WO2020082599A1

WO2020082599A1 - Cloud control method and device, computer apparatus, and storage medium

Info

Publication number: WO2020082599A1
Application number: PCT/CN2018/125111
Authority: WO
Inventors: 赵阳
Original assignee: 平安科技（深圳）有限公司
Priority date: 2018-10-22
Filing date: 2018-12-28
Publication date: 2020-04-30
Also published as: CN109597681A

Abstract

Embodiments of the present application disclose a cloud control method and device, a computer apparatus, and a storage medium. The method comprises the following steps: acquiring a task request sent by a service end and used to establish a scheduled task; establishing a delay reminder task according to the task request; and when the delay reminder task is completed, sending a preset first instruction to the service end, such that the service end executes an operational instruction according to the first instruction. In the method, an independent scheduled task management and control system is established in the cloud, such that all scheduled tasks can be supervised. When a condition of the scheduled task is met, that is, after the delay reminder task returns to zero, the preset first instruction is sent to a corresponding service end. The first instruction comprises an operational instruction requiring periodic execution by the service end such that after receiving the first instruction, the service end parses the first instruction so as to execute the operational instruction, thereby achieving cloud control of the scheduled task, and reducing costs of monitoring the scheduled tasks by means of each service end.

Description

Cloud control method, device, computer equipment and storage medium

This application requires the priority of the Chinese patent application filed on October 22, 2018 in the Chinese Patent Office with the application number 201811231463.3 and the invention titled "Cloud Control Methods, Devices, Computer Equipment, and Storage Media", the entire contents of which are incorporated by reference In this application.

Technical field

The embodiments of the present application relate to the field of business processing, and in particular to a cloud control method, device, computer equipment, and storage medium.

Background technique

Timed task means that the computer executes the operation command preselected or set by the user at the time set by the user to automatically complete the timed task and the timed command.

The inventor realizes that in the prior art, the same user or company has multiple system platforms, and multiple system platforms need to build their own independent servers. When the servers corresponding to each platform issue different timing tasks, each server pair The scheduled tasks in the system are monitored. When the number of scheduled tasks in the system is large, the maintenance and management costs of each server are too high, causing unnecessary waste. Too many monitoring tasks are also a heavy burden on a server or computer terminal with a large load, and occupy too much computing power of the processor.

Summary of the invention

Embodiments of the present application provide a cloud control method, device, computer equipment, and storage medium that uniformly execute timing tasks of each terminal or service end.

In order to solve the above technical problems, a technical solution adopted by the embodiment created by the present application is to provide a cloud control method, including the following steps: acquiring a task request for establishing a scheduled task sent by a business end, wherein Including the operation instruction executed by the scheduled task and the start time of the scheduled task; establishing a delayed reminder task according to the task request; when the delayed reminder task is completed, sending a preset first instruction to the service end, Therefore, the service terminal executes the operation instruction according to the first instruction.

To solve the above technical problems, embodiments of the present application also provide a cloud control device, including: an acquisition module for acquiring a task request sent by a service end to establish a scheduled task, wherein the task request includes the execution of the scheduled task Operation instruction and the start time of the timed task; the processing module is used to establish a delayed reminder task according to the task request; the execution module is used to send a preset A first instruction, so that the service end executes the operation instruction according to the first instruction.

To solve the above technical problems, the embodiments of the present application further provide a computer device, including a memory and a processor, and the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, The processor executes the steps of the cloud control method described above.

To solve the above technical problems, the embodiments of the present application further provide a storage medium storing computer-readable instructions, which when executed by one or more processors cause the one or more processors to execute the above Describe the steps of the cloud control method.

By accepting the timed tasks sent by each business end, an independent timed task management and control system is established in the cloud according to the start time of the timed task and the corresponding operation instruction. Can supervise all the timed tasks. When the conditions of the timed tasks are met, that is, after the delay reminder task is reset to zero, the preset first instruction is sent to the corresponding business end. The first instruction includes timing due to the business end. The operation instruction is executed. Therefore, after receiving the first instruction, the business end executes the operation instruction after parsing, so as to realize the cloud control of the timing task, reduce the monitoring cost of each business end for the timing task, and also It reduces the task burden on the business side and releases more computing power to improve the response speed and business capacity of the business side.

BRIEF DESCRIPTION

In order to more clearly explain the technical solutions in the embodiments of the present application, the drawings required in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application For those skilled in the art, without paying any creative work, other drawings can also be obtained based on these drawings.

