WO2019128546A1 - Application program processing method, electronic device, and computer readable storage medium - Google Patents

Abstract

An application program processing method, comprising: acquiring historical running data of each application program in an electronic device, and acquiring, according to the historical running data, user attribute information corresponding to a user using the electronic device; acquiring an average operation duration of the electronic device, and acquiring a user dependency degree according to the average running duration; acquiring a target application program according to the user attribute information, and acquiring a resource restriction policy according to the user dependency degree; and performing resource restriction processing on the target application program according to the resource restriction policy.

Description

Application processing method, electronic device, computer readable storage medium

Cross-reference to related applications

The present application claims priority to Chinese Patent Application No. 200911489113.2, entitled "Application Processing Method and Apparatus, Electronic Apparatus, Computer Readable Storage Medium", filed on December 29, 2017, the entire disclosure of which is incorporated herein by reference. The content is incorporated herein by reference.

Technical field

The present application relates to the field of computer technologies, and in particular, to an application processing method, an electronic device, and a computer readable storage medium.

Background technique

Smart devices can implement different application operations through applications, such as purchasing products through a shopping application, viewing videos through a video application, and the like. The smart device can perform resource restriction processing on the application, and the application that restricts the resource can only occupy a limited resource, and cannot use the resource of the device without restriction. The application can be frozen, the frozen application can no longer continue to run, does not occupy the processor resources in the smart device, reduces the power consumption of the smart device, and improves the smoothness of the foreground application. However, since the application still exists in the smart device, it also occupies resources such as memory and hardware in the smart device.

Summary of the invention

According to various embodiments of the present application, an application processing method, an electronic device, and a computer readable storage medium are provided.

An application processing method, including:

Obtaining historical running data of each application in the electronic device, and acquiring user attribute information corresponding to the user who uses the electronic device according to the historical running data;

Acquiring an average running time of the electronic device, and acquiring a user dependency degree according to the average running time length, where the average running time length indicates an average running time of the electronic device in a unit time length, and the user dependency degree is used to indicate a user pair The degree of dependence of the electronic device;

Obtaining a target application according to the user attribute information, and acquiring a resource restriction policy according to the user dependency degree; and

Performing resource restriction processing on the target application according to the resource restriction policy.

An electronic device includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following operations:

Obtaining historical running data of each application in the electronic device, and acquiring user attribute information corresponding to the user who uses the electronic device according to the historical running data;

Acquiring an average running time of the electronic device, and acquiring a user dependency degree according to the average running time length, where the average running time length indicates an average running time of the electronic device in a unit time length, and the user dependency degree is used to indicate a user pair The degree of dependence of the electronic device;

Obtaining a target application according to the user attribute information, and acquiring a resource restriction policy according to the user dependency degree; and

Performing resource restriction processing on the target application according to the resource restriction policy.

A computer readable storage medium having stored thereon a computer program, the computer program being executed by a processor to:

Obtaining historical running data of each application in the electronic device, and acquiring user attribute information corresponding to the user using the electronic device according to the historical running data;

Acquiring an average running time of the electronic device, and acquiring a user dependency degree according to the average running time length, where the average running time length indicates an average running time of the electronic device in a unit time length, and the user dependency degree is used to indicate a user pair The degree of dependence of the electronic device;

Obtaining a target application according to the user attribute information, and acquiring a resource restriction policy according to the user dependency degree; and

Performing resource restriction processing on the target application according to the resource restriction policy.

The application processing method, the electronic device, and the computer readable storage medium may acquire user attribute information according to historical operation data of each application in the electronic device, acquire a user dependent program according to an average running time of the electronic device, and obtain the user dependent program according to the degree of user dependence. Resource restriction strategy. The target application is then subjected to resource restriction processing according to the obtained resource restriction policy. In this way, according to the user's habit of using the electronic device, the operation of the application in the electronic device can be controlled, and different processes can be performed for different users, so that the electronic device can more accurately control the application and improve the user of the electronic device. Viscosity.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings to be used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present application, and other drawings can be obtained according to the drawings without any creative work for those skilled in the art.

FIG. 1 is a schematic diagram of an application environment of an application processing method in an embodiment.

2 is a schematic diagram showing the internal structure of an electronic device in an embodiment.

3 is a flow chart of an application processing method in one embodiment.

4 is a flow chart of an application processing method in another embodiment.

FIG. 5 is a schematic diagram of a resource restriction state of an application in an embodiment.

FIG. 6 is a partial structural diagram of an electronic device in an embodiment.

FIG. 7 is a schematic structural diagram of an application processing apparatus in an embodiment.

FIG. 8 is a schematic structural diagram of an application processing apparatus in another embodiment.

FIG. 9 is a block diagram showing a partial structure of a mobile phone related to an electronic device according to an embodiment of the present application.

Detailed ways

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

It will be understood that the terms "first", "second" and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, a first client may be referred to as a second client, and similarly, a second client may be referred to as a first client, without departing from the scope of the present application. Both the first client and the second client are clients, but they are not the same client.

FIG. 1 is a schematic diagram of an application environment of an application processing method in an embodiment. As shown in FIG. 1, the application environment includes a client 102 and a server 104. The application program can be installed on the client 102, and then the historical running data of each application is obtained, and the user attribute information corresponding to the user who uses the electronic device is obtained according to the historical running data; the average running time of the electronic device is obtained, and the user is obtained according to the average running time. The degree of dependence; obtaining the target application according to the user attribute information, and obtaining the resource restriction policy according to the degree of user dependency; and performing resource restriction processing on the target application according to the resource restriction policy. The server 104 can be used to push an application processing algorithm to the client 102, and the client 102 processes the application according to the application processing algorithm. The client 102 is an electronic device that is mainly used for inputting user information and outputting processing results at the outermost periphery of the computer network, and may be, for example, a personal computer, a mobile terminal, a personal digital assistant, a wearable electronic device, or the like. The server 104 is a device for providing a computing service in response to a service request, and may be, for example, one or more computers. It can be understood that, in other embodiments provided by the present application, the application environment of the application processing method may only include the client 102.

As shown in FIG. 2, a schematic diagram of an internal structure of an electronic device is provided. The electronic device includes a processor, memory, and display screen connected by a system bus. The processor is used to provide computing and control capabilities to support the operation of the entire electronic device. The memory is used to store data, programs, and/or instruction codes, etc., and the memory stores at least one computer program, which can be executed by the processor to implement an application processing method suitable for an electronic device provided in the embodiments of the present application. . The memory may include a non-volatile storage medium such as a magnetic disk, an optical disk, a read-only memory (ROM), or a random storage memory (Random-Access-Memory, RAM). For example, in one embodiment, the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The computer program can be executed by a processor for implementing an application processing method provided by various embodiments of the present application. The internal memory provides a cached operating environment for operating systems and computer programs in non-volatile storage media. The display screen can be a touch screen, such as a capacitive screen or an electronic screen, for displaying interface information of an application corresponding to the foreground process, and can also be used for detecting a touch operation acting on the display screen, and generating corresponding instructions, such as performing front and back Application switching instructions, etc.

