CN104598315A - Memory managing method, device and terminal - Google Patents
Memory managing method, device and terminal Download PDFInfo
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- CN104598315A CN104598315A CN201410777647.5A CN201410777647A CN104598315A CN 104598315 A CN104598315 A CN 104598315A CN 201410777647 A CN201410777647 A CN 201410777647A CN 104598315 A CN104598315 A CN 104598315A
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Abstract
The invention discloses a memory managing method, device and terminal. The embodiment of the method comprises the steps of obtaining usage habit data of a user for an application program; determining limited application programs based on the usage habit data; managing a memory according to the limited application programs. Managing the memory automatically according to the usage habit of the user for the application program is achieved, the use efficiency of the memory is improved, and the smooth running of a system is guaranteed.
Description
Technical field
The application relates to field of computer technology, is specifically related to field of terminal technology, particularly relates to the method for managing internal memory, device and terminal.
Background technology
Along with the development of science and technology, intelligent terminal is widely used in daily life, becomes important tool indispensable in people's live and work.But in use for some time, the travelling speed of system can become slow to current most of intelligent terminal.This is because some third party application in terminal enables oneself background service and long-term committed memory by various ways.Interconnection network or process data are constantly attempted in these services at running background, and occupy a large amount of cpu resource, make system be in low internal storage state for a long time, thus cause system performance to decline, travelling speed is slack-off, have impact on user and uses normally.
At present, existing a lot of system management facility all have employed the mode of User Defined blacklist, allows the application service that user commonly uses from main separation or is of little use, thus stops the startup of the application service be of little use.
Summary of the invention
But most of domestic consumer does not notice too much to the use habit of oneself, the category attribute for application is not also familiar with accurately.Therefore, they are in the application service selecting to need to pipe off, and do not have the judgment of specialty, this causes the blacklist of Manual definition can't be optimum.On the other hand, the shortage of professional knowledge makes domestic consumer wish to avoid the amendment of system aspects as far as possible.
In order to solve above-mentioned one or more problem, this application provides a kind of method of managing internal memory, device and terminal.
First aspect, this application provides a kind of method of managing internal memory, and described method comprises: the use habit data obtaining user's application programs; Based on described use habit data determination limited applications program; And according to described limited applications program management internal memory.
In some embodiments, describedly determine that limited applications program comprises: the liveness calculating each application program according to described use habit data; And choose application program as described limited applications program according to described liveness.
In some preferred implementation, described in choose application program and comprise following at least one item: the application program choosing predetermined number according to liveness order from low to high; The application program of predetermined ratio is chosen according to liveness order from low to high; And choose the application program of liveness lower than predetermined active value.
In some preferred implementation, described use habit data comprise following at least one the eigenwert in predetermined amount of time: application program is in the working time on foreground; User enters the number of times of application program; And the CPU occupation rate of application program.
In some preferred implementation, the CPU occupation rate of described application program is: in described predetermined amount of time described application program all processes in the highest CPU occupation rate; Or in described predetermined amount of time the average CPU occupation rate of all processes of described application program.
In some preferred implementation, the liveness of each application program of described calculating comprises: the weighted sum calculating described eigenwert is using as described liveness.
In some preferred implementation, the liveness of each application program of described calculating comprises: the weighted sum calculating described eigenwert in this predetermined amount of time is using as this basic liveness; And the liveness of last time and this basic liveness are added liveness as this using predefined weight ratio.
In some preferred implementation, the weight of the liveness of described last time is lower than this weight of basic liveness described.
In some embodiments, describedly determine that limited applications program performs in response to meeting following at least one condition: predetermined amount of time expires; Arrive predetermined instant; And the trigger condition of cleaning internal memory.
In some embodiments, described managing internal memory comprises following at least one item: in response to the trigger condition of satisfied cleaning internal memory, according to described limited applications program cleaning internal memory; And the self-starting of limited applications program corresponding with service according to described limited applications program limit.
In some preferred implementation, described cleaning internal memory comprises: force the service stopping described limited applications program corresponding.
In some preferred implementation, described cleaning internal memory also comprises: force all processes stopping described limited applications program.
In some preferred implementation, described restriction comprises following at least one item: the self-starting cancelling described service is arranged; And in response to the self-starting of described limited applications program corresponding with service being detected, stop described service self-starting.
In some preferred implementation, described prevention comprises: judge whether the described limited applications program of described service correspondence is in user and can feels state; If described limited applications program is in user can feel state, then described service is allowed to start; And if described limited applications program is not in user and can feels state, then stop described service to start.
In some embodiments, described method also comprises: provide operation interface confirm for user and/or adjust described limited applications program.
In some preferred implementation, the use habit data of display application program on described operation interface.
In some preferred implementation, described application program sorts according to the one or more eigenwert in described use habit data.
