CN111352555A - A performance optimization method and device for list sliding - Google Patents

Abstract

The invention discloses a performance optimization method and device for list sliding, which obtains the sliding distance and sliding frame rate of the list on the terminal device, determines the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate, and determines the maximum sliding rate value of the list on the terminal device. If the list sliding rate value on the terminal device is greater than the maximum sliding rate value, the first performance optimization strategy is used to optimize the performance. By determining the maximum sliding rate value corresponding to different terminals, the performance of different terminals can be optimized and user experience can be improved.

Description

A performance optimization method and device for list sliding

technical field

The present invention relates to the field of communication technologies, and in particular, to a performance optimization method and device for list sliding.

Background technique

With the continuous popularization of mobile terminals, the display effects of various application interfaces in the mobile terminals are becoming more and more realistic, and more and more data can be displayed, and the structure of the displayed data is also more and more complicated. When the information content is more or the information content is more complex, it is usually presented in the form of a list.

If the design of the information content is more complex, the phenomenon of lag may occur on the terminal with poor performance, so there are some performance optimization methods. As well as presentation content such as tables, the presentation method of tables may be reduced during optimization; it can also be optimized by stopping asynchronous data loading, for example, stopping asynchronous data loading when sliding is detected.

The currently applicable scenarios of these optimization methods are relatively fixed, and the optimization effect may be obvious only for terminals with poor performance.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a performance optimization method and device for list sliding, so as to improve the performance optimization quality of list sliding, and it can be applied to terminals with different performances.

The purpose of this invention is to realize through the following technical solutions:

In a first aspect, the present invention provides a performance optimization method for list sliding, including:

Obtain the sliding distance and sliding frame rate of the list on the terminal device, where the sliding distance is the moving distance of the list when the list is refreshed twice in a row, and the sliding frame rate is the reciprocal of the time interval when the list is refreshed twice in a row;

Determine the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate;

If it is determined that the list sliding rate value on the terminal device is greater than the maximum sliding rate value, a first performance optimization strategy is used for performance optimization; the first performance optimization strategy includes at least one of the following processing tasks: stopping time-consuming calculation processing, Stop asynchronous thread loading and stop timing calculation logic.

Optionally, the method further includes:

If it is determined that the list sliding rate value on the terminal device is less than the maximum sliding rate value, a second performance optimization strategy is used to perform performance optimization; the second performance optimization strategy includes at least one of the following processing tasks: time-consuming calculation processing , Asynchronous thread loading, timing calculation logic.

Optionally, according to the sliding distance and the sliding frame rate, determine the maximum sliding rate value of the list on the terminal device, including:

The maximum sliding rate value of the list on the terminal device is determined according to the product of the sliding distance of the list and the sliding frame rate.

Optionally, obtain the sliding distance of the list on the terminal device, including:

Use the sliding detector to obtain the sliding distance of the list;

The time interval between two consecutive refreshes of the list is obtained in the following manner:

A timer is used to obtain the time interval between two consecutive refreshes of the list.

In a second aspect, the present invention provides a performance optimization device for list sliding, including:

The obtaining unit is used to obtain the sliding distance and sliding frame rate of the list on the terminal device, the sliding distance is the moving distance of the list when the list is refreshed twice in a row, and the sliding frame rate is the time when the list is refreshed twice in a row. the inverse of the time interval;

a determining unit, configured to determine the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate acquired by the acquiring unit;

a processing unit, configured to use a first performance optimization strategy to perform performance optimization when it is determined that the list sliding rate value on the terminal device is greater than the maximum sliding rate value; the first performance optimization strategy includes at least one of the following processing tasks: stop Time-consuming calculation processing, stop asynchronous thread loading, stop timing calculation logic.

Optionally, the processing unit is also used for:

When it is determined that the list sliding rate value on the terminal device is less than the maximum sliding rate value, a second performance optimization strategy is used to perform performance optimization; the second performance optimization strategy includes at least one of the following processing tasks: time-consuming calculation processing , Asynchronous thread loading, timing calculation logic.