A person skilled in the art can understand that the structure shown in FIG. 2 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the electronic device to which the solution of the present application is applied. The specific electronic device may be It includes more or fewer components than those shown in the figures, or some components are combined, or have different component arrangements. For example, the electronic device further includes a network interface connected through a system bus, and the network interface may be an Ethernet card or a wireless network card, etc., for communicating with an external electronic device, for example, for communicating with a server.

3 is a flow chart of an application processing method in one embodiment. The application processing method in this embodiment is described by using the terminal or server running in FIG. 1 as an example. As shown in FIG. 3, the application processing method includes operations 302 through 308. among them:

In operation 302, the historical running data of each application in the electronic device is acquired, and the user attribute information corresponding to the user who uses the electronic device is obtained according to the historical running data.

An application (Application) refers to a software written for an application purpose in an electronic device, and the electronic device can implement a service demanded by the user through an application. For example, users can play games through a game-like application, watch videos through a video-like application, and play music through a music-like application. Applications can be divided into foreground applications and background applications based on the state of the run. The foreground application refers to an application running in the foreground of the electronic device, and the foreground application can be displayed and interacted with the user in the foreground. A background application refers to an application that runs in the background of an electronic device. The background application generally cannot display and interact with the user in the foreground.

Generally, the application operation of the application is completed by one or more processes. The process is a running activity of the program in the computer on a certain data set, and is a basic unit for the system to perform resource allocation and scheduling. At the same time, a process can correspond to one or more threads. A thread is a single sequential control process in a program, and is a relatively independent, schedulable execution unit within a process. The process may include a foreground process and a background process, and the foreground process is a process running in the foreground of the electronic device, and the background process is a process running in the background of the electronic device. The electronic device can control the switching between the foreground process and the background process, and the foreground process can switch to the background operation, and the background process can also switch to the foreground operation. Specifically, the process can be managed by the process pool, and the process identifier corresponding to one or more processes can be stored in the process pool. The process ID is used to uniquely identify a process. The process pool may include a foreground process pool and a background process pool. The foreground process pool includes a process identifier corresponding to the foreground process, and the background process pool includes a process identifier corresponding to the background process. When it is detected that the running status of the foreground process and the background process changes, the process pool will add or delete the process ID that changes accordingly. For example, the process ID of process A is “0123”. When it is detected that process A changes from the background process to the foreground process, the process ID “0123” of process A can be removed from the background process pool and added to the foreground process. In the pool.

During the running of the application, the electronic device can record the data generated by the application. Historical running data is the data generated by the application during the historical running process before the current time. For example, the historical running data may include the amount of power consumed by the application to run between the installation and the current time, or the time each time the application runs, the application launch time, and the application close time. Historical running data can reflect the user's operating habits of the application, reflecting the characteristics of the user. According to the historical operation data, the characteristics of the user who uses the electronic device can be analyzed, and the user attribute information is obtained. The user attribute information is used to represent related attributes of the user, and may be, but is not limited to, information including user age, user occupation, user gender, and the like.

In operation 304, the average running time of the electronic device is obtained, and the degree of user dependence is obtained according to the average running time. The average running time indicates the duration of the average running time of the electronic device in the unit time length, and the degree of user dependence is used to indicate the degree of dependence of the user on the electronic device.

In one embodiment, the state of the electronic device can be divided into a standby state and an operating state. In the standby state, the electronic device does not perform any substantial operation on the file or the program, and only the electronic device can work on the file or The program handles it. The average running time indicates the length of time that the electronic device runs on the unit time. The unit time can be set in advance. For example, the average running time can be the average length of time that a statistical electronic device runs within a day, or can be the length of time that a statistical electronic device runs within an average of one month. Specifically, the electronic device records the work start time and the work end time each time entering the work state during the running process, and then calculates the work time length of each work according to the recorded work start time and the work end time.

When calculating the average running time, the running data of the electronic device during the statistical period can be obtained, and then the running time is calculated according to the running data. The statistical period refers to the time period used to calculate the average running time. The running data refers to the data generated by the electronic device during the running process, and may include the work start time and the work end time. According to the running data in the statistical period, the running time in each unit time in the statistical period can be calculated, and the average running time is calculated according to the running time in each unit length obtained. For example, if the current time is 15:30:00 on December 25, 2017, the statistical time period can be the operational data in the previous month, that is, from 15:30:00 on November 25, 2017 to December 25, 2017. The operating data of the electronic equipment within 15:30:00. Then calculate the running time of the day in the month based on the running data, and then average the running time of each day to get the average running time.

The degree of user dependency is used to indicate the degree of user dependence on the electronic device, and may be, but is not limited to, including the first level of dependency, the second level of dependency, and the third level of dependency. The correspondence between the average running time and the degree of user dependency is established in advance, and then the corresponding user dependent program is obtained according to the average running time. Among them, the degree of dependence of the first level is higher than that of the second level, and the degree of dependence of the second level is higher than that of the third level. Generally, the first level of dependency indicates the user's heavy dependence on the electronic device, the second level of dependence indicates the user's general dependence on the electronic device, and the third level of dependence indicates the user's slight dependence on the electronic device. For example, the average running time can be expressed as the average running time of the mobile phone every day. When the average running time of the user is more than 8 hours per day, the corresponding user dependency degree is the first level dependence; when the average user runs for 4 hours per day Between 8 hours, the corresponding user dependency degree is the second level dependency degree; when the average user running time is less than 4 hours per day, the corresponding user dependency degree is the third level dependency degree.

Operation 306: Obtain a target application according to user attribute information, and obtain a resource restriction policy according to the degree of user dependency.

The target application refers to an application that needs to perform resource limitation processing, pre-establishes a correspondence between the user attribute information and the target application, and then acquires a corresponding target application according to the user attribute information. The user attribute information is different, and the corresponding target application is different. For example, the user attribute information may be the gender of the user. When the user is a male, the corresponding target application is a game application; when the user is a female, the corresponding target application is a shopping application.

A resource restriction policy is a policy for performing resource restriction processing on a target application, and a corresponding relationship between a user dependency degree and a resource restriction policy is established in advance, and then a corresponding resource restriction policy is obtained according to the degree of user dependency. For example, when the degree of user dependency is the first level of dependency, when the target application runs in the foreground for more than 2 hours, the target application running in the foreground is frozen.