Second aspect, this application provides a kind of device of managing internal memory, and described device comprises: acquiring unit, for obtaining the use habit data of user's application programs; Determining unit, for based on described use habit data determination limited applications program; And administrative unit, for according to described limited applications program management internal memory.
In some embodiments, described determining unit comprises: computation subunit, for calculating the liveness of each application program according to described use habit data; Choose subelement, for choosing application program according to described liveness as described limited applications program.
In some preferred implementation, described in choose subelement and to be configured for according to following at least one item to choose application program: the application program choosing predetermined number according to liveness order from low to high; The application program of predetermined ratio is chosen according to liveness order from low to high; And choose the application program of liveness lower than predetermined active value.
In some preferred implementation, described use habit data comprise following at least one the eigenwert in predetermined amount of time: application program is in the working time on foreground; User enters the number of times of application program; And the CPU occupation rate of application program.
In some preferred implementation, the CPU occupation rate of described application program is: in described predetermined amount of time described application program all processes in the highest CPU occupation rate; Or in described predetermined amount of time the average CPU occupation rate of all processes of described application program.
In some preferred implementation, described computation subunit is configured for by calculating liveness as follows: the weighted sum calculating described eigenwert is using as described liveness.
In some preferred implementation, described computation subunit is configured for by calculating liveness as follows: the weighted sum calculating described eigenwert in this predetermined amount of time is using as this basic liveness; And the liveness of last time and this basic liveness are added liveness as this using predefined weight ratio.
In some preferred implementation, the weight of the liveness of described last time is lower than this weight of basic liveness described.
In some embodiments, described determining unit is configured for perform in response to meeting following at least one condition and describedly determines: predetermined amount of time expires; Arrive predetermined instant; And the trigger condition of cleaning internal memory.
In some embodiments, described administrative unit comprises at least one subelement following: cleaning subelement, for the trigger condition in response to satisfied cleaning internal memory, according to described limited applications program cleaning internal memory; And siding stopping unit, for the self-starting of limited applications program corresponding with service according to described limited applications program limit.
In some preferred implementation, described cleaning subelement is configured for the service forcing to stop described limited applications program corresponding.
In some preferred implementation, described cleaning subelement is also configured for all processes forcing to stop described limited applications program.
In some preferred implementation, described siding stopping unit comprises at least one module following: modified module, arranges for the self-starting cancelling described service; And prevention module, in response to the self-starting described limited applications program corresponding with service being detected, stop described service self-starting.
In some preferred implementation, described prevention block configuration is used for stoping service self-starting by the following: judge whether the described limited applications program of described service correspondence is in user and can feels state; And be not in user in response to described limited applications program and can feel state, stop described service to start.
In some embodiments, described device also comprises: boundary element, for providing operation interface for user's confirmation and/or adjusting described limited applications program.
In some preferred implementation, the use habit data of display application program on described operation interface.
In some preferred implementation, described application program sorts according to the one or more eigenwert in described use habit data.
The third aspect, this application provides a kind of terminal, comprising: the device described in any one possible implementation of second aspect or second aspect.
The method of the managing internal memory that the application provides, device and terminal are by the use habit of study user application programs, determine limited applications program, and internally deposit into line pipe reason based on limited applications program, thus improve the service efficiency of internal memory, ensure that the fluency of system cloud gray model.
Accompanying drawing explanation
By reading the detailed description done non-limiting example done with reference to the following drawings, the other features, objects and advantages of the application will become more obvious:
Fig. 1 is the process flow diagram of an embodiment of the method for the managing internal memory that the application provides;
Fig. 2 is the schematic diagram of hover button on the terminal screen that provides of the embodiment of the present application;
Fig. 3 is the process flow diagram of an embodiment of the method based on use habit data determination limited applications program that the application provides;
Fig. 4 is the process flow diagram of an embodiment of the method for the self-starting of the prevention limited applications program corresponding with service that the application provides;
Fig. 5 is the schematic diagram of the operation interface of the confirmation that provides of the embodiment of the present application and/or adjustment limited applications program; And
Fig. 6 is the structural representation of an embodiment of the device of the managing internal memory that the application provides.
Embodiment
Below in conjunction with drawings and Examples, the application is described in further detail.Be understandable that, specific embodiment described herein is only for explaining related invention, but not the restriction to this invention.It also should be noted that, for convenience of description, in accompanying drawing, illustrate only the part relevant to Invention.
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the application in detail in conjunction with the embodiments.
The method of the managing internal memory of the application can be applied to various terminal, and these terminals can run third party's service, and the screen had for showing information is to carry out with user alternately.Terminal can include but not limited to smart mobile phone, panel computer, personal digital assistant, Intelligent worn device, pocket computer on knee and desktop computer etc.Describe object and for simplicity for example, in ensuing discussion, combined with intelligent mobile phone describes the exemplary embodiment of the application.
Please refer to Fig. 1, it illustrates the flow process 100 of an embodiment of the method for the managing internal memory according to the application.
