CN104536813B - The acceleration method and device of calculating equipment - Google Patents

Abstract

The present invention provides an acceleration method and device for a computing device, the method comprising: obtaining state parameters of the computing device; selecting a corresponding acceleration strategy from a preset acceleration strategy list according to the obtained state parameters; the preset The acceleration strategy includes: an acceleration strategy for optimizing the computing device; and/or, an acceleration strategy for cleaning the computing device; using the selected acceleration strategy to accelerate the computing device and using the selected acceleration strategy to accelerate the computing device . By adopting the technical solution of the present invention, different acceleration strategies can be selected to accelerate the computing devices according to the different state parameters of different computing devices. In this way, on the one hand, the selected acceleration strategy can be adapted to the specific state of each computing device, and the acceleration effect can be improved. On the other hand, useless acceleration strategies for a computing device are avoided, and resource waste is avoided.

Description

Acceleration method and device for computing device

technical field

The invention relates to the technical field of computers, in particular to an acceleration method and device for computing equipment.

Background technique

With the development of science and technology, people's daily life, study and entertainment rely more and more on various applications. For example, through various address book applications, such as WeChat or text messages, you can communicate with friends, colleagues or family members without space and time constraints. Another example is to timely obtain various news information or watch entertainment programs through various video software, and to relax physically and mentally through various game applications. On the one hand, with the continuous emergence of various new applications, the number of applications installed in computing devices is increasing; on the other hand, a single application has more and more functions. All of these may cause a large amount of system resources to be occupied, resulting in a slowdown in the running speed or booting speed of the computing device.

In order to improve the running speed or booting speed of the computing device, various applications for accelerating the computing device appear. The principle of acceleration for accelerated applications is basically the same. After receiving the trigger from the user, the computing device is accelerated according to a fixed acceleration strategy.

However, the reality is that due to the different configurations of each computing device and the different usage habits of users, using the same acceleration strategy for different computing devices to accelerate often cannot achieve the desired effect, and the implementation of useless acceleration strategies will also lead to Waste of system resources.

Contents of the invention

One object of the present invention is to solve the above-mentioned technical problems.

In a first aspect, the present invention provides an acceleration device for a computing device, including:

An acquisition module, configured to acquire state parameters of the computing device;

The selection module is used for selecting the corresponding acceleration strategy from the preset acceleration strategy according to the acquired state parameters acquired by the acquisition module; the preset acceleration strategy includes: an acceleration strategy for optimizing the computing device ; and/or, acceleration policies for cleaning computing devices;

An acceleration module, configured to use the acceleration strategy selected by the selection module to accelerate the computing device.

Optionally, the selection module is configured to determine an abnormal state parameter among the state parameters according to preset rules, and select an acceleration strategy corresponding to the abnormal state parameter from preset acceleration strategies.

Optionally, the state parameters include one or more of the following parameters: startup time of the computing device, system disk partition usage, memory usage, disk I/O overhead ratio, and CPU usage.

Optionally, the selection module is used to determine whether the expected state parameters of the computing device can reach the preset expected value after the computing device is accelerated using the acceleration strategy for optimizing the computing device, and if the judgment is no, then select the An acceleration strategy for optimizing computing devices and an acceleration strategy for cleaning computing devices.

Optionally, the acceleration strategy for optimizing computing equipment includes one or more of the following:

Stop the running application process;

Prohibit the automatic startup of the application;

Turn off some system functions;

install driver;

Update the driver;

and / or,

The acceleration strategy for cleaning computing equipment includes one or more of the following:

Move applications from the system disk partition to other disk partitions;

uninstall installed apps;

Delete suspected junk files.

Optionally, when the acceleration policy selected by the selection module includes uninstalling an installed application, the acceleration module is configured to uninstall the installed application when the installed application meets a preset uninstallation condition;

The preset uninstall conditions include:

the time since the installed application was last used exceeds a third predetermined value; and/or,

Installed apps belong to the preset blacklist of apps.