Operation 308, performing resource restriction processing on the target application according to the resource restriction policy.

A resource is a software or hardware resource that an electronic device must use to process an application event, such as a CPU (Central Processing Unit), memory, hardware, network resources, and IO (Input-Output). , input and output) and so on. Resource limit processing refers to the process of restricting the resources occupied by the application. The resource limit processing can be, but is not limited to, controlling the application to enter a frozen state or a resource restricted state, and the application in the frozen state is not closed, but is not temporarily running. When the application is frozen, the application does not consume processor resources, but still occupies resources such as memory and hardware of the electronic device. The resource limit state refers to the state in which the resources of the electronic device used by the application at runtime are restricted. For example, the CPU usage of the control application at runtime cannot exceed 5%.

In the above embodiment, the application processing method can obtain the user attribute information according to the historical running data of each application in the electronic device, obtain the user dependent program according to the average running time of the electronic device, and obtain the resource limiting policy according to the degree of user dependence. The target application is then subjected to resource restriction processing according to the obtained resource restriction policy. In this way, according to the user's habit of using the electronic device, the operation of the application in the electronic device can be controlled, and different processes can be performed for different users, so that the electronic device can more accurately control the application and improve the user of the electronic device. Viscosity.

4 is a flow chart of an application processing method in another embodiment. The application processing method in this embodiment is described by using the terminal or server running in FIG. 1 as an example. As shown in FIG. 4, the application processing method includes operations 402 through 418. among them:

Operation 402: Acquire historical running data of each application in the electronic device, and acquire user attribute information corresponding to the user who uses the electronic device according to the historical running data.

In the embodiments provided by the present application, the historical running data may refer to the power consumption and/or operating frequency of each application. Power consumption is the amount of power consumed by an application during its historical operation. The operation 402 may specifically include: acquiring power consumption of each application in the electronic device, acquiring a power consumption application according to the power consumption, and acquiring user attribute information corresponding to the user using the electronic device according to the power consumption application. The higher the power consumption of the application, the more frequently the user uses the application, and the user's usage habits can be analyzed based on the power consumption of the application.

Specifically, acquiring the power consumption application according to the power consumption may include at least one of the following methods: acquiring an application that consumes more power than the power threshold, as a power consumption application; sorting the application according to power consumption, and Get the specified number of applications in the sorted application as a power-consuming application. The power threshold can be set in advance by the user or the system, the application that consumes more power than the power threshold, is considered to be the most frequently used application by the user, and then analyzes the user attribute information according to the application most frequently used by the user. It is also possible to sort each application according to the power consumption, and then obtain the specified number of applications in the sorted application as a power-consuming application, and the application that obtains the specified number of digits can be regarded as the most frequently used application. program. For example, each application is sorted in descending order of power consumption, and then the top three applications of the sorted application are obtained as power-consuming applications. When the current three applications are "his shopping", "sou shopping", "lirg shopping", the electronic device can be considered as a female user.

During the operation of the electronic device, the power consumption of each application is counted. The longer the running time of the general application, the higher the resource occupancy rate and the higher the power consumption. For example, in the Android system, there is a Service (service) dedicated to statistical power in the framework layer: BatteryStatsSerive. The BatteryStatsSerive service can be created in the ActivityManagerService. The ActivityManagerService stores the data of each module in the electronic device into the system catalog batterystats.bin file, and then analyzes the power data through the data analyzer BatteryStatsImpl, thereby realizing the statistics of power consumption.

The running frequency can refer to the number of times the application runs within the unit time period, or the average length of time the application runs within the unit time. The operation 402 may specifically include: acquiring an operating frequency of each application in the electronic device, acquiring a frequency application according to the operating frequency, and using user attribute information corresponding to the user of the electronic device according to the frequency application. The higher the application's running frequency, the higher the user's frequency of use of the application, and the user's usage habits can be analyzed according to the running frequency of the application.

Specifically, acquiring the frequency application according to the operating frequency may include at least one of: acquiring an application whose operating frequency exceeds the frequency threshold as a frequency application; sorting the application according to the operating frequency, and sorting the application Get the specified number of applications in the application as a frequency application. The frequency threshold can be set in advance by the user or the system, the application running at a frequency higher than the frequency threshold is considered to be the most frequently used application by the user, and then the user attribute information is analyzed according to the application most frequently used by the user. It is also possible to sort each application according to the running frequency, and then obtain the specified number of applications in the sorted application as a power-consuming application, and the application that obtains the specified number of bits can be regarded as the most frequently used application. . For example, sort the application in descending order of running frequency, and then get the top three applications in the sorted application as a frequency application.

Operation 404, obtaining an average running time of the electronic device, and determining a target duration interval in which the average running time falls.

Operation 406, obtaining a corresponding degree of user dependency according to the target duration interval.

In an embodiment, the range of the average running time of the electronic device may be divided into two time intervals of two or more durations, and then the correspondence between each time interval and the degree of user dependence may be established, and then according to the corresponding relationship. To get the user dependence of the electronic device. For example, the unit time for calculating the average running time can be three days, then the average running time can be expressed as the average running time of the electronic device every three days, and the average running time ranges from 0 to 72 hours. The range of the average running time is divided into three time intervals, which can be divided into three time intervals of [0, 12], [12, 36], [36, 72], and the corresponding user dependence is first. Level dependency, second level dependency, and third level dependency. Assuming that the average running time of the currently counted electronic device is 24 hours, then the corresponding user dependency degree of the user is the second level of dependency.

Operation 408, obtaining a target application according to user attribute information.

In a real-time example, the target application can be stored through a list of target applications that contain one or more application identities that require the target application. Each target application list corresponds to a target list identifier, a correspondence between the pre-user attribute information and the target list identifier. After acquiring the user attribute information according to the historical running data, the electronic device may obtain the target list identifier according to the user attribute information, and obtain the target application according to the target application list corresponding to the target list identifier. For example, the user attribute information may include minors and adults, and the corresponding target list identifiers are “list_01” and “list_02”, respectively. When the electronic device identifies the user as a minor according to the historical running data, the corresponding target list identifier may be obtained as “list_01”, and the target application may be acquired according to the application identifier included in the target application list corresponding to “list_01”.

The target application list may be set by the user, or may be automatically generated by the electronic device system, or may be delivered by the server, and is not specifically limited in the present application. Specifically, the user may initiate a modification instruction to the target application list by using the electronic device, and the electronic device modifies the target application list according to the modification instruction. The modification instruction may include, but is not limited to, including an application identifier and corresponding modification information. Modifications can include actions such as adding, deleting, and replacing. For example, the user can select an application identifier through the electronic device interface, and then click the delete button to delete the application identifier from the target application list. The terminal may also send historical running data of each application to the server. After receiving the historical running data sent by the terminal, the server learns and analyzes the running data, generates a target application list according to the analysis result, and then pushes the target application list to the server. terminal.

