CN109992364B - Application freezing method and device, computer equipment and computer readable storage medium - Google Patents
Application freezing method and device, computer equipment and computer readable storage medium Download PDFInfo
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Abstract
The application provides an application freezing method, an application freezing device, computer equipment and a computer readable storage medium. The method comprises the following steps: acquiring running information of an application program, wherein the running information comprises the running information of the application program in a foreground of computer equipment and/or a background of the computer equipment; acquiring the type of the application program; acquiring the weight of the application program according to a preset machine learning model, wherein the weight of the application program is acquired according to the running information of the application program and the type of the application program; and if the weight of the application program accords with a preset rule, freezing the application program. According to the method, the freezing list is set in the computer equipment, and the freezing list is continuously updated, so that the computer equipment can dynamically adjust whether the application program is frozen, and the computer equipment can more intelligently freeze the application program.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an application freezing method, an application freezing apparatus, a computer device, and a computer-readable storage medium.
Background
With the rapid development of intelligent computer devices, the application programs that can be run on the intelligent computer devices are more and more diversified. When a plurality of application programs run in the foreground or the background of the intelligent computer equipment, the application programs mutually occupy system resources, such as CPU resources, I/O resources, network resources and the like. Mutual preemption of system resources among applications typically results in a slow running smart computer device.
Disclosure of Invention
The embodiment of the application freezing method and device, computer equipment and computer readable storage medium can freeze an application program.
An application freezing method comprising:
acquiring running information of an application program, wherein the running information comprises the running information of the application program in a foreground of computer equipment and/or a background of the computer equipment;
acquiring the type of the application program;
acquiring the weight of the application program according to a preset machine learning model, wherein the weight of the application program is acquired according to the running information of the application program and the type of the application program;
and if the weight of the application program accords with a preset rule, freezing the application program.
An application freezing apparatus comprising:
the acquisition module is used for acquiring running information of an application program, wherein the running information comprises the running information of the application program in a foreground of the computer equipment and/or a background of the computer equipment; acquiring the type of the application program;
the weight determining module is used for obtaining the weight of the application program according to a preset machine learning model, and the weight of the application program is obtained according to the running information of the application program and the type of the application program;
and the freezing module is used for freezing the application program if the weight of the application program accords with a preset rule.
A computer device comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to carry out the steps of the method as described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method as set forth above.
In the embodiment of the application, the freezing list is set in the computer equipment, and the freezing list is continuously updated, so that the computer equipment can dynamically adjust whether the application program is frozen, and the computer equipment can more intelligently freeze the application program.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram showing an internal configuration of a computer device according to an embodiment;
FIG. 2 is a partial block diagram of a computer device in one embodiment;
FIG. 3 is a flow diagram of an application freezing method in one embodiment;
FIG. 4 is a flow chart of a method of applying freezing in another embodiment;
FIG. 5 is a flow chart of a method of applying freezing in another embodiment;
FIG. 6 is a block diagram of an embodiment employing a freezing apparatus;
FIG. 7 is a block diagram showing the construction of a freezing apparatus used in another embodiment;
FIG. 8 is a block diagram showing the construction of a freezing apparatus used in another embodiment;
fig. 9 is a block diagram of a partial structure of a mobile phone related to a computer device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Fig. 1 is a schematic diagram of an internal structure of a computer device according to an embodiment. As shown in fig. 1, the computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein, the processor is used for providing calculation and control capability and supporting the operation of the whole computer equipment. The memory is used for storing data, programs and the like, and at least one computer program is stored on the memory, and the computer program can be executed by the processor to realize the application freezing method suitable for the computer device provided by the embodiment of the application. The memory may include 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 is executable by a processor for implementing an application freezing method as provided in the following embodiments. The internal memory provides a cached execution environment for the operating system computer programs in the non-volatile storage medium. The network interface may be an ethernet card or a wireless network card, etc. for communicating with an external computer device. The computer device may be a mobile phone, a tablet computer or a personal digital assistant or a wearable device, etc.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components. For example, the computer device further includes a network interface connected via the system bus, where the network interface may be an ethernet card or a wireless network card, and the like, and is used for communicating with an external computer device, such as a server.
FIG. 2 is a diagram illustrating a portion of the architecture of a computer device, in accordance with one embodiment. As shown in FIG. 2, the architectural system of the computer device includes a Java space layer 210, a local framework layer 220, and a Kernel space layer 230. The Java space layer includes a freezing and unfreezing module 212, and the freezing and unfreezing module 212 is used for implementing a freezing policy for each application program, for example, freezing the application program consuming power in the background.
