WO2017045482A1

WO2017045482A1 - Parent task progress update method and apparatus

Info

Publication number: WO2017045482A1
Application number: PCT/CN2016/091586
Authority: WO
Inventors: 韩竞竞; 龙慧; 李欣
Original assignee: 北京奇虎科技有限公司; 奇智软件（北京）有限公司
Priority date: 2015-09-16
Filing date: 2016-07-25
Publication date: 2017-03-23
Also published as: CN105260287A

Abstract

A parent task progress update method and apparatus, wherein a parent task contains a plurality of sub-tasks. The method comprises: respectively calculating the maximum execution time of each sub-task of a plurality of sub-tasks (S100); dividing the progress of a parent task according to the maximum execution time of each sub-task to determine the progress percentage corresponding to each sub-task (S101); and during a sub-task execution process, if it is detected that the execution of any of the sub-tasks has finished, adding the progress percentage corresponding to the sub-task to the parent task progress to update the parent task progress (S102).

Description

Parent task progress update method and device

Cross-reference to related applications

The present application claims priority to Chinese Patent Application No. 201510591617.X filed on Sep. 16, 2015, the entire content of which is hereby incorporated by reference.

Technical field

The present invention relates to the field of Internet technologies, and in particular, to a parent task progress update method and apparatus.

Background technique

In general, a parent task consists of multiple subtasks. According to the number of subtasks, the progress of the parent task is equally divided. After the subtask execution ends, the progress corresponding to the subtask is updated in the progress bar of the parent task. However, the execution time of multiple subtasks is generally different. Assigning the same percentage progress to multiple subtasks does not accurately reflect the update progress and task completion status, that is, subtasks with short execution time and subtasks with long execution time. The progress of the parent task updated after the execution is the same, which does not accurately reflect the progress of the task.

For example, a parent task consists of 10 subtasks, and the percentage of each child task's progress toward the parent task is equally divided by 10%. That is, when a subtask is executed, the progress bar of the parent task is updated by 10%. If the execution time of the 1st-9th subtask is short, and the execution time of the 10th subtask exceeds the total execution time of the first 9 subtasks, the progress of the parent task is quickly updated to 90%, and the last 10% of the progress is delayed. Can't update. For the user, when the progress of the parent task is updated to 90%, the user thinks that the task is about to end. However, the remaining 10% of the progress can not be updated so that the user mistakenly believes that the task is stuck, causing the user to re-execute the task, resulting in wasted system resources and wasted user time.

Summary of the invention

In view of the above problems, the present invention has been made in order to provide an overcoming of the above problems or at least partially The parent task progress update method and the corresponding parent task progress update device for solving the above problem.

According to an aspect of the present invention, a parent task progress update method is provided. The parent task includes multiple subtasks, and the method includes:

Calculating the maximum execution time of each of the plurality of subtasks separately;

According to the maximum execution time of each subtask, divide the progress of the parent task, and determine the percentage progress corresponding to each subtask;

During the execution of the subtask, if the execution of any subtask is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task.

According to another aspect of the present invention, a parent task progress update apparatus is provided. The parent task includes a plurality of subtasks, and the apparatus includes:

a calculation module, configured to separately calculate a maximum execution time of each of the plurality of subtasks;

The determining module is adapted to divide the progress of the parent task according to the maximum execution time of each subtask, and determine a percentage progress corresponding to each subtask;

The complement module is adapted to, during the execution of the subtask, if any subtask execution is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task.

According to the solution provided by the present invention, the maximum execution time of each of the plurality of subtasks is separately calculated, and the progress of the parent task is divided according to the maximum execution time of each subtask, and the percentage progress corresponding to each subtask is determined, and the subtask execution is performed. During the process, if any sub-task execution is detected, the percentage progress of the sub-task is supplemented in the progress of the parent task to update the progress of the parent task, so that the progress of the parent task can be accurately divided, more accurately in the parent task. The progress of the subtask is reflected in the progress, which overcomes the defect that the progress of the parent task is equally divided according to the number of subtasks in the prior art, and the defect of the progress of the parent task cannot be accurately reflected.