Operation 410: Acquire a first resource restriction policy and a second resource restriction policy when the degree of user dependency is a first level dependency.

Obtain a corresponding resource restriction policy according to the degree of user dependency, and perform resource restriction processing on the target application according to the resource restriction policy. In the embodiment provided by the present application, the resource restriction policy is divided into a first resource restriction policy and a second resource restriction policy, where the first resource restriction policy refers to controlling the target application to enter the resource limitation state according to the foreground running time of the target application. The policy, the second resource restriction policy refers to a policy of controlling the target application to enter a frozen state according to the duration of the target application switching to the background. When the degree of user dependency is the first level of dependency, indicating that the frequency of use of the electronic device by the user is too high, the resource limitation processing may be performed on the foreground running and the background running of the target application.

In operation 412, when the degree of dependency of the user is the degree of dependence of the second level, the second resource restriction policy is acquired.

When the degree of user dependency is the second level of dependency, indicating that the frequency of use of the electronic device is normal, the background operation of the target application may be limited, that is, the second resource restriction policy is acquired, and the second resource restriction is adopted. Strategy.

Operation 414, performing resource restriction processing on the target application according to the first resource restriction policy, and/or performing resource restriction processing on the target application according to the second resource restriction policy.

In an embodiment, performing resource limitation processing on the target application according to the first resource restriction policy includes: acquiring a foreground running time of the target application; and when the current running time exceeds the first duration threshold, controlling the target application to enter the resource limiting state . When the resource-restricted application is running, the resource usage of the electronic device is less than the occupancy threshold. When the target application is in the resource-restricted state, the target application's resource occupancy rate for the electronic device cannot exceed the occupancy threshold. It can control the running efficiency of the target application in the foreground and reduce the user's dependence on the electronic device. For example, the CPU usage of the control target application should not exceed 5% at runtime to reduce the excessive consumption of CPU by the target application and reduce the user's dependence on the mobile phone. In the mobile phone system, cgroups (control groups) can be used to control the CPU usage of the target application, such as CPU, memory, and IO, that is, the target application accessed by the control enters the resource restriction state.

The target application can also be controlled to enter the resource restriction state according to the total resource occupancy rate of the electronic device, where the total resource occupancy rate refers to the ratio of the occupied resources and the total resources in the electronic device. When the foreground running time of the target application exceeds the first duration threshold, the total resource occupancy rate of the electronic device is acquired, and the target application enters the resource limiting state according to the total resource occupancy rate. Specifically, the correspondence between the total resource occupancy rate and the resource restriction level may be established in advance, and the resource usage rate of the target application to the electronic device may not exceed the occupancy rate threshold when the resource is restricted. When the resource limit level is different, the target application has different occupancy thresholds. Obtain a total resource occupation rate of the electronic device, and obtain a resource restriction level according to the total resource occupancy rate; and control the target application to enter a resource restriction state corresponding to the resource restriction level. For example, the total resource occupancy rate of the electronic device is divided into three occupation levels of 50% to 60%, 60% to 80%, and 80% to 100%, and then corresponding to the light resource restriction level, the common resource restriction level, and the depth. The resource limit level is three levels, and the corresponding resource limit level can be obtained according to the total resource usage rate. The occupancy thresholds corresponding to different resource limit levels are different. It can be understood that the occupancy thresholds corresponding to different resources may be different. For example, the CPU usage threshold can be 5%, and the memory usage threshold can be 10%.

In other embodiments, the occupancy of the resource may be controlled according to the application priority of the target application, the correspondence between the application priority and the resource restriction level is established in advance, and then the access resource is controlled according to the application priority of the target application. Limit the resource limit level of the state. The method may include: obtaining an application priority corresponding to the target application when the current running time exceeds the first duration threshold; acquiring a corresponding resource restriction level according to the application priority; and controlling the target application to enter a resource limitation state corresponding to the resource limitation level.

In the embodiment provided by the present application, performing resource restriction processing on the target application according to the second resource restriction policy includes: starting when the target application is detected to switch from the foreground to the background; when the timing duration exceeds the second duration threshold , then control the target application to enter a frozen state. The target application that enters the frozen state can no longer continue to run, which can reduce the resource consumption of the electronic device by the target application. The frozen target application can also be woken up, and the user or system can set the conditions for wakeup.

In addition, when the degree of user dependency is the third level of dependency, the target application may not be subjected to resource restriction processing, and the target application may be subjected to resource limitation processing according to the third resource limitation processing policy. Specifically, when the degree of user dependency is the third level dependency degree, the third resource restriction policy is acquired. The resource restriction processing on the target application according to the third resource restriction policy includes: starting when the target application is detected to switch from the foreground to the background, and when the timing duration exceeds the third duration threshold, the control target application enters a frozen state. The second duration threshold is less than the third duration threshold.

In the Android system, there are various ways to implement application freezing and wake-up. For example, one can be implemented by the pm (package manager) command. In the pm command, the application can be set to a frozen state by the freeze command pm disable[–user USER_ID]PACKAGE_OR_COMPONENT, and then passed. The defrosting command pm enable[–user USER_ID]PACKAGE_OR_COMPONENT wakes up the application in the frozen state, and obtains the list of applications in the frozen state by freezing the list query command pm list packages–d to view the frozen application. It can be understood that the application processing method is described by taking the Android operating system as an example in the present application, but the application processing method of the present application is not limited to being implemented in the Android system, and can also be applied to the IOS (IPhone Operating System), In operating systems such as Symbian, Windows, and MAC OS (Macintosh Operating System).

Operation 416, obtaining a time limit from the time when the resource restriction processing is performed on the target application to the current time.

After the resource limit processing is performed on the target application, the electronic device starts a timer and then starts counting through the timer. The electronic device can establish a corresponding timer for each target application, and each target application can perform timing according to the corresponding timer when performing resource limitation processing. Corresponding relationship between the target application identifier of the target application and the timing identifier of the timer is established in advance, and the timer is searched and started by the timing identifier corresponding to the target application identifier. Taking the Android system as an example, the system can predefine a timer. When it is detected that the target application is awakened, the target application identifier searches for a corresponding timer, and the timer is cleared by timer.setBase(SystemClock.elapsedRealtime()). Then start the timer with the timer.start() function and start timing.

Operation 418, when the limit duration exceeds the limit duration threshold, the target application is restored to a normal operating state.