The local framework layer 220 includes a resource priority and restriction management module 222 and a platform freeze management module 224. The resource priority and restriction management module 222 may perform different resource restrictions on different applications, so that different applications are in different resource priorities. The resource priority and restriction management module 222 may also adjust the resource priority of the application according to the requirements of the upper layers so that the computer device can make it reasonable for the application to use the resources. The platform freezing management module 224 may determine the level of resource limitation on the process application program according to the time length of the application program entering the background, the platform freezing management module 224 may preset different levels of resource limitation, and the longer the time length of the application program entering the background is, the higher the level of resource limitation on the application program by the platform freezing management module 224 is, that is, the higher the degree of resource limitation on the application program is. Optionally, the resource restriction level may include: a CPU restricted sleep mode, a CPU frozen sleep mode, and a process deep frozen mode. The CPU restricted sleep mode is to restrict a Central Processing Unit (CPU) resource that can be used by a process of an application, so that the process of the application can use less CPU resource; network resources and input/output (I/O) resources that can be used by processes of the application may be further limited in the CPU limited sleep mode. The CPU freeze sleep mode is a deep restricted mode in which resources available to an application are not recovered, but CPU resources, network resources, and I/O resources are prohibited from being used by the process of the application. The CPU freeze sleep mode is to prohibit the process of the application program from using CPU resources, network resources and I/O resources, and recycle the memory resources occupied by the process of the application program. The interface module of the local framework layer 220 includes a binder interface that is developed to the upper layer, and the framework or the application program of the upper layer can send a resource restriction instruction to the resource restriction management module 222 and send a freeze instruction to the platform freeze management module 224 through the binder interface.
The kernel space layer 230 includes a UID management module 231, a Cgroup module 232, a binder management and control module 233, a process memory recycling module 234, and a timeout freeze exit module 235. Currently, Process management for an application is implemented based on a Process Identification (PID), and a Process does not correspond to an application, which is not beneficial to uniformly managing resources corresponding to all processes of an application. The UID management module 231 may manage resources of the application program through a User Identifier (UID) of the application program, and may also freeze the application program through the UID of the application program. The Cgroup module 232 may provide a CPU, CPUSET, memory, I/O resources and Net related resource restriction mechanism. binder management module 233 may be used to limit the priority of background inter-process binder communications. The process memory recycling module 234 is configured to implement a process deep freeze mode, and release a file area of a process when the process enters the process deep freeze mode, thereby saving memory and speeding up the next start of an application program corresponding to the process. The timeout freeze exit module 235 is used to solve the problem that the process is abnormal during the freeze timeout.
Through the above-mentioned architecture, the application freezing method in the embodiments of the present application can be implemented.
FIG. 3 is a flow diagram of a method for applying a freeze in one embodiment. As shown in fig. 3, an application freezing method includes:
The computer device can obtain the running information of the application program, wherein the running information of the application program comprises the running information of the application program when the application program runs in the foreground of the computer device and the running information of the application program when the application program runs in the background of the computer device. The operation information of the application program may include: the method comprises the steps of running the application program in the foreground, determining the type of the date (the types of the dates comprise working days and rest days) of the application program in the foreground, running the application program in the foreground, determining the type and the state of the network (the types of the network can comprise wireless local area networks and cellular data networks, and the state of the network can comprise the speed of the network), running the application program in the background, freezing level of the application program in the background, plugging and unplugging state of earphones when the application program runs in the foreground, charging of computer equipment when the application program runs in the foreground, power of the computer equipment when the application program runs in the foreground and the like.
The computer device may classify the applications into different types according to their functions. The resource management method of the computer equipment to different types of application programs is different. For example, the computer device may classify the application into a social class, a game class, an audio-video class, a tool class, and the like according to the function of the application. The social software has a high requirement on the instantaneity of the message, the computer device can allocate network resources with more social software, the game audio and video software occupies a large amount of CPU resources and memory resources when running, the computer device can allocate more CPU resources and memory resources for the game audio and video software, and the computer device can allocate more network resources for the game software.
And step 306, acquiring the weight of the application program according to a preset machine learning model, wherein the weight of the application program is acquired according to the running information of the application program and the type of the application program.
The machine learning model is a decision model constructed according to a machine learning algorithm, and the machine learning model can construct a relation among the operation information of the application program, the type of the application program and the weight of the application program by training the machine learning model. After obtaining the operation information of each application program and the type of the application program, the computer device may obtain the weight of the application program according to the operation information of the application program and the type of the application program. The machine learning model also has learning and updating functions, and can dynamically adjust the relationship among the running information of the application program, the type of the application program and the weight of the application program along with the increase of the number of samples for learning and decision making.
The weight of the application program represents the depth of the application program used by the user, and the higher the weight of the application program is, the deeper the depth of the application program used by the user is, and the lower the weight of the application program is, the shallower the depth of the application program used by the user is. Specifically, the weight of the application program can be represented by a number between 0 and 1, and the larger the number, the higher the weight of the application program, the more often the user uses the application program; the smaller the number, the lower the weight of the application, indicating that the user is using the application less often.