Optionally, the acquiring module is configured to acquire the state of the computing device when it is detected that the computing device has not been operated by the user for a time exceeding a first preset value and/or the resource usage rate is less than a second preset value parameter.

Optionally, the acceleration module is configured to display the acceleration interface and the selected acceleration strategy on the display interface of the computing device, and when the user clicks on the acceleration interface, the computing device is accelerated using the selected acceleration strategy.

Optionally, also include:

A display module, configured to display an automatic acceleration mode selection interface on the display interface of the computing device before the acceleration module uses the selected acceleration strategy to accelerate the computing device;

The acceleration module is used to judge whether the user has selected the automatic acceleration mode by clicking on the automatic acceleration mode selection interface, and if the judgment is yes, automatically use the selected acceleration strategy to accelerate the computing device.

In yet another aspect, the present invention also provides an acceleration method for a computing device, including:

Obtain the state parameters of the computing device;

Select a corresponding acceleration strategy from preset acceleration strategies according to the acquired state parameters; the preset acceleration strategy includes: an acceleration strategy for optimizing the computing device; and/or, for cleaning the computing device acceleration strategy;

The computing device is accelerated using the selected acceleration policy.

Optionally, selecting a corresponding acceleration strategy from preset acceleration strategies according to the acquired state parameters includes:

determining abnormal state parameters among the state parameters according to preset rules;

An acceleration strategy corresponding to the abnormal state parameter is selected from preset acceleration strategies.

Optionally, the state parameters include one or more of the following parameters: startup time of the computing device, system disk partition usage, memory usage, disk I/O overhead ratio, and CPU usage.

Optionally, selecting a corresponding acceleration strategy from preset acceleration strategies according to the acquired state parameters includes:

Determine whether the expected state parameters of the computing device can reach the preset expected value after the computing device is accelerated using the acceleration strategy for optimizing the computing device, and if not, select the acceleration strategy for optimizing the computing device and the Accelerated strategy for sanitizing computing devices.

Optionally, the acceleration strategy for optimizing computing equipment includes one or more of the following:

Stop the running application process;

Prohibit the automatic startup of the application;

Turn off some system functions;

install driver;

Update the driver;

and / or,

The acceleration strategy for cleaning computing equipment includes one or more of the following:

Move applications from the system disk partition to other disk partitions;

uninstall installed apps;

Delete suspected junk files.

Optionally, when the selected acceleration strategy includes uninstalling installed applications, the accelerating the computing device using the selected acceleration strategy includes:

If the installed application satisfies the preset uninstallation condition, uninstall the installed application;

The preset uninstall conditions include:

the time since the installed application was last used exceeds a third predetermined value; and/or,

Installed apps belong to the preset blacklist of apps.

Optionally, the acquiring the state parameters of the computing device includes:

When it is detected that the computing device has not been operated by the user for more than a first preset value and/or the resource usage rate is less than a second preset value, acquire the status parameter of the computing device.

Optionally, said using the selected acceleration strategy to accelerate the computing device includes:

Displaying the acceleration interface and the selected acceleration strategy on the display interface of the computing device;

When the user clicks on the acceleration interface, the computing device is accelerated using the selected acceleration strategy.

Optionally, before using the selected acceleration strategy to accelerate the computing device, the method includes:

displaying an automatic acceleration mode selection interface on a display interface of the computing device;

Accelerating the computing device by using the selected acceleration strategy includes:

Determine whether the user has selected the automatic acceleration mode by clicking the automatic acceleration mode selection interface, and if the automatic acceleration mode is selected, use the selected acceleration strategy to accelerate the computing device.

By adopting the technical scheme of the present invention, different acceleration strategies can be selected to accelerate the computing devices according to different state parameters of different computing devices. In this way, on the one hand, the selected acceleration strategy can be adapted to the specific state of each computing device, and the acceleration effect can be improved. On the other hand, useless acceleration strategies for a computing device are avoided, and resource waste is avoided.