FIG. 1 is a schematic flowchart of a cloud control method according to an embodiment of the present application;

2 is a schematic flowchart of assigning multiple delay reminder tasks to a task process according to an embodiment of the present application;

FIG. 3 is a schematic flowchart of process sequencing according to the access volume after the execution of an operation instruction according to an embodiment of the present application;

FIG. 4 is a schematic flowchart of an early warning based on predicted traffic according to an embodiment of the present application;

5 is a schematic flowchart of determining an executable operation instruction according to priority according to an embodiment of the present application;

FIG. 6 is a schematic flowchart of cloud computing power distribution according to an embodiment of the present application;

7 is a schematic diagram of a basic structure of a cloud control device according to an embodiment of the present application;

8 is a block diagram of a basic structure of a computer device according to an embodiment of the present application.

detailed description

In order to enable those skilled in the art to better understand the solution of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the drawings in the embodiments of the present application.

Some processes described in the specification and claims of the present application and the above drawings include multiple operations in a specific order, but it should be clearly understood that these operations may not be in the order in which they appear in this document Execution or parallel execution. The sequence numbers of operations such as 101 and 102 are only used to distinguish different operations. The sequence number itself does not represent any execution sequence. In addition, these processes may include more or fewer operations, and these operations may be performed sequentially or in parallel. It should be noted that the descriptions of "first" and "second" in this article are used to distinguish different messages, devices, modules, etc., and do not represent the order, nor limit "first" and "second". Are different types.

The technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without making creative work fall within the protection scope of the present application.

Those skilled in the art can understand that the term “terminal” and “terminal device” used here include not only devices with wireless signal receivers, but only devices with wireless signal receivers that do not have transmitting capabilities, but also devices that receive and transmit hardware. A device having a device capable of performing reception and transmission hardware of two-way communication on a two-way communication link. Such devices may include: cellular or other communication devices with single-line displays or multi-line displays or cellular or other communication devices without multi-line displays; PCS (Personal Communications Services), which can combine voice and data Processing, fax and / or data communication capabilities; PDA (Personal Digital Assistant), which can include radio frequency receivers, pagers, Internet / Intranet access, web browsers, notepads, calendars and / or GPS (Global Positioning System (Global Positioning System) receiver; conventional laptop and / or palmtop computer or other device that has and / or includes a conventional laptop and / or palmtop computer or other device of a radio frequency receiver. As used herein, "terminal" and "terminal equipment" may be portable, transportable, installed in a vehicle (aeronautical, maritime, and / or terrestrial), or suitable and / or configured to operate locally, and / or In a distributed form, it operates at any other location on the earth and / or space. The "terminal" and "terminal device" used herein may also be a communication terminal, an Internet terminal, a music / video playback terminal, for example, may be a PDA, MID (Mobile Internet Device), and / or have music / video playback Functional mobile phones can also be smart TVs, set-top boxes and other devices.

Please refer to FIG. 1, which is a schematic diagram of a basic process of a cloud control method in this embodiment.

As shown in Figure 1, a cloud control method includes the following steps:

S1100. Obtain a task request sent by a service end to establish a timed task, where the task request includes an operation instruction executed by the timed task and a start time of the timed task;

In this embodiment, the service end can be (but not limited to): computer equipment such as a server end, a PC end, and a mobile terminal.

In this embodiment, when the service side newly creates a timed task, it sends the start time of the timed service, that is, the time when the timed task starts to be executed, and the operation instruction that the timed task needs to execute to the cloud. After receiving the task request sent by the server, the cloud parses and obtains the operation instruction executed by the scheduled task and the start time of the scheduled task.

For example, when the service end is a server, the server is used to receive the lottery request of the user terminal at 20:00 every night. Therefore, it is necessary to open access at 20:00 every night. In order to realize this timed lottery draw function, the business end establishes a timed task. The content of the timed task includes: task start time: 20:00 and the operation instruction that the timed task needs to perform: receive and respond to the lottery request. After collecting the above information, a task request is generated and sent to the cloud. After receiving the request information, the cloud analyzes the task request, and obtains the operation instruction executed by the scheduled task and the start time of the scheduled task. It should be pointed out that the cloud in this embodiment does not just receive the lottery timed task of the business end, but can accept any form of timed task request sent by any computer device according to different application scenarios, for example, in some selective implementations In the method, the task request received by the cloud can be (not limited to): an alarm timer task sent by the terminal, a timer task sent by the server to start the dedicated interface, a timer switch task sent by the terminal or server, or a timer send sent by the terminal Email tasks, etc.