The above description is only an overview of the technical solutions of the present invention, and the above-described and other objects, features and advantages of the present invention can be more clearly understood. Specific embodiments of the invention are set forth below.

DRAWINGS

Various other advantages and benefits will be apparent to the present disclosure by reading the following detailed description of the preferred embodiments. Those of ordinary skill in the art will become apparent. The drawings are only for the purpose of illustrating the preferred embodiments and are not to be construed as limiting. Throughout the drawings, the same reference numerals are used to refer to the same parts. In the drawing:

1 shows a flow chart of a parent task progress update method in accordance with one embodiment of the present invention;

2 is a flow chart showing a parent task progress update method according to another embodiment of the present invention;

FIG. 3 is a block diagram showing the structure of a parent task progress updating apparatus according to an embodiment of the present invention; FIG.

4 is a block diagram showing the structure of a parent task progress updating apparatus according to another embodiment of the present invention;

FIG. 5 schematically illustrates a block diagram of a computing device for performing a parent task progress update method in accordance with an embodiment of the present invention;

Fig. 6 schematically shows a storage unit for holding or carrying program code implementing a parent task progress update method according to an embodiment of the present invention.

detailed description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the embodiments of the present invention have been shown in the drawings, the embodiments Rather, these embodiments are provided so that this disclosure will be more fully understood and the scope of the disclosure will be fully disclosed.

1 shows a flow chart of a parent task progress update method in accordance with one embodiment of the present invention. The parent task in this embodiment includes multiple subtasks. As shown in FIG. 1, the method includes the following steps:

Step S100, respectively calculating a maximum execution time of each of the plurality of subtasks.

Among them, the maximum execution time refers to the maximum time required to perform a task to ensure that the task can be fully executed during the time period.

Step S101, according to the maximum execution time of each subtask, divide the progress of the parent task, and determine the percentage progress corresponding to each subtask.

The parent task contains multiple subtasks. After each subtask is executed, the percentage progress corresponding to the subtask is updated in the progress of the parent task, that is, the progress of the parent task is updated. It can visually reflect the completion of the task. In this embodiment, in order to more accurately represent the completion of the subtask in the progress of the parent task, the progress of the parent task is divided according to the maximum execution time of each subtask. The specific performance is that the maximum execution time of the subtask is short, the smaller the percentage of the progress of the parent task, the longer the maximum execution time of the subtask, and the greater the percentage of the progress of the parent task, so that the more accurate The division of the parent task progress overcomes the defect that the progress of the parent task is equally divided according to the number of subtasks in the prior art, and the defect of the progress of the parent task cannot be accurately reflected.

Step S102: During the execution of the subtask, if any subtask execution is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task.

The flag for ending the subtask execution is a message that the execution of the task sent by the subtask execution process ends. After receiving the message, it can be judged that the subtask execution ends, and the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task.

According to the method provided by the foregoing embodiment of the present invention, the maximum execution time of each of the plurality of subtasks is separately calculated, and the progress of the parent task is divided according to the maximum execution time of each subtask, and the percentage progress of each subtask is determined. During the execution of the subtask, if the execution of any subtask is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task, so that the progress of the parent task can be accurately divided, and more accurate. The completion of the subtask is reflected in the progress of the parent task, which overcomes the defect that the progress of the parent task is equally divided according to the number of subtasks in the prior art, and the defect of the progress of the parent task cannot be accurately reflected.

2 shows a flow chart of a parent task progress update method in accordance with another embodiment of the present invention. As shown in FIG. 2, the method includes the following steps:

Step S200, respectively calculating a maximum execution time of each of the plurality of subtasks.

Step S201: Calculate the execution time of the parent task according to the maximum execution time of the plurality of subtasks.

Specifically, the execution time of the parent task is the sum of the maximum execution times of the plurality of subtasks. The execution time of the parent task can be calculated according to the maximum execution time of each subtask calculated in step S200.

Step S202, according to the ratio of the maximum execution time of each subtask to the execution time of the parent task. Determine the percentage of each child task's progress toward the parent task to determine the percentage progress for each child task.