Description of drawings

FIG. 1 is a schematic flowchart of an acceleration method for a computing device provided by an embodiment of the present invention;

FIG. 2 is a schematic flow chart of an acceleration method for a computing device provided in yet another embodiment of the present invention;

FIG. 3 is a schematic structural diagram of an acceleration device for a computing device according to an embodiment of the present invention.

detailed description

The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

As shown in FIG. 1 , an acceleration method for a computing device provided by an embodiment of the present invention, the method may be executed by a protective device or a corresponding functional module installed in the computing device, and the method may include:

Step 101, acquiring state parameters of a computing device.

Step 102, select a corresponding acceleration strategy from a preset acceleration strategy list according to the obtained state parameters; wherein, the preset acceleration strategies include:

An acceleration strategy for optimizing the computing device; and/or, an acceleration strategy for cleaning the computing device;

Step 103, using the selected acceleration policy to accelerate the computing device.

In the embodiment of the present invention, according to different state parameters of different computing devices, different acceleration strategies can be selected to accelerate the computing devices. In this way, on the one hand, the selected acceleration strategy can be adapted to the specific state of each computing device, and the acceleration effect can be improved. On the other hand, useless acceleration strategies for a computing device are avoided, and resource waste is avoided.

In a specific implementation, the computing device referred to in the present invention may refer to a computer, a mobile phone, a tablet computer, a video player, an electronic reader, a digital photo frame, and the like.

In a specific implementation, the above step 101 may include: when it is detected that the computing device has not been operated by the user for a time exceeding a first preset value and/or the resource usage rate is less than a second preset value, acquiring the computing device state parameters. For example, if the computing device has not been operated by the user for more than 60 minutes, or the resource usage rate is less than 30%, the process of obtaining the state parameters of the computing device is performed. The advantage of doing this is that the process of acquiring the state parameters of the computing device can avoid affecting the running speed of the computing device, thereby improving user experience. Of course, in practical applications, the state parameters of the computing device may also be acquired according to a preset period. Or when it is detected that the computing device is running slowly, the state parameter of the computing device is acquired.

During specific implementation, the status parameters here may include one or more of the computing device boot time, memory usage, system disk partition usage, disk I/O speed, CPU usage, and other statuses.

Correspondingly, the acceleration strategy for optimizing computing devices includes one or more of the following:

Stop the running application process;

Prohibit the automatic startup of the application;

Turn off some system functions;

install driver;

Update the driver.

The acceleration strategy for cleaning the computing device here may include one or more of the following:

Move applications from the system disk partition to other disk partitions;

uninstall installed apps;

Delete suspected junk files.

During specific implementation, step 102 may include not shown in the figure:

Step 1021a, determining abnormal state parameters among the state parameters according to preset rules;

Step 1022a, selecting an acceleration strategy corresponding to the abnormal state parameter from preset acceleration strategies.

In specific implementation, step 1021a here can be implemented in various ways. A relatively simple way is to obtain the preset threshold corresponding to each state parameter. If the obtained corresponding state parameter is greater than the preset threshold, it indicates that the state The parameter is an abnormal state parameter.

Here, the acceleration policy corresponding to the abnormal state parameter referred to in step 1022a may refer to a state parameter that may be able to restore the abnormal state parameter to normal. For example, if only the memory usage is higher than the corresponding preset threshold, you can choose acceleration strategies such as stopping running application processes, cleaning up junk files in memory, and stopping some system functions. There is no need to choose acceleration strategies that are ineffective for reducing memory usage, such as prohibiting the self-starting of applications, and moving applications in the system disk partition to other disk partitions. This avoids implementing ineffective acceleration strategies. Correspondingly, if only the startup time exceeds the corresponding preset threshold, an acceleration strategy such as prohibiting the self-starting of the application may be selected without selecting other acceleration strategies. During specific implementation, the acceleration policy to be executed when the state parameter and the state parameter are abnormal may be acquired and stored in advance.