As shown in Figure 1, in a step 101, the use habit data of user's application programs are obtained.
Generally speaking, application program is a kind of third-party application software be arranged in terminal.Application program run in the user mode, can with user interactions, there is visual user interface usually.Each application program can enable multiple process, may comprise multiple services (service processes) of this application program in these processes.After closing application program, some service of its correspondence still may keep running status on backstage.Such as, certain video playback application program has UI (User Interface, user interface) process and other multiple service processes.After user closes this video playback application program, UI process is out of service, but other some service processess still at running background, such as, may obtain some data-pushing to user from server.Therefore, after user closes this video playback application program, this program still can push some message about hot video to user.Application program resides in internal memory in this way, consumes system ample resources.
In the present embodiment, use habit data reflect the use habit of user's application programs.The use habit of user's application programs can be reflected by the service condition of counting user application programs within certain time period.Be appreciated that the time period of statistics is longer, more can reflect the use habit of user truly.Use habit data such as can comprise the related data that reflection user uses the frequency of each application program within a predetermined period of time; Also the related data that reflection user uses the time span of each application program within a predetermined period of time can be comprised; Can also comprise reflection within a predetermined period of time, each application program is to the related data of the situation that takies of CPU.Application program except front stage operation takies except higher CPU, and when the service that certain application program is corresponding runs across program, this application program also occupies higher CPU.Because although front stage operation is other application program, service corresponding to this application program is also simultaneously in operation with execute the task.Such as, user, when reading electronic book, can use the application program of translation to carry out screen word-selecting simultaneously, and now, at front stage operation is e-book reading application program, but the service corresponding to application program of translation is also in operation.So the application program of translation also occupies higher CPU.Therefore, application program also can reflect the use habit of user to the situation that takies of CPU.Be appreciated that use habit data can comprise the data that can reflect arbitrarily above-mentioned situation, the application is to not limiting in this respect.
Alternatively, in certain embodiments, use habit data specifically can comprise following at least one the eigenwert in predetermined amount of time: application program is in the working time on foreground, and user enters the number of times of application program and the CPU occupation rate of application program.
In the present embodiment, the working time of application program on foreground can be obtained by different modes.Such as, in one implementation, can when each application program enters front stage operation, start timer and start timing, and when application program exits front stage operation, stop the timing of timer, obtain the working time of each application program on foreground from timer.Then, can by application program each in predetermined amount of time be added in the working time on foreground, in acquisition predetermined amount of time, application program is in the T.T. of the operation on foreground.
In another kind of implementation, also can record each application program respectively and enter moment of front stage operation and exit the moment of front stage operation, using the mistiming between above-mentioned two moment as the working time of each application program on foreground.And can by application program each in predetermined amount of time was added in the working time on foreground, in acquisition predetermined amount of time, application program is in the T.T. of the operation on foreground.Be appreciated that and also have other to obtain the mode of application program in the working time on foreground, the application is to not limiting in this respect.
In the present embodiment, also the number of times that user enters application program can be obtained by different modes.Such as, can after each application program enter front stage operation, when this application program exits front stage operation, the counting how many times of its correspondence increases by 1.Be appreciated that the mode also having other acquisition users to enter the number of times of application program, the application is to not limiting in this respect.
The CPU occupation rate of application program reflects application program and takies situation to CPU.The CPU occupation rate of application program can be the highest CPU occupation rate in all processes of this application program within a predetermined period of time, also can be the average CPU occupation rate of all processes of this application program within a predetermined period of time.Be appreciated that and anyly can reflect that application program all can as the CPU occupation rate of application program to the data of the situation that takies of CPU, the application is to not limiting in this respect.
Such as, when obtaining the CPU occupation rate of application program, first can obtain the set of all processes that each application program comprises, the CPU occupation rate of each process that then computing application program is corresponding, get the CPU occupation rate of wherein the highest CPU occupation rate as this application program, or the mean value of CPU occupation rate getting each process corresponding to application program is as the CPU occupation rate of this application program.
In certain embodiments, the use habit data of user's application programs can be obtained constantly.Such as, when user uses the use habit starting supervisory user during terminal first.Be appreciated that the restriction due to memory capacity, can only the use habit data of memory limited.In certain embodiments, the use habit data in nearest a period of time can be preserved all the time, such as, in one day, in one week interior or longer or shorter time.In further embodiments, the use habit data of some can be preserved all the time.Depend on terminal is installed/quantity of application program that need monitor, the time period length involved by use habit data of preserving also may be not quite similar.Such as, when number of applications is more, may can only preserve the use habit data in shorter a period of time recently; And when number of applications is less, the use habit data in longer a period of time recently can be preserved.
Then, in a step 102, based on above-mentioned use habit data determination limited applications program.
In the present embodiment, application program less for user's every day use can be defined as limited applications program.Because use habit data reflect the use habit of user's application programs within certain time period, therefore, according to use habit data determination limited applications program, the application program that user is of little use can be determined intelligently, and without the need to the application program that user Manual definition is of little use, such as Manual definition's blacklist.