In this embodiment, multiple subtasks are sequentially executed as an example, that is, after the first subtask is executed, the second subtask is executed, and after the second subtask is executed, the third subtask is executed, ... until all The subtask execution ends. Therefore, in this step, the percentage progress corresponding to each subtask is the percentage progress obtained by the sum of the subtask's percentage of the progress of the parent task and the percentage of the subtasks that have been sequentially executed before the subtask, which is the percentage of the progress of the parent task, that is, Say, the percentage progress of the second subtask is the percentage progress of the sum of the percentage of the second subtask in the progress of the parent task and the percentage of the first subtask in the progress of the parent task.

For example, the parent task contains 5 subtasks. The maximum execution time of the 5 subtasks is 30 minutes, 50 minutes, 15 minutes, 100 minutes, and 6 minutes. The sum of the maximum execution time of the 5 subtasks is 195 minutes, that is, the parent task. The execution time is 196 minutes.

The percentage of the first subtask to the progress of the parent task is: 30/201 = 14.9%;

The percentage of the second subtask to the progress of the parent task is: 50/201 = 24.9%;

The percentage of the third subtask to the progress of the parent task is: 15/201 = 7.5%;

The percentage of the fourth subtask to the progress of the parent task is: 100/201 = 49.8%;

The percentage of the fifth subtask to the progress of the parent task is: 6/201 = 2.9%;

The percentage progress of the first subtask is 14.9%; the percentage progress of the second subtask is 39.8% (14.9%+24.9%); the percentage progress of the third subtask is 47.3% (14.9%+24.9%+7.5%) The percentage progress of the fourth subtask is 97.1% (14.9%+24.9%+7.5%+49.8%); the percentage progress of the fifth subtask is 100% (14.9%+24.9%+7.5%+49.8%+2.9) %); here is just an example and does not have any limiting effect.

The maximum execution time of each subtask is different. According to the ratio of the maximum execution time of each subtask to the execution time of the parent task, the percentage of each subtask's progress of the parent task is determined, and then the percentage progress of each subtask is determined, thereby ensuring the child. The shorter the maximum execution time of the task, the smaller the percentage of the progress of the parent task, the longer the maximum execution time of the child task, and the greater the percentage of the progress of the parent task, achieving a more accurate progress of the parent task. Divided to overcome existing In the technology, the progress of the parent task is equally divided according to the number of subtasks, and the defects of the subtask completion cannot be accurately reflected.

In step S203, the maximum execution time of each subtask is divided into a plurality of time slices.

In order to overcome the long execution time of a sub-task, and the percentage progress of the sub-task is updated in the progress of the parent task after the execution of the sub-task, it is easy to cause the illusion that the task is not executed, so that the user mistakenly believes that the task is not updated and is incorrectly cut off. The problem of the task execution process, here the maximum execution time of each subtask is divided into several time slices. In general, the duration of each time slice is less than the maximum execution time of the subtask. In this embodiment, the following two methods are used to divide the maximum execution time of each subtask:

The first method is to divide the maximum execution time of each subtask by setting the number of time slices, and specifically adopt the following steps:

Set the number of time slices for each subtask to the first threshold.

In the method, the number of time slices of each subtask may be the same, that is, the maximum execution time of each subtask is equally divided into time slices of the first threshold. For example, the maximum execution time of the first subtask is 30 minutes, and the maximum execution time of the second subtask is 40 minutes. The first threshold is set to 5, that is, the number of time slices is 5, then the maximum execution time of the first subtask is The average is divided into 5 time slices, and the time length of each time slice is 6 minutes; the maximum execution time of the second subtask is divided into 5 time slices, and the time length of each time slice is 8 minutes.

Optionally, the number of time slices per subtask can also be different. The number of time slices can be set according to actual needs. For example, the number of time slices of the first subtask is 5, and the number of time slices of the second subtask is 6. This is for illustrative purposes only and does not have any limiting effect.

The second method mainly divides the maximum execution time of each subtask by setting the time length of the time slice, and specifically adopts the following steps:

The length of time for setting the time slice is the second threshold.

In this method, the time length of the time slice can be set according to actual needs. For example, the time length of the time slice can be set to 5 minutes or 7 minutes, which is merely an example and does not have any limiting effect.