And 308, freezing the application program if the weight of the application program meets the preset rule.
The computer device can obtain the weights of the plurality of application programs, compare the weights of the plurality of application programs, and judge whether to freeze the application programs according to the comparison result. The freezing of the application program refers to limiting resources that can be used by the application program, and specifically, network resources, CPU resources, memory resources, I/O resources, and the like that can be used by the application program can be limited. The method for detecting whether the weight of the application program meets the preset rule comprises at least one of the following methods:
(1) and arranging the weights of the plurality of application programs according to the size sequence, and taking the application program with the preset serial number as a frozen application program. For example, the weights of 10 applications are arranged in descending order, and the last 3-bit application is taken as the frozen application.
(2) The method comprises the steps of obtaining the weights of a plurality of application programs, obtaining a freezing threshold value according to the weights of the application programs, and freezing the application programs when the weights of the application programs are lower than the freezing threshold value. For example, if the average value of the weights of 20 applications is 0.4, the average value 0.4 is set as the freeze threshold, and if the weight of the application is less than 0.4, the application is set as the freeze application.
As the demands of users of computer devices change, the power consumption of computer devices also increases. In the current mainstream mobile operating system, in order to save power consumption, a freezing mechanism can be implemented on an application program in the computer device, that is, after the application program enters a background, the application program is frozen, so that the power consumption of the computer device is prevented from being increased due to the fact that the application program consumes a large amount of resources in the background. However, when the application program is frozen in the current mobile operating system, the application program is mostly frozen according to a freezing list set by the system or the application program entering the background is frozen, which may cause the application program to be frozen by mistake.
According to the method, the computer equipment can acquire the weight of the application program according to the running information of the application program and the type of the application program, the application program to be frozen is selected according to the weight, the mode of freezing the application program is more intelligent, and the probability of mistakenly freezing the application program can be reduced.
In one embodiment, freezing the application in step 308 includes:
(1) and acquiring the time length of the application program entering the background, and determining the corresponding freezing level according to the time length.
(2) And limiting the resources of the application program according to the freezing level.
The computer device may set a plurality of freeze levels for the application, and set the application to different freeze levels based on how long the application enters the background. Wherein different freeze levels impose different restrictions on resources. For example, according to the sequence of the duration of the application program entering the background from short to long, the application program can be divided into: CPU limited sleep mode, CPU frozen sleep mode, process deep frozen mode. The CPU restricted sleep mode is to restrict the CPU resources available to the process of the application, and correspondingly restrict the network resources and the I/O resources available to the process of the application, for example, to restrict the CPU resources available to the process of the application to 10% of the total CPU resources. The CPU freeze sleep mode means that the process of the application program is forbidden to use CPU resources, and correspondingly, network resources and I/O resources are forbidden to use. The process deep freezing mode is to not only prohibit the process of the application program from using CPU resources, network resources and I/O resources, but also recycle the memory occupied by the process of the application program. By setting different freezing levels for the application programs, the resources occupied by the background application programs can be gradually released.
According to the method, the corresponding freezing grade can be set according to the time length of the application program entering the background, so that more resources are recovered for the application program which enters the background for a long time, less resources are recovered for the application program which enters the background for a short time, and the intelligent processing of the application program for recovering the resources is realized.
In one embodiment, after obtaining the type of the application program in step 304, the method further includes:
(1) and acquiring the freezing moment and the unfreezing moment of the application program according to a preset machine learning model.
(2) And freezing or unfreezing the application program according to the freezing time schedule.
The machine learning model can also obtain the freezing time and the thawing time of the application program according to the running information of the application program. For example, the respective operation information of the application program is input into the decision model, and the freezing time and the thawing time of the application program are input to train the machine learning model, and through a large amount of learning and training, the machine learning model can construct the corresponding relationship between the respective operation information of the application program and the freezing time and the thawing time, and after the operation information of the application program in the computer device is acquired, the freezing time and the thawing time of the application program can be acquired according to the operation information.
After the computer equipment acquires the freezing time and the thawing time of the application program according to the running information of the application program, the application program can be automatically frozen at the freezing time, and the application program can be automatically thawed at the thawing time. For example, when the computer device acquires the running information of the game application a, the freezing time acquired by the machine learning model for the application a is 8:00 to 12:00, 14:00 to 18:00 of a working day, and the other times are not frozen, the computer device may acquire that the freezing time of the application corresponding to the application a is 8:00 and 14:00 of the working day, and the thawing time is 12:00 and 18:00 of the working day, the computer device may automatically freeze the application corresponding to the application a at 8:00 and 14:00 of the working day, and automatically thaw the application corresponding to the application a at 12:00 and 18:00 of the working day.
According to the method in the embodiment of the application, the computer equipment can acquire the freezing time and the unfreezing time of the application program according to the machine decision model, and then intelligently freezes and unfreezes the application program, so that the freezing rate of the background application program is improved, and resources occupied by the background application program are released.
