CN113127067B

CN113127067B - System resource configuration method, device, terminal and storage medium

Info

Publication number: CN113127067B
Application number: CN201911388662.XA
Authority: CN
Inventors: 梁仪权; 帅朝春; 戴堃
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2019-12-30
Filing date: 2019-12-30
Publication date: 2024-05-03
Anticipated expiration: 2039-12-30
Also published as: CN113127067A

Abstract

The embodiment of the application discloses a method, a device, a terminal and a storage medium for configuring system resources, belonging to the technical field of resource scheduling, wherein the method comprises the following steps: according to the embodiment of the application, the operation record of the target terminal is obtained, the operation record is used for indicating the operation received by the target terminal, the image template matched with the operation record is determined, the target configuration data corresponding to the image template is obtained, and then the target configuration data is used as the target terminal to configure system resources. According to the embodiment of the application, the image template matched with the operation record can be determined, and the system resource of the target terminal is configured according to the target configuration data corresponding to the image template, so that the system resource of the target terminal can accord with the operation habit of a user of the target terminal. Therefore, the performance of the use scene focused by the user is improved, the power consumption of the use scene which is not focused is reduced, the personalized setting of the system resources is realized, and the capability of the terminal for personalized configuration of the system resources is improved.

Description

System resource configuration method, device, terminal and storage medium

Technical Field

The embodiment of the application relates to the technical field of resource scheduling, in particular to a system resource configuration method, a system resource configuration device, a terminal and a storage medium.

Background

With the rapid development of related software and hardware technology of the mobile terminal, parameters are configured for an operating system of the mobile terminal, so that the mobile terminal can flexibly schedule system resources for configuration.

In some possible application modes, the configuration file for calling the system resource in the mobile terminal is preset in the mobile terminal in a unified way when leaving the factory. And the mobile terminal dispatches the hardware equipment in the mobile terminal to provide services for different application scenes under the instruction of the configuration file.

Disclosure of Invention

The embodiment of the application provides a system resource configuration method, a device, a terminal and a storage medium. The technical scheme is as follows:

according to an aspect of the present application, there is provided a method for configuring system resources, the method including:

Acquiring an operation record of a target terminal, wherein the operation record is used for indicating the operation received by the target terminal;

determining that the operation records match a portrayal template, the portrayal template being for indicating a user portrayal having a specified resource allocation requirement;

Determining target configuration data corresponding to the portrait template, wherein the target configuration data is used for configuring system resources for hardware equipment;

And configuring system resources for the target terminal according to the target configuration data.

According to another aspect of the present application, there is provided an apparatus for configuring system resources, the apparatus including:

The system comprises a record acquisition module, a record generation module and a record generation module, wherein the record acquisition module is used for acquiring an operation record of a target terminal, and the operation record is used for indicating the operation received by the target terminal;

A template determination module for determining a representation template matched with the operation record, wherein the representation template is used for indicating the representation of the user with the specified resource allocation requirement;

The configuration determining module is used for determining target configuration data corresponding to the portrait template, wherein the target configuration data is used for configuring system resources for hardware equipment;

and the resource allocation module is used for allocating system resources for the target terminal according to the target allocation data.

According to another aspect of the present application, there is provided a terminal, the terminal including a processor and a memory, the memory storing at least one instruction, the instruction being loaded and executed by the processor to implement a method for configuring system resources as provided by the implementation of the present application.

According to another aspect of the present application, there is provided a computer readable storage medium having stored therein at least one instruction that is loaded and executed by a processor to implement a method of configuring system resources as provided by an implementation of the present application.

The technical scheme provided by the embodiment of the application has the beneficial effects that:

The configuration method of the system resource provided by the embodiment of the application can acquire the operation record of the target terminal, the operation record is used for indicating the operation received by the target terminal, the image template matched with the operation record is determined, the target configuration data corresponding to the image template is acquired, and then the target configuration data is used as the target terminal to configure the system resource. According to the embodiment of the application, the image template matched with the operation record can be determined, and the system resource of the target terminal is configured according to the target configuration data corresponding to the image template, so that the system resource of the target terminal can accord with the operation habit of a user of the target terminal. Therefore, the performance of the use scene focused by the user is improved, the power consumption of the use scene which is not focused is reduced, the personalized setting of the system resources is realized, and the capability of the terminal for personalized configuration of the system resources is improved.

Drawings

In order to more clearly describe the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments of the present application will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.

Fig. 1 is a block diagram of a terminal according to an exemplary embodiment of the present application;

FIG. 2 is a flow chart of a method of configuring system resources provided by an exemplary embodiment of the present application;

FIG. 3 is a flow chart of a method for configuring system resources provided by another exemplary embodiment of the present application;

FIG. 4 is a schematic diagram of a process for obtaining a candidate image template according to an embodiment of the present application;

fig. 5 is a block diagram of a configuration apparatus of system resources according to an exemplary embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.

When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.

In the description of the present application, it should be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "connected," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art. Furthermore, in the description of the present application, unless otherwise indicated, "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

In order that the scheme shown in the embodiment of the present application can be easily understood, several terms appearing in the embodiment of the present application are described below.

Operation record: for recording a record generated by a user of the target terminal operating the target terminal. In one possible manner, the operation record is used to indicate the operation that the target terminal receives. In another possible manner, the operation record is used to indicate the associated data generated by the operation received by the target terminal.

Optionally, the data in the operation record can be classified into three data of power consumption behavior data, performance behavior data and public behavior data according to the aspects of system resource configuration.