Divide the maximum execution time of each subtask into several times of time with the second threshold sheet.

In the method, after the maximum execution time of each subtask is divided, the obtained time slices have the same length of time. However, the number of time slices may be the same or different, depending on the maximum execution time of each subtask.

The maximum execution time of the first subtask is 30 minutes, and the maximum execution time of the second subtask is 40 minutes. The length of the time slice is set to 5, and the maximum execution time of the first subtask is divided into time lengths. For a 5 minute time slice, 6 time slices are obtained; the maximum execution time of the second subtask is divided into time slices of 5 minutes in length, and 8 time slices are obtained.

Step S204, segmenting the percentage progress corresponding to each subtask, and obtaining a percentage progress corresponding to each time slice.

According to the number of time slices obtained in step S203, the percentage progress corresponding to each subtask is segmented. Specifically, the percentage progress corresponding to each subtask is equally divided according to the number of time slices, and the percentage progress corresponding to each time slice is obtained.

Step S205, during the execution of the subtask, detecting whether the execution time of the subtask reaches the time corresponding to any time slice, and if yes, executing step S206; if not, waiting.

Specifically, the execution time of the subtask can be calculated by setting a timer. The timer is used to detect whether the execution time of the subtask reaches the time corresponding to any time slice, and according to the detection result, it is determined whether the percentage progress corresponding to the time slice is updated in the progress of the parent task. If the execution time of the subtask reaches the time corresponding to any time slice, the percentage progress corresponding to the time slice is updated in the progress of the parent task; if the execution time of the subtask does not reach the time corresponding to any time slice, the subtask is continued. Wait for the time corresponding to any time slice to arrive.

Step S206, updating the percentage progress corresponding to the time slice in the progress of the parent task.

After detecting that the execution time of the subtask reaches the time corresponding to any time slice according to step S205, the percentage progress corresponding to the time slice is updated in the progress of the parent task.

In this embodiment, by dividing the maximum execution time of each subtask, and dividing the percentage progress of the subtask according to the number of divisions, after the execution time of the subtask reaches the time corresponding to any time slice, Update the percentage progress corresponding to the time slice in the progress of the parent task, thereby overcoming the execution time of a certain sub-task is too long, and the progress of the parent task has not been updated, resulting in any The illusion that the service is not executed makes the user mistakenly think that the task is not updated and the problem of the task execution process is erroneously cut off.

Step S207, after detecting the end of execution of any subtask, detecting whether the execution time of any subtask is the maximum execution time of the subtask, and if not, executing step S208.

The flag for ending the subtask execution is a message that the execution of the task sent by the subtask execution process ends. After receiving the message, it can be judged that the subtask execution ends. Determining the execution time of the subtask according to the set timer, and comparing the subtask execution time with the maximum execution time of the subtask, detecting whether the execution time of any subtask is the maximum execution time of the subtask, if the subtask The execution time of the subtask is not the maximum execution time of the subtask, indicating that the execution time of the subtask is less than the maximum execution time, that is, the time corresponding to the time slice is not all executed, and the percentage progress corresponding to the subtask is not updated. Finish.

When it is detected that the execution time of any subtask is the maximum execution time of the subtask, it is explained that the time slice after the division in step S203 has been completely executed, that is, the execution time of the subtask has been detected to have reached all the time slices. Corresponding time, the percentage progress corresponding to all the time slices of the subtask is updated in the progress of the parent task, that is, the percentage progress corresponding to the subtask is updated in the progress of the parent task.

Step S208, supplementing the percentage progress of the subtask in the progress of the parent task to update the progress of the parent task.

In the case that it is detected that the execution time of any subtask is less than the maximum execution time of the subtask, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task.