If in step 1021a, if the usage rate of the system disk partition exceeds the corresponding preset threshold and the boot time exceeds the corresponding preset threshold, it may be further determined whether the number of applications that are automatically started at boot exceeds the corresponding preset threshold, and the boot The number of self-starting applications is also greater than the corresponding preset threshold, then select the acceleration strategy for optimizing the computer such as "Prohibit automatic startup of applications" and execute "Move applications in the system disk partition to other disk partitions" One or more of the acceleration strategies for cleaning the computing device, such as "uninstalling installed applications" and "deleting junk files suspected of disk partitions".

If the usage rate of the system disk partition does not exceed the corresponding preset threshold and the boot time exceeds the corresponding preset threshold, it is only necessary to execute the acceleration strategy for optimizing the computer such as "prohibit the automatic startup of applications". The usage rate of the system disk partition does not exceed the preset threshold and the boot time exceeds the preset threshold.

Correspondingly, if the usage rate of the system disk partition does not exceed the corresponding preset threshold and the boot time does not exceed the corresponding preset threshold, there is no need to perform "prohibit application from booting up" and move the applications in the system disk partition to the Other disk partitions", "Uninstall installed applications" and "Delete junk files suspected of disk partitions" to speed up policies.

During specific implementation, the above-mentioned step 102 may also specifically include not shown in the figure:

Step 1021b, determine whether the expected state parameter of the computing device can reach the preset expected value after the computing device is accelerated using the acceleration strategy for optimizing the computing device; if it is judged to be yes, execute step 1023b, if it is judged to be no, Then execute step 1022b.

Step 1022b, selecting an acceleration strategy for optimizing the computing device and an acceleration strategy for cleaning the computing device.

Step 1023b, selecting an acceleration strategy for optimizing the computing device.

On the one hand, compared with the cleaning strategy used to optimize computing devices, the acceleration strategy used to clean computing devices involves uninstalling or moving applications, or deleting files, and may accidentally delete normal files, or Uninstall or move apps against the user's will. On the other hand, because the acceleration strategy for cleaning up computing devices involves the uninstallation or movement of applications, or the deletion of files, a relatively more complex algorithm needs to be executed to determine which applications can be uninstalled or moved, which files can be deleted, and consume more resources and may also cause the computing device to run slower. These will reduce the user experience. In order to avoid this situation, in the embodiment of the present invention, it is first judged whether the expected state parameters of the computing device after being optimized can reach the preset expected value by optimizing the computing device, and if so, only execute the Computer-optimized acceleration strategies.

In a specific implementation, the expected value here may specifically refer to the value that the expected state parameter reaches after the acceleration is completed. For example, if the expected memory usage is lower than 30%, the expected value corresponding to the memory usage is 30%.

In addition, in practical applications, the above-mentioned steps 1021a-1022a and the above-mentioned steps 1021b-1023b can be executed at the same time. For example, when the usage rate of the system disk partition is too high, the acceleration strategy that can be selected according to the steps 1021a-1022a includes: stop part System functions, move applications in the system disk partition to other disk partitions; uninstall installed applications; delete suspected junk files. Then follow steps 1021b-step 1023b to determine whether the usage rate of the system disk partition can be lower than the corresponding expected value by stopping some system functions. If so, there is no need to select "Move the application in the system disk partition to another disk partition" , "Uninstall installed applications", "Delete suspected junk files" and other acceleration strategies.

During specific implementation, if the acceleration strategy selected in step 102 includes uninstalling installed applications, step 103 may include the following steps:

Determine whether the installed application satisfies the preset uninstallation condition;

If yes, uninstall the installed application;

If not, the installed application is not uninstalled.

The preset unloading conditions here may include:

the time since the installed application was last used exceeds a third predetermined value; and/or,

Installed apps belong to the preset blacklist of apps.

If in step 102, it is selected to adopt the acceleration strategy of prohibiting the automatic startup of the application, then in step 103, the step of implementing the acceleration strategy of prohibiting the automatic startup of the application may include: obtaining the automatic startup strategy when the computing device is turned on. application list, and further judge according to the preset rules whether the application in the application list contains an application that can prohibit self-starting; if it is an application that can prohibit self-starting, then prohibit the self-starting of the application. For self-starting applications, the self-starting of the application is not prohibited. Further, the method for judging whether the applications in the application list include applications that can prohibit self-starting may include: obtaining a whitelist of applications that can be self-starting, and if an application in the application list belongs to an application in the whitelist, then determine that the application is not An application that can be prohibited from starting, if the application in the application list is not an application in the white list, it is determined that the application is an application that can be prohibited from starting. The whitelist here can be generated and distributed from the upper-level server located in the cloud. For how to prohibit the self-starting of the self-starting application when booting up, reference may also be made to the prior art.