In one possible approach, the power consumption behavior data is used to indicate an operation associated with energy consumption in the target terminal. It should be noted that the target terminal may be a mobile terminal. When the target terminal is a mobile terminal, the power consumption behavior data is used to indicate an operation in the target terminal related to consumption of energy used by the mobile terminal to operate. Alternatively, the energy source may be electrical energy. It should be noted that the energy source may be other energy sources capable of driving the target terminal to work, which is not limited in the embodiment of the present application.

Illustratively, the power consumption behavior data may include at least one of the following: a single charge duration, a charge start power, a charge end power, a number of low power per unit time, a power at the start of a low power mode, an accumulated power consumption maximum application, or an accumulated power consumption maximum hardware component. The meaning of each data is described below.

(1) Duration of single charge: for indicating a period of time between a time when the target terminal starts charging from the external power supply and a time when the external power supply stops charging. In one possible approach, the unit of the single charge duration may be defined as minutes. In another possible manner, the unit of the single charge duration may be defined as seconds. For example, when the target terminal starts to charge from 15:02:33 by an external power supply, and the target terminal no longer receives the power provided by the external power supply at 15:35:21, the single charging time is 32 minutes and 48 seconds. The data of the single charging duration may be plural, and each single charging duration is used to indicate the duration of one charging process.

(2) Initial charge amount: for indicating the remaining power of the target terminal at the start of one charging operation. Illustratively, the charge initiation amount may take a value of 0, 100.

(3) The charge end power is used for indicating the residual power of the target terminal at the end of one charge operation. Illustratively, the value interval of the charge end electric quantity may be [0,100].

(4) Low battery times per unit time: for indicating the number of times the power of the target terminal is below the low power threshold per unit time. The unit time may be a time period of a predetermined duration such as 12 hours, 24 hours, or 48 hours, or a longer time period such as 7 days, 15 days, or 30 days. The embodiment of the application does not limit the specific value of the unit time.

(5) And the low power mode is started and is used for indicating a low power threshold set by a user. Illustratively, the power may be a value of 25, 20, 15, etc., which is not limited in this embodiment of the present application.

(6) And the accumulated power consumption maximum value application is used for indicating the application with the highest accumulated power consumption in the target terminal in unit time. The application may be, illustratively, one application or a plurality of applications. When the application is one application, the accumulated power consumption maximum application is an application in which the accumulated power consumption is highest in the target terminal per unit time. When the applications are p applications, the cumulative power consumption maximum application is the first p highest applications that accumulate power consumption in the target terminal per unit time. For example, when the cumulative maximum power consumption is 3, it may be [ instant messaging application a, short video application B, and music application C ].

(7) And the accumulated power consumption maximum value hardware component is used for indicating the hardware component with the highest accumulated power consumption in the target terminal in unit time. The hardware component may be one hardware component or a plurality of hardware components. When the hardware component is p hardware components, the cumulative power consumption maximum hardware component is the first p hardware components having the highest cumulative power consumption in the target terminal per unit time. For example, when the number of the hardware components of the cumulative maximum power consumption is 3, it may be [ a central processing unit, a camera, and a satellite navigation chip ].

In another possible manner, the performance behavior data is used to indicate operations associated with system performance in the target terminal. The performance behavior data may be predetermined by the user in advance, and different performance behavior data have a direct influence on the performance of the terminal.

Illustratively, the performance behavior data may include at least one of the following: the method comprises the steps of one-key cleaning times, cold start time, hot start time, frame loss times, application types of frame loss, use time of each core of the CPU, CPU use percentage information, CPU temperature information and the like. The meaning of each data is described below.

(1) Number of one-key cleaning: for indicating the number of times the one-touch cleaning function of the terminal is used. Alternatively, for example, the terminal may trigger a one-touch cleaning function by clicking a cleaning icon in the multi-tasking interface. The terminal can trigger one-time one-key cleaning operation through preset operation. For example, when the terminal runs a specific application such as a game, the terminal may display a one-touch cleaning button upon receiving a specific operation, and perform one-touch cleaning operation once when the button is triggered.

(2) Cold start duration: for indicating the length of time it takes for a given application to cold start. The cold start is a mode of starting an application by which an operating system newly creates a process without a process of the application in a system background when the application is started. The cold start duration is used for indicating the duration required by the terminal to newly start a designated application, and reflects the duration required by the terminal to newly start the designated application.

(3) Hot start duration: for indicating the length of time it takes for a given application to be hot started. The hot start is to specify that when an application is started, the system background has the running of the application, and the operating system directly calls the starting mode of the running application. The hot start duration is used for indicating the duration required by the terminal to start a started appointed application, and reflects the duration required by the terminal to start the appointed application again.

(4) Number of frame loss: for indicating the number of dropped frames per second displayed in a given type of application. The number of frame losses is used to indicate the performance of the terminal in rendering images. The higher the number of dropped frames, the lower the performance of the terminal to process images for a given type of application. The lower the number of dropped frames, the higher the performance of the terminal to process graphics for the specified type of application.

Illustratively, the specified types of applications include, but are not limited to, video playback applications, shooting beautification applications, social communication applications, music station applications, utility applications, convenience life applications, online shopping applications, news reading applications, financial management applications, educational learning applications, traffic navigation applications, travel applications, system optimization applications, life entertainment applications, medical health applications, office applications, and the like.

(5) The application type of frame loss can be any one of the above specified types, or the application type of frame loss can also be other types of applications, which are not limited in the embodiment of the present application.

(6) The service time of each core of the CPU: for indicating the cumulative usage time of the multi-core CPU per unit time. The unit time may be a value of 12 hours, 24 hours, or 48 hours, which is not limited in the embodiment of the present application. For example, the CPU of the terminal has 8 cores, each of which is shown by the data in the use duration table one within 24 hours.