The operation instruction is the operation that the task needs to perform at the specified time. According to different specific application scenarios, the operation instruction can be (not limited to): open setting authority, open setting interface, opening the alarm application, turning on or off the email, etc.

S1200. Establish a delayed reminder task according to the task request;

After receiving the task request sent by the service end, the cloud parses the task request to obtain the operation instruction of the scheduled task and the start time of the scheduled task. Based on the start time, the cloud creates a delayed reminder task.

The delay reminder task means that the cloud obtains the time information of the current time, calculates the time difference between the start time of the scheduled task and the current time, and uses the time difference as the delay time of the delay task. For example, the cloud receives the task request at 16:00, and the start time of the timed character is 20:00. After the cloud calculates that the time difference between the two is 4 hours, a delay task is created, and the delay time of the delay task is 4 hours. When the delay task returns to zero, the cloud sends control instructions including the operation instructions of the timed task to the corresponding business end.

S1300. When the delay reminder task is completed, send a preset first instruction to the service end, so that the service end executes the operation instruction according to the first instruction.

When the delayed task returns to zero, the cloud sends the preset first instruction to the business end of the task request initiator. Wherein, the first instruction includes an operation instruction to be performed by the service end determined by the timing task, and the operation instruction can be (not limited to): open setting authority, open setting interface, opening an alarm application, turning on or off an email, etc. And after receiving the first instruction, the service end must immediately execute the operation instruction included in the first instruction, so as to achieve the goal of centralized management of the timed task through the cloud.

The foregoing embodiment establishes an independent timing task management and control system in the cloud by accepting the timing tasks sent by each service end, and according to the start time of the timing task and the corresponding operation instruction. Can supervise all the timed tasks. When the conditions of the timed tasks are met, that is, after the delay reminder task is reset to zero, the preset first instruction is sent to the corresponding business end. The first instruction includes timing due to the business end. The operation instruction is executed. Therefore, after receiving the first instruction, the business end executes the operation instruction after parsing, so as to realize the cloud control of the timing task, reduce the monitoring cost of each business end for the timing task, and It reduces the task burden on the business side and releases more computing power to improve the response speed and business capacity of the business side.

In some embodiments, when the cloud receives a large number of timed task requests (for example, task requests in the order of millions), a task process needs to be established according to different moments. The task process is to send a set operation instruction to multiple service terminals at the same time or within a period of time according to different delay reminding tasks. Please refer to FIG. 2, which is a schematic flowchart of assigning multiple delay reminder tasks to a task process in this embodiment.

As shown in FIG. 2, step S1200 also includes the following steps:

S1211: Classify the multiple task requests with the start time as a limiting condition;

After acquiring multiple task requests, the cloud analyzes and obtains the start time of the scheduled task included in each task request, and then classifies the multiple task requests with the start time of the scheduled task as a limiting condition. The classified categories are different start-up times.

S1212: Assign the delay reminder task corresponding to the task request that belongs to the same start time to the same task process for execution.

The delayed reminder task is established through the classification results, and the method for establishing the delayed reminder task is to establish the task process according to the sequence of the startup time. In this embodiment, the task process refers to that the cloud executes execution activities of sending multiple first instructions at a time at the same time.

In this embodiment, the delay reminder task corresponding to the request task within the same start time is allocated to the same task process for execution. For example, statistics show that there are 8 task requests to be started at 20:00. When the task is created, the 8 tasks are established in a task process. When this time comes at 20:00, the task process is executed. The result is that within a short period of time (for example, 1 second), the first instructions are sent to the eight service ends respectively.

By placing the delayed reminder tasks performed at the same moment in a task process for execution, the task process is reduced, and at the same time, the execution of the task through the process also increases the speed of task sending.

In some embodiments, the cloud can perform multi-process calculation, that is, a task process includes multiple task threads capable of executing tasks, and each task thread corresponds to executing a delay reminder task. Since multiple task threads in the same task process are arranged linearly, that is, the threads execute in a sequential order, the time interval between threads is very small (for example, 0.01s). However, in order to further improve the differentiated management of each business end in the cloud, when performing task threads, it is sorted according to the access volume after executing the operation instruction. Please refer to FIG. 3, which is a schematic flowchart of process sequencing according to the access volume after the operation instruction is executed in this embodiment.