If in step 102 the acceleration strategy of stopping some system functions is selected, in step 103, the list of system functions that can be closed can be obtained at first, such as if the operating system of the current computing device has been updated to the latest, and all loopholes have been repaired After completion, you can turn off the update detection function, and then turn off the system functions in the list.

During specific implementation, if in step 102 an acceleration strategy for installing drivers is selected. In step 103, the list of currently installed drivers and the list of drivers to be installed can be obtained, the list of drivers to be installed on the computing device is compared with the list of drivers installed on the computing device, and it is determined that the driver that belongs to the computing device needs to be installed. list of drivers that do not belong to the list of installed drivers for the computing device and install them. In practical applications, the above-mentioned list of drivers to be installed by the computing device may also be delivered by the upper-level server located in the cloud.

During specific implementation, the above-mentioned step 103 may specifically include not shown in the figure:

Step 1031a, displaying the acceleration interface and the selected acceleration strategy on the display interface of the computing device;

Step 1032a, when the user clicks on the acceleration interface, use the selected acceleration policy to accelerate the computing device.

Furthermore, in step 1031, the objects targeted by the selected acceleration strategy may also be displayed at the same time. For example, the cache to be cleared in the acceleration policy of clearing the cache, or the application to be uninstalled in the acceleration policy of uninstalling the application. The advantage of this is that it can avoid deleting or changing the corresponding content by mistake. The acceleration interface here may be a one-key acceleration interface.

During specific implementation, before the above-mentioned step 103, the method may also include:

Step 103', displaying the automatic acceleration mode selection interface in the display interface of the computing device;

At this point, step 103 may specifically include:

Step 1031b, determine whether the user selects the automatic acceleration mode by clicking on the automatic acceleration mode selection interface. If yes, execute step 1032b.

Step 1032b, if the automatic acceleration mode is selected, automatically use the selected acceleration policy to accelerate the computing device.

Specifically, when the determination result of the above-mentioned step 1031b is negative, the above-mentioned steps 1031a-1032a may be executed.

During specific implementation, the above-mentioned step 102 may also include: sending the obtained state parameters to the upper-level server, so that the upper-level server selects the corresponding acceleration strategy from the preset acceleration strategy list according to the obtained state parameters and Return; receive the acceleration policy selected by the upper-level server. Generally, since the upper-level server (such as a server located in the cloud) has more powerful computing resources and information resources, it can more accurately determine whether to execute a corresponding acceleration strategy.

Further, in step 102, the system environment information of the computing device may also be reported to the upper-level server, so that the upper-level server selects the corresponding acceleration policy list from the preset acceleration policy list according to the acquired state parameters and system environment information. Acceleration strategy. The system environment information here refers to the type of operating system of the computing device, basic hardware information such as memory capacity, disk capacity, and disk throughput.

A complete embodiment of an acceleration method for a computing device provided by the present invention is described in detail below. As shown in FIG. 2, the method may include:

Step 201 , acquiring state parameters of the computing device, the state parameters including the boot time, memory usage, and system disk partition usage of the computing device.

Step 202: Determine whether to select an acceleration policy that prohibits automatic startup of applications based on the startup time of the computing device in the obtained status parameters.

Specifically, if it is judged whether the boot time of the computing device exceeds the first preset value, if yes, then select an acceleration policy that prohibits the application from booting automatically; correspondingly, if the judgment is no, then do not select the corresponding acceleration policy.

Step 203: Determine whether to select an acceleration policy to stop the running application process according to the memory usage rate of the computing device in the obtained state parameters.