List one

Core(s)	0	1	2	3	4	5	6	7
									T(h)	18.4	12.2	11.8	12.6	17.9	5.6	6.4	6.2

In the data shown in Table one, the cores of the CPU are numbered from 0 to 7. Wherein core 0 and core 4 have the longest cumulative working time in 24 hours, 18.4 hours and 17.9 hours, respectively. Core 1, core 2 and core 3 accumulated working hours a second time in 24 hours, respectively 12.2 hours, 11.8 hours and 12.6 hours. Core 5, core 6 and core 7 have less cumulative working time in 24 hours, 5.6 hours, 6.4 hours and 6.2 hours respectively.

(7) The CPU uses percentage information: for indicating the percentage of usage of the CPU at the specified sampling instant. In a possible implementation manner, the terminal may collect the CPU usage percentage information every half an hour, and then in a period of 24 hours, the terminal will obtain data of 48 CPU usage percentage information. In other possible implementations, the terminal may also collect the CPU usage percentage information every 15 minutes, or every 1 hour, which is not limited by the embodiment of the present application.

(8) CPU temperature information: and the temperature value is used for indicating the CPU at the acquisition time. In a possible implementation manner, the terminal may collect the CPU temperature information once every 15 minutes, and then in a period of 24 hours, the terminal will obtain information of 96 pieces of CPU temperature information.

In one possible way, the common behavior data is used to indicate a behavior record other than the power consumption behavior data and the performance behavior data among the operation records in the terminal. In another expression, the public behavior data may also be user behavior data for representing an objective presence, the user being a user of the terminal.

Illustratively, the common behavioral data may include at least one of the following: running time, unlocking times, charging times, network type duty ratio, walking steps, sleeping time, memory use data, external memory use data, single use time or the number of installed applications. The meaning of each data is described below.

(1) Duration of operation: and the accumulated time length is used for indicating the terminal to be in the running state in unit time. Taking 24 hours as an example of a unit time, the operation duration may be an accumulated duration in which the terminal is in an operation state for 24 hours. The operation state may be, illustratively, a state in which the terminal is in an unlocked bright screen.

(2) Number of unlocking times: the method is used for indicating the number of times of responding to the unlocking instruction in the unit time. Illustratively, when the user passes the process of one-time unlocking verification, the terminal responds to the unlocking instruction to unlock the terminal. The user can unlock through fingerprint unlocking, password unlocking, face unlocking, iris unlocking or a combination of the unlocking modes. The embodiment of the application does not limit the unlocking mode.

(3) Number of charging: and the terminal is used for indicating the number of times of charging by connecting the power supply in unit time. Illustratively, when the terminal is connected to an external power source, the terminal records a charge when the terminal starts to obtain electric power from the external power source. In one possible manner, when the terminal continuously acquires electric energy from the external power supply for more than a predetermined time threshold, the terminal considers that the current charge is one-time effective charge, and records the current charge as one-time charge. Meanwhile, if the duration of continuously acquiring the electric energy from the external power supply does not exceed the preset time threshold, the terminal determines that the current charge is invalid charge, and does not record the current charge as one-time charge. Illustratively, the predetermined time threshold may be a value of 30 seconds, 60 seconds, or 120 seconds, which is not limited by embodiments of the present application.

(4) Network type ratio: the method is used for indicating the duty ratio of the network access mode adopted when the terminal accesses the network. The internet surfing mode can comprise at least one of Wi-Fi (English: WIRELESS FIDELITY, chinese: wireless Fidelity), a 5G New air interface (English: new Radio, abbreviated as NR), 4G (Chinese: fourth generation mobile information system), 3G (Chinese: third generation mobile information system) and 2G (Chinese: second generation mobile information system).

In one possible implementation, the network type duty cycle may be a duty cycle of the amount of data. For example, the data volume downloaded by the terminal from the network is 1000MB, wherein 500MB of data is downloaded by Wi-Fi, 300MB of data is downloaded by a new air interface of 5G, 100MB of data is downloaded by 4G, and 100MB of data is downloaded by 3G. In this scenario, [ Wi-Fi,5G new air interface, 4G,3G ] each has a network type ratio of [50%,30%,10%,10% ].

In another possible implementation, the network type duty cycle may be a long-in-use duty cycle. For example, the terminal uses the network for 10 hours in a unit time, wherein the Wi-Fi network is used for 4 hours, the 5G new air interface network is used for 3 hours, the 4G network is used for 2 hours, and the 3G network is used for 1 hour. In this scenario, [ Wi-Fi,5G new air interface, 4G,3G ] each has a network type ratio of [40%,30%,20%,10% ].

(5) Number of steps taken: for indicating the number of steps taken by the user of the terminal per unit time. It should be noted that the number of steps of walking is data calculated by the terminal through a step number statistical algorithm in combination with a motion sensor in the terminal, and there may be an error between the number of steps and the actual number of steps of the user.

(6) Sleep duration: for indicating the sleep time of the user of the terminal in a unit time. It should be noted that the sleep duration is data calculated by the terminal through a sleep duration statistical algorithm, and an error may exist between the sleep duration and the actual sleep duration of the user.

(7) Memory usage data: the indication of the use condition of the memory in the terminal may include a percentage of the use of the memory or a capacity size of the use of the memory. Illustratively, the memory usage data may be counted according to a preset counting period, for example, the counting period may be 1 hour, 2 hours, 6 hours, or 12 hours, which is not limited in the embodiment of the present application.