According to the method provided by the foregoing embodiment of the present invention, the execution time of the parent task is calculated according to the maximum execution time of the plurality of subtasks, and the ratio of the maximum execution time of each subtask to the execution time of the parent task is determined according to the ratio of the execution time of each subtask to the parent task. The percentage is determined to determine the percentage progress of each subtask, so that the progress of the parent task is more accurately divided, and the progress of the parent task is divided according to the number of subtasks in the prior art, and the progress of the parent task cannot be accurately reflected. The defect of the situation; the maximum execution time of each subtask is divided into a plurality of time slices, and the percentage progress corresponding to each subtask is divided to obtain a percentage progress corresponding to each time slice, and the subtask is detected during the execution of the subtask Whether the execution time reaches the time corresponding to any time slice, and if so, updates the percentage progress corresponding to the time slice in the progress of the parent task, and detects any subtask execution After the end of the line, it is detected whether the execution time of any subtask is the maximum execution time of the subtask, and if not, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task, thereby overcoming a certain sub The execution time of the task is too long, and the percentage progress of the subtask is updated in the progress of the parent task after the execution of the subtask. It is easy to cause the illusion that the task is not executed, and the user mistakenly believes that the task is not updated and the defect of the task execution process is erroneously cut off. .

FIG. 3 is a block diagram showing the structure of a parent task progress updating apparatus according to an embodiment of the present invention. In this embodiment, the parent task includes multiple subtasks. As shown in FIG. 3, the apparatus includes: a computing module 300, a determining module 310, and a complementing module 320.

The calculation module 300 is adapted to calculate a maximum execution time of each of the plurality of subtasks separately.

The determining module 310 is adapted to divide the progress of the parent task according to the maximum execution time of each subtask, and determine a percentage progress corresponding to each subtask.

The parent task contains multiple subtasks. After each subtask is executed, the percentage progress corresponding to the subtask is updated in the progress of the parent task. That is to say, the progress of the update of the parent task can intuitively reflect the completion of the task. In this embodiment, in order to more accurately represent the completion of the subtask in the progress of the parent task, the progress of the parent task is divided according to the maximum execution time of each subtask. The specific performance is that the maximum execution time of the subtask is short, the smaller the percentage of the progress of the parent task, the longer the maximum execution time of the subtask, and the greater the percentage of the progress of the parent task, so that the more accurate The division of the parent task progress overcomes the defect that the progress of the parent task is equally divided according to the number of subtasks in the prior art, and the defect of the progress of the parent task cannot be accurately reflected.

The complement module 320 is adapted to, during the execution of the subtask, if the execution of any subtask is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task.

The flag for ending the execution of the subtask is a message that the execution of the task sent by the subtask execution process ends. After receiving the message, the subtask execution end is judged, and the percentage progress of the subtask is supplemented in the progress of the parent task. To update the progress of the parent task.

According to the apparatus provided by the foregoing embodiment of the present invention, the maximum execution time of each of the plurality of subtasks is separately calculated, and the progress of the parent task is divided according to the maximum execution time of each subtask. Determine the percentage progress corresponding to each subtask. During the execution of the subtask, if any subtask execution is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task, thereby accurately The progress of the parent task is divided, and the completion of the subtask is more accurately reflected in the progress of the parent task, which overcomes the defect that the progress of the parent task is equally divided according to the number of subtasks in the prior art, and the progress of the parent task cannot be accurately reflected.

FIG. 4 is a block diagram showing the structure of a parent task progress updating apparatus according to another embodiment of the present invention. In this embodiment, the parent task includes multiple subtasks. As shown in FIG. 4, the apparatus includes: a calculation module 400, a determination module 410, and a complement module 420.

The calculation module 400 is adapted to calculate a maximum execution time of each of the plurality of subtasks.

The determining module 410 is adapted to divide the progress of the parent task according to the maximum execution time of each subtask, and determine a percentage progress corresponding to each subtask.

The complementing module 420 is adapted to, during the execution of the subtask, if any subtask execution is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task.

The determining module 410 further includes: a calculating unit 411 and a determining unit 412.

The calculating unit 411 is adapted to calculate an execution time of the parent task according to a maximum execution time of the plurality of subtasks.

Specifically, the execution time of the parent task is the sum of the maximum execution times of the plurality of subtasks. The execution time of the parent task can be calculated according to the maximum execution time of each subtask calculated by the calculation module 400.