In one embodiment, freezing or unfreezing the application in step 308 includes:
(1) and acquiring a process to be processed, wherein the process to be processed is the process of the application program.
(2) And acquiring a user group corresponding to the process to be processed, and searching a plurality of processes corresponding to the user group according to the corresponding relation between the user group and the processes.
(3) And freezing or unfreezing a plurality of processes corresponding to the user group.
In general, in a mobile operating system, various resources are managed in units of processes. Such as CPU resources, memory resources, network resources, I/O resources, etc. When the application program is switched between the foreground and the background in the computer equipment, all processes corresponding to the application program are also scheduled correspondingly. When the resources occupied by the application program are limited, all processes corresponding to the application program need to be acquired by traversing the cpu cact or proc through the upper layer, and then all processes corresponding to the application program are limited in resources.
When the computer equipment receives a freezing instruction or a unfreezing instruction of a certain process, the user group corresponding to the process can be obtained. The user group is the attribute of the process, the computer device kernel allocates the corresponding user group for the process when the process is created, and the computer device kernel releases the user group corresponding to the process when the process is destroyed. In general, a user group of a plurality of processes corresponding to the same application is the same. And the computer equipment can acquire the user group corresponding to the to-be-processed process through the cpu access traversal query.
The mapping relation of the user group to the process is prestored in the computer equipment, and the mapping relation of the user group to the process is obtained according to the corresponding relation of the user group and the process. The mapping relation of the user group to the processes records a plurality of processes corresponding to each user group in the computer equipment. The computer equipment can search a plurality of processes corresponding to the user group according to the mapping relation of the user group to the processes, wherein the processes corresponding to the user group comprise the to-be-processed processes. Because the user group is the attribute of the process, and the user groups of the processes corresponding to the same application program are the same, after the computer device obtains the user group corresponding to the process to be processed, the processes corresponding to the user group which are searched again are the processes corresponding to the same application program.
After acquiring the multiple processes corresponding to the user group, the computer device may freeze or unfreeze the multiple processes corresponding to the user group, that is, the computer device may freeze or unfreeze the multiple processes of the same application program. The freezing of the processes is to limit the resources occupied by the processes, so that the problem that the foreground process runs slowly due to the fact that the background process and the foreground process occupy the resources is avoided. The limiting the resources occupied by the processes includes: network resources, CPU resources, I/O resources, memory resources, etc. are restricted. Unfreezing the plurality of processes means releasing the frozen state of the plurality of processes, that is, the resources occupied by the plurality of processes are not limited. In general, when the background application program downloads a file and plays audio, resources occupied by multiple processes corresponding to the background application program are not limited.
In a common mobile operating system, for example, an Android system is taken as an example, one application program usually includes a plurality of processes, and when the Android system performs resource management, various resources are managed in units of processes. When the resource management is carried out on the processes, if only a single process in one application program is frozen, other processes in an unfrozen state in the application program can wake up the frozen process through inter-process communication, so that the freezing rate of the background process is reduced. In order to improve the freezing rate of the background process, when the background process is frozen, all processes under the same application program need to be frozen.
According to the method, after the user group of the process to be processed is obtained, the multiple processes corresponding to the user group, namely the multiple processes corresponding to the same application program, can be directly obtained, so that the time for searching the processes corresponding to the user group is saved, the efficiency of the processes corresponding to the user group is improved, and the processes corresponding to the user group can be more rapidly frozen or unfrozen.
In one embodiment, after step 308, the method further comprises:
in step 310, the computer device includes a frozen list, which is obtained according to a comparison result of the weights of the plurality of applications.
A frozen list and a non-frozen list can be set in the computer equipment. The frozen list comprises application programs needing to be frozen, and the non-frozen list comprises application programs needing not to be frozen. The frozen list and the non-frozen list are obtained by the computer device according to the comparison result of the weights of the plurality of application programs. The frozen list and the non-frozen list can be manually set by the user, for example, a white list, a black list and the like of the application program set by the user. The computer device obtaining the frozen list according to the comparison result of the weights of the plurality of application programs includes: the computer equipment respectively obtains the weights of the plurality of application programs through a machine learning model, compares the weights of the plurality of application programs in size to obtain a size comparison result, and obtains a frozen list and a non-frozen list according to the size comparison result, wherein the obtaining of the frozen list and the non-frozen list according to the size comparison result comprises at least one of the following methods.
(1) The computer equipment arranges the weights of the plurality of application programs according to the size sequence and divides the application programs with preset serial numbers into a frozen list/a non-frozen list. For example, the computer device arranges the weights of 20 applications in descending order, divides the application with the weight rearranged in the first 5 bits into a non-frozen list, and divides the application with the weight arranged in the last 4 bits into a frozen list.