(8) And (5) storing use data: the use condition of the external storage used in the terminal may be indicated, and may include a percentage of the external storage or a capacity size of the external storage. Illustratively, the external usage data may be counted according to a preset counting period, for example, the counting period may be 1 hour, 2 hours, 6 hours, or 12 hours, which is not limited in the embodiment of the present application.

(9) A single use duration; for indicating the length of time the terminal starts from one unlocking until the next screen locking. Aiming at the statistics of the data, the terminal can count the single use duration in unit time. For example, the terminal may be provided with 85 uses within 24 hours, and the terminal may count the duration of each single use of the 85 uses of the terminal within 24 hours.

(10) Number of installed applications: for indicating the number of applications already installed in the terminal. In one possible statistical approach, the number of installed applications includes system applications and third party applications. In another possible statistical approach, the number of installed applications may include only third party applications.

An image template: the user portrait formed by a plurality of characteristics can be a user portrait which is automatically clustered from big data by a designated model through a machine learning algorithm. In the embodiment of the application, the portrait template is used for indicating users with the same terminal using habit. Based on the portrait template capable of reflecting the dynamic behavior of the user using the terminal, cloud service personnel can design a system resource scheduling method for the terminal in a targeted manner, and efficiency of the terminal in using the terminal is improved.

The cloud service personnel can configure corresponding target configuration data according to different portrait templates, and schedule resources in the terminal according to the target configuration data.

The method for configuring system resources, which is shown in the embodiment of the application, can be applied to a terminal, wherein the terminal is provided with a display screen and has a function of configuring system resources. The terminals may include a mobile phone, a tablet computer, a laptop computer, smart glasses, a smart watch, a digital camera, an MP4 (english: moving Picture Experts Group iv, chinese: moving picture experts group four) play terminal, an MP5 (english: moving Picture Experts Group v, chinese: moving picture experts group five) play terminal, a learning machine, a point reader, an electronic book, an electronic dictionary, a vehicle-mounted terminal, a Virtual Reality (VR) play terminal, an augmented Reality (Augmented Reality, AR) play terminal, or the like.

Fig. 1 is a block diagram of a terminal according to an exemplary embodiment of the present application, and as shown in fig. 1, the terminal includes a processor 120 and a memory 140, where at least one instruction is stored in the memory 140, and the instruction is loaded and executed by the processor 120 to implement a system resource configuration method according to various method embodiments of the present application.

In the present application, the terminal 100 is an electronic device having a function of configuring system resources. When the terminal 100 obtains the operation record of the target terminal, the terminal 100 can determine the image template matched with the operation record, determine the target configuration data corresponding to the image template, and configure system resources for the target terminal according to the target configuration data. The operation record is used for indicating the operation received by the target terminal, the portrait template is used for indicating the user portrait with the specified resource allocation requirement, and the target allocation data is used for allocating system resources for the hardware equipment.

Processor 120 may include one or more processing cores. The processor 120 connects various parts within the overall terminal 100 using various interfaces and lines, performs various functions of the terminal 100 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 140, and invoking data stored in the memory 140. Alternatively, the processor 120 may be implemented in at least one hardware form of digital signal Processing (DIGITAL SIGNAL Processing, DSP), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 120 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 120 and may be implemented by a single chip.

The Memory 140 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (ROM). Optionally, the memory 140 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 140 may be used to store instructions, programs, code sets, or instruction sets. The memory 140 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described below, etc.; the storage data area may store data and the like referred to in the following respective method embodiments.

In the course of technological development in the art, system resources in a mobile terminal are initially set in the mobile terminal with a fixed policy. For example, the mobile terminal is divided into a plurality of modes such as a flight mode, a vibration mode, a ringing mode, a do-not-disturb mode and the like, and different modes correspond to different system resource scheduling strategies. With the development of intelligent mobile terminals, the demands of applications in the intelligent mobile terminals for system resources are also greatly increasing. Because of the large number of applications in the intelligent mobile terminal, the operating system sets a white list for the specified applications in order to meet the requirements of the specified applications. When an application in the white list is started, the terminal can call the system resources according to a resource scheduling scheme designed for the application. For example, when a gaming application is started, the terminal will invoke system resources according to a resource scheduling scheme designed for the gaming application.

However, the habits of different users in the art for using smart mobile terminals are different. The application can determine the user portrait corresponding to the current operation habit of the user from the operation habit of the whole intelligent mobile terminal, confirm the corresponding target configuration data according to the user portrait, and further configure system resources for the target terminal. The method for configuring system resources according to the embodiment of the present application will be described below.

Referring to fig. 2, fig. 2 is a flowchart of a system resource configuration method according to an exemplary embodiment of the present application. The method for configuring system resources can be applied to the terminal shown in fig. 1. In fig. 2, the configuration method of the system resource includes:

step 210, obtaining an operation record of the target terminal, where the operation record is used to indicate an operation received by the target terminal.

In the embodiment of the application, the terminal can collect the operation record of the target terminal in the process of the target terminal running. In one possible manner, since the operation record of the target terminal relates to the privacy of the user, the embodiment of the application enables the user to know the operation habit of the user to be collected by the target terminal in a manner which is clearly known by the user so as to improve the efficiency of scheduling system resources by the target terminal.

Schematically, the operation records needed to be collected in the target terminal are more. In the embodiment of the application, the target terminal can store the operation record in a file, so that the operation record of the target terminal is acquired by reading the file. In a possible implementation manner, the target terminal can acquire the operation record in unit time. The unit time may be 48 hours, 24 hours, 12 hours, or the like. For the design of the unit time, the target terminal may be set in a period capable of reflecting the use of the terminal by the user. In another possible way, the terminal may set the start time of the statistics period as the start time of the user. In another possible manner, the terminal may confirm the specified time as the start time of the unit time of the user.