When the limit duration exceeds the limit duration threshold, the target application is restored to normal operation. When the target application is in the resource limit state, the electronic device's resource limit to the target application is released. Wakes up the target application from a frozen state when the target application is frozen. After returning to normal operation, the target application's use of electronic device resources is no longer restricted.

FIG. 5 is a schematic diagram of a resource restriction state of an application in an embodiment. As shown in FIG. 5, the resources of the electronic device include a CPU, a memory, an IO, a network resource, and the like, and the state of the application may be classified into a normal running state, a resource limiting state, and a frozen state. The resource restriction state may be further divided into a light resource restriction state, a normal resource restriction state, and a deep resource restriction state. In different resource limitation states, the corresponding available resource 502 and the unavailable resource 504 are different. From the light resource limit state, the normal resource limit state to the deep resource limit state, the available resource 502 is decremented. In normal operation, the application's available resource 502 is 100%.

The application processing method provided by the foregoing embodiment may obtain user attribute information according to historical operation data of each application in the electronic device, acquire a user dependent program according to an average running time of the electronic device, and obtain a first resource restriction policy according to the degree of user dependency. And a second resource restriction policy. Then, the target application is subjected to resource restriction processing according to the obtained first resource restriction policy and the second resource restriction policy. In this way, according to the user's habit of using the electronic device, the operation of the application in the electronic device can be controlled, and different processes can be performed for different users, so that the electronic device can more accurately control the application and improve the user of the electronic device. Viscosity.

It should be understood that although the operations in the flowcharts of FIGS. 3 and 4 are sequentially displayed as indicated by the arrows, these operations are not necessarily performed in the order indicated by the arrows. Except as explicitly stated herein, the execution of these operations is not strictly limited, and the operations may be performed in other sequences. Moreover, at least some of the operations in FIGS. 3 and 4 may include multiple sub-operations or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, or The order of execution of the stages is also not necessarily sequential, but may be performed alternately or alternately with at least a portion of the sub-operations or stages of other operations or other operations.

In one embodiment, as shown in FIG. 6, a partial architectural diagram of an electronic device is provided. The architecture system of the electronic device includes a JAVA space layer 61, a local frame layer 62, and a Kernel space layer 63. The JAVA spatial layer 61 can include a policy application 610 through which the electronic device can initiate a freeze and thaw strategy for each application, thereby implementing freezing and thawing operations for each application in the electronic device. For example, the policy application 610 determines the background power consumption application and initiates a freeze operation on the background power consumption application. The local framework layer 62 includes a resource priority and restriction management module 620 and a platform freeze management module 622. The electronic device can maintain the priority of the application and the corresponding resource group in real time through the resource priority and restriction management module 620, and adjust the priority and the resource group of the application according to the requirements of the upper layer, thereby achieving optimized performance and saving power consumption. effect. The electronic device can allocate the tasks that can be frozen in the background to the frozen layer corresponding to the preset level by the platform freeze management module 622. Optionally, the frozen layer can include: the CPU limits the sleep mode, and the CPU Freeze sleep mode, process deep freeze mode. The kernel space layer 63 includes a UID management module 630, a Cgroup module 632, a timeout freeze exit module 634, a Binder management module 636, and a process memory recovery module 638. The UID management module 630 can manage resources of the third-party application or freeze based on the User Identifier (UID) of the application. Compared with the Process Identifier (PID) for process management and control, it is easier to uniformly manage the resources of a user's application through UID. The Cgroup module 632 is used to provide a complete set of Central Processing Unit (CPU), CPUSET, memory, input/output (I/O), and Net related resource restriction mechanisms. The timeout freeze exit module 634 is configured to resolve an exception generated by the freeze timeout scenario. The Binder management module 636 is used to implement the priority control of the background binder communication. The process memory recovery module 638 is configured to implement a deep freeze mode of the process. When the third-party application is in a frozen state for a long time, the file area of the process can be released, thereby saving the memory module and speeding up the application at the next startup. speed. Through the above architecture, the application processing method in various embodiments of the present application can be implemented.

FIG. 7 is a schematic structural diagram of an application processing apparatus in an embodiment. As shown in FIG. 7, the application processing apparatus 700 includes a user information acquisition module 702, a dependency degree acquisition module 704, a policy acquisition module 706, and an application processing module 708. among them:

The user information obtaining module 702 is configured to acquire historical running data of each application in the electronic device, and obtain user attribute information corresponding to the user who uses the electronic device according to the historical running data.

The dependency degree obtaining module 704 is configured to acquire an average running time of the electronic device, and obtain a user dependency degree according to the average running time length, where the average running time length indicates an average running time of the electronic device in a unit time length, The degree of user dependency is used to indicate how much the user is dependent on the electronic device.

The policy obtaining module 706 is configured to obtain a target application according to the user attribute information, and obtain a resource restriction policy according to the user dependency degree.

The application processing module 708 is configured to perform resource limitation processing on the target application according to the resource restriction policy.

The application processing device of the above embodiment can obtain user attribute information according to historical operation data of each application in the electronic device, acquire a user dependent program according to an average running time of the electronic device, and obtain a resource restriction policy according to the degree of user dependence. The target application is then subjected to resource restriction processing according to the obtained resource restriction policy. In this way, according to the user's habit of using the electronic device, the operation of the application in the electronic device can be controlled, and different processes can be performed for different users, so that the electronic device can more accurately control the application and improve the user of the electronic device. Viscosity.

FIG. 8 is a schematic structural diagram of an application processing apparatus in another embodiment. As shown in FIG. 8, the application processing apparatus 800 includes a user information acquisition module 802, a dependency degree acquisition module 804, a policy acquisition module 806, an application processing module 808, and an application recovery module 810. among them:

The user information obtaining module 802 is configured to acquire historical running data of each application in the electronic device, and obtain user attribute information corresponding to the user who uses the electronic device according to the historical running data.

The dependency degree obtaining module 804 is configured to acquire an average running time of the electronic device, and obtain a user dependency degree according to the average running time length, where the average running time length indicates an average running time of the electronic device in a unit time length, The degree of user dependency is used to indicate how much the user is dependent on the electronic device.

The policy obtaining module 806 is configured to obtain a target application according to the user attribute information, and obtain a resource restriction policy according to the user dependency degree.

The application processing module 808 is configured to perform resource limitation processing on the target application according to the resource restriction policy.

The application recovery module 810 is configured to acquire a time limit from a time when the resource limiting process is performed on the target application to a current time limit, and restore the target application to a normal running state when the limit duration exceeds a limit duration threshold. .

