CN116320031A - Server response method, device and medium - Google Patents

Abstract

The application discloses a server response method, equipment and medium, belonging to the technical field of server management. After the task of the user equipment applies for server resources, determine the idle response equipment of the server and the equipment performance of each idle response equipment, assign the target response equipment with the best equipment performance among all idle response equipment, and execute the user equipment through the target response equipment The task of applying for server resources. Therefore, on the premise of not affecting the user's use, through the optimized scheduling strategy, the user is provided with the response device with the best performance, that is, the response device with the best performance is preferentially assigned to the user device, so that the response device can exert the maximum performance and provide Optimal user experience. Through the scheduling management of the server's response equipment, the performance of the response equipment can be fully utilized.

Description

Server response method, device and medium

technical field

The present application relates to the field of server management, in particular to a server response method, a server response device and a computer-readable storage medium.

Background technique

At present, with the continuous improvement of mobile terminal users' mobile terminal experience, more and more mobile terminal users are willing to use mobile devices such as mobile devices to perform various large-scale tasks such as playing games. The special effects of games are getting more and more dazzling, and the hardware configuration requirements of mobile devices are getting higher and higher, which means that in order to achieve large-scale tasks such as experiencing a new game, you need to change to a new mobile phone or need to occupy more device resources. Seriously restricting the promotion of tasks and the experience of mobile phone users, in order to solve these problems, cloud applications came into being.

Cloud applications such as cloud games usually deploy servers in the computer room. These servers manage a group of high-configuration mobile devices such as Android devices as response devices, and display scenes such as games to user mobile phones through the streaming function. The operation is transmitted to the server to complete the interaction, so that the user can use a mobile phone with low configuration or use less mobile phone resources to experience some relatively large and relatively new applications and games. For example, when a user uses a cloud game to apply for resources from the server, the server will allocate an Android device and the user's mobile phone to complete the streaming function and game interaction.

Contents of the invention

The main purpose of this application is to provide a server response method, a server response device and a computer-readable storage medium, aiming to solve the technical problem in conventional technologies that the performance of the response device cannot be fully utilized due to chaotic management of the response device.

In order to achieve the above purpose, the present application provides a server response method, the method comprising:

After receiving the application request of the user equipment for server resources, determine the idle response equipment of the server and the equipment performance of the idle response equipment;

Allocating a target response device with the best device performance among the idle response devices to the user equipment, and using the target response device to execute tasks on the user equipment.

Exemplarily, the indicators characterizing the performance of the device include CPU occupancy rate, memory usage, remaining available memory space and elapsed running time of the responding device, and the step of determining the device performance of the idle responding device of the server includes:

The device performance of the idle response device of the server is determined through one or more of the indicators and the preset weights corresponding to the indicators.

Exemplarily, after the step of performing the task of applying for server resources on the user equipment through the target responding equipment, it includes:

After receiving the user equipment's release request for all the tasks of the applied server resources, adjusting the target responding device to be an idle responding device.

Exemplarily, the method further includes:

Counting the number of applications or releases of server resources by the user equipment within the preset first period of time;

If the number of applications or the number of releases is greater than the first preset number, it is forbidden to respond to the application request or release request of the server resource by the task of the user equipment within a preset second time period.

Exemplarily, the method further includes:

Restarting the idle response device of the server based on the prediction model; wherein, the prediction model is a prediction model established according to the number of idle response devices and the number of user devices applying for server resources in each historical time period when the user uses the server;

Or, determine a target time period in which the user usage rate is lower than a preset usage rate, and restart the idle response device of the server during the target time period.

Exemplarily, the step of restarting the idle response device of the server based on the predictive model further includes:

Obtaining the first predicted number of idle response devices in the current time period and the second predicted number of user equipments applying for server resources according to the prediction model;

Determine the optimal restart number in the current time period based on the first predicted number and the second predicted number, and simultaneously restart idle responding devices with the worst device performance and the optimal restart number.

Exemplarily, the step of restarting the idle response device of the server during the target time period includes:

determining the number of user equipments that are using server resources within the target time period;

comparing the number of user equipments with a preset redundancy number;

If the number of user equipments does not exceed the preset redundancy number, restart the idle response equipment with the worst equipment performance.