As shown in FIG. 3, the following steps are also included after step S1212:

S1221: Obtain the access volume of operation instructions corresponding to each reminder task;

After acquiring each task request, the cloud sends information to each business end to obtain the business access volume of each business end after executing the corresponding operation instruction. For example, when the service side is a server side, the operation command regularly executed by the server side is: open a login interface. According to the historical information, the average access volume (XX times / second) of the service terminal after opening the login interface is obtained. According to the above method, the average access volume after each operation instruction is executed by the service end is obtained. Different visits according to specific application scenarios are not only average visits, in some embodiments, the visits can be peak visits.

S1222: Sort the multiple task requests by using the access amount as a limiting condition to generate a sorted list;

According to the acquired execution access volume of each operation instruction, the task requests are sorted in ascending order with the access volume as a limiting condition and a sorted list is generated. Make each task request correspond to a sequence number.

S1223. Confirm that the order of the task requests in the sorted list is the order of the task threads corresponding to the task requests in the task process.

After confirming the sorted list, the order of the delay reminder tasks corresponding to each task request in the task process is determined according to the sequence number corresponding to each task request. Specifically, the delayed reminder task ranked first is regarded as the task executed by the first task thread, and so on. The last delayed reminder task in the sorted list corresponds to the last task thread.

Because the stack principle is followed in the computer task queue, that is, the order of task execution is "first-in-first-out", therefore, the delay reminder task located in the last task thread is sent out first at the start time, and so on, ranking first The operation instruction executed by the task thread is finally issued. Because the earlier the sending time is, the earlier the time for accepting the access can be, thereby dispersing the amount of access and reducing the chance of server-side congestion and downtime due to excessive access peaks.

In some embodiments, when the same server sends multiple task requests to the cloud, and there is an intersection of the execution time of the operation instructions in the multiple task requests, it is necessary to calculate whether the accumulated amount of access after the execution of the operation instructions characterized by the multiple task requests Exceed the processing peak of the business end, and the cloud needs to send warning information to the business end when it exceeds. Please refer to FIG. 4, which is a schematic diagram of an early warning process according to the predicted traffic in this embodiment.

As shown in FIG. 4, before step S1200, the following steps are also included:

S1111: Perform statistics on the multiple task requests using the start time as a limiting condition;

After obtaining multiple task requests sent by the same service end, the cloud analyzes and obtains the start time of the scheduled task included in each task request, and then classifies the multiple task requests with the start time of the scheduled task as a limiting condition. The classified categories are different start-up times.

S1112. When the start time of multiple task requests is the same, obtain the access amount of the operation instruction corresponding to each task request;

According to statistics, among the task requests uploaded by the same service end, multiple task requests have the same start time. Then, after acquiring each task request, the cloud sends information to the business end to obtain the business access volume of the business end after executing the corresponding operation instruction. For example, when the service side is a server side, the operation command regularly executed by the server side is: open a login interface. According to the historical information, the average access volume (XX times / second) of the service terminal after opening the login interface is obtained. According to the above method, the average access volume after each operation instruction is executed by the service end is obtained. Different visits according to specific application scenarios are not only average visits, in some embodiments, the visits can be peak visits.

S1113. Calculate the sum of the access volume of multiple operation instructions, and compare the calculated sum of the access volume with the preset access threshold;

After obtaining the business visits after the execution of each operation instruction based on historical information, the visits of multiple operation instructions with the same start time uploaded by the same business end are accumulated to obtain the sum of the visits, and then the sum Compare with preset access threshold. The access threshold refers to the upper limit of the amount of access that each service can handle. Therefore, depending on the model and configuration of each service, the access threshold changes accordingly. In some embodiments, the access threshold is obtained after the cloud sends an acquisition request to the corresponding service end.

S1114: When the sum of the visits is greater than the visit threshold, send warning information to the service end.

When the sum of visits is greater than the access threshold, the cloud sends warning information to the business. The warning information includes reminding the business end that when multiple operation instructions are executed at the same time, the high concurrency caused by the access has exceeded the rated access threshold of the server, and prompting the business end to reduce the scheduled task at this time or adjust the start time of the scheduled task , In order to stagger access to high concurrency time periods, to achieve a reasonable utilization of computing power resources.

In some optional embodiments, different operation instructions of the service end have a set priority. When the sum of the calculated access volume is greater than the preset access threshold, the priority determines which operation instructions need to be executed and which need not be performed. carried out. Please refer to FIG. 5, which is a schematic flowchart of determining an executable operation instruction according to priority.