Finally, in step 103, according to above-mentioned limited applications program management internal memory.
In the one of the present embodiment realizes, can the limited applications program determined be listed in restricted list (as blacklist), carry out managing internal memory according to restricted list.In another implementation, also can identify the limited applications program determined, the mark according to limited applications program carrys out managing internal memory.Be appreciated that the mode that can also have other records or mark limited applications program, the application is to not limiting in this respect.
In the present embodiment, managing internal memory can comprise following at least one item: in response to the trigger condition of satisfied cleaning internal memory, according to limited applications program cleaning internal memory; And the self-starting of restriction limited applications program corresponding with service.
The trigger condition of cleaning internal memory can include but not limited to: free memory is lower than default memory value (such as, 100MB); The service processes quantity run exceedes present count value (such as, 55); And the scheduled operation of user.The first two condition depends on the state of terminal, and a rear condition depends on the wish of user, if be also that user wants to clear up internal memory at any time, just can perform the scheduled operation of cleaning internal memory.In certain embodiments, user clears up the scheduled operation of internal memory can be pressing pre-set button.Fig. 2 shows the exemplary realization of one of the pre-set button that the embodiment of the present application provides, and is also the hover button on terminal screen.As shown in Figure 2, click the hover button on screen, the operation of cleaning internal memory can be triggered.In further embodiments, the scheduled operation that user clears up internal memory also can be the operation of closing screen, carries out the cleaning of internal memory after also namely closing screen.In other embodiment, the scheduled operation that user clears up internal memory can also be the menu option that user chooses cleaning internal memory from the menu of operation interface.Be appreciated that the scheduled operation that user clears up internal memory can also be the operation of other form, can be arranged by the concrete form of user interface to scheduled operation, the application is to not limiting in this respect.
The method of the managing internal memory that above-described embodiment of the application provides, by the use habit of study user application programs, determine limited applications program, and internally deposit into line pipe reason based on limited applications program, thus improve the service efficiency of internal memory, ensure that the fluency of system cloud gray model.
With further reference to Fig. 3, it illustrates the process flow diagram of an embodiment of the method based on use habit data determination limited applications program that the application provides, is also the flow process 200 of an embodiment of the step 102 in Fig. 1.
As shown in Figure 3, in step 301, the liveness of each application program is calculated according to use habit data.
In the present embodiment, the liveness of application program embodies the utilization rate of this application program.Such as, within a predetermined period of time, the number of times that user enters certain application program is more, or use the time of this application program longer, or the CPU that this application program takies more (illustrating that this application program is run across program at front stage operation or service corresponding to this application program), then this application program utilization rate is within a predetermined period of time higher, and liveness is larger.
Preferably, use habit data comprise the following characteristics value in predetermined amount of time: application program is in the working time on foreground; User enters the number of times of application program; And the CPU occupation rate of application program.For convenience of description, not anti-hypothesis is in predetermined amount of time T: certain application program is t in the working time on foreground, and the number of times that user enters this application program is c, and the CPU occupation rate of this application program is u.
In one implementation, the liveness calculating each application program comprises: calculate the weighted sum of each eigenwert in use habit data using the liveness as this application program.Comprise above-mentioned eigenwert for use habit data, in this implementation, the liveness of certain application program can be expressed as:
Wherein, S is the liveness of this application program, ω
1for the weight that the front stage operation time of this application program is shared in the calculation, T is the time span of predetermined amount of time, ω
2the weight that the number of times entering this application program for user is shared in the calculation, C is the total degree that in predetermined amount of time, user enters all application programs, ω
3for the weight that the CPU occupation rate of this application program is shared in the calculation.
In the present embodiment, ω
1, ω
2, ω
3for empirical value, the fitting experimental data that can be obtained by many experiments is also adjusted.In one implementation, ω can be got
1=80, ω
2=110, ω
3=1.Be appreciated that ω
1, ω
2, ω
3can also get other value, the application is to ω
1, ω
2, ω
3value aspect do not limit.
In another implementation, the liveness of computing application program is except the weighted sum (can be called this basic liveness) will considering above-mentioned eigenwert in this predetermined amount of time, also to consider the liveness of last time, that is, the liveness of last time is added as this liveness using predefined weight ratio with this basic liveness.In one embodiment, this liveness of application program can be:
S＝(1-ν)*S
1+ν*S
2(2)
Wherein, S is this liveness, S
1for this basic liveness, the weight that the basic liveness that (1-ν) is this is shared in the calculation, S
2for the liveness of last time, ν is the shared in the calculation weight (S of liveness last time
1can calculate according to formula (1)).Be appreciated that this liveness S may be used in the calculating of next liveness.