Optionally, the determining unit is specifically configured to determine the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate as follows:

The maximum sliding rate value of the list on the terminal device is determined according to the product of the sliding distance of the list and the sliding frame rate.

Optionally, the obtaining unit is specifically configured to obtain the sliding distance of the list on the terminal device as follows:

Use the sliding detector to obtain the sliding distance of the list;

The time interval between two consecutive refreshes of the list is obtained in the following manner:

A timer is used to obtain the time interval between two consecutive refreshes of the list.

In a third aspect, the present invention provides a performance optimization device for list sliding, including:

memory for storing program instructions;

The processor is configured to call the program instructions stored in the memory, and execute the method described in the first aspect according to the obtained program.

In a fourth aspect, the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores computer instructions, which, when executed on a computer, cause the computer to execute the method described in the first aspect.

The present invention provides a performance optimization method and device for list sliding, which obtains the sliding distance and sliding frame rate of the list on the terminal device, determines the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate, and determines the maximum sliding rate value of the list on the terminal device. If the list sliding rate value on the device is greater than the maximum sliding rate value, the first performance optimization strategy is used to optimize the performance. By determining the maximum sliding rate value corresponding to different terminals, it is possible to optimize the performance of different terminals and improve the performance optimization of list sliding. quality, thereby improving the user experience.

Description of drawings

1 provides a flowchart of a performance optimization method for list sliding according to an embodiment of the present application;

FIG. 2 provides a data graph of a rate and a frame rate for an embodiment of the present application;

FIG. 3 provides a structural block diagram of a performance optimization device for list sliding according to an embodiment of the present application;

FIG. 4 is a schematic diagram of another performance optimization apparatus for list sliding according to an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

At present, the applicable scenarios of the optimization method for list sliding performance are relatively fixed, and cannot be dynamically adjusted according to different business scenarios, nor can it be dynamically adjusted according to the performance of different terminals.

In view of this, the embodiments of the present application provide a performance optimization method and device for list sliding, by determining the maximum sliding rate values corresponding to different terminals, and performing performance optimization when the sliding rate value is greater than the maximum sliding rate value, so as to The performance of different terminals is optimized to improve the quality of performance optimization.

Among them, it should be understood that in the following description, words such as "first" and "second" are only used for the purpose of distinguishing descriptions, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implied order.

FIG. 1 shows a flowchart of a performance optimization method for list sliding provided by an embodiment of the present application. Referring to FIG. 1 , the method includes:

S101: Obtain the sliding distance and the sliding frame rate of the list on the terminal device.

Specifically, the sliding distance (distance) is the moving distance of the list when the list is refreshed twice in a row on the terminal device, and the frame rate (FPs) is the reciprocal of the time interval (ΔT) between the two consecutive refreshes of the list.

S102: Determine the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate.

In this embodiment of the present application, the maximum sliding rate value V _max of the list may be determined according to the sliding distance (distance) of the list and the sliding frame rate (FPs).

Specifically, the sliding rate frame rate

Therefore, it can be known from the above two formulas: V _max =distance×FPs.

The rate and frame rate can be calculated according to the above formula. As shown in Table 1, the data records of different rates and frame rates are shown in Table 1.

Table 1 Rate and frame rate data record table

It can be seen from Table 1 that when the frame rate is greater than 55 frames, the user's perception of use is relatively smooth, and when the frame rate is less than 55 frames, the user's perception of use is relatively stuck. The value is defined as the maximum slip rate value.

That is to say, for terminals with different performances, the corresponding maximum sliding rate values are all different.

When FPs=55, that is: V _max =55×distance.

By converting Table 1 into a graph, the frame rate corresponding to the maximum sliding rate value can be clearly determined. FIG. 2 shows a graph of a maximum sliding rate value provided by the embodiment of the present application.

It can be seen from FIG. 2 that the maximum sliding rate V _max =1.5pix/ms, which can be understood as the data of sliding one screen per second.

In this embodiment of the present application, the frequency at which the screen (list) is refreshed twice in a row can be set to 60 times/second, that is, T=1/60.