As shown in FIG. 5, after step S1114, the following steps are also included:

S1121: Obtain the execution priority of each operation instruction;

After calculating that the sum of the visits after the execution of the operation instruction is greater than the set access threshold, the cloud sends the service end to obtain the priority level of each regularly executed operation instruction. In this way, the priority registration of each operation instruction is acquired.

S1122: Sort the multiple task requests according to the priority;

After obtaining the priority, the multiple task requests are sorted in descending order according to the priority. When sorting, task requests with the same priority are sorted at the same level by the time when the task request is accepted.

S1123: Accumulate the visits requested by the multiple tasks in a sorted order according to a preset flow calculation model;

According to the set flow calculation model in descending power sorting order, the access volume of the operation instructions represented by each order is accumulated in sequence.

Among them, the characteristics of the flow calculation model are described as:

Among them, S represents the cumulative traffic sum; Y represents the preset access threshold; B represents the access volume characterized by each task request; n represents the order of each task request.

It can be known from the above model formula that the accumulated traffic sum is less than or equal to the set access threshold. When the cumulative addition result is greater than the access threshold, it means that the excess needs to be returned to the previous step, and the sum of the accumulated values calculated in this step is the final value. Task requests characterized by the number of visits involved in calculating this value can establish a delayed reminder task.

S1124. When the accumulated result is greater than and equal to the access threshold, it is prohibited to execute the delayed reminder task characterized by the task request that does not perform the cumulative calculation.

When the accumulated result is greater than and equal to the access threshold, the cloud prohibits execution of the delayed reminder task characterized by the task request that does not perform the cumulative calculation. In this way, the task request is screened through the dual variables of priority and access, high concurrency control is achieved, and the scheduling power of the server's computing power is improved.

In some embodiments, the cloud can also be used as the execution party of the operation instruction, that is, after the server sends the scheduled task to the cloud, the execution of the scheduled task can also be performed by the cloud. Then, the final calculation result is returned from the cloud to the business side. Please refer to FIG. 6, which is a schematic flowchart of cloud computing power distribution in this embodiment.

As shown in FIG. 6, after step S1300, the following steps are also included:

S1311: Obtain the computing power required for the operation of the operation instruction;

Obtain the computing power required to execute the operation instructions in each delay reminder task. Computing power refers to the computing power that requires a processor. The cloud includes multiple processors, which can work independently or perform different steps of the same task separately. Therefore, when an operation instruction needs to be run in the cloud, the processor needs to be allocated according to the computing power required by the operation instruction.

The computing power required for operating instructions can be obtained through historical records. It can also be obtained by directly sending request information to the corresponding service end.

S1312: Assign a processor having a mapping relationship with the computing power when the delayed reminder task is completed, so as to execute the operation instruction in the cloud.

When a delay reminder task is cleared to zero, the delay reminder task is reached, and a processor that executes the operation instruction needs to be obtained through calculation of computing power. Then the corresponding processor is allocated to execute the operation instruction, and after the execution is completed, the operation instruction is sent to the service end.

To solve the above technical problems, embodiments of the present application also provide a cloud control device.

Please refer to FIG. 7, which is a schematic structural diagram of a cloud control device according to this embodiment.

As shown in FIG. 7, a cloud control device includes the following steps: an acquisition module 2100, a processing module 2200, and an execution module 2300. Among them, the obtaining module 2100 is used to obtain a task request sent by the service end to establish a timed task, wherein the task request includes an operation instruction executed by the timed task and a start time of the timed task; the processing module 2200 is used to establish a delay reminder according to the task request Task; the execution module 2300 is used to send a preset first instruction to the business end when the delay reminder task is completed, so that the business end executes the operation instruction according to the first instruction.

The cloud control device establishes an independent timing task management and control system in the cloud by accepting the timing tasks sent by each business end, and according to the start time of the timing tasks and the corresponding operation instructions. Can supervise all the timed tasks. When the conditions of the timed tasks are met, that is, after the delay reminder task is reset to zero, the preset first instruction is sent to the corresponding business end. The first instruction includes timing due to the business end. The operation instruction is executed. Therefore, after receiving the first instruction, the business end executes the operation instruction after parsing, so as to realize the cloud control of the timing task, reduce the monitoring cost of each business end for the timing task, and also It reduces the task burden on the business side and releases more computing power to improve the response speed and business capacity of the business side.