The determining unit 412 is adapted to determine, according to the ratio of the maximum execution time of each subtask to the execution time of the parent task, the percentage of each subtask in the progress of the parent task to determine a percentage progress corresponding to each subtask.

In this embodiment, multiple subtasks are sequentially executed as an example, that is, after the first subtask is executed, the second subtask is executed, and after the second subtask is executed, the third subtask is executed, ... until all The subtask execution ends. Therefore, the percentage progress for each subtask is the percentage progress from the sum of the percentage of the subtask's progress to the parent's task and the percentage of the subtasks that have been executed sequentially before the subtask. That is, the percentage progress of the second subtask is the percentage of the second subtask as a percentage of the progress of the parent task and the percentage of the first subtask as a percentage of the progress of the parent task. And get the percentage progress.

The apparatus further includes a segmentation module 430, a detection module 440, and an update module 450.

The segmentation module 430 is configured to divide the maximum execution time of each subtask into a plurality of time slices; and divide the percentage progress corresponding to each subtask to obtain a percentage progress corresponding to each time slice.

Optionally, the segmentation module 430 further includes: a setting unit 431 and a segmentation unit 432.

The maximum execution time of a subtask is split by two partitioning methods:

In the first division mode, the setting unit 431 is adapted to set the number of time slices of each subtask to be a first threshold.

The segmentation unit 432 is configured to divide the maximum execution time of each sub-task into a time slice of the first threshold, and divide the percentage progress corresponding to each sub-task to obtain a percentage progress corresponding to each time slice.

Specifically, the number of time slices of each subtask may be the same, that is, the maximum execution time of each subtask is equally divided into time slices whose number is the first threshold. For example, the maximum execution time of the first subtask is 30 minutes, and the maximum execution time of the second subtask is 40 minutes. The first threshold is set to 5, that is, the number of time slices is 5, then the maximum execution of the first subtask is performed. The time average is divided into 5 time slices, and the time length of each time slice is 6 minutes; the maximum execution time of the second subtask is divided into 5 time slices, and the time length of each time slice is 8 minutes.

In the second division mode, the setting unit 431 is adapted to set the time length of the time slice to be the second threshold. Specifically, the time length of the time slice can be set according to actual needs. For example, the time slice can be set to 5 minutes or 7 minutes. This is for illustrative purposes only and does not have any limiting effect.

The dividing unit 432 is configured to divide the maximum execution time of each subtask into a plurality of time slices whose time length is the second threshold, and divide the percentage progress corresponding to each subtask to obtain a percentage progress corresponding to each time slice. .

Wherein, after dividing the maximum execution time of each subtask, the obtained time slices have the same length of time. However, the number of time slices may be the same or different, depending on the maximum execution time of each subtask.

The detecting module 440 is adapted to detect, during the execution of the subtask, whether the execution time of the subtask reaches the time corresponding to any time slice.

The update module 450 is adapted to update the percentage progress corresponding to the time slice in the progress of the parent task in the case of detecting whether the execution time of the subtask reaches the time corresponding to any time slice.

The complementing module 420 is further adapted to: after detecting the execution of any subtask, detecting whether the execution time of any subtask is the maximum execution time of the subtask, and if not, compiling the corresponding subtask in the progress of the parent task The percentage progress to update the progress of the parent task.

According to the foregoing embodiment of the present invention, the execution time of the parent task is calculated according to the maximum execution time of the plurality of subtasks, and the ratio of the maximum execution time of each subtask to the execution time of the parent task is determined. The percentage is determined to determine the percentage progress of each subtask, so that the progress of the parent task is more accurately divided, and the progress of the parent task is divided according to the number of subtasks in the prior art, and the progress of the parent task cannot be accurately reflected. The defect of the situation; the maximum execution time of each subtask is divided into a plurality of time slices, and the percentage progress corresponding to each subtask is divided to obtain a percentage progress corresponding to each time slice, and the subtask is detected during the execution of the subtask Whether the execution time reaches the time corresponding to any time slice, and if so, updates the percentage progress corresponding to the time slice in the progress of the parent task, and detects the execution time of any sub-task after detecting the execution of any sub-task Whether it is the maximum execution time of the subtask, if not, then the parent In the progress, the percentage progress of the subtask is supplemented to update the progress of the parent task, thereby overcoming the execution time of a subtask is too long, and the percentage progress of the subtask is updated in the progress of the parent task after the execution of the subtask is completed. The illusion that the task is not executed, the user mistakenly believes that the task is not updated and erroneously cuts off the defects of the task execution process.