Exemplarily, after the step of determining the size between the number of user equipments and the preset redundancy number, it further includes:

If the number of user equipments exceeds the preset redundancy number, re-determine the size between the number of user equipments and the preset redundancy number after delaying the preset third period of time, and count the number of delays;

If the number of postponements is greater than the preset second number of times, cancel restarting the idle response device with the worst device performance.

The present application also provides a server response device, the server response device includes: a memory, a processor, and a computer program stored on the memory and operable on the processor, the computer program is processed by the When the server executes, it implements the steps of the server response method described above.

The present application also provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned server response method are implemented.

The present application also provides a server response device, and the server response device includes:

A determining module, configured to determine the idle response device of the server and the device performance of the idle response device after receiving the user equipment's application request for server resources;

An allocating module, configured to allocate, to the user equipment, a target responding device with the best device performance among the idle responding devices, and execute tasks on the user equipment through the target responding device.

The present application discloses a server response method, a server response device, and a computer-readable storage medium. After receiving a user device's application request for server resources, determine the server's idle response device and the device performance of the idle response device; The user equipment allocates a target response device with the best device performance among the idle response devices, and executes a task on the user equipment through the target response device.

After the task of the user equipment applies for server resources, determine the idle response equipment of the server and the equipment performance of each idle response equipment, assign the target response equipment with the best equipment performance among all idle response equipment, and execute the user equipment through the target response equipment The task of applying for server resources. Therefore, on the premise of not affecting the user's use, through the optimized scheduling strategy, the user is provided with the response device with the best performance, that is, the response device with the best performance is preferentially assigned to the user device, so that the response device can exert the maximum performance and provide Optimal user experience. Through the scheduling management of the server's response equipment, the performance of the response equipment can be fully utilized.

Description of drawings

Fig. 1 is a schematic structural diagram of the operating equipment of the hardware operating environment involved in the embodiment of the present application;

FIG. 2 is a schematic flowchart of an embodiment of a server response method involved in the embodiment of the present application;

FIG. 3 is a schematic flowchart of another embodiment of the server response method involved in the solution of the embodiment of the present application;

FIG. 4 is a schematic flowchart of another embodiment of the server response method involved in the solution of the embodiment of the present application;

Fig. 5 is a schematic diagram of a server responding device involved in the solution of the embodiment of the present application.

The realization, functional features and advantages of the present application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Detailed ways

It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

Referring to FIG. 1 , FIG. 1 is a schematic structural diagram of the operating equipment of the hardware operating environment involved in the solution of the embodiment of the present application.

As shown in FIG. 1 , the running device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (WIreless-FIdelity, WI-FI) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) memory, or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001 .

Those skilled in the art can understand that the structure shown in FIG. 1 does not constitute a limitation on the operating equipment, and may include more or less components than shown in the figure, or combine some components, or arrange different components.

As shown in FIG. 1 , memory 1005 as a storage medium may include an operating system, a data storage module, a network communication module, a user interface module, and computer programs.

In the running device shown in Figure 1, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the running device of this application can be set in In the running device, the running device invokes the computer program stored in the memory 1005 through the processor 1001, and performs the following operations:

After receiving the application request of the user equipment for server resources, determine the idle response equipment of the server and the equipment performance of the idle response equipment;

Allocating a target response device with the best device performance among the idle response devices to the user equipment, and using the target response device to execute tasks on the user equipment.

In one embodiment, the processor 1001 can call the computer program stored in the memory 1005, and also perform the following operations:

The indicators characterizing the performance of the device include the CPU occupancy rate of the responding device, the memory usage, the remaining available memory space and the running time, and the step of determining the device performance of the idle responding device of the server includes:

The device performance of the idle response device of the server is determined through one or more of the indicators and the preset weights corresponding to the indicators.

In one embodiment, the processor 1001 can call the computer program stored in the memory 1005, and also perform the following operations:

After the step of executing the task of applying for server resources on the user equipment through the target responding equipment, it includes:

After receiving the user equipment's release request for all the tasks of the applied server resources, adjusting the target responding device to be an idle responding device.

In one embodiment, the processor 1001 can call the computer program stored in the memory 1005, and also perform the following operations:

The method also includes:

Counting the number of applications or releases of server resources by the user equipment within the preset first period of time;

If the number of applications or the number of releases is greater than the first preset number, it is forbidden to respond to the application request or release request of the server resource by the task of the user equipment within a preset second time period.

