Optimization of power and computational density of a data center

Patent metadata

Field	Value
Publication number	US-10824533-B2
Application number	US-201916451877-A
Country	US
Kind code	B2
Filing date	Jun 25, 2019
Priority date	Aug 29, 2014
Publication date	Nov 3, 2020
Grant date	Nov 3, 2020

Abstract

Techniques for optimizing power and computational density of data centers are described. According to various embodiments, a benchmark test is performed by a computer data center system. Thereafter, transaction information and power consumption information associated with the performance of the benchmark test are accessed. A service efficiency metric value is then generated based on the transaction information and the power consumption information, the service efficiency metric value indicating a number of transactions executed via the computer data center system during a specific time period per unit of power consumed in executing the transactions during the specific time period. The generated service efficiency metric value is then compared to a target threshold value. Thereafter, a performance summary report indicating the generated service efficiency metric value, and indicating a result of the comparison of the generated service efficiency metric value to the target value, is generated.

First claim

What is claimed is:

1. A method comprising:
by a metrics generations module, determining a benchmark value of a service efficiency metric for a service object executing on a first configuration of computing components;
generating a target value of the service efficiency metric for the service object;
generating a comparison of the benchmark value of the service efficiency metric with the target value of the service efficiency metric; and
generating a performance summary report comprising the comparison of the benchmark value with the target value.

2. The method of claim 1 , further comprising generating an output of a recommendation to improve the service efficiency metric.

3. The method of claim 1 , wherein the service efficiency metric includes power consumption data.

4. The method of claim 1 , wherein the service efficiency metric includes a carbon generated data.

5. The method of claim 1 , further comprises sending the performance summary report to a client browser.

6. The method of claim 1 , wherein the performance summary report includes cost data.

7. The method of claim 1 , wherein the service object is a web server.

8. A system comprising:
a metrics generations module, using at least one processor of a machine, to
determine a benchmark value of a service efficiency metric for a service object executing on a first configuration of computing components;
generate a target value of the service efficiency metric for the service object;
generate a comparison of the benchmark value of the service efficiency metric with the target value of the service efficiency metric; and
generate a performance summary report comprising the comparison of the benchmark value with the target value.

9. The system of claim 8 , further comprising:
the metrics generations module to generate an output of a recommendation to improve the service efficiency metric.

10. The system of claim 8 , wherein the service efficiency metric includes power consumption data.

11. The system of claim 8 , wherein the service efficiency metric includes a carbon generated data.

12. The system of claim 8 , further comprising
the metrics generations module to send the performance summary report to a client browser.

13. The system of claim 8 , wherein the performance summary report includes cost data.

14. The system of claim 8 , wherein the service object is a web server.

15. A non-transitory computer-readable storage medium having stored thereon, instructions when executed by a processor, causes the processor to perform operations comprising:
determining a benchmark value of a service efficiency metric for a service object executing on a first configuration of computing components;
generating a target value of the service efficiency metric for the service object;
generating a comparison of the benchmark value of the service efficiency metric with the target value of the service efficiency metric; and
generating a performance summary report comprising the comparison of the benchmark value with the target value.

16. The non-transitory computer-readable storage medium of claim 15 , wherein the operations further comprise generating an output of a recommendation to improve the service efficiency metric.

17. The non-transitory computer-readable storage medium of claim 15 , wherein the service efficiency metric includes power consumption data.

18. The non-transitory computer-readable storage medium of claim 15 , wherein the service efficiency metric includes a carbon generated data.

19. The non-transitory computer-readable storage medium of claim 15 , wherein the operations further comprise sending the performance summary report to a client browser.

20. The non-transitory computer-readable storage medium of claim 15 , wherein the performance summary report includes cost data.

Assignees

• Ebay Inc

Inventors

• Rodriguez Jeremy
• Donaldson Ii Richard Henry
• Nelson Dean Harold
• De Vito Serena Anne
• Carter Braden
• Narancic Christopher

Classifications

• G06F11/3062

  where the monitored property is the power consumption (power management in a computing system G06F1/3203) · CPC title

• G06Q10/10

  Office automation; Time management · CPC title

• G06F2201/87

  Monitoring of transactions · CPC title

• G06F11/3006

  where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems (multiprogramming arrangements G06F9/46; allocation of resources G06F9/50) · CPC title

• G06F11/3428 Primary

  Benchmarking · CPC title