The algorithms and displays provided here are not tied to any particular computer, virtual system, or other device. Related. Various general purpose systems can also be used with the teaching based on the teachings herein. The structure required to construct such a system is apparent from the above description. Moreover, the invention is not directed to any particular programming language. It is to be understood that the invention may be embodied in a variety of programming language, and the description of the specific language has been described above in order to disclose the preferred embodiments of the invention.

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

Similarly, the various features of the invention are sometimes grouped together into a single embodiment, in the above description of the exemplary embodiments of the invention, Figure, or a description of it. However, the method disclosed is not to be interpreted as reflecting the intention that the claimed invention requires more features than those recited in the claims. Rather, as the following claims reflect, inventive aspects reside in less than all features of the single embodiments disclosed herein. Therefore, the claims following the specific embodiments are hereby explicitly incorporated into the embodiments, and each of the claims as a separate embodiment of the invention.

Those skilled in the art will appreciate that the modules in the devices of the embodiments can be adaptively changed and placed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and further they may be divided into a plurality of sub-modules or sub-units or sub-components. In addition to such features and/or at least some of the processes or units being mutually exclusive, any combination of the features disclosed in the specification, including the accompanying claims, the abstract and the drawings, and any methods so disclosed, or All processes or units of the device are combined. Each feature disclosed in this specification (including the accompanying claims, the abstract and the drawings) may be replaced by alternative features that provide the same, equivalent or similar purpose.

In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features that are included in other embodiments and not in other features, combinations of features of different embodiments are intended to be within the scope of the present invention. Different embodiments are formed and formed. For example, in the following claims, any one of the claimed embodiments can be used in any combination.

Various component embodiments of the present invention may be implemented in hardware or in one or more processes Implemented by software modules running on the device, or in combinations of them. Those skilled in the art will appreciate that a microprocessor or digital signal processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components of the parent task progress update device in accordance with embodiments of the present invention. The invention can also be implemented as a device or device program (e.g., a computer program and a computer program product) for performing some or all of the methods described herein. Such a program implementing the invention may be stored on a computer readable medium or may be in the form of one or more signals. Such signals may be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

For example, Figure 5 illustrates a computing device that can implement a parent task progress update method in accordance with the present invention. The computing device conventionally includes a processor 510 and a computer program product or computer readable medium in the form of a storage device 520. Storage device 520 can be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM. Storage device 520 has a storage space 530 that stores program code 531 for performing any of the method steps described above. For example, storage space 530 storing program code may include various program code 531 for implementing various steps in the above methods, respectively. The program code can be read from or written to one or more computer program products. These computer program products include program code carriers such as a hard disk, a compact disk (CD), a memory card, or a floppy disk. Such a computer program product is typically a portable or fixed storage unit such as that shown in FIG. The storage unit may have storage segments, storage spaces, and the like that are similarly arranged to storage device 520 in the computing device of FIG. The program code can be compressed, for example, in an appropriate form. Typically, the storage unit comprises computer readable code 531 ' for performing the steps of the method according to the invention, ie code that can be read by a processor such as 510, which when executed by the computing device causes the computing device Perform the various steps in the method described above.

It is to be noted that the above-described embodiments are illustrative of the invention and are not intended to be limiting, and that the invention may be devised without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as a limitation. The word "comprising" does not exclude the presence of the elements or steps that are not recited in the claims. The word "a" or "an" The invention can be implemented by means of hardware comprising several distinct elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be the same A hardware item is embodied. The use of the words first, second, and third does not indicate any order. These words can be interpreted as names.