It should be understood that the maximum sliding rate V _max in the embodiment of the present application may be used as the rate threshold.

S103: Determine whether the sliding rate value of the list is greater than the maximum sliding rate value, and if it is greater than the maximum sliding rate value, perform step S104, and if it is less than the maximum sliding rate value, perform step S105.

S104: If it is determined that the list sliding rate value on the terminal device is greater than the maximum sliding rate value, use the first performance optimization strategy to perform performance optimization.

Specifically, the first performance optimization strategy includes at least one of the following processing tasks: stopping time-consuming calculation processing, stopping asynchronous thread loading, and stopping timing calculation logic.

In this embodiment of the present application, when the list sliding rate value is greater than the threshold (ie, the maximum sliding rate value), tasks such as time-consuming calculation processing, asynchronous thread loading, and timing calculation logic can be stopped.

S105: If it is determined that the list sliding rate value on the terminal device is smaller than the maximum sliding rate value, use the second performance optimization strategy to perform performance optimization.

Specifically, the second performance optimization strategy includes at least one processing task as follows: time-consuming computing processing, asynchronous thread loading, and timing computing logic.

It should be understood that the first performance optimization strategy and the second performance optimization strategy are relative strategies.

In this embodiment of the present application, when the list sliding rate value is less than the threshold (ie, the maximum sliding rate value), time-consuming calculation processing, asynchronous thread loading, timing calculation logic, and the like can be restored.

The "time-consuming calculation processing", "asynchronous thread loading", and "timed calculation logic" listed above will be described in detail below.

(1) Time-consuming calculation processing includes: time format conversion, picture drawing and some other special complex calculations.

For example, convert the timestamp data 1532342550000 to a specific date "2018-07-2318:42:30", or convert it to a relative time format such as "a minute ago", "a week ago", etc.

Picture drawing refers to the process of reading a picture file and rendering it to the screen for display. This process includes three steps of picture decoding, scaling, and drawing. It takes a long time for a large picture.

For these time-consuming calculations, when the sliding rate is greater than V _max , you can choose to stop the calculation and directly use the cache or the default booth map display, because the user cannot see the information when sliding quickly, and the sliding speed is faster. Time-consuming information may not be loaded to improve sliding performance.

And when the sliding rate slows down, that is, when the user really cares about the data, the data calculation in the currently visible screen is resumed, that is, the stopped processing task is resumed.

(2) Asynchronous thread loading: mainly refers to picture, audio and video data. Since these data are relatively large, asynchronous thread loading will be used in order not to block the main thread, but a large amount of data download will also consume the central processing unit (Central Processing Unit, CPU) ), resulting in a drop in sliding frame rate.

For this scenario, when the sliding rate is greater than V _max , the asynchronous thread loading can be stopped to reduce CPU consumption. When the sliding rate slows down, the asynchronous loading of the data in the currently visible screen can be resumed.

(3) Timing calculation logic: mainly refers to some component styles that implement carousel through timers. When the sliding rate is greater than V _max , the timer rotation can be stopped to reduce the consumption of CPU and Graphics Processing Unit (GPU), and when the sliding rate is slowed down, the timer can be resumed.

Further, in the embodiment of the present application, according to the sliding distance and the sliding frame rate, the maximum sliding rate value of the list on the terminal device is determined, including:

Determine the maximum sliding rate value of the list on the terminal device according to the product of the sliding distance of the list and the sliding frame rate.

Specifically, when determining the maximum sliding rate value, the sliding frame rate is 55 frames, that is, the user perceives a smooth frame rate.

Further, acquiring the sliding distance of the list on the terminal device may include: using a sliding detector to acquire the sliding distance of the list.

The time interval between two consecutive refreshes of the list is obtained by using the following method: using a timer to obtain the time interval between two consecutive refreshes of the list.

Specifically, in this embodiment of the present application, the list sliding detector may be used to detect the sliding direction and sliding distance of the list.

And the time interval can be detected by the timer, and then the sliding frame rate can be obtained. The frequency of the timer can be consistent with the frequency of screen refresh, that is, 60 times/second.