If the memory usage exceeds the preset value, select an acceleration strategy to stop the running application process. If the system disk partition usage exceeds the preset value, correspondingly, if the judgment is no, the corresponding acceleration strategy is not selected.

Step 204, judge and determine whether to select an acceleration strategy of moving the application installed in the system disk partition to another disk partition and closing some system functions according to the usage rate of the system disk partition of the computing device in the obtained state parameters.

If the usage rate of the system disk partition exceeds the preset value, select the acceleration strategy of moving the applications installed in the system disk partition to other disk partitions and turning off some system functions. Yes, if the judgment is no, then do not select the corresponding Acceleration strategy.

In step 205, an acceleration policy is determined according to the judgment results of steps 202-204.

Step 206, display the selected acceleration strategy and the object targeted by the selected acceleration strategy on the display interface of the computing device.

Step 207, when it is detected that the user clicks on the one-key acceleration interface, use the selected acceleration policy to accelerate the computing device.

Through the above steps, an appropriate acceleration strategy can be selected according to the specific state of the computing device, so that the selected acceleration strategy can accelerate the computing device more effectively. On the other hand, it is possible to avoid executing an acceleration strategy that has no or no obvious acceleration effect for a specific computing device, and reduces resource consumption caused by executing unnecessary acceleration strategies.

It is not difficult to understand that in practical applications, the order of the above steps 202, 203, and 204 can be interchanged, and the execution order of the examples in the figure should not be construed as limiting the protection scope of the present invention.

The present invention also provides an acceleration device for a computing device, as shown in FIG. 3 , which can be used to execute the above-mentioned acceleration method for a computing device. The device includes:

An acquisition module 301, configured to acquire a state parameter of a computing device;

A selection module 302, configured to select a corresponding acceleration strategy from a list of preset acceleration strategies according to the state parameters acquired by the acquisition module 301; the preset acceleration strategy includes: an acceleration strategy for optimizing computing devices; and /or, an acceleration policy for cleaning the computing device;

The acceleration module 303 is configured to use the acceleration policy selected by the selection module 302 to accelerate the computing device.

The acceleration device for a computing device provided by an embodiment of the present invention can select different acceleration strategies to accelerate the computing device according to different state parameters of different computing devices. In this way, on the one hand, the selected acceleration strategy can be adapted to the specific state of each computing device, and the acceleration effect can be improved. On the other hand, useless acceleration strategies for a computing device are avoided, and resource waste is avoided.

Optionally, the selection module 302 is configured to determine an abnormal state parameter among the state parameters according to preset rules, and select an acceleration strategy corresponding to the abnormal state parameter from preset acceleration strategies.

Optionally, the state parameters include one or more of the following parameters: startup time of the computing device, system disk partition usage, memory usage, disk I/O overhead ratio, and CPU usage.

Optionally, the selection module 302 is used to determine whether the expected state parameter of the computing device can reach the preset expected value after the computing device is accelerated using the acceleration strategy for optimizing the computing device, and if the judgment is no, select the An acceleration strategy for optimizing computing devices and an acceleration strategy for cleaning computing devices.

Optionally, the acceleration strategy for optimizing computing equipment includes one or more of the following:

Stop the running application process;

Prohibit the automatic startup of the application;

Turn off some system functions;

install driver;

Update the driver;

and / or,

The acceleration strategy for cleaning computing equipment includes one or more of the following:

Move applications from the system disk partition to other disk partitions;

uninstall installed apps;

Delete suspected junk files.

Optionally, when the acceleration strategy selected by the selection module 302 includes uninstalling an installed application, the acceleration module 303 is configured to uninstall the installed application when the installed application meets a preset uninstallation condition;

The preset uninstall conditions include:

the time since the installed application was last used exceeds a third predetermined value; and/or,

Installed apps belong to the preset blacklist of apps.

Optionally, the acquiring module 301 is configured to acquire the state parameters of the computing device when it is detected that the computing device has not been operated by the user for a time exceeding a first preset value and/or the resource usage rate is less than a second preset value .