In one embodiment, the processor 1001 can call the computer program stored in the memory 1005, and also perform the following operations:

The method also includes:

Restarting the idle response device of the server based on the prediction model; wherein, the prediction model is a prediction model established according to the number of idle response devices and the number of user devices applying for server resources in each historical time period when the user uses the server;

Or, determine a target time period in which the user usage rate is lower than a preset usage rate, and restart the idle response device of the server during the target time period.

In one embodiment, the processor 1001 can call the computer program stored in the memory 1005, and also perform the following operations:

The step of restarting the idle response device of the server based on the predictive model also includes:

Obtaining the first predicted number of idle response devices in the current time period and the second predicted number of user equipments applying for server resources according to the prediction model;

Determine the optimal restart number in the current time period based on the first predicted number and the second predicted number, and simultaneously restart idle responding devices with the worst device performance and the optimal restart number.

In one embodiment, the processor 1001 can call the computer program stored in the memory 1005, and also perform the following operations:

The step of restarting the idle response device of the server in the target time period includes:

determining the number of user equipments that are using server resources within the target time period;

comparing the number of user equipments with a preset redundancy number;

If the number of user equipments does not exceed the preset redundancy number, restart the idle response equipment with the worst equipment performance.

In one embodiment, the processor 1001 can call the computer program stored in the memory 1005, and also perform the following operations:

After the step of determining the size between the number of user equipments and the preset redundancy number, it also includes:

If the number of user equipments exceeds the preset redundancy number, re-determine the size between the number of user equipments and the preset redundancy number after delaying the preset third period of time, and count the number of delays;

If the number of postponements is greater than the preset second number of times, cancel restarting the idle response device with the worst device performance.

The embodiment of the present application provides a server response method. Referring to FIG. 2, in an embodiment of the server response method, the method includes:

Step S10, after receiving the application request of the server resource from the user equipment, determine the idle response equipment of the server and the equipment performance of the idle response equipment.

The user equipment’s application request for server resources includes at least the unique device identification information of the user equipment and the unique task identification information of the task applying for resources on the user equipment, and the server according to at least the unique equipment identification information and the unique task identification carried in the application request Information is managed and distributed to its corresponding responding devices.

Wherein, different tasks on one user equipment can send multiple application requests corresponding to different tasks, and at the same time, a unique response device is assigned to the user equipment, and multiple corresponding tasks on the user equipment are run on the response device. In this embodiment, one user equipment is mapped to only one responding device, and multiple tasks of the user equipment are run on the unique responding device, and each responding device can respond to the maximum demand of any application request. The requirements of a task can be executed and processed by any one of the response devices, and a task will not be split into multiple subtasks to be executed separately by multiple response devices.

The task that sends the application request can be game software, office software or other software that can be mapped to the running software of the responding device. In this embodiment, the task software that initiates the application request is not limited.

The user equipment may be an Android device, an IOS device or other types of mobile terminal operating systems. In this embodiment, the operating system of the user equipment is not limited. In addition, in this embodiment, the communication method between the user equipment and the server is not limited.

In this embodiment, the server is pre-configured with a response device as a mapping object device carrying tasks on the user equipment. Wherein, the idle response device of the server refers to a response device that does not execute a task corresponding to an existing application request when receiving an application request, and is in an idle state at that time.

Exemplarily, the indicators characterizing the performance of the device include CPU occupancy rate, memory usage, remaining available memory space and elapsed running time of the responding device, and the step of determining the device performance of the idle responding device of the server includes:

The device performance of the idle response device of the server is determined through one or more of the indicators and the preset weights corresponding to the indicators.