It can be understood that the rate V is the sliding distance (number of pixels) divided by the time interval between two timer callbacks, and the time interval between two timer callbacks is the time interval between two consecutive refreshes of the list.

The frame rate FPs is 1 divided by the time interval between two timer callbacks.

Compared with the current performance optimization method, the performance optimization method for list sliding provided by the embodiment of the present application can monitor the sliding rate, that is, the frame rate data, calculate the maximum sliding rate value according to the monitoring result, and use the maximum sliding rate value as the threshold value Compared with the current sliding rate, it is judged whether to stop the time-consuming calculation processing, whether to stop the asynchronous thread loading, and whether to time the calculation logic, so that the sliding performance can be optimized according to different terminals, and the user experience can be improved.

Based on the same concept as the above-mentioned embodiment of the performance optimization method for list sliding, the embodiment of the present invention further provides a performance optimization device for list sliding. FIG. 3 is a structural block diagram of a performance optimization apparatus for list sliding provided by an embodiment of the present invention, including: an acquisition unit 101 , a determination unit 102 , and a processing unit 103 .

The obtaining unit 101 is configured to obtain the sliding distance and sliding frame rate of the list on the terminal device, where the sliding distance is the moving distance of the list when the list is refreshed twice in a row, and the sliding frame rate is the reciprocal of the time interval when the list is refreshed twice in a row.

The determining unit 102 is configured to determine the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate acquired by the acquiring unit 101 .

The processing unit 103 is configured to use the first performance optimization strategy to perform performance optimization when it is determined that the list sliding rate value on the terminal device is greater than the maximum sliding rate value.

The first performance optimization strategy includes at least one of the following processing tasks: stopping time-consuming calculation processing, stopping asynchronous thread loading, and stopping timing calculation logic.

Further, the processing unit 103 is also used for:

When it is determined that the list sliding rate value on the terminal device is less than the maximum sliding rate value, the second performance optimization strategy is used to perform performance optimization.

The second performance optimization strategy includes at least one of the following processing tasks: time-consuming computing processing, asynchronous thread loading, and timing computing logic.

Specifically, the determining unit 102 is specifically configured to determine the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate as follows:

Determine the maximum sliding rate value of the list on the terminal device according to the product of the sliding distance of the list and the sliding frame rate.

Further, the obtaining unit 101 is specifically configured to obtain the sliding distance of the list on the terminal device as follows:

Use the sliding detector to get the sliding distance of the list.

In addition, the time interval between two consecutive refreshes of the list is obtained in the following manner: the time interval between two consecutive refreshes of the list is obtained by using a timer.

It should be noted that, for the function implementation of each unit in the above-mentioned performance optimization apparatus for list sliding in the embodiments of the present invention, further reference may be made to the description of the related method embodiments, and details are not repeated here.

The embodiment of the present application also provides another performance optimization device for list sliding, as shown in FIG. 4 , the device includes:

Memory 202 for storing program instructions.

The transceiver 201 is used for receiving and sending performance optimization instructions for list sliding.

The processor 200 is configured to call the program instructions stored in the memory, and execute any method process described in the embodiments of the present application according to the instructions received by the transceiver 201 and according to the obtained program. The processor 200 is configured to implement the method performed by the determining unit (102) and the processing unit (103) shown in FIG. 3 .

4, the bus architecture may include any number of interconnected buses and bridges, specifically, one or more processors represented by processor 200 and various circuits of memory represented by memory 202 are linked together. The bus architecture may also link together various other circuits, such as peripherals, voltage regulators, and power management circuits, which are well known in the art and, therefore, will not be described further herein. The bus interface provides the interface.

Transceiver 201 may be a number of elements, including a transmitter and a transceiver, providing a means for communicating with various other devices over a transmission medium.

The processor 200 is responsible for managing the bus architecture and general processing, and the memory 202 may store data used by the processor 200 in performing operations.

The processor 200 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or a complex programmable logic device (CPLD) ).

The embodiments of the present application further provide a computer storage medium for storing computer program instructions used by any of the apparatuses described in the above embodiments of the present application, including instructions for executing any of the methods provided by the above embodiments of the present application program of.