Step 220, determining an operation record matching portrayal template for indicating a user portrayal with a specified resource allocation requirement.

Illustratively, the target terminal is capable of determining the image templates for which the operation records match. In one possible approach, the target terminal can store the image template locally. For example, the server side clusters 580 portrayal templates in advance by big data, and if each portrayal template is about 1KB in size, the partial portrayal templates are stored locally in the target terminal in the form of a system file.

In another possible way, the target terminal will determine from the cloud an image template that the operation records match. As one possible implementation, the portrayal template may be a file that includes a specified number of dimensions of data. For example, if a representation template includes 210 dimensions, then the 210 dimension specific values are stored in the file. In the configuration of the application, the image template has corresponding system resource configuration data.

Step 230, determining target configuration data corresponding to the portrait template, wherein the target configuration data is used for configuring system resources for the hardware device.

In the embodiment of the application, the terminal can determine the target configuration data corresponding to the image template.

In one possible approach, the target configuration data is contained in configuration data, with one set of configuration data for one representation template. After the target terminal has determined the specified portrait template, the terminal will be able to determine target configuration data corresponding to the specified portrait template from the configuration data.

For storage locations of configuration data. In one possible way, the target terminal is able to store the target configuration data locally. In another possible manner, the target terminal can store the target configuration data in cloud. If the target configuration data is stored locally, the target terminal can acquire the target configuration data under the condition of network disconnection. If the target configuration data is stored in the cloud, the target terminal can save storage space and acquire the target configuration data when the target configuration data is needed.

Step 240, configuring system resources for the target terminal according to the target configuration data.

In the embodiment of the application, the terminal configures system resources for the target terminal according to the target configuration data. The target configuration data may include at least one auxiliary information of time information, location information, and application information. The target terminal will select a corresponding scheduling mode of the system resource from the target configuration data to schedule the system resource according to one of the current time (i.e. time information), the place (i.e. place information) or the opened application (i.e. application information).

In summary, the configuration method of system resources provided in this embodiment may obtain an operation record of a target terminal, where the operation record is used to instruct the target terminal to receive an operation, determine an image template matched with the operation record, obtain target configuration data corresponding to the image template, and then configure the system resources for the target terminal with the target configuration data. According to the embodiment of the application, the image template matched with the operation record can be determined, and the system resource of the target terminal is configured according to the target configuration data corresponding to the image template, so that the system resource of the target terminal can accord with the operation habit of a user of the target terminal. Therefore, the performance of the use scene focused by the user is improved, the power consumption of the use scene which is not focused is reduced, the personalized setting of the system resources is realized, and the capability of the terminal for personalized configuration of the system resources is improved.

Based on the scheme disclosed in the previous embodiment, the terminal can also obtain a plurality of portrait templates in advance by a clustering method, wherein the embodiment of the application can obtain a plurality of portrait templates in advance by analyzing big data comprising operation records of a plurality of users, please refer to the following embodiment.

Referring to fig. 3, fig. 3 is a flowchart illustrating a method for configuring system resources according to another exemplary embodiment of the present application. The method for configuring system resources can be applied to the terminal shown in fig. 1. In fig. 3, the method for configuring system resources includes:

step 311, obtaining sample operation records of q sample terminals.

In the embodiment of the application, the target terminal can acquire the sample operation records provided by q sample terminals. In one possible way, the sample operation record is an operation record of the corresponding sample terminal. The target terminal can obtain the data by encrypting the data. Alternatively, the sample operation record may be data that has been subjected to data desensitization and data cleansing to ensure that the sample operation record does not reveal the privacy of the sample terminal.

It should be noted that, if the sample operation record is data sent by the server, the sample operation record may be data provided by a sample terminal within a specified geographic range. For example, the sample terminal and the target terminal are located in the same geographic location, and the geographic location may be any geographic location such as province, city or country.

Illustratively, if the sample operational record is data sent by the server, the sample operational record may be data collected by the server for the last 3 days, the last 7 days, or the last 15 days. Since the sample operation record is data acquired in the last period, the data can reflect the characteristics generated by the operation of the last target terminal. Optionally, q is a positive integer, and the target terminal will obtain a sample operation record of a positive integer number of sample terminals.

Step 312, obtain N-class power consumption behavior data, M-class performance behavior data, and K-class public behavior data from the sample operation record.

Alternatively, the target terminal may perform normalization processing from the behavior data in the sample operation record. Among these, normalization methods include, but are not limited to, Z-score 0 mean normalization and Min-Max linear function normalization. The embodiment of the application does not limit the normalization method, and the method capable of realizing data normalization processing can be used as the normalization method set by the embodiment of the application.

In the embodiment of the application, N, M and K are natural numbers. Illustratively, the sample operational record may include a variety of behavioral data. Referring to table two, table two shows power consumption behavior data included in a sample operation record.

Watch II

In table two, the power consumption behavior data includes 6 behavior data in total of P1 to P6. The sample operation record provided by each sample terminal may include at least one of the power consumption behavior data of P1 to P6.

Referring to Table three, table three shows performance behavior data included in a sample operation record.

Watch III

In Table three, the performance behavior data includes a total of 6 behavior data from X1 to X6. The sample operation record provided by each sample terminal may include at least one of the performance behavior data from X1 to X6.

Referring to table four, table four shows common behavior data included in a sample operation record.

Table four

In table three, the performance behavior data includes 6 behavior data in total of S1 to S6. The sample operation record provided by each sample terminal may include at least one of the common behavior data in S1 to S6.

