PROVIDING ENERGY CONSUMPTION ANALYTICS OF CLOUD BASED SERVICE

• US 20160091948A1
• Filed: 09/25/2014
• Published: 03/31/2016
• Est. Priority Date: 09/25/2014
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Mitchell, Kent, Moon, Carroll, Nikodym, Lou, Strader, Dan, McCrudy, Hollie
• Granted Patent: US 9,645,629 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 1/32 Means for saving power
• CPC Class Codes: G06F 1/3203 Power management, i.e. event-based initiation of a power-saving mode
• CPC Class Codes: G06F 1/3206 Monitoring of events, devices or parameters that trigger a change in power modality
• CPC Class Codes: G06F 11/3031 where the computing system component is a motherboard or an expansion card
• CPC Class Codes: G06F 11/3055 Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available error or fault processing without redundancy G06F11/0703; error detection or correction by redundancy in data representation G06F11/08; error detection or correction by redundancy in operation G06F11/14; error detection or correction by redundancy in hardware G06F11/16
• 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 2201/81 Threshold
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

Energy consumption analytics of a cloud based service is provided. An application such as a power analytics application monitors power consumption data of a server of the cloud based service. The power consumption data of the server is captured in a data file, a data store, a temporary storage, etc. The power consumption data is analyzed to detect power consumption metrics for the server. The power consumption metrics are presented in a business intelligence data structure.

Claims

1. A method executed on a computing device to provide energy consumption analytics of a cloud based service, the method comprising:

monitoring power consumption data of a server of the cloud based service;

capturing the power consumption data of the server;

analyzing the power consumption data to detect power consumption metrics of the server; and

presenting the power consumption metrics in a business intelligence data structure.

2. The method of claim 1, further comprising:

creating an operational group with the server and one or more peers based on a configuration of the server and the one or more peers sharing one or more common settings.

3. The method of claim 2, further comprising:

creating the operational group based on the one or more common settings that include a common role and a usage pattern based on a business purpose.

4. The method of claim 2, further comprising:

capturing and analyzing the power consumption data of the one or more peers to detect power consumption metrics for the one or more peers; and

presenting the power consumption metrics of the one or more peers with the power consumption metrics of the server in the business intelligence data structure.

5. The method of claim 2, further comprising:

computing an average power consumption of the operational group; and

comparing the power consumption metrics of the server to the average power consumption.

6. The method of claim 5, further comprising:

detecting the power consumption metrics of the server to exceed the average power consumption;

labeling the server as an outlier in the business intelligence data structure; and

generating an alert to inform a stakeholder of the cloud based service that a status of the server is one or more from a set of;

incorrectly configured and malfunctioning.

7. The method of claim 5, further comprising:

presenting the average power consumption as an optimal power consumption of the operational group in the business intelligence data structure; and

alerting a stakeholder of the cloud based service to configure a new asset associated with the operational group to conform to the optimal power consumption, wherein the new asset includes one or more from a set of;

a new server, a new component to be added to a member of the operational group, and a replacement component to be added to another member of the operational group.

8. The method of claim 2, further comprising:

analyzing the power consumption data of the operational group to detect an upper threshold for an optimal power consumption by the operational group.

9. The method of claim 8, further comprising:

detecting the power consumption metrics of the server to exceed the upper threshold; and

generating an alert to inform a stakeholder of the cloud based service that a status of the server is one or more from a set of;

overused, incorrectly configured, and malfunctioning.

10. The method of claim 2, further comprising:

analyzing the power consumption data of the operational group to detect a lower threshold for an optimal power consumption by the operational group.

11. The method of claim 10, further comprising:

detecting the power consumption metrics of the server to fall below the lower threshold; and

generating an alert to inform a stakeholder of the cloud based service that a status of the server is one or more from a set of;

underused, incorrectly configured, and malfunctioning.

12. A computing device to provide energy consumption analytics of a cloud based service, the computing device comprising:

a memory;

a processor coupled to the memory, the processor executing a power analytics application in conjunction with instructions stored in the memory, wherein the power analytics application is configured to;

create an operational group with a server of the cloud based service and one or more peers based on a configuration of the server and the one or more peers sharing one or more common settings;

monitor power consumption data of the server and the one or more peers;

capture the power consumption data of the server and the one or more peers;

analyze the power consumption data to detect power consumption metrics for the operational group; and

present the power consumption metrics in a business intelligence data structure.

13. The computing device of claim 12, wherein the power analytics application is further configured to:

analyze processor energy consumption associated with one or more processors of members of the operational group from the power consumption data.

14. The computing device of claim 13, wherein the power analytics application is further configured to:

generate a graph of the processor energy consumption of the server and the power consumption metrics of the server to show a relationship between the processor energy consumption of the server and the power consumption metrics of the server; and

add the graph to the business intelligence data structure.

15. The computing device of claim 13, wherein the power analytics application is further configured to:

generate a graph of the processor energy consumption of the server, the power consumption metrics of the server, the processor energy consumption of the one or more peers, and the power consumption metrics of the one or more peers to illustrate a comparison relationship between the server and the one or more peers; and

add the graph to the business intelligence data structure.

16. The computing device of claim 12, wherein the power analytics application is further configured to:

analyze a hard disk drive (HDD) energy consumption associated with one or more hard disks of members of the operational group from the power consumption data.

17. The computing device of claim 16, wherein the power analytics application is further configured to:

generate a graph of the HDD energy consumption of the server, the power consumption metrics of the server, the HDD energy consumption of the one or more peers, and the power consumption metrics of the one or more peers to illustrate a comparison relationship between the server and the one or more peers; and

add the graph to the business intelligence data structure.

18. A computer-readable memory device with instructions stored thereon to provide energy consumption analytics of a cloud based service, the instructions comprising:

creating an operational group with a server of the cloud based service and one or more peers based on a configuration of the server and the one or more peers sharing one or more common settings;

monitoring power consumption data of the server and the one or more peers;

capturing the power consumption data of the server and the one or more peers;

analyzing the power consumption data to detect power consumption metrics for the operational group; and

presenting the power consumption metrics in a business intelligence data structure.

19. The computer-readable memory device of claim 18, wherein the instructions further comprise:

receiving the power consumption data from one or more client detectors measuring power drawn in one or more components of the server and the one or more peers.

20. The computer-readable memory device of claim 18, wherein the instructions further comprise:

analyzing processor energy consumption associated with one or more processors of members of the operational group from the power consumption data;

generating a graph of the processor energy consumption of the server, the power consumption metrics of the server, the processor energy consumption of the one or more peers, and the power consumption metrics of the one or more metrics to illustrate a comparison relationship between the server and the one or more peers; and

adding the graph to the business intelligence data structure.