For the allocation strategy of the idle responding device, it is necessary to determine the target responding device to be allocated when the application request is received according to the device performance of the idle responding device. Among them, the indicators characterizing the device performance of the responding device include but are not limited to the CPU usage rate, memory usage, available memory space and elapsed running time of the responding device. When determining the device performance of the idle responding device of the server, one or more A number of the aforementioned metrics determine the device performance of the server's idle response device. In this embodiment, a specific determination method is not limited. In one embodiment, first select the indicators for determining the performance of the device, such as selecting the two indicators of the CPU occupancy rate of the responding device and the remaining available memory space, and then determine the preset weights of these two indicators. In this embodiment, The weight of the CPU usage is 70%, and the weight of the remaining available memory space is 30%. Therefore, according to the CPU usage of each idle response device, the remaining available memory space and their corresponding weights, the weights of all idle response devices are obtained Score, the weighted score is used as the device performance of each idle responding device. Finally, based on the weight scores of each idle response device, the idle response device with the highest weight score is determined as the target response device performance.

Step S20, assigning a target response device with the best device performance among the idle response devices to the user equipment, and using the target response device to execute tasks on the user equipment.

After determining the device performance of each idle response device when the application request is received, determine the target response device with the best device performance in each idle response device according to the device performance, and then execute the task of applying for server resources on the user device through the target response device . In this way, the hardware and software of the local device are correspondingly mapped to the devices in the server room.

In an application scenario, the user applies for resources to the server when using an Android device to execute a cloud game, and the server will allocate an Android target response device and the user's Android device to complete the game interaction through the streaming function.

Due to the characteristics of the server, its response equipment needs to run uninterrupted and high-performance for a long time, and the inherent problems such as fragmentation and caching of the operating system of the response device in the aforementioned operating environment will cause the device performance of the long-running response device to gradually decline. As a result, frame loss and freezes occur, which affects the user's cloud experience.

Due to the characteristics of the response device, it is impossible to achieve long-term uninterrupted and high-performance operation. Therefore, it is necessary to find a compromise solution to allow the response device to exert its maximum performance without affecting the user's use. Through this embodiment, the devices on the server can be sorted and managed, and the responding device with the best performance is preferentially assigned to the user, so as to provide the user with the highest device performance.

In this embodiment, after receiving the application request of the user equipment for server resources, determine the idle response equipment of the server and the equipment performance of the idle response equipment; A preferred target response device, through which the task on the user device is performed.

After the task of the user equipment applies for server resources, determine the idle response equipment of the server and the equipment performance of each idle response equipment, assign the target response equipment with the best equipment performance among all idle response equipment, and execute the user equipment through the target response equipment The task of applying for server resources. Therefore, on the premise of not affecting the user's use, through the optimized scheduling strategy, the user is provided with the response device with the best performance, that is, the response device with the best performance is preferentially assigned to the user device, so that the response device can exert the maximum performance and provide Optimal user experience. Through the scheduling management of the server's response equipment, the performance of the response equipment can be fully utilized.

In another embodiment of the server response method of the present application, after the step of performing the task of applying for server resources on the user equipment through the target response device, it includes:

After receiving the user equipment's release request for all the tasks of the applied server resources, adjusting the target responding device to be an idle responding device.

When the target response device executes the task of applying for server resources on the user device, if the user device sends a release request for all the tasks it has applied for, the target response device corresponding to the user device will synchronously end all mapped tasks , so as to adjust the target responding device corresponding to the user equipment to be an idle responding device, make it become an idle responding device again, and reorder it in the idle responding device, so that it is located in the queue position of the idle responding device where its device performance is located After processing, re-allocate the target responding device with the best device performance for the new user equipment in the new idle responding device queue.

Exemplarily, the method further includes:

Counting the number of applications or releases of server resources by the user equipment within the preset first period of time;

If the number of applications or the number of releases is greater than the first preset number, it is forbidden to respond to the application request or release request of the server resource by the task of the user equipment within a preset second time period.

If within the preset first time period, such as 1 minute, it is counted that the number of application or release times of a user device for server resources is greater than the preset first number, such as 10 times, that is, the application that exceeds the preset first number is received times or release times, it is determined that the corresponding user device is an abnormal device, and the reason for the abnormality may be network fluctuations or malicious attacks. application request or release request.

In this embodiment, a server resource release method and a server resource protection method are proposed. After receiving the release request of the user equipment for all tasks, the target responding device corresponding to the user equipment is adjusted to be an idle responding device, and Count the number of applications or releases of user equipment within a period of time, and disable the abnormal equipment within a period of time after determining that the user equipment is an abnormal device based on the number of applications or releases. Therefore, the response device is further managed, and the performance of the response device is fully utilized on the premise of ensuring a safe response.