The computer storage medium can be any available medium or data storage device that can be accessed by a computer, including but not limited to magnetic storage (eg, floppy disk, hard disk, magnetic tape, magneto-optical disk (MO), etc.), optical storage (eg CD, DVD, BD, HVD, etc.), and semiconductor memory (eg, ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state disk (SSD)), and the like.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

Although preferred embodiments of the present invention have been described, additional changes and modifications to these embodiments may occur to those skilled in the art once the basic inventive concepts are known. Therefore, the appended claims are intended to be construed to include the preferred embodiment and all changes and modifications that fall within the scope of the present invention.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention. Thus, provided that these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims (10)

1. a performance optimization method of list sliding, is characterized in that, comprises: Obtain the sliding distance and sliding frame rate of the list on the terminal device, where the sliding distance is the moving distance of the list when the list is refreshed twice in a row, and the sliding frame rate is the reciprocal of the time interval when the list is refreshed twice in a row; Determine the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate; If it is determined that the list sliding rate value on the terminal device is greater than the maximum sliding rate value, a first performance optimization strategy is used for performance optimization; the first performance optimization strategy includes at least one of the following processing tasks: stopping time-consuming calculation processing, Stop asynchronous thread loading and stop timing calculation logic. 2. The method of claim 1, wherein the method further comprises: If it is determined that the list sliding rate value on the terminal device is less than the maximum sliding rate value, a second performance optimization strategy is used to perform performance optimization; the second performance optimization strategy includes at least one of the following processing tasks: time-consuming calculation processing , Asynchronous thread loading, timing calculation logic. 3. The method of claim 1, wherein determining the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate, comprising: The maximum sliding rate value of the list on the terminal device is determined according to the product of the sliding distance of the list and the sliding frame rate. 4. The method of claim 1, wherein acquiring the sliding distance of the list on the terminal device comprises: Use the sliding detector to obtain the sliding distance of the list; The time interval between two consecutive refreshes of the list is obtained in the following manner: A timer is used to obtain the time interval between two consecutive refreshes of the list. 5. A performance optimization device for list sliding, characterized in that, comprising: The obtaining unit is used to obtain the sliding distance and sliding frame rate of the list on the terminal device, the sliding distance is the moving distance of the list when the list is refreshed twice in a row, and the sliding frame rate is the time when the list is refreshed twice in a row. the inverse of the time interval; a determining unit, configured to determine the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate acquired by the acquiring unit; a processing unit, configured to use a first performance optimization strategy to perform performance optimization when it is determined that the list sliding rate value on the terminal device is greater than the maximum sliding rate value; the first performance optimization strategy includes at least one of the following processing tasks: stop Time-consuming calculation processing, stop asynchronous thread loading, stop timing calculation logic. 6. The apparatus of claim 5, wherein the processing unit is further configured to: When it is determined that the list sliding rate value on the terminal device is less than the maximum sliding rate value, a second performance optimization strategy is used to perform performance optimization; the second performance optimization strategy includes at least one of the following processing tasks: time-consuming calculation processing , Asynchronous thread loading, timing calculation logic. 7. The apparatus according to claim 5, wherein the determining unit is specifically configured to determine the maximum sliding rate value of the list on the terminal device according to the sliding distance and the sliding frame rate as follows: The maximum sliding rate value of the list on the terminal device is determined according to the product of the sliding distance of the list and the sliding frame rate. 8. The apparatus according to claim 5, wherein the obtaining unit is specifically configured to obtain the sliding distance of the list on the terminal device as follows: Use the sliding detector to obtain the sliding distance of the list; The time interval between two consecutive refreshes of the list is obtained in the following manner: A timer is used to obtain the time interval between two consecutive refreshes of the list. 9. A performance optimization device for list sliding, characterized in that, comprising: memory for storing program instructions; The processor is configured to call the program instructions stored in the memory, and execute the method according to any one of claims 1 to 4 according to the obtained program. 10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions, which, when the computer instructions are executed on a computer, cause the computer to execute any one of claims 1 to 4. Methods.

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