In some optional embodiments, the cloud control device further includes: a first processing submodule and a first execution submodule. Among them, the first processing sub-module is used to classify multiple task requests with the start time as a limiting condition; the first execution sub-module is used to allocate the delay reminder task corresponding to the task request that belongs to the same start time to the same task Process execution.

In some optional embodiments, the task process includes multiple task threads, and each task thread corresponds to a delay reminder task; the cloud control device further includes: a first acquisition submodule, a second processing submodule, and a second execution submodule. Among them, the first obtaining sub-module is used to obtain the access amount of the operation instruction corresponding to each reminder task; the second processing sub-module is used to sort the multiple task requests with the access amount as a limiting condition to generate a sorted list; the second execution sub-module It is used to confirm that the order of each task request in the sorting list is the order of the task thread corresponding to each task request in the task process.

In some optional embodiments, when the same service end sends multiple task requests; the cloud control device further includes: a first statistics submodule, a third processing submodule, a first calculation submodule, and a third execution submodule. Among them, the first statistics sub-module is used to count multiple task requests with the start time as the limiting condition; the third processing sub-module is used to obtain the operation instructions corresponding to each task request when the start time of the multiple task requests is the same Access volume; the first calculation sub-module is used to calculate the sum of the access volume of multiple operation instructions, and the calculated sum of the access volume is compared with the preset access threshold; the third execution sub-module is used as the access volume When the sum is greater than the access threshold, warning information is sent to the business side.

In some optional embodiments, the cloud control device further includes: a second acquisition submodule, a first sorting submodule, a fourth processing submodule, and a fourth execution submodule. Among them, the second obtaining sub-module is used to obtain the execution priority of each operation instruction; the first sorting sub-module is used to sort the multiple task requests according to the priority; the fourth processing sub-module is used to calculate the model according to the preset flow Accumulate the access volume of multiple task requests in sorted order; the fourth execution sub-module is used to prohibit execution of the delay reminder task characterized by the task request that does not perform the cumulative calculation when the accumulated result is greater than or equal to the access threshold.

In some optional embodiments, the characteristics of the flow calculation model are described as:

In some optional embodiments, the cloud control device further includes: a third acquisition submodule and a fifth processing submodule. Among them, the third obtaining sub-module is used to obtain the computing power required for the operation instruction to operate; the fifth processing sub-module is used to allocate a processor having a mapping relationship with the computing power when the delay reminder task is completed, so as to execute the operating instruction in the cloud .

To solve the above technical problems, embodiments of the present application also provide computer equipment. Please refer to FIG. 8 for details. FIG. 8 is a block diagram of the basic structure of the computer device of this embodiment.

As shown in FIG. 8, a schematic diagram of the internal structure of the computer device. The computer device includes a processor, a non-volatile storage medium, a memory, and a network interface connected through a system bus. The non-volatile storage medium of the computer device stores an operating system, a database, and computer-readable instructions. The database may store a sequence of control information. When the computer-readable instructions are executed by the processor, the processor may implement a A cloud control method. The processor of the computer device is used to provide computing and control capabilities, and support the operation of the entire computer device. The memory of the computer device may store computer readable instructions. When the computer readable instructions are executed by the processor, the processor may cause the processor to execute a cloud control method. The network interface of the computer device is used to connect and communicate with the terminal. Those skilled in the art may understand that the structure shown in FIG. 8 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. The specific computer equipment may Include more or less components than shown in the figure, or combine certain components, or have a different arrangement of components.

In this embodiment, the processor is used to perform specific functions of the acquisition module 2100, the processing module 2200, and the execution module 2300 in FIG. 7, and the memory stores program codes and various types of data required to execute the above modules. The network interface is used for data transmission to user terminals or servers. The memory in this embodiment stores the program codes and data required to execute all submodules in the face image key point detection device, and the server can call the server program codes and data to execute the functions of all submodules.

The computer equipment establishes an independent timing task management and control system in the cloud by accepting the timing tasks sent by each business end, and according to the start time of the timing tasks and the corresponding operation instructions. Can supervise all the timed tasks. When the conditions of the timed tasks are met, that is, after the delay reminder task is reset to zero, the preset first instruction is sent to the corresponding business end. The first instruction includes timing due to the business end. The operation instruction is executed. Therefore, after receiving the first instruction, the business end executes the operation instruction after parsing, so as to realize the cloud control of the timing task, reduce the monitoring cost of each business end for the timing task, and also It reduces the task burden on the business side and releases more computing power to improve the response speed and business capacity of the business side.

