Apple Inc.

Amit K Vyas

Abhinav Pathak

Anand Ramadurai

Albert S Liu

Justin N Wood

Conor J O'Reilly

Daniel Ben Pollack

Ray Ling Chang

Rohit Mundra

Lee Russell

Drew A Schmitt

Patrick L Coffman

John Joseph Iarocci

Joshua V Graessley

Jonathan Jay Andrews

David S Choi

Anthony R Newnam

Gaurav Kapoor

Matthew Elliot Shepherd

David Michael Chan

Anca Andreea Chandra

Kit-Man Wan

Matthew Scott Klahn

Phillip Stanley-Marbell

David B Myszewski

Anshul Dawra

Tianhe Wu

Brittany D Hughes

Yue Li

Prajakta S Karandikar

Sanket V Bedare

Chaohao Wang

Paolo Sacchetto

Jean-Pierre Simon Guillou

Madhusudan Chaudhary

Marc Jason Krochmal

Patrick Y Law

Andrew H Vyrros

Arthur L Spence

Franco Travostino

Mohammad Ali Jangda

Yifan Zhang

Michael S Ferris

Christopher Edward Glazowski

Paul M Thompson

Matthew William Massicotte

Cherif Jazra

Olivier Mardinian

Darren S Litzinger

Kevin C Milden

Tong Liu

Henri S Berger

Roberto Alvarez

Stephen C Peters

Daniel D Schucker

Daniel M Vinegrad

Steven Douglas Parker

Shashi K Dua

Udaykumar R Raval

Sathish K Narayanaswamy

Daniel Lertpratchya

Matthew Smith

Andrew M Matuschak

Vividh Siddha

Christopher W Chaney

Aditya Bhushan

Hina Dixit

Eisuke Arai

Eduardo Sanchez

Andrew C Lam

Vladislav Sahnovich

Naveen Nalam

Daniel J Etter

Andreas C Bergen

Soren C Spies

Christopher R D'Angelo

Scott C Tooker

Hari Gorak

Sean Shi

Craig Michael Federighi

Longda Xing

Sree Ram Kodali

Kapil Chhabra

Nicholas D Felton

Keith Walter Rauenbuehler

Tito Thomas

Russell Alexader Blaine

Padmavathy Bhooma

Vincent Lubet

Karen A Crippes

Anthony J Chivetta

Brian K Tearse-Doyle

Han Ming Ong

Phillip J Azar

Ashish Patro

Matthew C Widmann

Vincent B Yeh

Steve Brashear

Ritika Kalia

Steve Parker

Embodiments of the present disclosure include methods and systems for generating and processing energy consumption reports received from a plurality of devices. The reports may include a plurality of call stacks captured and stored by remote device as a result of an energy consumption of the corresponding device. For each energy consumption report, the plurality of call stacks may be analyzed to determine a representative call stack of the energy consumption report. The energy consumption reports may be assigned to one or more of a plurality of energy consumption categories based on distances between the representative call stacks of the energy consumption reports and corresponding representative call stacks of the energy consumption categories. A request may be received for energy consumption reports for a particular energy consumption category. Upon receiving the request, providing a representative set of energy consumption reports assigned to the particular energy consumption category.

Detection and analysis of energy consumption of software applications

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.

Logging techniques for third party application data

In some embodiments, an electronic device displays one or more representations of power usage of the electronic device, including across various periods of time and subperiods of time within those periods. In some embodiments, the displayed information reflects power usage both for periods of the display being on and periods of the display being off. In some embodiments, the displayed information includes power usage attributed to various mobile applications running on the electronic device. In some embodiments, the electronic device displays recommendations to reduce the usage of power by the electronic device, which a user has the option of applying. In some embodiments, the electronic device displays prose insight into power usage, indicating causes of the power usage.

User interfaces for indicating battery information on an electronic device

An electronic device having a user interface for displaying battery usage of the device over a given time period. Suggestions to improve device battery life are displayed along with usage when battery savings suggestions criteria are met.

Battery usage tracking user interface

Visualization techniques for third party application data

Techniques are disclosed performing a power logging in a computer system at a sub-process level. An exemplary method includes an operating system of the computer system determining process information indicative of which sub-portions of one or more processes are running on the computer system at different points in time, as well as may determining power information for the computer system at different points in time. The operating system may the create, from the process information and the power information, a power log indicative of power usage of sub-portions of processes at a plurality of points in time. The power logging may extend to both core and non-core resources of the system. For non-core resources, the power usage may be estimated in some cases based on the type of non-core resource being called as well as parameters passed to the non-core resource.

Microprocessor power logging at a sub-process level

Circuits, methods, and apparatus that may estimate the power being consumed by an OLED display screen of an electronic device, may provide further information about that power usage, may modify or change functions performed by the electronic device based on that power usage, and may inform an application's developer about the amount of power being used by the electronic device while the electronic device is running the application. One example may estimate the power being used by an OLED display screen of an electronic device by determining the content of images being displayed during a duration. The estimated power may then be presented to a user. The estimated power may be used in decisions to modify or change parameters of the screen or other device components.

Graphically providing OLED display power modeling

In some implementations, a mobile device can be configured to monitor environmental, system and user events. The occurrence of one or more events can trigger adjustments to system settings. In some implementations, the mobile device can be configured to keep frequently invoked applications up to date based on a forecast of predicted invocations by the user. In some implementations, the mobile device can receive push notifications associated with applications that indicate that new content is available for the applications to download. The mobile device can launch the applications associated with the push notifications in the background and download the new content. In some implementations, before running an application or accessing a network interface, the mobile device can be configured to check energy and data budgets and environmental conditions of the mobile device to preserve a high quality user experience.

Initiating background updates based on user activity

Clustering techniques for third party application data

Some embodiments of the invention provide a novel architecture for debugging devices. This architecture includes numerous devices that without user intervention automatically detect and report bug events to a set of servers that aggregate and process the bug events. When a device detects a potential bug event, the device in some embodiments generates a description of the potential bug event, and sends the generated description to the server set through a network. In addition to generating such a description, the device in some embodiments directs one or more of its modules to gather and store a collection of one or more data sets that are relevant to the potential bug event, in case the event has to be further analyzed by the server set. In the discussion below, the generated bug-event description is referred to as the event signature, while the gathered collection of data sets for an event is referred to as the event's data archive. The server set aggregates and processes the bug-event signatures that it receives from the various devices. For only a subset of the reported bug-event signatures, the server set then directs the devices that sent these signatures to also send the data archives that these devices have gathered and stored for the events associated with these signatures. These data archives can be further analyzed to identify the root causes of the bug events.

Auto bug capture

OLED display power modeling

A portable electronic device having a user interface for displaying battery usage of the device over a given time period, with the battery usage from various subsystems. The various subsystems including at least one hardware subsystem and the battery usage attributed to a plurality of software applications based on activity of the plurality of software applications, while battery usage of the various subsystems was monitored.

Growing community of inventors

San Jose, CA, United States of America

Amit K Vyas