The application processing device of the above embodiment can obtain user attribute information according to historical operation data of each application in the electronic device, acquire a user dependent program according to an average running time of the electronic device, and obtain a resource restriction policy according to the degree of user dependence. The target application is then subjected to resource restriction processing according to the obtained resource restriction policy. In this way, according to the user's habit of using the electronic device, the operation of the application in the electronic device can be controlled, and different processes can be performed for different users, so that the electronic device can more accurately control the application and improve the user of the electronic device. Viscosity.

In an embodiment, the user information obtaining module 802 is further configured to acquire power consumption of each application in the electronic device, obtain a power consumption application according to the power consumption, and acquire and use the electronic device according to the power consumption application. User attribute information corresponding to the user; and/or obtaining an operating frequency of each application in the electronic device, acquiring a frequency application according to the operating frequency, and using a user corresponding to the electronic device according to the frequency application User attribute information.

In an embodiment, the user information obtaining module 802 is further configured to acquire the application that consumes the power consumption exceeding the power threshold as a power consumption application; and/or sort the application according to the power consumption. And get the specified number of applications in the sorted application as a power-consuming application.

In one embodiment, the user information obtaining module 802 is further configured to acquire the application whose operating frequency exceeds the frequency threshold as a frequency application; and/or sort the applications according to the operating frequency, and after sorting The application gets the specified number of bits in the application as a frequency application.

In one embodiment, the dependency degree acquisition module 804 is further configured to acquire an average running time of the electronic device, determine a target duration interval in which the average running time falls, and obtain a corresponding user dependency degree according to the target duration interval.

In an embodiment, the policy obtaining module 806 is further configured to: when the degree of user dependency is a first level of dependency, acquire a first resource limiting policy and a second resource limiting policy; when the user dependency level is a second level When the degree of dependency is reached, the second resource restriction policy is obtained.

In an embodiment, the application processing module 808 is further configured to perform resource limitation processing on the target application according to the first resource restriction policy; and/or perform the target application according to the second resource restriction policy. Resource limit processing.

In an embodiment, the application processing module 808 is further configured to acquire a foreground running time of the target application; when the foreground running time exceeds a first duration threshold, the target application is controlled to enter a resource limiting state.

In an embodiment, the application processing module 808 is further configured to start timing when detecting that the target application switches from the foreground to the background; and when the timing duration exceeds the second duration threshold, controlling the target application to enter a frozen state. .

The division of the various modules in the application processing device described above is for illustrative purposes only. In other embodiments, the application processing device may be divided into different modules as needed to perform all or part of the functions of the application processing device.

The implementation of each module in the application processing apparatus provided in the embodiments of the present application may be in the form of a computer program. The computer program can run on a terminal or server. The program modules of the computer program can be stored on the memory of the terminal or server. The operation of the method described in the embodiments of the present application is implemented when the computer program is executed by the processor.

The embodiment of the present application also provides a computer readable storage medium. One or more non-transitory computer readable storage media containing computer executable instructions that, when executed by one or more processors, cause the processor to execute the applications provided by the above embodiments Approach.

A computer program product comprising instructions which, when run on a computer, cause the computer to perform the application processing method provided by the above embodiments.

An embodiment of the present application also provides an electronic device. As shown in FIG. 9 , for the convenience of description, only the parts related to the embodiments of the present application are shown. If the specific technical details are not disclosed, please refer to the method part of the embodiment of the present application. The electronic device can be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), an on-board computer, a wearable device, and the like, and the electronic device is used as a mobile phone. :

FIG. 9 is a block diagram showing a partial structure of a mobile phone related to an electronic device according to an embodiment of the present application. Referring to FIG. 9, the mobile phone includes: a radio frequency (RF) circuit 910, a memory 920, an input unit 930, a display unit 940, a sensor 950, an audio circuit 960, a wireless fidelity (WiFi) module 970, and a processor 980. And power supply 990 and other components. It will be understood by those skilled in the art that the structure of the handset shown in FIG. 9 does not constitute a limitation to the handset, and may include more or less components than those illustrated, or some components may be combined, or different component arrangements.

The RF circuit 910 can be used for receiving and transmitting signals during the transmission and reception of information or during a call. The downlink information of the base station can be received and processed by the processor 980. The uplink data can also be sent to the base station. Generally, RF circuits include, but are not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, RF circuitry 910 can also communicate with the network and other devices via wireless communication. The above wireless communication may use any communication standard or protocol, including but not limited to Global System of Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (Code Division). Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), e-mail, Short Messaging Service (SMS), and the like.

The memory 920 can be used to store software programs and modules, and the processor 980 executes various functional applications and data processing of the mobile phone by running software programs and modules stored in the memory 920. The memory 920 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as an application of a sound playing function, an application of an image playing function, etc.); The data storage area can store data (such as audio data, address book, etc.) created according to the use of the mobile phone. Moreover, memory 920 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 930 can be configured to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the handset 900. Specifically, the input unit 930 may include a touch panel 931 and other input devices 932. The touch panel 931, also referred to as a touch screen, can collect touch operations on or near the user (such as the user using a finger, a stylus, or the like on the touch panel 931 or near the touch panel 931. Operation) and drive the corresponding connection device according to a preset program. In one embodiment, the touch panel 931 can include two portions of a touch detection device and a touch controller. Wherein, the touch detection device detects the touch orientation of the user, and detects a signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts the touch information into contact coordinates, and sends the touch information. The processor 980 is provided and can receive commands from the processor 980 and execute them. In addition, the touch panel 931 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic waves. In addition to the touch panel 931, the input unit 930 may also include other input devices 932. Specifically, other input devices 932 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control buttons, switch buttons, etc.).

The display unit 940 can be used to display information input by the user or information provided to the user as well as various menus of the mobile phone. The display unit 940 can include a display panel 941. In one embodiment, the display panel 941 may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like. In one embodiment, the touch panel 931 can cover the display panel 941. When the touch panel 931 detects a touch operation on or near it, the touch panel 931 transmits to the processor 980 to determine the type of the touch event, and then the processor 980 is The type of touch event provides a corresponding visual output on display panel 941. Although the touch panel 931 and the display panel 941 are used as two independent components to implement the input and input functions of the mobile phone in FIG. 9, in some embodiments, the touch panel 931 and the display panel 941 may be integrated. Realize the input and output functions of the phone.

The handset 900 can also include at least one type of sensor 950, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display panel 941 according to the brightness of the ambient light, and the proximity sensor may close the display panel 941 and/or when the mobile phone moves to the ear. Or backlight. The motion sensor may include an acceleration sensor, and the acceleration sensor can detect the magnitude of the acceleration in each direction, and the magnitude and direction of the gravity can be detected at rest, and can be used to identify the gesture of the mobile phone (such as horizontal and vertical screen switching), and vibration recognition related functions (such as Pedometer, tapping, etc.; in addition, the phone can also be equipped with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors.