In another embodiment of the server response method of the present application, the method further includes:

Restarting the idle response device of the server based on the prediction model; wherein, the prediction model is a prediction model established according to the number of idle response devices and the number of user devices applying for server resources in each historical time period when the user uses the server;

While sorting the idle response devices on the server and assigning the target response device with the best performance to the user task first, combined with the restart strategy proposed in this embodiment, the idle response device is restarted to make it the best device The status of performance, so as to provide users with the highest performance without affecting their use.

In one embodiment, a prediction model can be established based on the number of idle response devices used by users in the server and the number of user devices applying for server resources in each historical time period, and the idle response in the current time period can be predicted through the prediction model The number of devices and the number of user devices applying for server resources, restarting the idle response device of the server. In this embodiment, the input data for training is different time periods, the output data for training is the number of idle response devices corresponding to different time periods and the number of user equipment applying for server resources, and the prediction model The specific type and training process are not limited.

Exemplarily, referring to FIG. 3, the step of restarting the idle response device of the server based on the predictive model further includes:

Step P1, obtaining the first predicted number of idle response devices and the second predicted number of user equipments applying for server resources in the current time period according to the prediction model;

Step P2: Determine an optimal restart number in the current time period based on the first predicted number and the second predicted number, and simultaneously restart idle responding devices with the worst device performance and the optimal restart number.

After obtaining the first predicted number of idle response devices in the current time period and the second predicted number of user equipment applying for server resources according to the prediction model, determine the optimal number of restarts in the current time period according to the first predicted number and the second predicted number . In one embodiment, when the first predicted number is less than the second predicted number, all idle response devices need to be used, and idle response devices are not restarted; when the first predicted number is not less than the second predicted number, determine the current time period The optimal number of restarts is the difference between the first predicted number and the second predicted number, and the idle response device with the worst device performance corresponding to the difference is restarted at the same time, so that multiple restarts can be made at a time without affecting the user's use. Idle response equipment, restart the idle response equipment with maximum efficiency, and finally give full play to the performance of the response equipment.

Or, determine a target time period in which the user usage rate is lower than a preset usage rate, and restart the idle response device of the server during the target time period.

In another embodiment, it is possible to first determine the target time period when the user usage rate is lower than the preset usage rate, that is, determine the target time period when the number of non-idle responding devices is greater than the preset value, such as 3 o'clock in the morning. Therefore, in order to provide users with For the best experience, set an idle response device that restarts the server at the target time every day at regular intervals.

Exemplarily, referring to FIG. 4, the step of restarting the idle response device of the server during the target time period includes:

Step Q1, determining the number of user equipments that are using server resources within the target time period;

Step Q2, comparing the number of user equipments with a preset redundancy number;

Step Q3A, if the number of user equipments does not exceed the preset redundancy number, restart the idle response equipment with the worst equipment performance.

In the process of restarting the idle responding device in the target time period, firstly, the number of user devices using server resources in the target time period and the preset redundancy quantity are determined. Among them, the preset redundancy number refers to the maximum number of target response devices set to prevent the server from being unable to provide available response devices when a new user arrives. For example, there are at most 6 target response devices at each moment, and at least 3 idle response device. Then, determine the size of the number of user equipments in the target time period and the preset redundancy number. If the number of user devices using server resources at this time does not exceed the preset redundancy number, that is, if the number of target response devices that are running the mapping task does not exceed the preset redundancy number, that is, if it is determined that the number of idle response devices at this time If there are enough of them, the idle responding device with the worst device performance can be restarted. Thereby, it is prevented that during the restart process, there are no remaining idle responding devices that can respond to the new user.

Exemplarily, referring to FIG. 4, after the step of determining the size between the number of user equipments and the preset redundancy number, it further includes:

Step Q3B1, if the number of user equipment exceeds the preset redundant number, re-determine the size between the number of user equipment and the preset redundant number after delaying the preset third period of time, and count the number of delays;

Step Q3B2, if the number of delays is greater than the preset second number of times, cancel restarting the idle responding device with the worst device performance.

