The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 08, 2023
Filed:
Apr. 04, 2022
Apple Inc., Cupertino, CA (US);
Amit K. Vyas, San Jose, CA (US);
Abhinav Pathak, Campbell, CA (US);
Anthony R. Newnam, Mountain View, CA (US);
Anshul Dawra, Campbell, CA (US);
Matthew Smith, San Francisco, CA (US);
Scott C. Tooker, Santa Clara, CA (US);
Tianhe Wu, Cupertino, CA (US);
Aditya Bhushan, Pittsburgh, PA (US);
Hina Dixit, San Jose, CA (US);
Conor O'Reilly, San Jose, CA (US);
Rohit Mundra, San Jose, CA (US);
Eduardo Sanchez, San Jose, CA (US);
Anca A. Chandra, Los Gatos, CA (US);
Yue Li, Cupertino, CA (US);
Apple Inc., Cupertino, CA (US);
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.