(2) The computer equipment also acquires the weights of a plurality of application programs, acquires a freezing threshold value/a non-freezing threshold value according to the weights of the application programs, and divides the application programs into a freezing list when the weights of the application programs are lower than the freezing threshold value; and when the weight value of the application program is higher than the non-freezing threshold value, dividing the application program into a non-freezing list. For example, if the average value of the weights of 25 applications obtained by the computer is 0.5, then 0.5 times of the average value is taken as a freezing threshold value, and 1.5 times of the average value is taken as a non-freezing threshold value, then if the threshold value of the application is lower than 0.25, the application is divided into a freezing list; when the threshold of the application is above 0.75, the application is classified into a non-frozen list.
Step 312, updating the weights of the plurality of applications according to a preset time interval, and updating the frozen list according to the updated weights of the plurality of applications.
The computer device may update the weights of the applications at preset time intervals, respectively. The computer device can uniformly update the weight of the application program according to a preset time interval, and the computer device can also respectively update the weight of the application program according to the preset time interval. After updating the weights of the application programs, the computer equipment can compare the weights of the application programs again, and then update the frozen list and/or the non-frozen list according to the comparison result. When the computer equipment updates the frozen list and/or the non-frozen list, if the situation that the application program is changed from the frozen list to the non-frozen list or from the non-frozen list to the frozen list is detected, the changed application program can be displayed to a user, and the user decides whether to change the application program.
According to the method in the embodiment of the application, the freezing list is set in the computer equipment, and the freezing list is continuously updated, so that the computer equipment can dynamically adjust whether the application program is frozen, and the application program is more intelligently frozen by the computer equipment.
In one embodiment, after step 308, the method further comprises:
and step 314, if a termination command for the frozen application program is received, unfreezing the frozen application program, and setting the unfrozen application program to be in an unfreezable state.
And step 316, closing the unfrozen application program according to the termination command.
The frozen application is an application in a CPU frozen state. When the application program is in the CPU frozen state, the application program may occupy hardware resources, processor resources, and the like, and if the computer device resources are in short supply, the computer device may send a termination command to the frozen application program, and close the frozen application program. However, when the application program is in the CPU frozen state, the application program cannot receive any message, and even if the application program in the CPU frozen state is woken up, the application program can be quickly restored to the CPU frozen state after the wake-up, and therefore the application program in the CPU frozen state cannot be closed. The CPU freeze state is a state in which the application is prohibited from using the CPU resource, and for example, when a plurality of processes of the application are in a CPU freeze sleep mode or a process deep freeze mode, the application is in the CPU freeze state. Typically, a computer device will use two sets of code to terminate an application, one for terminating an unfrozen application and the other for terminating a frozen application.
When the computer equipment receives a termination command of a frozen application program, if the frozen application program is detected to be in a CPU frozen state, the application program in the CPU frozen state is unfrozen, and the unfrozen application program is set to be in a non-unfrozen state, the unfrozen application program can correctly respond to the received command. The computer equipment sends the received termination command to the unfrozen application program, so that the unfrozen application program can correctly respond to the termination command, namely the unfrozen application program is closed.
According to the method in the embodiment of the application, the frozen application program can be safely terminated by firstly unfreezing and then terminating the frozen application program, the situation that the application program cannot be terminated is avoided, the frozen application program and the unfrozen application program can be terminated by the computer equipment according to a uniform termination instruction, the compatibility of terminating the frozen application program and terminating the unfrozen application program is realized, the difficulty in software development is reduced, and the mobile operating system is convenient to maintain.
In one embodiment, an application freezing method includes:
(1) and acquiring running information of the application program, wherein the running information comprises the running information of the application program in the foreground of the computer equipment and/or the background of the computer equipment.
(2) The type of the application is obtained.
(3) And acquiring the weight of the application program according to a preset machine learning model, wherein the weight of the application program is acquired according to the running information of the application program and the type of the application program.
(4) And if the weight of the application program accords with a preset rule, freezing the application program.
Optionally, if the weight of the application program meets a preset rule, freezing the application program includes at least one of the following methods: arranging the weights of the plurality of application programs according to the size sequence, and taking the application program with a preset serial number as a frozen application program; the method comprises the steps of obtaining weights of a plurality of application programs, obtaining a freezing threshold according to the weights of the application programs, and freezing the application programs when the weights of the application programs are lower than the freezing threshold.
Optionally, freezing the application comprises: acquiring the time length of the application program entering the background, and determining a corresponding freezing grade according to the time length; and limiting the resources of the application program according to the freezing level.
Optionally, freezing or thawing the application comprises: acquiring a process to be processed, wherein the process to be processed is a process of an application program; acquiring a user group corresponding to a process to be processed, and searching a plurality of processes corresponding to the user group according to the corresponding relation between the user group and the processes; and freezing or unfreezing a plurality of processes corresponding to the user group.
