Abstract:
Computer-implemented methods, computer-readable media, and computer systems for managing power consumption in mobile devices are described. A mobile computer system executes a first computer application configured to receive data from a server system over a network, and a second computer application configured to periodically search for a connection to the network at a first time interval. In response to executing the second computer application, the mobile computer system determines that a strength of the connection is below a threshold strength. In response to determining that the strength of the connection is below the threshold strength, the mobile computer system executes the first computer application to delay requesting data from the server system until the connection to the network is detected.
Abstract:
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.
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.
Abstract:
Saving power by discarding unsolicited incoming packets received by a radio device in sleep mode. Unsolicited packets are detecting by comparing header attributes of incoming packets with a list of accepted attributes. Attributes are added to the list when a new socket pair is opened. If incoming packets are classified as unsolicited, the triggering of radio dormancy is adjusted based on the incoming packets.
Abstract:
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.
Abstract:
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.