It should be noted that, the types of data included in the sample operation records shown in the tables two to four are only exemplary, and the types of data in the sample operation records obtained in the embodiments of the present application are not limited. On this basis, the target terminal can acquire a desired operation record from the sample operation records shown in the above tables two to four. In the embodiment of the present application, N, M and K are both set to 6 for convenience of explanation. It should be noted that the sample operation record includes one of the power consumption behavior data, the performance behavior data, and the common behavior data, or includes two of the power consumption behavior data, the performance behavior data, and the common behavior data. When the sample operation record does not include the above-specified behavior data, the kind of the behavior data takes a value of 0. For example, if the sample operation record does not include the public behavior data, the value of K is 0.

Step 313, according to a preset strategy, determining N kinds of target power consumption behavior data from N kinds of power consumption behavior data, determining M kinds of target performance behavior data from M kinds of performance behavior data, and determining K kinds of target public behavior data from K kinds of public behavior data.

In the embodiment of the application, N, M and K are natural numbers, N is greater than or equal to N, M is greater than or equal to M, and K is greater than or equal to K.

In one possible implementation, the preset strategy may be a scaled-down approach. For example, if n: m: k=3:5:2, and n is specified to be 3, then m is 5 and k is 2. The target terminal determines 3 kinds of target power consumption behavior data from N kinds of power consumption behavior data, determines 5 kinds of target performance behavior data from M kinds of performance behavior data, and determines 2 kinds of target public behavior data from K kinds of public behavior data.

In another possible implementation manner, the preset policy may be to specify a sum value of n+m+k, and determine n kinds of target power consumption behavior data, m kinds of target performance behavior data, and k kinds of target public behavior data according to a random extraction manner, so that the sum value of n+m+k is a specified numerical value.

And step 314, clustering Q sample operation records according to n kinds of target power consumption behavior data, m kinds of performance behavior data and k kinds of target public behavior data by a preset clustering algorithm to obtain Q candidate portrait templates.

In the embodiment of the application, Q is a positive integer greater than or equal to 2.

The preset clustering algorithm can be one of a K-Means clustering algorithm, a DBSCAN (English: density-Based Spatial Clustering of Applications with Noise, chinese: density-based noise application spatial clustering) algorithm or a Density maximum DPEAK algorithm. Illustratively, other clustering algorithms can be adopted in the embodiment of the application, and the algorithm for clustering data by taking the n-class target power consumption behavior data, the m-class performance behavior data and the k-class target common behavior data as 3 dimensions can be used as the preset clustering algorithm indicated in the embodiment of the application.

Illustratively, the q sample operation records may be q vectors including a specified dimension. And clustering the q sample operation records by the target terminal through a preset clustering algorithm.

The clustering algorithm is described as K-Means. In this example, the feature vector is selected as W.

Where w= { P1, P4, X1, S4, S2}.

In the feature vector W, P1 represents a single charge time period, P4 represents the number of times of low power per unit time, X1 represents the number of one-touch cleaning, and S4 represents the number of steps. The data are subjected to data desensitization, data cleaning and normalization.

The target terminals can be clustered using a K-Means algorithm. Setting an initial class center as d classes, and selecting d sample operation records as an initial clustering center. Wherein d is less than q. Taking the (q-d) other sample operation records as other samples of the clustering centers, and calculating Euclidean distances between the (q-d) other sample operation records and the d clustering centers. Schematically, the Euclidean distance is calculated as follows:

L_ij＝||x_i-μ_i||₂j∈{1，2，...，d}

where sample operation record x _i is one of (q-d) sample operation records, μ _j is one of d sample operation records, and L _ij represents the euclidean distance between x _i and μ _j.

Second, after obtaining each sample operation record x _i, the target terminal can assign the sample operation record x _i to a class corresponding to a cluster center. Optionally, the target terminal may mark the sample operation record x _i.

And thirdly, updating the clustering center after circularly processing all sample operation records x _i. In this step, the new cluster center fi may be the mean of the sample operation records x _i belonging to the same class. Alternatively, the calculation of fi may be as follows:

f_i＝argmin_{j∈(1,2,3,…,d)}L_ij

And fourthly, calculating a value E of the square error of the objective function.

Wherein,

And repeatedly executing the first step to the fourth step until the iterative calculation meets the stop condition. In one possible way, the number of iteration steps is 3, or the mean value of the new cluster center is essentially unchanged, or the least squares error min { E } is obtained. At this time, d clustering centers are d types of images with high similarity of behavior habit of the end user obtained in the evaluation standard, namely d candidate image templates are obtained by the clustering method. In the embodiment of the application, the clustering process is illustrated by taking the parameter d as an example, and d candidate image templates are finally obtained. By applying the same method, Q candidate image templates can be obtained according to the embodiment of the application.

In another possible implementation, steps 311 to 314 may be performed by a cloud server.

Step 320, obtaining an operation record of the target terminal.

In the embodiment of the present application, the execution process of step 320 is the same as the execution process of step 210, and will not be described here again.

Step 331, obtaining target operation data in the operation record.

The target feature data is operation data corresponding to a target class, and the target class is a class included in the portrait template.

In the embodiment of the present application, the step of acquiring the target operation data in the operation record may be alternatively implemented by performing at least one of the step (1), the step (2), or the step (3).

And (1) acquiring power consumption behavior data in an operation record, wherein the power consumption behavior data is used for indicating an operation associated with energy consumption in a target terminal.

And (2) acquiring performance behavior data in the operation record, wherein the performance behavior data is used for indicating the operation associated with the system performance in the target terminal.