Audio circuitry 960, speaker 961, and microphone 962 can provide an audio interface between the user and the handset. The audio circuit 960 can transmit the converted electrical data of the received audio data to the speaker 961, and convert it into a sound signal output by the speaker 961. On the other hand, the microphone 962 converts the collected sound signal into an electrical signal, and the audio circuit 960 After receiving, it is converted into audio data, and after being processed by the audio data output processor 980, it can be sent to another mobile phone via the RF circuit 910, or the audio data can be output to the memory 920 for subsequent processing.

WiFi is a short-range wireless transmission technology, and the mobile phone can help users to send and receive emails, browse web pages, and access streaming media through the WiFi module 970, which provides users with wireless broadband Internet access. Although FIG. 9 shows the WiFi module 970, it can be understood that it does not belong to the essential configuration of the mobile phone 900 and can be omitted as needed.

The processor 980 is the control center of the handset, which connects various portions of the entire handset using various interfaces and lines, by executing or executing software programs and/or modules stored in the memory 920, and invoking data stored in the memory 920, executing The phone's various functions and processing data, so that the overall monitoring of the phone. In one embodiment, processor 980 can include one or more processing units. In one embodiment, the processor 980 can integrate an application processor and a modem processor, wherein the application processor primarily processes an operating system, a user interface, an application, and the like; the modem processor primarily processes wireless communications. It will be appreciated that the above described modem processor may also not be integrated into the processor 980.

The mobile phone 900 also includes a power source 990 (such as a battery) that supplies power to various components. Preferably, the power source can be logically coupled to the processor 980 through a power management system to manage functions such as charging, discharging, and power management through the power management system.

In one embodiment, the handset 900 can also include a camera, a Bluetooth module, and the like.

In the embodiment of the present application, the processor 980 included in the electronic device implements the operation of the application processing method provided by the foregoing embodiment when executing the computer program stored in the memory.

Any reference to a memory, storage, database or other medium used herein may include non-volatile and/or volatile memory. Non-volatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM), which acts as an external cache. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronization. Link (Synchlink) DRAM (SLDRAM), Memory Bus (Rambus) Direct RAM (RDRAM), Direct Memory Bus Dynamic RAM (DRDRAM), and Memory Bus Dynamic RAM (RDRAM).

The above-mentioned embodiments are merely illustrative of several embodiments of the present application, and the description thereof is more specific and detailed, but is not to be construed as limiting the scope of the claims. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the present application. Therefore, the scope of the invention should be determined by the appended claims.

Claims (21)

1. An application processing method, including:

   Obtaining historical running data of each application in the electronic device, and acquiring user attribute information corresponding to the user who uses the electronic device according to the historical running data;

   Acquiring an average running time of the electronic device, and acquiring a user dependency degree according to the average running time length, where the average running time length indicates an average running time of the electronic device in a unit time length, and the user dependency degree is used to indicate a user pair The degree of dependence of the electronic device;

   Obtaining a target application according to the user attribute information, and acquiring a resource restriction policy according to the user dependency degree; and

   Performing resource restriction processing on the target application according to the resource restriction policy.
2. The method according to claim 1, wherein the acquiring the historical running data of each application in the electronic device, and acquiring the user attribute information corresponding to the user using the electronic device according to the historical running data comprises the following manner At least one of:

   Obtaining power consumption of each application in the electronic device, acquiring a power consumption application according to the power consumption, and acquiring user attribute information corresponding to a user using the electronic device according to the power consumption application; and

   Obtaining an operating frequency of each application in the electronic device, acquiring a frequency application according to the operating frequency, and using user attribute information corresponding to a user of the electronic device according to the frequency application.
3. The method according to claim 2, wherein the obtaining the power consumption application according to the power consumption comprises at least one of the following manners:

   Obtaining the application that consumes more power than the power threshold as a power consumption application;

   Sorting the application according to the power consumption, and acquiring an application with a specified number of bits in the sorted application as a power consumption application;

   The acquiring the frequency application according to the operating frequency includes at least one of the following manners:

   Obtaining an application whose operating frequency exceeds a frequency threshold as a frequency application; and

   The applications are sorted according to the running frequency, and the application with the specified number of bits is obtained as a frequency application in the sorted application.
4. The method according to claim 1, wherein the obtaining an average running time of the electronic device, and obtaining a user dependency according to the average running time comprises:

   Obtaining an average running time of the electronic device, and determining a target duration interval in which the average running time falls; and

   Obtaining a corresponding degree of user dependency according to the target duration interval.
5. The method according to claim 1, wherein the obtaining a resource restriction policy according to the degree of user dependency comprises:

   Obtaining the first resource restriction policy and the second resource restriction policy when the user dependency degree is a first level dependency degree;

   Obtaining a second resource restriction policy when the degree of user dependency is a second level dependency degree, wherein the first level dependency degree is higher than the second level dependency degree;

   The performing resource restriction processing on the target application according to the resource restriction policy includes at least one of the following manners:

   Performing resource restriction processing on the target application according to the first resource restriction policy; and

   Performing resource restriction processing on the target application according to the second resource restriction policy.
6. The method according to claim 5, wherein the performing resource restriction processing on the target application according to the first resource restriction policy comprises:

   Obtaining the foreground running time of the target application;

   Controlling the target application to enter a resource restriction state when the foreground running time exceeds a first duration threshold;

   The performing resource restriction processing on the target application according to the second resource restriction policy includes:

   Start timing when it is detected that the target application switches from the foreground to the background; and

   When the timing duration exceeds the second duration threshold, the target application is controlled to enter a frozen state.
7. The method according to any one of claims 1 to 6, wherein the method further comprises:

   Obtaining a time limit from a time when the resource limiting process is performed on the target application to a current time; and

   When the limit duration exceeds the limit duration threshold, the target application is restored to a normal operating state.
8. An electronic device includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following operations:

   Obtaining historical running data of each application in the electronic device, and acquiring user attribute information corresponding to the user who uses the electronic device according to the historical running data;

   Acquiring an average running time of the electronic device, and acquiring a user dependency degree according to the average running time length, where the average running time length indicates an average running time of the electronic device in a unit time length, and the user dependency degree is used to indicate a user pair The degree of dependence of the electronic device;

   Obtaining a target application according to the user attribute information, and acquiring a resource restriction policy according to the user dependency degree; and

   Performing resource restriction processing on the target application according to the resource restriction policy.
9. The electronic device according to claim 8, wherein the processor executes the historical operation data of each application in the acquisition electronic device, and acquires, according to the historical operation data, a user corresponding to the user who uses the electronic device. When the user attribute information is used, at least one of the following operations is also performed:

   Obtaining power consumption of each application in the electronic device, acquiring a power consumption application according to the power consumption, and acquiring user attribute information corresponding to a user using the electronic device according to the power consumption application; and

   Obtaining an operating frequency of each application in the electronic device, acquiring a frequency application according to the operating frequency, and using user attribute information corresponding to a user of the electronic device according to the frequency application.
10. The electronic device according to claim 9, wherein the processor further performs at least one of the following operations when the processor acquires the power consumption application according to the power consumption:

    Obtaining the application that consumes more power than the power threshold as a power consumption application;

    Sorting the application according to the power consumption, and acquiring an application with a specified number of bits in the sorted application as a power consumption application;

    The processor further performs at least one of the following operations when the acquiring the frequency application according to the operating frequency:

    Obtaining an application whose operating frequency exceeds a frequency threshold as a frequency application; and

    The applications are sorted according to the running frequency, and the application with the specified number of bits is obtained as a frequency application in the sorted application.
11. The electronic device according to claim 8, wherein the processor performs the obtaining an average running time of the electronic device, and when acquiring the user dependency degree according to the average running time, performing the following operations:

    Obtaining an average running time of the electronic device, and determining a target duration interval in which the average running time falls; and

    Obtaining a corresponding degree of user dependency according to the target duration interval.
12. The electronic device according to claim 8, wherein when the processor executes the resource restriction policy according to the degree of user dependency, the processor further performs the following operations:

    Obtaining the first resource restriction policy and the second resource restriction policy when the user dependency degree is a first level dependency degree;

    Obtaining a second resource restriction policy when the degree of user dependency is a second level dependency degree, wherein the first level dependency degree is higher than the second level dependency degree;

    And performing, by the processor, the resource limiting processing on the target application according to the resource restriction policy, and performing at least one of the following operations:

    Performing resource restriction processing on the target application according to the first resource restriction policy; and

    Performing resource restriction processing on the target application according to the second resource restriction policy.
13. The electronic device according to claim 12, wherein when the processor performs the resource limiting process on the target application according to the first resource restriction policy, the processor further performs the following operations:

    Obtaining the foreground running time of the target application;

    Controlling the target application to enter a resource restriction state when the foreground running time exceeds a first duration threshold;

    When the processor performs the resource limitation processing on the target application according to the second resource restriction policy, the processor further performs the following operations:

    Start timing when it is detected that the target application switches from the foreground to the background; and

    When the timing duration exceeds the second duration threshold, the target application is controlled to enter a frozen state.
14. The electronic device according to any one of claims 8 to 13, wherein the processor further performs the following operations:

    Obtaining a time limit from a time when the resource limiting process is performed on the target application to a current time; and

    When the limit duration exceeds the limit duration threshold, the target application is restored to a normal operating state.
15. A computer readable storage medium having stored thereon a computer program, the computer program being executed by a processor to:

    Obtaining historical running data of each application in the electronic device, and acquiring user attribute information corresponding to the user who uses the electronic device according to the historical running data;

    Acquiring an average running time of the electronic device, and acquiring a user dependency degree according to the average running time length, where the average running time length indicates an average running time of the electronic device in a unit time length, and the user dependency degree is used to indicate a user pair The degree of dependence of the electronic device;

    Obtaining a target application according to the user attribute information, and acquiring a resource restriction policy according to the user dependency degree; and

    Performing resource restriction processing on the target application according to the resource restriction policy.
16. The computer readable storage medium according to claim 15, wherein the computer program is executed by the processor to acquire historical operation data of each application in the electronic device, and use the electronic device according to the historical operation data acquisition When the user attribute information corresponding to the user of the device is performed, at least one of the following operations is also performed:

    Obtaining power consumption of each application in the electronic device, acquiring a power consumption application according to the power consumption, and acquiring user attribute information corresponding to a user using the electronic device according to the power consumption application; and

    Obtaining an operating frequency of each application in the electronic device, acquiring a frequency application according to the operating frequency, and using user attribute information corresponding to a user of the electronic device according to the frequency application.
17. The computer readable storage medium according to claim 16, wherein the computer program is further executed by the processor when the power consumption application is acquired according to the power consumption, and at least one of the following operations is performed:

    Obtaining the application that consumes more power than the power threshold as a power consumption application;

    Sorting the application according to the power consumption, and acquiring an application with a specified number of bits in the sorted application as a power consumption application;

    The computer program is further executed by the processor when the frequency application is acquired according to the operating frequency, and at least one of the following operations is performed:

    Obtaining an application whose operating frequency exceeds a frequency threshold as a frequency application; and

    The applications are sorted according to the running frequency, and the application with the specified number of bits is obtained as a frequency application in the sorted application.
18. The computer readable storage medium according to claim 15, wherein the computer program is executed by the processor to obtain an average running time of the electronic device, and when the user is dependent on the average running time, Do the following:

    Obtaining an average running time of the electronic device, and determining a target duration interval in which the average running time falls; and

    Obtaining a corresponding degree of user dependency according to the target duration interval.
19. The computer readable storage medium according to claim 15, wherein when the computer program is executed by the processor to obtain a resource restriction policy according to the degree of user dependency, the computer program further performs the following operations:

    Obtaining the first resource restriction policy and the second resource restriction policy when the user dependency degree is a first level dependency degree;

    Obtaining a second resource restriction policy when the degree of user dependency is a second level dependency degree, wherein the first level dependency degree is higher than the second level dependency degree;

    When the computer program is executed by the processor, performing resource limitation processing on the target application according to the resource restriction policy, performing at least one of the following operations:

    Performing resource restriction processing on the target application according to the first resource restriction policy; and

    Performing resource restriction processing on the target application according to the second resource restriction policy.
20. The computer readable storage medium according to claim 19, wherein when the computer program is executed by the processor to perform resource limitation processing on the target application according to the first resource restriction policy, the computer program is further executed as follows operating:

    Obtaining the foreground running time of the target application;

    Controlling the target application to enter a resource restriction state when the foreground running time exceeds a first duration threshold;

    When the computer program is executed by the processor, performing resource limitation processing on the target application according to the second resource restriction policy, performing the following operations:

    Start timing when it is detected that the target application switches from the foreground to the background; and

    When the timing duration exceeds the second duration threshold, the target application is controlled to enter a frozen state.
21. The computer readable storage medium according to any one of claims 15 to 20, wherein when the computer program is executed by the processor, the following operations are further performed:

    Obtaining a time limit from a time when the resource limiting process is performed on the target application to a current time; and

    When the limit duration exceeds the limit duration threshold, the target application is restored to a normal operating state.

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