In the present embodiment, ν is empirical value, the fitting experimental data that can be obtained by many experiments is also adjusted, preferably, last time liveness weight lower than the weight weight ν < 0.5 of liveness (i.e. last time) of this basic liveness.Be appreciated that the value of ν can have multiple, the value aspect of the application to ν does not limit.
Consider that the length of the time period at every turn calculating the use habit data involved by liveness may be inconsistent, in certain embodiments, can be normalized liveness, such as unification with a fixing duration (such as, 24 hours) calculate liveness for standard, thus be convenient to directly utilize history liveness to upgrade current active degree.In further embodiments, can when needs utilize history liveness to spend to upgrade current active, according to time period length involved in the calculating of history liveness, history liveness is scaled in proportion the value of the time period length met involved by the calculating of current active degree, and then uses the value after converting to upgrade current active degree.
In the various embodiments described above, by considering the liveness of last time, avoid the use habit that single liveness accurately can not reflect user.User is longer for service time, and the liveness of the application program determined by study user habit is more accurate, also more accurate in the selection of managing internal memory (such as, stopping the process etc. of application program) aspect, effectively can promote Consumer's Experience.
Finally, in step 302, application program is chosen as limited applications program according to liveness.
In the present embodiment, based on selecting the less application program of liveness to choose application program as the principle of limited applications program, the application program that limited subscriber seldom uses also namely is needed.In one implementation, several minimum (predetermined number) application programs of liveness can be chosen as limited applications program.Specifically, first sort according to liveness application programs, then choose the application program of predetermined number as limited applications program according to liveness order from low to high.Wherein, the number of the limited applications program chosen can be system default, and also can be that user presets, such as, user interface by providing sets, and the application does not limit the number of limited applications program and the mode that arranges this number.
In another implementation, the application program of certain minimum ratio of liveness (predetermined ratio, as 20%) can be chosen as limited applications program.Specifically, be also first sort according to liveness application programs, then calculate the number n needing the application program chosen according to predetermined ratio, then choose n application program as limited applications program according to liveness order from low to high.Wherein, the limited applications program proportion chosen can be system default, and also can be that user presets, such as, user interface by providing sets, and the application does not limit choosing ratio and arranging this mode choosing ratio.
In another realizes, the application program of liveness lower than predetermined active value can also be chosen as limited applications program.In this implementation, do not need application programs to sort, and predetermined active value can be system default, also can be that user presets, the application does not limit the mode chosen predetermined active value and arrange this predetermined active value equally.
In some Alternate embodiments, determine that limited applications program can perform in response to meeting following at least one condition: predetermined amount of time expires; Arrive predetermined instant; And the trigger condition of cleaning internal memory.
Specifically, in the one of the present embodiment realizes, one-period T0 can be preset, during each period expires, just perform the step determining limited applications program, to ensure that constantly the use habit new according to user upgrades limited applications program.Cycle is longer, and the user habit shown is incited somebody to action more accurately and stablized.In one example, the cycle can be 24 hours.User interface can be provided to set the above-mentioned cycle for user.
In another implementation, can preset one or more moment, these predetermined moment can be the moment that user uses terminal many, such as at 1 at noon or at 9 in evening etc.During every predetermined instant, just perform the step determining limited applications program.User interface can be provided to set the above-mentioned moment for user.
In another realizes, when the trigger condition of satisfied cleaning internal memory, perform the step determining limited applications program, then according to the limited applications program cleaning internal memory determined.Wherein, the trigger condition of clearing up internal memory can include but not limited to as previously mentioned: free memory is lower than default memory value; The service processes quantity run exceedes present count value; And the scheduled operation of user.Upgrade limited applications program when Installed System Memory is poor, the application program that system can be made to clear up user as early as possible seldom use, vacates more internal memory, makes system break away from low internal storage state as early as possible, improve system performance.User interface can be provided to set above-mentioned trigger condition for user.
As previously mentioned, following at least one item can be comprised according to limited applications program management internal memory: in response to the trigger condition of satisfied cleaning internal memory, according to limited applications program cleaning internal memory; And the self-starting of restriction limited applications program corresponding with service.
Some application programs are after closedown, and some service of its correspondence still may keep running status on backstage.Application program resides in internal memory in this way, consumes system ample resources.Therefore, in some Alternate embodiments, cleaning internal memory can comprise the service forcing to stop limited applications program corresponding.Like this, can be of little use but core resident service pressure stopping, thus free system resources, ensure the fluency of system cloud gray model.In embodiment further, cleaning internal memory can also comprise all processes forcing to stop limited applications program.
In some cases, even if some service processes is temporarily killed when system such as clears up internal memory due to low internal memory, but may be restarted again when internal memory is enough, resume internal memory, make system again enter low internal storage state.Like this, system is busy with the service of killing, is started the operation of service, and have little time to react the operation of user, system cloud gray model is not smooth, has had a strong impact on Consumer's Experience.
