Phillip J Azar

US Patent:

20220229758, Jul 21, 2022

Filed:

Apr 4, 2022

Appl. No.:

17/713169

Inventors:

- Cupertino CA, US
Abhinav Pathak - Campbell CA, US
Anthony R. Newnam - Mountain View CA, US
Phillip J. Azar - Oakland CA, US
Ashish Patro - Mountain View CA, US
Prajakta S. Karandikar - Santa Clara CA, US
Daniel J. Etter - Mountian View CA, US
Conor J. O'Reilly - San Jose CA, US
Andreas C. Bergen - Cupertino CA, US
Nehal Bhandari - Mountain View CA, US
Jeffrey S. Lale - San Francisco CA, US
Andrew P. Sakai - San Jose CA, US
Terrence R. Long - San Jose CA, US
Soren C. Spies - San Jose CA, US

International Classification:

G06F 11/34
G06F 9/54
G06F 16/906
G06F 16/904
G06F 17/18
G06K 9/62
G06F 11/36

Abstract:

Embodiments of the present disclosure present devices, methods, and computer readable medium for techniques for measuring operational performance metrics, and presenting these metrics through an application programming interface (API) for developers to access for optimizing their applications. Exemplary metrics can include central processing unit or graphics processing unit time, foreground/background time, networking bytes (per application), location activity, display average picture luminance, cellular networking condition, peak memory, number of logical writes, launch and resume time, frame rates, and hang time. Regional markers can also be used to measure specific metrics for in application tasks. The techniques provide multiple user interfaces to help developers recognize the important metrics to optimize the performance of their applications. The data can be normalized over various different devices having different battery size, screen size, and processing requirements. The user interfaces can provide an intelligent method for visualizing performance changes for significant changes in application versions.

US Patent:

20200379878, Dec 3, 2020

Filed:

Oct 31, 2019

Appl. No.:

16/671093

Inventors:

- Cupertino CA, US
Abhinav Pathak - Campbell CA, US
Anthony R. Newnam - Mountain View CA, US
Phillip J. Azar - Oakland CA, US
Ashish Patro - Mountain View CA, US
Prajakta S. Karandikar - Santa Clara CA, US
Daniel J. Etter - Mountian View CA, US
Conor J. O'Reilly - San Jose CA, US
Andreas C. Bergen - Cupertino CA, US
Nehal Bhandari - Mountain View CA, US
Jeffrey S. Lale - San Francisco CA, US
Andrew P. Sakai - San Jose CA, US
Terrence R. Long - San Jose CA, US
Soren C. Spies - San Jose CA, US

International Classification:

G06F 11/36

Abstract:

Embodiments of the present disclosure present devices, methods, and computer readable medium for techniques for measuring operational performance metrics, and presenting these metrics through an application programming interface (API) for developers to access for optimizing their applications. Exemplary metrics can include central processing unit or graphics processing unit time, foreground/background time, networking bytes (per application), location activity, display average picture luminance, cellular networking condition, peak memory, number of logical writes, launch and resume time, frame rates, and hang time. Regional markers can also be used to measure specific metrics for in application tasks. The techniques provide multiple user interfaces to help developers recognize the important metrics to optimize the performance of their applications. The data can be normalized over various different devices having different battery size, screen size, and processing requirements. The user interfaces can provide an intelligent method for visualizing performance changes for significant changes in application versions.