And (3) acquiring common behavior data in the operation records, wherein the common behavior data are behavior records except for the power consumption behavior data and the performance behavior data in the operation records.

And step 332, obtaining the feature vector corresponding to the target category according to the target operation data.

Step 333, matching the feature vector with the candidate image template to determine the image template.

Wherein, the image template is the image template with the highest similarity with the feature vector in the candidate image templates.

Step 340, determining target configuration data corresponding to the portrait template.

In the embodiment of the present application, the execution process of step 340 is the same as the execution process of step 230, and will not be described here again.

And step 350, configuring system resources for the target terminal according to the target configuration data.

Referring to fig. 4, fig. 4 is a schematic diagram illustrating a process of obtaining a candidate image template according to an embodiment of the present application. In fig. 4, q sample operation records are included, and each sample operation record may include power consumption behavior data 410, performance behavior data 420, and common behavior data 430. The data collection module 440 is configured to collect Q sample operation records, and the data analysis module 450 is configured to perform clustering on the Q sample operation records, so as to obtain Q candidate portrait templates.

In fig. 4, the q sample operation records may include sample operation records of different users. Among them, a sample operation record 461, a sample operation record 462, and a sample operation record 463 may be included. In one possible manner, the 3 sample operation records are from 3 mutually different terminals. For example, the sample operation record 461 is a terminal from user jack, the sample operation record 462 is a terminal from user brown, and the sample operation record 463 is a terminal from marie. Illustratively, after the data analysis module in fig. 4 clusters the data, Q candidate portrayal templates are obtained. Among the Q candidate image templates, the candidate image templates are different from each other. Optionally, the Q candidate image templates include candidate image template 471, candidate image template 472, and candidate image template 473. For example, candidate representation template 471 is a college student group representation; the candidate image template 472 is a game burn friend representation; the candidate image template 473 is an office worker image.

In summary, in this embodiment, at least one of power consumption behavior data, performance behavior data and public behavior data may be extracted in advance according to sample operation records in a plurality of sample terminals, and a specified number of types of data may be extracted from the data according to a preset policy, so that Q sample operation records may be clustered according to n types of target power consumption behavior data, m types of performance behavior data and k types of target public behavior data by a preset clustering algorithm, to obtain Q candidate portrait templates. Therefore, after the operation record of the target terminal is obtained, the highest similarity between the target terminal and the candidate image templates can be determined, and finally, the target configuration data corresponding to the image templates is obtained, and the target terminal is configured according to the target configuration data. Therefore, after the behavior parameters of the target terminal related to the performance and the power consumption are collected, the target terminal is configured according to the most relevant configuration mode, the capability of configuring the system resources according to the habit of the user of the terminal is improved, the performance of the terminal in the aspect of the user interest is improved, and the power consumption of scenes which are not interested by the user is reduced. Under the condition that hardware is unchanged, the performance of the terminal adapting to the use habit of a user is improved as a whole.

The following are examples of the apparatus of the present application that may be used to perform the method embodiments of the present application. For details not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the method of the present application.

Referring to fig. 5, fig. 5 is a block diagram illustrating a configuration apparatus of system resources according to an exemplary embodiment of the present application. The configuration means of the system resources may be implemented as all or part of the terminal by software, hardware or a combination of both. The device comprises:

A record obtaining module 510, configured to obtain an operation record of a target terminal, where the operation record is used to indicate an operation received by the target terminal;

a template determination module 520 for determining a representation template for the operation records matching, the representation template being a representation of a user indicating a user having a specified resource allocation requirement;

A configuration determining module 530, configured to determine target configuration data corresponding to the portrait template, where the target configuration data is used to configure system resources for a hardware device;

a resource allocation module 540, configured to allocate system resources for the target terminal according to the target allocation data.

In an optional embodiment, the template determining module 520 is configured to obtain target operation data in the operation record, where the target feature data is operation data corresponding to a target class, and the target class is a class included in the portrait template; according to the target operation data, obtaining a feature vector corresponding to the target category; and according to the matching of the feature vector and the candidate image template, determining the image template, wherein the image template is the image template with the highest similarity with the feature vector in the candidate image template.

In an alternative embodiment, the template determining module 520 is configured to obtain power consumption behavior data in the operation record, where the power consumption behavior data is used to indicate an operation associated with energy consumption in the target terminal; and/or acquiring performance behavior data in the operation record, wherein the performance behavior data is used for indicating the operation associated with system performance in the target terminal; and/or, obtaining common behavior data in the operation records, wherein the common behavior data is a behavior record except for power consumption behavior data and performance behavior data in the operation records.

In an alternative embodiment, the apparatus further includes an execution module, configured to obtain a sample operation record of q sample terminals, where q is a positive integer; acquiring N types of power consumption behavior data, M types of performance behavior data and K types of public behavior data from the sample operation record, wherein N, M and K are natural numbers; according to a preset strategy, N kinds of target power consumption behavior data are determined from the N kinds of power consumption behavior data, M kinds of target performance behavior data are determined from the M kinds of performance behavior data, K kinds of target public behavior data are determined from the K kinds of public behavior data, N, M and K are natural numbers, N is greater than or equal to N, M is greater than or equal to M, and K is greater than or equal to K; and clustering Q sample operation records according to n types of target power consumption behavior data, m types of performance behavior data and k types of target public behavior data through a preset clustering algorithm to obtain Q candidate portrait templates, wherein Q is a positive integer greater than or equal to 2.

In an alternative embodiment, the power consumption behavior data referred to by the apparatus includes at least one of the following data: a single charge duration, a charge start power, a charge end power, a number of low power per unit time, a power at the start of a low power mode, an accumulated power consumption maximum application, or an accumulated power consumption maximum hardware component.

