3) cost of power and (4) emission rates, (5) CPU utilization, and (6) memory utilization.

12. The method of claim 1, wherein the computing device comprises a virtual machine, and automatically generating comprises automatically generating a prediction of power consumption of the virtual machine.

13. The method of claim 1, further comprising automatically generating a prediction of future power consumption for one or more software applications on the one or more computing devices.

14. The method of claim 1, wherein the computing device is one of (1) server, (2) a storage drive, (3) a networking device, (4) an uninterruptible power supply (UPS), (5) a Power Distribution Unit (PDU), (6) a Computer Room Air Conditioner (CRAC), and (7) an HVAC device.

15. A data processing system for predicting future power consumption in computing systems, comprising:

a memory comprising instructions to cause a processor to;

receive an indication of one or more computing devices to predict power for;

receive one or more input parameters associated with the one or more computing devices;

automatically generate a prediction of the power consumption of the one or more computing devices over a future time interval; and

transmitting the generated prediction; and

the processor configured to execute the instructions in the memory.

16. The data processing system of claim 15, wherein transmitting the generated prediction further comprises transmitting the generated prediction to one of:

(1) a user and (2) a computer system.

17. The data processing system of claim 15, wherein the instructions further cause the processor to display the provided power prediction to the user.

18. The data processing system of claim 15, wherein the instructions further cause the processor to generate the status of the current power consumption of the one or more computing devices.

19. The data processing system of claim 18, wherein the instructions further cause the processor to transmit the status of the current power consumption of the one or more computing devices.

20. The data processing system of claim 15, wherein generating the prediction further comprises generating a prediction of future heat dissipation of the one of more computing devices.

21. The data processing system of claim 15, wherein generating the prediction further comprises generating a prediction of future cooling costs of the one of more computing devices based on the prediction of future heat dissipation of the one or more computing devices.

22. The data processing system of claim 15, wherein generating the prediction further comprises generating a prediction of future gas emission of the one of more computing devices.

23. The data processing system of claim 15, wherein generating the prediction further comprises generating a prediction of future cost of the one of more computing devices.

24. The data processing system of claim 15, wherein the one or more input parameters comprise one or more of:

(1) a start date, (2) a time interval, (3) cost of power and (4) emission rates, (5) CPU utilization, and (6) memory utilization.

25. The data processing system of claim 15, wherein the computing device comprises a virtual machine, and automatically generating comprises automatically generating a prediction of power consumption of the virtual machine.

26. The data processing system of claim 15, wherein the instructions further cause the processor to automatically generate a prediction of future power consumption for one or more software applications on the one or more computing devices.

27. The data processing system of claim 15, wherein generating the prediction further comprises generating a prediction associated with a user.

28. The data processing system of claim 15, wherein the computing device is one of:

(1) server, (2) a storage drive, (3) a networking device, (4) an uninterruptible power supply (UPS), (5) a Power Distribution Unit (PDU), (6) a Computer Room Air Conditioner (CRAC), and (7) an HVAC device.

29. A method in a data processing system for determining current power consumption and predicting future power consumption in computing systems, comprising:

receiving an indication of one or more computing devices to predict power for;

receiving one or more input parameters associated with the one or more computing devices;

automatically generating one of;

     1) a current status of the power consumption of the one or more computing devices, and

     2) a prediction of the power consumption of the one or more computing devices over a future time interval; and

transmitting the one of;

(1) the current status of the power consumption and (2) the generated prediction.

30. The method of claim 29, wherein transmitting the one of (1) the current status of the power consumption and (2) the generated prediction further comprises transmitting the generated prediction to one of:

(1) a user and (2) a computer system.

31. The method of claim 29, further comprising displaying the provided power prediction to the user.

32. The method of claim 29, wherein automatically generating further comprises generating one of:

(1) the current status of heat dissipation of one or more of the computing devices, and (2) generating a prediction of future heat dissipation of the one of more computing devices.

33. The method of claim 29, wherein automatically generating further comprises generating one of:

(1) the current status of gas emission of one or more of the computing devices, and (2) generating a prediction of future gas emission of the one of more computing devices.

34. The method of claim 29, wherein automatically generating further comprises generating one of:

(1) the current status of heat dissipation of one or more of the computing devices, and (2) generating a prediction of future heat dissipation of the one of more computing devices.

35. The method of claim 29, wherein automatically generating further comprises generating one of:

(1) the current status of cost of one or more of the computing devices, and (2) generating a prediction of future cost of the one of more computing devices.

36. The method of claim 29, wherein generating the prediction further comprises generating a prediction of future gas emission of the one of more computing devices.