Optionally, after obtaining the type of the application program, further comprising: acquiring the freezing time and the unfreezing time of the application program according to a preset machine learning model; and freezing or unfreezing the application program according to the freezing time schedule.
Optionally, the method further includes: the computer equipment comprises a frozen list, wherein the frozen list is obtained according to the comparison result of the weights of the plurality of application programs; and updating the weights of the plurality of application programs according to a preset time interval, and updating the frozen list according to the updated weights of the plurality of application programs.
Optionally, the method further includes: if a termination command for the frozen application program is received, unfreezing the frozen application program, and setting the unfrozen application program to be in a non-freezing state; and closing the unfrozen application program according to the termination command.
According to the method in the embodiment of the application, the freezing list is set in the computer equipment, and the freezing list is continuously updated, so that the computer equipment can dynamically adjust whether the application program is frozen, and the application program is more intelligently frozen by the computer equipment.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps described above may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least some of the sub-steps or stages of other steps.
Fig. 6 is a block diagram of an embodiment of a freezing device. As shown in fig. 6, an application freezing apparatus includes:
the obtaining module 602 is configured to obtain running information of the application, where the running information includes running information of the application in a foreground of the computer device and/or a background of the computer device, and obtains a type of the application.
The weight determining module 604 is configured to obtain a weight of the application according to a preset machine learning model, where the weight of the application is obtained according to the operation information of the application and the type of the application.
And a freezing module 606, configured to freeze the application program if the weight of the application program meets a preset rule.
In one embodiment, the freezing module 606 freezes the application if the weight of the application meets a predetermined rule, and the method includes at least one of the following methods:
(1) and arranging the weights of the plurality of application programs according to the size sequence, and taking the application program with the preset serial number as a frozen application program.
(2) The method comprises the steps of obtaining weights of a plurality of application programs, obtaining a freezing threshold according to the weights of the application programs, and freezing the application programs when the weights of the application programs are lower than the freezing threshold.
In one embodiment, the freezing module 606 freezes the application including: the method comprises the steps of obtaining the time length of an application program entering a background, determining a corresponding freezing grade according to the time length, and limiting resources of the application program according to the freezing grade.
In one embodiment, the weight determination module 604 is further configured to obtain the freezing time and the thawing time of the application according to a preset machine learning model. The freeze module 606 is also used to freeze or unfreeze the application according to a freeze schedule.
In one embodiment, the freezing module 606 freezes or unfreezes the application including: and acquiring a process to be processed, wherein the process to be processed is the process of the application program. And acquiring a user group corresponding to the process to be processed, and searching a plurality of processes corresponding to the user group according to the corresponding relation between the user group and the processes. And freezing or unfreezing a plurality of processes corresponding to the user group.
Fig. 7 is a block diagram of another embodiment of a freezing device. As shown in fig. 7, an application freezing apparatus includes: an obtaining module 702, a weight determining module 704, a freezing module 706, and an updating module 708. The obtaining module 702, the weight determining module 704, and the freezing module 706 have the same functions as the corresponding modules in fig. 6.
The computer device comprises a frozen list, and the frozen list is obtained according to the comparison result of the weights of the plurality of application programs.
The weight determination module 704 is further configured to update the weights of the plurality of applications according to a preset time interval.
The update module 708 updates the frozen list according to the updated weights of the plurality of applications.
Fig. 8 is a block diagram showing a freezing apparatus according to another embodiment. As shown in fig. 8, an application freezing apparatus includes: an obtaining module 802, a weight determining module 804, a freezing module 806, a unfreezing module 808, and a closing module 810. The obtaining module 802, the weight determining module 804, and the freezing module 806 have the same functions as the corresponding modules in fig. 6.
The unfreezing module 808 is configured to unfreeze the frozen application program and set the unfrozen application program to the non-freezable state if a termination command for the frozen application program is received.
A shutdown module 810 for shutting down the thawed application upon a termination command.
The division of the modules in the application freezing apparatus is only used for illustration, and in other embodiments, the application freezing apparatus may be divided into different modules as needed to complete all or part of the functions of the application freezing apparatus.
For the specific definition of the application freezing means, reference may be made to the above definition of the application freezing method, which is not described in detail here. The modules in the application freezing device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
The implementation of each module in the application freezing apparatus provided in the embodiment of the present application may be in the form of a computer program. The computer program may be run on a terminal or a server. The program modules constituted by the computer program may be stored on the memory of the terminal or the server. Which when executed by a processor, performs the steps of the method described in the embodiments of the present application.
The embodiment of the 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 processors to perform the steps of the application freezing method of embodiments of the present application.
A computer program product comprising instructions which, when run on a computer, cause the computer to perform the steps of an application freezing method in an embodiment of the present application.