The present application also provides a storage medium storing computer-readable instructions, which when executed by one or more processors, cause the one or more processors to perform the cloud control method according to any of the foregoing embodiments A step of.

A person of ordinary skill in the art may understand that all or part of the processes in the method of the foregoing embodiments may be completed by instructing relevant hardware through a computer program. The computer program may be stored in a computer-readable storage medium, When executed, it may include the processes of the foregoing method embodiments. The aforementioned storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM), etc.

It should be understood that although the steps in the flowchart of the drawings are displayed in order according to the arrows, the steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, there is no strict order limitation for the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, and the order of execution is also It is not necessarily carried out sequentially, but may be executed in turn or alternately with at least a part of other steps or sub-steps or stages of other steps.

Claims

A cloud control method includes the following steps:

Obtain a task request for establishing a timed task sent by a service end, where the task request includes an operation instruction executed by the timed task and a start time of the timed task;

Establishing a delayed reminder task according to the task request;

When the delay reminder task is completed, a preset first instruction is sent to the service end, so that the service end executes the operation instruction according to the first instruction.
The cloud control method according to claim 1, when there are multiple task requests; the step of establishing a delayed reminder task according to the task request further comprises the following steps:

Classify the multiple task requests with the start time as a limiting condition;

Assign the delayed reminder task corresponding to the task request that belongs to the same start time to the same task process for execution.
The cloud control method according to claim 2, wherein the task process includes a plurality of task threads, each task thread corresponds to a delayed reminder task; the delayed reminder task corresponding to a task request belonging to the same start time is allocated The steps to the same task process also include the following steps:

Get the number of visits to the operation instructions corresponding to each reminder task;

Sorting the multiple task requests with the access amount as a limiting condition to generate a sorted list;

Confirm that the order of the task requests in the sorted list is the order of the task threads corresponding to the task requests in the task process.
The cloud control method according to claim 1, when the same service end sends multiple task requests; before the step of establishing a delayed reminder task according to the task request, the method further includes the following steps:

Statistics on the multiple task requests with the start time as a limiting condition;

When the start time of multiple task requests is the same, the access amount of the operation instruction corresponding to each task request is obtained;

Calculate the sum of the access volume of multiple operation instructions, and compare the calculated sum of the access volume with the preset access threshold;

When the sum of the visits is greater than the visit threshold, warning information is sent to the service end.
The cloud control method according to claim 4, wherein after sending the warning information to the service end when the sum of the visits is greater than the access threshold, the method further includes the following steps:

Obtain the execution priority of each operation instruction;

Sort the multiple task requests according to the priority;

Accumulate the number of visits requested by the multiple tasks in a sorted order according to a preset flow calculation model;

When the accumulated result is greater than and equal to the access threshold, it is prohibited to execute the delayed reminder task characterized by the task request that does not perform the accumulation calculation.
According to the cloud control method of claim 5, the characteristics of the flow calculation model are described as:

Among them, S represents the cumulative traffic sum; Y represents the preset access threshold; B represents the access volume characterized by each task request; n represents the order of each task request.
The cloud control method according to claim 1, wherein the task request further includes: computing power required for operation instruction operation; and when the delay reminder task is completed, sending a preset first to the service end Instruction, so that the service end further includes the following steps after the step of executing the operation instruction according to the first instruction:

Obtaining the computing power required for the operation of the operation instruction;

When the delay reminder task is completed, a processor having a mapping relationship with the computing power is allocated to execute the operation instruction in the cloud.
A cloud control device, including:

An obtaining module, configured to obtain a task request sent by the service end to establish a timed task, wherein the task request includes an operation instruction executed by the timed task and a start time of the timed task;

A processing module, configured to establish a delayed reminder task according to the task request;

The execution module is configured to send a preset first instruction to the service end when the delayed reminder task is completed, so that the service end executes the operation instruction according to the first instruction.
A computer device includes a memory and a processor. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the processor executes a cloud control method. The method includes the following steps:

Obtain a task request for establishing a timed task sent by a service end, where the task request includes an operation instruction executed by the timed task and a start time of the timed task;

Establishing a delayed reminder task according to the task request;

When the delay reminder task is completed, a preset first instruction is sent to the service end, so that the service end executes the operation instruction according to the first instruction.
The computer device according to claim 9, when there are multiple task requests; the step of establishing a delayed reminder task according to the task request further comprises the following steps:

Classify the multiple task requests with the start time as a limiting condition;

