ESTIMATION OF POWER CONSUMPTION OF INDIVIDUAL WEBSITES

• US 20170149633A1
• Filed: 11/25/2015
• Published: 05/25/2017
• Est. Priority Date: 11/25/2015
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Arulesan, Veluppillai, Hui, Shiu Wai, Chao, Stewart
• Granted Patent: US 10,044,576 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/302 where the computing system component is a software system
• 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 11/32 with visual or acoustical indication of the functioning of the machine
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3466 Performance evaluation by tracing or monitoring
• CPC Class Codes: G06F 11/348 Circuit details, i.e. tracer hardware
• CPC Class Codes: G06F 16/95 Retrieval from the web
• CPC Class Codes: G06F 2201/81 Threshold
• CPC Class Codes: G06F 2201/865 Monitoring of software
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04W 52/0254 detecting a user operation or a tactile contact or a motion of the device
• CPC Class Codes: H04W 72/0473 the resource being transmission power
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

An example method of estimating a power consumption of one or more websites includes receiving browser metrics from a browser hosted on a device. The browser metrics correspond with accessing a single website. The method also includes estimating a power consumption by the device while accessing the single website based on the browser metrics.

Claims

1. A method of estimating a power consumption of one or more websites, comprising:

receiving browser metrics from a browser hosted on a device, the browser metrics corresponding with accessing a single website; and

estimating a power consumption by the device while accessing the single website based on the browser metrics.

2. The method of claim 1, wherein estimating the power consumption is based at least on hardware metrics received from a hardware monitor.

3. The method of claim 2, wherein the hardware metrics include at least one of a process time of one or more CPUs, a CPU frequency of the one or more CPUs, GPU process time of one or more GPUs, statistics of a battery, and an amount of data downloaded to render a webpage corresponding with the accessing of the single website.

4. The method of claim 1, wherein the browser metrics include a number of client-side invocations on one or more rendered frames based on rendering a set of webpages, the number of client-side invocations corresponding with the accessing of the set of webpages.

5. The method of claim 4, wherein the client-side invocations are JavaScript invocations.

6. The method of claim 1, wherein the browser metrics include an average time cost of one or more client-side invocations on one or more rendered frames based on rendering a set of webpages, the average time cost corresponding with the accessing of the set of webpages.

7. The method of claim 6, wherein the client-side invocations are JavaScript invocations.

8. The method of claim 1, wherein the browser metrics include a number of main frame commits based on rendering a set of webpages, the number of main frame commits corresponding with the accessing of the set of webpages.

9. The method of claim 1, wherein the browser metrics include a number of compositing cycles triggered based on rendering a set of webpages, the number of compositing cycles corresponding with the accessing of the set of webpages.

10. The method of claim 1, wherein the browser metrics include an average time cost of compositing cycles based on rendering a set of webpages, the average time cost of compositing cycles corresponding with the accessing of the set of webpages.

11. The method of claim 1, wherein the browser metrics include a number of rendered request animation frame (rAF) elements based on rendering a set of webpages, the number of rAF elements corresponding with the accessing of the set of webpages.

12. The method of claim 1, wherein the browser metrics include a number of texture uploads generated based on rendering a set of webpages, the number of texture uploads corresponding with the accessing of the set of webpages.

13. The method of claim 1, wherein the browser metrics include at least one of an average time cost of main frame commits based on rendering a set of webpages, an average time cost of client-side invocations on one or more Web-worker threads based on rendering the set of webpages, network bandwidth required based on rendering the set of webpages, a number of image bytes to be decoded based on rendering the set of webpages, a number of rendered video elements based on rendering the set of webpages, a number of graphic layers created based on rendering the set of webpages, an average time cost of rasterization based on rendering the set of webpages, and a number of rendered animating elements based on rendering the set of webpages.

14. A system for estimating a power consumption of one or more websites, comprising:

a browser metrics module that receives browser metrics from a browser hosted on a device, wherein the browser metrics correspond with accessing a single website; and

a power consumption estimator that estimates a power consumption by the device while accessing the single website based on the browser metrics. 15, The system of claim 14, further comprising;

a hardware monitor that monitors hardware metrics of hardware coupled to the device, wherein the hardware metrics correspond with the accessing of the single website, and wherein the power consumption estimator further estimates the power consumption based on the hardware metrics.

16. The system of claim 14, wherein the device is a mobile device.

17. The system of claim 14, wherein the browser metrics include a number of client-side invocations on one or more rendered frames based on rendering a set of webpages, the number of client-side invocations corresponding with the accessing of the set of webpages.

18. The system of claim 14, wherein the browser metrics include a number of main frame commits based on rendering a set of webpages, the number of main frame commits corresponding with the accessing of the set of webpages.

19. The system of claim 14, wherein the browser metrics include a number of compositing cycles triggered based on rendering a set of webpages, the number of compositing cycles corresponding with the accessing of the set of webpages.

20. The system of claim 14, wherein the browser metrics module receives second browser metrics from the browser, wherein the second browser metrics is different from the first browser metrics and correspond with accessing a second website that is different from the single website, and wherein the power consumption estimator estimates a second power consumption by the device while accessing the second website based on the second browser metrics.