For this situation, the managing internal memory of the embodiment of the present application can also comprise the self-starting of restriction limited applications program corresponding with service.In some Alternate embodiments, the self-starting of restriction limited applications program corresponding with service can comprise following at least one item: the self-starting cancelling limited applications program corresponding with service is arranged; And in response to the self-starting of limited applications program corresponding with service being detected, stop this service self-starting.
Specifically, service corresponding to application program may pre-set self-starting, service is started automatically, in the present embodiment under certain condition, arranged by the self-starting cancelling limited applications program corresponding with service, thus limit the self-starting of limited applications program corresponding with service.Depend on concrete setting, the self-starting cancelling limited applications program corresponding with service arranges the setting that can comprise amendment application program and serves self-starting function to forbid, and also can comprise the setting of amendment system to forbid the self-starting function of corresponding with service.
With further reference to Fig. 4, it illustrates the flow process 400 of an embodiment of the method for the self-starting of the prevention limited applications program corresponding with service that the application provides, this flow process performs in response to self-starting limited applications program corresponding with service being detected.
As shown in Figure 4, in step 401, whether the limited applications program judging to serve correspondence is in user can be felt state.
In the present embodiment, this application program of state description can be felt used by user if limited applications program corresponding to service is in user.User can feel user interface that state comprises foreground state and application program and to exit but background service is processing the task that user can experience, as play music etc.In order to prevent the service of application program and its correspondence used by user to be forced closed, and bringing unnecessary trouble to user, needing first to judge whether the limited applications program of serving correspondence is in user and can feels state.
Then, in step 402a, if limited applications program is in user can feel state, then the service of its correspondence is allowed to start.
Or, in step 402b, if limited applications program is not in user can feel state, then stop the service of its correspondence to start.
It should be noted that, in order to the service of the application program that prevents some important is when running background, is not forced closed, a list (i.e. white list) of can letting pass can be pre-set, when determining limited applications program, the application program can let pass in list can not be considered.List of can letting pass can be system default, and user interface also can be provided for user to set the application program can let pass in list.Such as, some system class application programs, prestrain class application program, translation class application program, input method class application program etc. can be set to the application program can let pass in list.
In some Alternate embodiments, operation interface can also be provided to confirm for user and/or adjustment limited applications program.
Further, this operation interface shows the use habit data of all application programs.Each application program all indicate this application the foreground time, enter number of times and CPU usage, user can understand the service condition of application program by these eigenwerts.Alternatively, application program can be successively decreased or sort ascending according to the one or more eigenwert in use habit data.
Fig. 5 shows the operation interface schematic diagram confirming and/or adjust limited applications program.As shown in Figure 5, user can by the operation acknowledgement on operation interface and/or adjustment limited applications program (application program in blacklist).Fig. 5 shows blacklist (being also limited applications program), white list (application program of also can letting pass) and all application three tab.Such as, user can select " all application " tab, and the use habit data of all application programs and correspondence thereof can show by interface.In the option of " sequence " a line, can select with which kind of eigenwert to sort, e.g., according to the foreground time, enter number of times or CPU occupation rate sorts.If selection All Eigenvalues, then according to the liveness sequence calculated based on these eigenwerts.User can choose out the application program wanting to put into blacklist or white list, and then optional m igration is to blacklist or white list.
In certain embodiments, in response to determining limited applications program, can provide or push a notice or message to user, automatically determining limited applications program to point out user.Then, user can enter the operation interface confirming and/or adjust limited applications program, manually to adjust limited applications program by predetermined operation (as clicked ACK button or clicking notification message).By this artificial adjustment, can avoid or reduce the determination of mistake.
Although it should be noted that the operation describing the inventive method in the accompanying drawings with particular order, this is not that requirement or hint must perform these operations according to this particular order, or must perform the result that all shown operation could realize expectation.On the contrary, the step described in process flow diagram can change execution sequence.Additionally or alternatively, some step can be omitted, multiple step be merged into a step and perform, and/or a step is decomposed into multiple step and perform.
With further reference to Fig. 6, it illustrates the structural representation of an embodiment of the device of the managing internal memory according to the application.
As shown in Figure 6, the device 600 of the managing internal memory of the present embodiment comprises: acquiring unit 601, determining unit 602 and administrative unit 603.Wherein, acquiring unit 601 is for obtaining the use habit data of user's application programs.Determining unit 602 is for based on above-mentioned use habit data determination limited applications program.Administrative unit 603 is for according to above-mentioned limited applications program management internal memory.
In some Alternate embodiments, determining unit 602 comprises computation subunit and chooses subelement (not shown).Wherein, computation subunit is used for the liveness calculating each application program according to use habit data.Choose subelement for choosing application program as limited applications program according to above-mentioned liveness.
In some Alternate embodiments, choose subelement and to be configured for according to following at least one item to choose application program: the application program choosing predetermined number according to liveness order from low to high; The application program of predetermined ratio is chosen according to liveness order from low to high; And choose the application program of liveness lower than predetermined active value.
