摘要:
This application provides a method for managing a resource in a computer system and a terminal device. The method includes: obtaining data, where the data includes application sequence feature data related to a current foreground application, and the data further includes at least one of the following real-time data: a system time of the computer system, current status data of the computer system, and current location data of the computer system; selecting, from a plurality of machine learning models based on at least one of the real-time data, a target machine learning model that matches the real-time data; inputting the obtained data into the target machine learning model to rank importance of a plurality of applications installed in the computer system; and performing resource management based on a result of the importance ranking.
摘要:
A route selection method and apparatus includes a first mesh node for selecting a route obtains energy consumption information of at least two second mesh nodes, where the second mesh node provides a route for the first mesh node; and the first mesh node selects a route according to the energy consumption information of the at least two second mesh nodes.
摘要:
A route selection method and apparatus includes a first mesh node for selecting a route obtains energy consumption information of at least two second mesh nodes, where the second mesh node provides a route for the first mesh node; and the first mesh node selects a route according to the energy consumption information of the at least two second mesh nodes.
摘要:
A method and related apparatus for restarting an application being closed because of insufficient memory are provided. The method includes storing application identifiers of the applications which are closed when the free memory of the system is insufficient into a target application list, then when determining the free memory of the system is greater than a preset threshold, automatically starting a process of at least one application indicating by the target application lists.
摘要:
Embodiments of the present disclosure describe a memory reclaiming method and a terminal. As discussed with respect to the embodiments described herein, the method may include determining, by a terminal according to a preset rule, a target application program in application programs run on a background, where the target application program is an application program that needs to be cleaned. The method may also include freezing, by the terminal, the target application program, and reclaiming data generated during running of a process of the target application program in memory. The method may also include unfreezing, by the terminal when receiving an input triggering instruction for the target application program, the target application program, and running the target application program.
摘要:
A remote access method and device are provided. The method includes acquiring, by a local area network terminal, information about accessible content on at least one online device in the local area network; aggregating, by the local area network terminal, the information about the accessible content on the at least one online device; and sending, by the local area network terminal, the aggregated information about the accessible content on the at least one online device to a remote client, so that the remote client presents the information about the accessible content on the at least one online device.
摘要:
A remote access method and device are provided. The method includes acquiring, by a local area network terminal, information about accessible content on at least one online device in the local area network; aggregating, by the local area network terminal, the information about the accessible content on the at least one online device; and sending, by the local area network terminal, the aggregated information about the accessible content on the at least one online device to a remote client, so that the remote client presents the information about the accessible content on the at least one online device.
摘要:
A multi-screen interaction method, devices, and system are provided. The method includes acquiring a first message from a first terminal device. The first message includes a first operation instruction and first state information. A second message is acquired from a second terminal device. The second message includes a second operation instruction. The method further includes searching, according to the second operation instruction, for an operation instruction that is matched with the second operation instruction, among stored operation instructions. A first control instruction is sent to the first terminal device and a second control instruction is sent to the second terminal device, if it is found that the second operation instruction is matched with the first operation instruction.
摘要:
A method for sharing media content, a terminal device, and a content sharing system are provided. A method for sharing media content may include: obtaining, by a first terminal device, M network addresses from the N second terminal devices; obtaining, based on the M network addresses, M pieces of media content from a content server, editing the M pieces of media content obtained from the content server to obtain first media content, and generating editing information according to an editing manner used when the first media content is obtained; sending the editing information to the content server; receiving a second network address sent by the content server; and publishing the second network address on a social networking server. The solutions of the embodiments of the present invention enhance flexibility of content sharing and user interactivity in a social networking service scenario.
摘要:
This application provides a method for managing a resource in a computer system and a terminal device. The method includes: obtaining data, where the data includes application sequence feature data related to a current foreground application, and the data further includes at least one of the following real-time data: a system time of the computer system, current status data of the computer system, and current location data of the computer system; selecting, from a plurality of machine learning models based on at least one of the real-time data, a target machine learning model that matches the real-time data; inputting the obtained data into the target machine learning model to rank importance of a plurality of applications installed in the computer system; and performing resource management based on a result of the importance ranking.