The embodiment of the application also provides computer equipment. As shown in fig. 9, for convenience of explanation, only the parts related to the embodiments of the present application are shown, and details of the technology are not disclosed, please refer to the method part of the embodiments of the present application. The computer device may be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), a vehicle-mounted computer, a wearable device, and the like, taking the computer device as the mobile phone as an example:
fig. 9 is a block diagram of a partial structure of a mobile phone related to a computer device provided in an embodiment of the present application. Referring to fig. 9, the handset includes: radio Frequency (RF) circuit 910, memory 920, input unit 930, display unit 940, sensor 950, audio circuit 960, wireless fidelity (WiFi) module 970, processor 980, and power supply 990. Those skilled in the art will appreciate that the handset configuration shown in fig. 9 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The RF circuit 910 may be used for receiving and transmitting signals during information transmission or communication, and may receive downlink information of a base station and then process the downlink information to the processor 980; the uplink data may also be transmitted to the base station. Typically, the RF circuitry includes, but is 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, the RF circuit 910 may also communicate with networks and other devices via wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), 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 may be used to store software programs and modules, and the processor 980 may execute various functional applications and data processing of the mobile phone by operating the 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 program required for at least one function (such as an application program for a sound playing function, an application program for an image playing function, and the like), and the like; the data storage area may store data (such as audio data, an address book, etc.) created according to the use of the mobile phone, and the like. Further, the memory 920 may include high speed random access memory, and may 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 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone 900. Specifically, the input unit 930 may include a touch panel 931 and other input devices 932. The touch panel 931, which may also be referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 931 (e.g., a user operating the touch panel 931 or near the touch panel 931 by using a finger, a stylus, or any other suitable object or accessory), and drive the corresponding connection device according to a preset program. In one embodiment, the touch panel 931 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 980, and can receive and execute commands sent by the processor 980. In addition, the touch panel 931 may be implemented by various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 930 may include other input devices 932 in addition to the touch panel 931. In particular, other input devices 932 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), and the like.
The display unit 940 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The display unit 940 may 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 may overlay the display panel 941, and when the touch panel 931 detects a touch operation thereon or nearby, the touch operation is transmitted to the processor 980 to determine the type of touch event, and then the processor 980 provides a corresponding visual output on the display panel 941 according to the type of touch event. Although in fig. 9, the touch panel 931 and the display panel 941 are two independent components to implement the input and output functions of the mobile phone, in some embodiments, the touch panel 931 and the display panel 941 may be integrated to implement the input and output functions of the mobile phone.
WiFi belongs to short-distance wireless transmission technology, and the mobile phone can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 970, and provides wireless broadband Internet access for the user. Although fig. 9 shows WiFi module 970, it is to be understood that it does not belong to the essential components of cell phone 900 and may be omitted as desired.
The processor 980 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 920 and calling data stored in the memory 920, thereby integrally monitoring the mobile phone. In one embodiment, processor 980 may include one or more processing units. In one embodiment, the processor 980 may integrate an application processor and a modem processor, wherein the application processor primarily handles operating systems, user interfaces, applications, and the like; the modem processor handles primarily wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 980.
The handset 900 also includes a power supply 990 (e.g., a battery) for supplying power to various components, which may preferably be logically connected to the processor 980 via a power management system, such that the power management system may be used to manage charging, discharging, and power consumption.
In one embodiment, the cell phone 900 may also include a camera, a bluetooth module, and the like.
In an embodiment of the present application, the computer device comprises a processor 980 that implements the steps of the application freezing method in an embodiment of the present application when executing a computer program stored on a memory.
Any reference to 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 external cache memory. 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), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (12)
1. An application freezing method, comprising:
acquiring running information of an application program, wherein the running information comprises the running information of the application program in a foreground of computer equipment and/or a background of the computer equipment;
acquiring the type of the application program;
acquiring the weight of the application program and the freezing time and the unfreezing time of the application program according to a preset machine learning model, wherein the weight of the application program is acquired according to the running information of the application program and the type of the application program; the machine learning model can dynamically adjust the relationship among the running information of the application program, the type of the application program and the weight of the application program;
if the weight of the application program accords with a preset rule, freezing and unfreezing the application program according to the freezing moment and the unfreezing moment;
the computer equipment comprises a frozen list and a non-frozen list, wherein the frozen list and the non-frozen list are obtained according to a comparison result of weights of a plurality of application programs, the frozen list comprises the application programs needing to be frozen, and the non-frozen list comprises the application programs not needing to be frozen;
and updating the weights of the plurality of application programs according to a preset time interval, and updating the frozen list and/or the non-frozen list according to the updated weights of the plurality of application programs.
2. The method of claim 1, wherein freezing the application if the weight of the application meets a predetermined rule comprises at least one of:
arranging the weights of the plurality of application programs according to the size sequence, and taking the application program with a preset serial number as a frozen application program;
the method comprises the steps of obtaining weights of a plurality of application programs, obtaining a freezing threshold according to the weights of the application programs, and freezing the application programs when the weights of the application programs are lower than the freezing threshold.