In some Alternate embodiments, use habit data comprise following at least one the eigenwert in predetermined amount of time: application program is in the working time on foreground; User enters the number of times of application program; And the CPU occupation rate of application program.
In some Alternate embodiments, the CPU occupation rate of application program is: in above-mentioned predetermined amount of time application program all processes in the highest CPU occupation rate; Or in above-mentioned predetermined amount of time the average CPU occupation rate of all processes of application program.
In some Alternate embodiments, computation subunit is configured for by calculating liveness as follows: the weighted sum calculating above-mentioned eigenwert is using as liveness.
In some Alternate embodiments, computation subunit is configured for by calculating liveness as follows: the weighted sum calculating above-mentioned eigenwert in this predetermined amount of time is using as this basic liveness.And the liveness of last time and this basic liveness are added liveness as this using predefined weight ratio.
In some Alternate embodiments, the weight of the liveness of last time is lower than the weight of this basic liveness.
In some Alternate embodiments, determining unit 602 is configured for perform in response to meeting following at least one condition above-mentionedly to be determined: predetermined amount of time expires; Arrive predetermined instant; And the trigger condition of cleaning internal memory.
In some Alternate embodiments, administrative unit 603 comprises at least one subelement following: cleaning subelement and siding stopping unit (not shown), wherein, cleaning subelement is used for the trigger condition in response to satisfied cleaning internal memory, according to limited applications program cleaning internal memory.Siding stopping unit is used for the self-starting according to this limited applications program corresponding with service of limited applications program limit.
In some Alternate embodiments, cleaning subelement is configured for the service forcing to stop above-mentioned limited applications program corresponding.
In some Alternate embodiments, cleaning subelement also configures all processes forcing to stop above-mentioned limited applications program.
In some Alternate embodiments, siding stopping unit comprises at least one module following: modified module and prevention module (not shown), modified module is arranged for the self-starting cancelling above-mentioned service.Stop module to be used in response to self-starting limited applications program corresponding with service being detected, stop described service self-starting.
In some Alternate embodiments, block configuration is stoped to be used for stoping service self-starting by the following: to judge whether the limited applications program of above-mentioned service correspondence is in user and can feels state; And be not in user in response to this limited applications program and can feel state, stop corresponding with service to start.
In some Alternate embodiments, device 600 also comprises boundary element (not shown), and boundary element is used for providing operation interface to confirm for user and/or adjustment limited applications program.
In some Alternate embodiments, the use habit data of display application program on operation interface.
In some Alternate embodiments, application program sorts according to the one or more eigenwert in use habit data.
Should be appreciated that all unit or the module of record in device 600 are corresponding with each step in the method described with reference to figure 1-5.Thus, above for the unit that operation and the feature of method description are equally applicable to device 600 and wherein comprise, do not repeat them here.Device 600 can pre-set in the terminal, also can be loaded in terminal by modes such as downloads.Corresponding units in device 600 can cooperatively interact the scheme realizing managing internal memory with the unit in terminal.
Present invention also provides a kind of terminal, this terminal comprises the device of above-mentioned managing internal memory.In the present embodiment, this terminal includes but not limited to smart mobile phone, panel computer, personal digital assistant, Intelligent worn device, pocket computer on knee and desktop computer etc.
Be described in unit module involved in the embodiment of the present application to be realized by the mode of software, also can be realized by the mode of hardware.Described unit module also can be arranged within a processor, such as, can be described as: a kind of processor comprises acquiring unit, determining unit, administrative unit.Wherein, the title of these unit modules does not form the restriction to this unit module itself under certain conditions, and such as, acquiring unit can also be described to " for obtaining the unit of the use habit data of user's application programs ".
As another aspect, present invention also provides a kind of computer-readable recording medium, this computer-readable recording medium can be the computer-readable recording medium comprised in device described in above-described embodiment; Also can be individualism, be unkitted the computer-readable recording medium allocated in terminal.Described computer-readable recording medium stores more than one or one program, and described program is used for performance description in the method for the managing internal memory of the application by one or more than one processor.
More than describe and be only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art are to be understood that, invention scope involved in the application, be not limited to the technical scheme of the particular combination of above-mentioned technical characteristic, also should be encompassed in when not departing from described inventive concept, other technical scheme of being carried out combination in any by above-mentioned technical characteristic or its equivalent feature and being formed simultaneously.The technical characteristic that such as, disclosed in above-mentioned feature and the application (but being not limited to) has similar functions is replaced mutually and the technical scheme formed.
Claims (20)
1. a method for managing internal memory, is characterized in that, described method comprises:
Obtain the use habit data of user's application programs;
Based on described use habit data determination limited applications program; And
According to described limited applications program management internal memory.
2. method according to claim 1, is characterized in that, describedly determines that limited applications program comprises:
The liveness of each application program is calculated according to described use habit data; And
Application program is chosen as described limited applications program according to described liveness.