Optionally, the acceleration module 303 is configured to display the acceleration interface and the selected acceleration strategy on the display interface of the computing device; when the user clicks on the acceleration interface, the computing device is accelerated using the selected acceleration strategy.

Optionally, the device also includes not shown in the figure:

A display module 304, configured to display an automatic acceleration mode selection interface on the display interface of the computing device before the acceleration module uses the selected acceleration strategy to accelerate the computing device;

The acceleration module 303 is used to determine whether the user has selected the automatic acceleration mode by clicking the automatic acceleration mode selection interface, and if the determination is yes, automatically use the selected acceleration strategy to accelerate the computing device.

Optionally, the selection module 302 is configured to send the obtained state parameters to the upper-level server, so that the upper-level server selects the corresponding acceleration strategy from the preset acceleration strategy list according to the obtained state parameters and returns; receiving the upper-level The acceleration policy chosen by the server.

Optionally, the selection module 302 is also configured to report the system environment information of the computing device to the upper-level server, so that the upper-level server selects the corresponding acceleration strategy.

It should be noted that the "first" and "second" mentioned in the embodiments of the present invention are only used for distinction, and do not represent a specific concept of number.

In the description of the invention, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure the understanding of this description.

Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, in order to streamline the present disclosure and to facilitate understanding of one or more of the various inventive aspects, various features of the invention are sometimes grouped together into a single embodiment , figure, or description of it. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art can understand that the modules in the device in the embodiment can be adaptively changed and installed in one or more devices different from the embodiment. Modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of sub-modules or sub-units or sub-assemblies. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method or method so disclosed may be used in any combination, except where at least some of such features and/or processes or units are mutually exclusive. All processes or units of equipment are combined. Each feature disclosed in this specification (including accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will understand that although some embodiments described herein include some features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of the invention. and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) can be used in practice to implement some or all functions of some or all components in a browser terminal device according to an embodiment of the present invention . The present invention can also be implemented as an apparatus or an apparatus program (for example, a computer program and a computer program product) for performing a part or all of the methods described herein. Such a program for realizing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet site, or provided on a carrier signal, or provided in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. All of them should be covered by the scope of the claims and description of the present invention.

Claims (16)

1. An acceleration apparatus of a computing device, comprising:

the acquisition module is used for acquiring the state parameters of the computing equipment;

the selection module is used for selecting a corresponding acceleration strategy from preset acceleration strategies according to the state parameters acquired by the acquisition module; the preset acceleration strategy comprises the following steps: an acceleration policy for optimizing the computing device; and/or an acceleration policy for cleaning the computing device;

an acceleration module to accelerate the computing device using the acceleration policy selected by the selection module;

wherein,

the selection module is used for judging whether the expected state parameters of the computing equipment can reach a preset expected value after the computing equipment is accelerated by using the acceleration strategy for optimizing the computing equipment, and if not, selecting the acceleration strategy for optimizing the computing equipment and the acceleration strategy for cleaning the computing equipment.

2. The apparatus of claim 1, wherein the selection module is configured to determine an abnormal state parameter of the state parameters according to a preset rule, and select an acceleration policy corresponding to the abnormal state parameter from preset acceleration policies.

3. The apparatus of claim 2, wherein the status parameters comprise one or more of the following parameters: the starting time of the computing equipment, the utilization rate of system disk partitions, the utilization rate of memory, the overhead rate of disk I/O and the utilization rate of CPU.

4. The apparatus of any one of claims 1-3, wherein the acceleration policy for optimizing the computing device comprises one or more of:

stopping the running application process;

forbidding the starting self-starting of the application;

closing part of system functions;

installing a driver;

updating the drive;

and/or the presence of a gas in the gas,

the acceleration policy for cleaning the computing device includes one or more of:

moving the application in the system disk partition to other disk partitions;

uninstalling the installed application;

and deleting the suspected junk files.