3. The method of claim 1, wherein freezing the application comprises:
acquiring the time length of an application program entering a background, and determining a corresponding freezing grade according to the time length;
and limiting the resources of the application program according to the freezing level.
4. The method of claim 1, wherein freezing or thawing the application comprises:
acquiring a process to be processed, wherein the process to be processed is a process of the application program;
acquiring a user group corresponding to the process to be processed, and searching a plurality of processes corresponding to the user group according to the corresponding relation between the user group and the processes;
and freezing or unfreezing a plurality of processes corresponding to the user group.
5. The method of any of claims 1 to 4, further comprising:
if a termination command for the frozen application program is received, unfreezing the frozen application program, and setting the unfrozen application program to be in an unfreezable state;
and closing the unfrozen application program according to the termination command.
6. An application freezing apparatus, comprising:
the acquisition module is used for acquiring running information of an application program, wherein the running information comprises the running information of the application program in a foreground of the computer equipment and/or a background of the computer equipment; acquiring the type of the application program;
the weight determining module is used for acquiring the weight of the application program and the freezing time and the unfreezing time of the application program according to a preset machine learning model, wherein the weight of the application program is acquired according to the running information of the application program and the type of the application program; the machine learning model can dynamically adjust the relationship among the running information of the application program, the type of the application program and the weight of the application program;
the freezing module is used for freezing and unfreezing the application program according to the freezing moment and the unfreezing moment if the weight of the application program meets a preset rule;
the computer equipment comprises a frozen list and a non-frozen list, wherein the frozen list and the non-frozen list are obtained according to a comparison result of weights of a plurality of application programs, the frozen list comprises the application programs needing to be frozen, and the non-frozen list comprises the application programs not needing to be frozen;
the weight determining module is further configured to update the weights of the plurality of application programs according to a preset time interval;
and the updating module is used for updating the frozen list and/or the non-frozen list according to the updated weights of the plurality of application programs.
7. The apparatus of claim 6, wherein the freezing module is configured to freeze the application if the weight of the application meets a predetermined rule, and the freezing module is configured to at least one of:
arranging the weights of the plurality of application programs according to the size sequence, and taking the application program with a preset serial number as a frozen application program;
the method comprises the steps of obtaining weights of a plurality of application programs, obtaining a freezing threshold according to the weights of the application programs, and freezing the application programs when the weights of the application programs are lower than the freezing threshold.
8. The apparatus of claim 6, wherein the means for freezing is configured to freeze the application program comprising:
acquiring the time length of an application program entering a background, and determining a corresponding freezing grade according to the time length;
and limiting the resources of the application program according to the freezing level.
9. The apparatus of claim 6, wherein the freezing module to freeze or unfreeze the application comprises:
acquiring a process to be processed, wherein the process to be processed is a process of the application program;
acquiring a user group corresponding to the process to be processed, and searching a plurality of processes corresponding to the user group according to the corresponding relation between the user group and the processes;
and freezing or unfreezing a plurality of processes corresponding to the user group.
10. The apparatus of any one of claims 6-9, further comprising:
the unfreezing module is used for unfreezing the frozen application program and setting the unfrozen application program into a non-unfreezable state if a termination command of the frozen application program is received;
and the closing module is used for closing the unfrozen application program according to the termination command.
11. A computer device comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 5.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
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| CN201711480565.4A CN109992364B (en) | 2017-12-29 | 2017-12-29 | Application freezing method and device, computer equipment and computer readable storage medium |
| PCT/CN2018/116420 WO2019128537A1 (en) | 2017-12-29 | 2018-11-20 | Application freezing method, and computer device and computer-readable storage medium |
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| CN110362395B (en) * | 2019-07-22 | 2022-02-08 | Oppo广东移动通信有限公司 | Background program management method and device, computer equipment and storage medium |
| CN110795240A (en) * | 2019-10-18 | 2020-02-14 | Oppo（重庆）智能科技有限公司 | Task management method and device, electronic equipment and computer readable storage medium |
| CN111045809A (en) * | 2019-12-17 | 2020-04-21 | Oppo广东移动通信有限公司 | Application control method and device, electronic equipment and computer readable medium |
| CN111381952B (en) * | 2020-03-12 | 2023-05-12 | 腾讯科技（深圳）有限公司 | Process freezing method, device, terminal and storage medium |
| CN115981830A (en) * | 2021-10-14 | 2023-04-18 | 华为技术有限公司 | Task management method and device |
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| CN106066966A (en) * | 2016-05-31 | 2016-11-02 | 宇龙计算机通信科技(深圳)有限公司 | The display methods freezing application, the display device freezing application and terminal |
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