In an alternative embodiment, the performance behavior data to which the apparatus relates includes at least one of the following data: the method comprises the steps of one-key cleaning times, cold start time, hot start time, frame loss times, application types of frame loss, use time of a central processing unit core, use rate of the central processing unit or temperature information of the central processing unit.

In an alternative embodiment, the common behavioral data referred to by the apparatus includes at least one of the following data: running time, unlocking times, charging times, network type duty ratio, walking steps, sleeping time, memory use data, external memory use data, single use time or the number of installed applications.

Embodiments of the present application also provide a computer readable medium storing at least one instruction that is loaded and executed by the processor to implement the method for configuring system resources according to the above embodiments.

It should be noted that: the configuration device of system resources provided in the above embodiment only uses the division of the above functional modules to illustrate when executing the configuration method of system resources, in practical application, the above functional allocation may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the configuration device of the system resource and the configuration method embodiment of the system resource provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the configuration device of the system resource and the configuration method embodiment of the system resource are detailed in the method embodiment, and are not repeated here.

The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above embodiments are merely exemplary embodiments of the present application and are not intended to limit the present application, and any modifications, equivalent substitutions, improvements, etc. that fall within the spirit and principles of the present application should be included in the scope of the present application.

Claims

1. A method for configuring system resources, the method comprising:

Acquiring an operation record of a target terminal in unit time, wherein the operation record is used for indicating the operation received by the target terminal, and the unit time is set according to the period of using the terminal by a user;

determining target configuration data corresponding to the portrait template, wherein the target configuration data is used for configuring system resources for hardware equipment; the target configuration data comprises at least one auxiliary information of time information, place information and application information;

configuring system resources for the target terminal according to the target configuration data, including:

Selecting a scheduling mode of corresponding system resources from the target configuration data to schedule the system resources according to at least one of the current time, the current place or the opened application;

the time of the current location corresponds to the time information, the place of the current location corresponds to the place information, and the opened application corresponds to the application information.

2. The method of claim 1, wherein the determining that the operational record matches an portrait template comprises:

Acquiring target operation data in the operation record, wherein the target characteristic data is operation data corresponding to a target class, and the target class is a class included in the portrait template;

according to the target operation data, obtaining a feature vector corresponding to the target category;

And according to the matching of the feature vector and the candidate image template, determining the image template, wherein the image template is the image template with the highest similarity with the feature vector in the candidate image template.

3. The method of claim 2, wherein the obtaining the target operation data in the operation record comprises:

Acquiring power consumption behavior data in the operation record, wherein the power consumption behavior data is used for indicating an operation associated with energy consumption in the target terminal;

And/or the number of the groups of groups,

Acquiring performance behavior data in the operation record, wherein the performance behavior data is used for indicating operation associated with system performance in the target terminal;

And/or the number of the groups of groups,

And acquiring common behavior data in the operation records, wherein the common behavior data is a behavior record except for power consumption behavior data and performance behavior data in the operation records.

4. A method according to claim 3, characterized in that the method further comprises:

Acquiring sample operation records of q sample terminals, wherein q is a positive integer;

Acquiring N types of power consumption behavior data, M types of performance behavior data and K types of public behavior data from the sample operation record, wherein N, M and K are natural numbers;

According to a preset strategy, N kinds of target power consumption behavior data are determined from the N kinds of power consumption behavior data, M kinds of target performance behavior data are determined from the M kinds of performance behavior data, K kinds of target public behavior data are determined from the K kinds of public behavior data, N, M and K are natural numbers, N is greater than or equal to N, M is greater than or equal to M, and K is greater than or equal to K;

and clustering Q sample operation records according to n types of target power consumption behavior data, m types of performance behavior data and k types of target public behavior data through a preset clustering algorithm to obtain Q candidate portrait templates, wherein Q is a positive integer greater than or equal to 2.

5. The method of claim 3 or 4, wherein the power consumption behavior data comprises at least one of:

A single charge duration, a charge start power, a charge end power, a number of low power per unit time, a power at the start of a low power mode, an accumulated power consumption maximum application, or an accumulated power consumption maximum hardware component.

6. The method according to claim 3 or 4, wherein the performance behavior data comprises at least one of the following data:

the method comprises the steps of one-key cleaning times, cold start time, hot start time, frame loss times, application types of frame loss, use time of a central processing unit core, use rate of the central processing unit or temperature information of the central processing unit.

7. A method according to claim 3 or 4, wherein the common behavioural data comprises at least one of the following:

Running time, unlocking times, charging times, network type duty ratio, walking steps, sleeping time, memory use data, external memory use data, single use time or the number of installed applications.

8. An apparatus for configuring system resources, the apparatus comprising:

the system comprises a record acquisition module, a control module and a control module, wherein the record acquisition module is used for acquiring an operation record of a target terminal in unit time, the operation record is used for indicating the operation received by the target terminal, and the unit time is set according to the period of using the terminal by a user;

The configuration determining module is used for determining target configuration data corresponding to the portrait template, wherein the target configuration data is used for configuring system resources for hardware equipment; the target configuration data comprises at least one auxiliary information of time information, place information and application information;

The resource allocation module is configured to allocate system resources for the target terminal according to the target allocation data, and includes:

9. A terminal comprising a processor, and a memory coupled to the processor, and program instructions stored on the memory, the processor implementing a method of configuring system resources according to any one of claims 1 to 7 when the program instructions are executed by the processor.

10. A computer readable storage medium having stored therein program instructions, which when executed by a processor, implement a method of configuring a system resource as claimed in any one of claims 1 to 7.