Claims

A parent task progress update method, the parent task includes a plurality of subtasks, and the method includes:

Calculating the maximum execution time of each of the plurality of subtasks separately;

According to the maximum execution time of each subtask, divide the progress of the parent task, and determine the percentage progress corresponding to each subtask;

During the execution of the subtask, if the execution of any subtask is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task.
The method according to claim 1, wherein the parent task progress is divided according to a maximum execution time of each subtask, and determining a percentage progress corresponding to each subtask further comprises:

Calculating an execution time of the parent task according to a maximum execution time of the plurality of subtasks;

A percentage of each subtask occupies the progress of the parent task is determined according to a ratio of a maximum execution time of each subtask to an execution time of the parent task, to determine a percentage progress corresponding to each subtask.
The method according to claim 1 or 2, wherein during the execution of the subtask, if the execution of any subtask is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task. The method also includes:

Split the maximum execution time of each subtask into several time slices;

Divide the percentage progress corresponding to each subtask to obtain the percentage progress corresponding to each time slice;

During the execution of the subtask, it is detected whether the execution time of the subtask reaches the time corresponding to any time slice, and if so, the percentage progress corresponding to the time slice is updated in the progress of the parent task.
The method according to claim 3, wherein the dividing the maximum execution time of each subtask into a plurality of time slices further comprises:

Setting the number of time slices of each subtask to a first threshold;

The maximum execution time of each subtask is equally divided into time slices whose number is the first threshold.
The method of claim 3, wherein the maximum execution time of each subtask is divided Cutting into several time slices further includes:

Setting a time slice length is a second threshold;

The maximum execution time of each subtask is divided into a plurality of time slices whose time length is the second threshold.
The method according to any one of claims 3-5, wherein during the execution of the subtask, if the execution of any subtask is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the parent. Task progress further includes:

After detecting the execution of any subtask, it is detected whether the execution time of any subtask is the maximum execution time of the subtask, and if not, the percentage progress of the subtask is supplemented in the progress of the parent task to update the parent task. schedule.
A parent task progress update device, the parent task includes a plurality of subtasks, and the device includes:

a calculation module, configured to separately calculate a maximum execution time of each of the plurality of subtasks;

The determining module is adapted to divide the progress of the parent task according to the maximum execution time of each subtask, and determine a percentage progress corresponding to each subtask;

The complement module is adapted to, during the execution of the subtask, if any subtask execution is detected, the percentage progress of the subtask is supplemented in the progress of the parent task to update the progress of the parent task.
The apparatus of claim 7, the determining module further comprising:

a calculating unit, configured to calculate an execution time of the parent task according to a maximum execution time of the multiple subtasks;

And a determining unit, configured to determine, according to a ratio of a maximum execution time of each subtask to an execution time of the parent task, a percentage of each subtask occupying the progress of the parent task to determine a percentage progress corresponding to each subtask.
The device according to claim 7 or 8, the device further comprising:

The segmentation module is configured to divide the maximum execution time of each subtask into a plurality of time slices; segment the percentage progress corresponding to each subtask, and obtain a percentage progress corresponding to each time slice;

a detecting module, configured to detect, during the execution of the subtask, whether the execution time of the subtask is The time corresponding to any time slice;

The update module is adapted to update the percentage progress corresponding to the time slice in the progress of the parent task in the case of detecting whether the execution time of the subtask reaches the time corresponding to any time slice.
The apparatus according to claim 9, wherein the segmentation module further comprises:

a setting unit, configured to set a number of time slices of each subtask as a first threshold;

The segmentation unit is configured to divide the maximum execution time of each subtask into a time slice with a quantity of the first threshold, and divide the percentage progress corresponding to each subtask to obtain a percentage progress corresponding to each time slice.
The apparatus according to claim 9, wherein the segmentation module further comprises:

a setting unit, configured to set a time slice length to a second threshold;

The segmentation unit is configured to divide the maximum execution time of each subtask into a plurality of time slices whose time length is the second threshold, and divide the percentage progress corresponding to each subtask to obtain a percentage progress corresponding to each time slice.
A device according to any one of claims 9-11, the complement module further adapted to:

After detecting the execution of any subtask, it is detected whether the execution time of any subtask is the maximum execution time of the subtask, and if not, the percentage progress of the subtask is supplemented in the progress of the parent task to update the parent task. schedule.