3. method according to claim 2, is characterized in that, described in choose application program and comprise following at least one item:
The application program of predetermined number is chosen according to liveness order from low to high;
The application program of predetermined ratio is chosen according to liveness order from low to high; And
Choose the application program of liveness lower than predetermined active value.
4. method according to claim 2, is characterized in that, described use habit data comprise following at least one the eigenwert in predetermined amount of time:
Application program is in the working time on foreground;
User enters the number of times of application program; And
The CPU occupation rate of application program.
5. method according to claim 4, is characterized in that, the CPU occupation rate of described application program is:
In described predetermined amount of time described application program all processes in the highest CPU occupation rate; Or
The average CPU occupation rate of all processes of described application program in described predetermined amount of time.
6. method according to claim 4, is characterized in that, the liveness of each application program of described calculating comprises: the weighted sum calculating described eigenwert is using as described liveness.
7. method according to claim 4, is characterized in that, the liveness of each application program of described calculating comprises:
The weighted sum calculating described eigenwert in this predetermined amount of time is using as this basic liveness; And
The liveness of last time and this basic liveness are added liveness as this using predefined weight ratio.
8. method according to claim 7, is characterized in that, the weight of the liveness of described last time is lower than this weight of basic liveness described.
9. method according to claim 1, is characterized in that, describedly determines that limited applications program performs in response to meeting following at least one condition:
Predetermined amount of time expires;
Arrive predetermined instant; And
The trigger condition of cleaning internal memory.
10. method according to claim 1, is characterized in that, described managing internal memory comprises following at least one item:
In response to the trigger condition of satisfied cleaning internal memory, according to described limited applications program cleaning internal memory; And
The self-starting of limited applications program corresponding with service according to described limited applications program limit.
11. methods according to claim 10, is characterized in that, described cleaning internal memory comprises:
Force the service stopping described limited applications program corresponding.
12. methods according to claim 11, is characterized in that, described cleaning internal memory also comprises:
Force all processes stopping described limited applications program.
13. methods according to claim 10, is characterized in that, described restriction comprises following at least one item:
The self-starting cancelling described service is arranged; And
In response to the self-starting described limited applications program corresponding with service being detected, stop described service self-starting.
14. methods according to claim 13, is characterized in that, described prevention comprises:
Judge whether the described limited applications program of described service correspondence is in user and can feels state;
If described limited applications program is in user can feel state, then described service is allowed to start; And
If described limited applications program is not in user can feel state, then described service is stoped to start.
15. methods according to claim 1, is characterized in that, described method also comprises:
Operation interface is provided to confirm for user and/or adjust described limited applications program.
16. methods according to claim 15, is characterized in that, the use habit data of display application program on described operation interface.
17. methods according to claim 16, is characterized in that, described application program sorts according to the one or more eigenwert in described use habit data.
The device of 18. 1 kinds of managing internal memories, is characterized in that, described device comprises:
Acquiring unit, for obtaining the use habit data of user's application programs;
Determining unit, for based on described use habit data determination limited applications program; And
Administrative unit, for according to described limited applications program management internal memory.
19. devices according to claim 18, is characterized in that, described administrative unit comprises at least one subelement following:
Cleaning subelement, for the trigger condition in response to satisfied cleaning internal memory, according to described limited applications program cleaning internal memory; And
Siding stopping unit, for the self-starting of limited applications program corresponding with service according to described limited applications program limit.
20. 1 kinds of terminals, is characterized in that, comprise according to the arbitrary described device of claim 18-19.
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|---|---|---|---|---|
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6910210B1 (en) * | 1998-11-24 | 2005-06-21 | Microsoft Corp. | System and method for terminating applications |
| CN102521041A (en) * | 2011-12-14 | 2012-06-27 | 华为终端有限公司 | Method for processing application program and wireless handheld device |
| CN102866908A (en) * | 2012-07-25 | 2013-01-09 | 广东欧珀移动通信有限公司 | Method for cleaning Android background applications and services |
| CN104199733A (en) * | 2014-09-05 | 2014-12-10 | 广州金山网络科技有限公司 | Disabling method and device for application program processes |
-
2014
- 2014-12-12 CN CN201410777647.5A patent/CN104598315A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6910210B1 (en) * | 1998-11-24 | 2005-06-21 | Microsoft Corp. | System and method for terminating applications |
| CN102521041A (en) * | 2011-12-14 | 2012-06-27 | 华为终端有限公司 | Method for processing application program and wireless handheld device |
| CN102866908A (en) * | 2012-07-25 | 2013-01-09 | 广东欧珀移动通信有限公司 | Method for cleaning Android background applications and services |
| CN104199733A (en) * | 2014-09-05 | 2014-12-10 | 广州金山网络科技有限公司 | Disabling method and device for application program processes |
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Application publication date: 20150506 |