5. The apparatus of claim 4, wherein when the acceleration policy selected by the selection module includes uninstalling an installed application, the acceleration module is to uninstall the installed application when the installed application satisfies a preset uninstall condition;

the preset unloading conditions comprise:

the time since the installed application was last used exceeds a third preset value; and/or the presence of a gas in the gas,

the installed applications belong to a preset application blacklist.

6. The apparatus of claim 1, wherein the obtaining module is configured to obtain the status parameter of the computing device when it is detected that the computing device has not been operated by the user for more than a first preset value and/or the resource usage rate is less than a second preset value.

7. The apparatus of claim 1, wherein the acceleration module is to display an acceleration interface and a selected acceleration policy in a display interface of a computing device, the selected acceleration policy to accelerate the computing device when a user clicks on the acceleration interface.

8. The apparatus of claim 1, further comprising:

a display module to display an auto-acceleration mode selection interface in a display interface of a computing device before the acceleration module accelerates the computing device using the selected acceleration policy;

the acceleration module is used for judging whether the user selects the automatic acceleration mode by clicking the automatic acceleration mode selection interface, and when the judgment is yes, the selected acceleration strategy is automatically used for accelerating the computing equipment.

9. A method of accelerating a computing device, comprising:

acquiring state parameters of the computing equipment;

selecting a corresponding acceleration strategy from preset acceleration strategies according to the acquired state parameters; the preset acceleration strategy comprises the following steps: an acceleration policy for optimizing the computing device; and/or an acceleration policy for cleaning the computing device;

accelerating the computing device using the selected acceleration policy;

wherein,

the selecting a corresponding acceleration strategy from preset acceleration strategies according to the acquired state parameters includes:

and judging whether the expected state parameters of the computing device can reach a preset expected value after the computing device is accelerated by using the acceleration strategy for optimizing the computing device, and if not, selecting the acceleration strategy for optimizing the computing device and the acceleration strategy for cleaning the computing device.

10. The method according to claim 9, wherein the selecting a corresponding acceleration policy from preset acceleration policies according to the obtained state parameter includes:

determining abnormal state parameters in the state parameters according to a preset rule;

and selecting an acceleration strategy corresponding to the abnormal state parameter from preset acceleration strategies.

11. The method of claim 10, wherein the state parameters include one or more of the following parameters: the starting time of the computing equipment, the utilization rate of system disk partitions, the utilization rate of memory, the overhead rate of disk I/O and the utilization rate of CPU.

12. The method of any of claims 9-11, wherein the acceleration policy for optimizing the computing device comprises one or more of:

stopping the running application process;

forbidding the starting self-starting of the application;

closing part of system functions;

installing a driver;

updating the drive;

and/or the presence of a gas in the gas,

the acceleration policy for cleaning the computing device includes one or more of:

moving the application in the system disk partition to other disk partitions;

uninstalling the installed application;

and deleting the suspected junk files.

13. The method of claim 12, wherein when the selected acceleration policy comprises uninstalling an installed application, said accelerating the computing device using the selected acceleration policy comprises:

if the installed application meets the preset uninstalling condition, uninstalling the installed application;

the preset unloading conditions comprise:

the time since the installed application was last used exceeds a third preset value; and/or the presence of a gas in the gas,

the installed applications belong to a preset application blacklist.

14. The method of claim 9, wherein the obtaining state parameters of a computing device comprises:

and acquiring the state parameters of the computing equipment when detecting that the time of the computing equipment which is not operated by a user exceeds a first preset value and/or the resource utilization rate is less than a second preset value.

15. The method of claim 9, wherein the accelerating the computing device using the selected acceleration policy comprises:

displaying the acceleration interface and the selected acceleration policy in a display interface of the computing device;

when the user clicks on the acceleration interface, the computing device is accelerated using the selected acceleration policy.

16. The method of claim 9, wherein prior to accelerating the computing device using the selected acceleration policy, the method comprises:

displaying an auto-acceleration mode selection interface in a display interface of a computing device;

the accelerating the computing device using the selected acceleration policy comprises:

determining whether a user has selected an auto-acceleration mode by clicking the auto-acceleration mode selection interface, and if so, accelerating the computing device using the selected acceleration policy.