Assign the delayed reminder task corresponding to the task request that belongs to the same start time to the same task process for execution.
The computer device according to claim 10, the task process includes a plurality of task threads, each task thread corresponds to a delay reminder task; the delay reminder task corresponding to a task request that belongs to the same start time is assigned to The steps performed by the same task process also include the following steps:

Get the number of visits to the operation instructions corresponding to each reminder task;

Sorting the multiple task requests with the access amount as a limiting condition to generate a sorted list;

Confirm that the order of the task requests in the sorted list is the order of the task threads corresponding to the task requests in the task process.
The computer device according to claim 9, when multiple task requests are sent by the same service end; before the step of establishing a delayed reminder task according to the task request, the method further comprises the following steps:

Statistics on the multiple task requests with the start time as a limiting condition;

When the start time of multiple task requests is the same, the access amount of the operation instruction corresponding to each task request is obtained;

Calculate the sum of the access volume of multiple operation instructions, and compare the calculated sum of the access volume with the preset access threshold;

When the sum of the visits is greater than the visit threshold, warning information is sent to the service end.
The computer device according to claim 12, after the warning information is sent to the service end when the sum of the visits is greater than the visit threshold, further comprising the following steps:

Obtain the execution priority of each operation instruction;

Sort the multiple task requests according to the priority;

Accumulate the number of visits requested by the multiple tasks in a sorted order according to a preset flow calculation model;

When the accumulated result is greater than and equal to the access threshold, it is prohibited to execute the delayed reminder task characterized by the task request that does not perform the accumulation calculation.
According to the computer device of claim 13, the characteristics of the flow calculation model are described as:

Among them, S represents the cumulative traffic sum; Y represents the preset access threshold; B represents the access volume characterized by each task request; n represents the order of each task request.
The computer device according to claim 9, wherein the task request further comprises: computing power required for operation instruction to run; and when the delay reminder task is completed, sending a preset first instruction to the service end , So that the service end further includes the following steps after the step of executing the operation instruction according to the first instruction:

Obtaining the computing power required for the operation of the operation instruction;

When the delay reminder task is completed, a processor having a mapping relationship with the computing power is allocated to execute the operation instruction in the cloud.
A non-volatile storage medium storing computer-readable instructions, when the computer-readable instructions are executed by one or more processors, causes the one or more processors to execute a cloud control method, the method includes The following steps:

Obtain a task request for establishing a timed task sent by a service end, where the task request includes an operation instruction executed by the timed task and a start time of the timed task;

Establishing a delayed reminder task according to the task request;

When the delay reminder task is completed, a preset first instruction is sent to the service end, so that the service end executes the operation instruction according to the first instruction.
The non-volatile storage medium according to claim 16, when there are multiple task requests; the step of establishing a delayed reminder task according to the task request further comprises the following steps:

Classify the multiple task requests with the start time as a limiting condition;

Assign the delayed reminder task corresponding to the task request that belongs to the same start time to the same task process for execution.
The non-volatile storage medium according to claim 17, wherein the task process includes a plurality of task threads, and each task thread corresponds to a delay reminder task; the delay corresponding to the task request that belongs to the same startup time Remind the task to be assigned to the steps performed by the same task process, and also include the following steps:

Get the number of visits to the operation instructions corresponding to each reminder task;

Sorting the multiple task requests with the access amount as a limiting condition to generate a sorted list;

Confirm that the order of the task requests in the sorted list is the order of the task threads corresponding to the task requests in the task process.
The non-volatile storage medium according to claim 16, when the same service end sends multiple task requests; before the step of establishing a delayed reminder task according to the task request, the method further includes the following steps:

Statistics on the multiple task requests with the start time as a limiting condition;

When the start time of multiple task requests is the same, the access amount of the operation instruction corresponding to each task request is obtained;

Calculate the sum of the access volume of multiple operation instructions, and compare the calculated sum of the access volume with the preset access threshold;

When the sum of the visits is greater than the visit threshold, warning information is sent to the service end.
The non-volatile storage medium according to claim 19, wherein after sending the warning information to the service end when the sum of the access amount is greater than the access threshold, the method further includes the following steps:

Obtain the execution priority of each operation instruction;

Sort the multiple task requests according to the priority;

Accumulate the number of visits requested by the multiple tasks in a sorted order according to a preset flow calculation model;

When the accumulated result is greater than and equal to the access threshold, it is prohibited to execute the delayed reminder task characterized by the task request that does not perform the accumulation calculation.