If the number of user devices using server resources at this time exceeds the preset redundancy number, that is, if the number of target response devices that are running the mapping task exceeds the preset redundancy number, that is, if it is determined that the number of idle response devices is too large at this time If it is less, it is necessary to postpone the preset third time, such as half an hour, to re-determine the size between the number of user equipment and the preset redundancy number, and count the number of delays. And if the number of delays is greater than the preset second number of times, such as 5 times, the idle response device with the worst performance of the restart device is cancelled, and the response device is restarted the next day.

In this embodiment, a method for restarting a responding device is provided, by using a predictive model or restarting a responding device within a target time period, and re-refreshing a responding device with long-term uninterrupted high-performance operation and severe performance degradation to the best device performance , manage the response device through the restart policy, and fully invoke the performance of the response device.

Referring to Figure 5, in addition, the embodiment of the present application also provides a server response device, the server response device includes:

The determination module M1 is configured to determine the idle response equipment of the server and the equipment performance of the idle response equipment after receiving the application request of the server resource from the user equipment;

The assignment module M2 is configured to assign to the user equipment a target response device with the best device performance among the idle response devices, and execute tasks on the user equipment through the target response device.

Exemplarily, the indicators characterizing the performance of the device include CPU usage, memory usage, remaining available memory space and elapsed running time of the responding device, and the determining module is further configured to:

The device performance of the idle response device of the server is determined through one or more of the indicators and the preset weights corresponding to the indicators.

Exemplarily, the server response device includes an adjustment module, configured to:

After the step of executing the task of applying for server resources on the user equipment through the target responding device:

After receiving the user equipment's release request for all the tasks of the applied server resources, adjusting the target responding device to be an idle responding device.

Exemplarily, the server response device includes a prohibition module, configured to:

Counting the number of applications or releases of server resources by the user equipment within the preset first period of time;

If the number of applications or the number of releases is greater than the first preset number, it is forbidden to respond to the application request or release request of the server resource by the task of the user equipment within a preset second time period.

Exemplarily, the server response device includes a restart module, configured to:

Restarting the idle response device of the server based on the prediction model; wherein, the prediction model is a prediction model established according to the number of idle response devices and the number of user devices applying for server resources in each historical time period when the user uses the server;

Or, determine a target time period in which the user usage rate is lower than a preset usage rate, and restart the idle response device of the server during the target time period.

Exemplarily, the restart module is also used for:

Obtaining the first predicted number of idle response devices in the current time period and the second predicted number of user equipments applying for server resources according to the prediction model;

Determine the optimal restart number in the current time period based on the first predicted number and the second predicted number, and simultaneously restart idle responding devices with the worst device performance and the optimal restart number.

Exemplarily, the restart module is also used for:

determining the number of user equipments that are using server resources within the target time period;

comparing the number of user equipments with a preset redundancy number;

If the number of user equipments does not exceed the preset redundancy number, restart the idle response equipment with the worst equipment performance.

Exemplarily, the restart module is also used for:

After the step of determining the size between the number of user equipments and the preset redundancy number:

If the number of user equipments exceeds the preset redundancy number, re-determine the size between the number of user equipments and the preset redundancy number after delaying the preset third period of time, and count the number of delays;

If the number of postponements is greater than the preset second number of times, cancel restarting the idle response device with the worst device performance.

The server response device provided by the present application adopts the server response method in the above-mentioned embodiments to solve the technical problem in the conventional technology that the performance of the response device cannot be fully utilized due to chaotic management of the response device. Compared with the conventional technology, the beneficial effect of the server response device provided by the embodiment of the present application is the same as that of the server response method provided by the above embodiment, and other technical features of the server response device are the same as those disclosed by the method of the above embodiment The same, and will not be repeated here.

In addition, an embodiment of the present application also provides a server response device, the server response device includes: a memory, a processor, and a computer program stored in the memory and operable on the processor, the computer program When executed by the processor, the steps of the above-mentioned server response method are realized.

In addition, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned server response method are implemented.

It should be noted that, as used herein, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or system comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or system. Without further limitations, an element defined by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article or system comprising that element.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product in essence or the part that contributes to the conventional technology, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), several instructions are included to enable a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present application.

The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structures or equivalent process transformations made by using the description of the application and the accompanying drawings are directly or indirectly used in other related technical fields. , are all included in the patent protection scope of the present application in the same way.

Claims (10)

1. A server response method, characterized in that the method comprises: After receiving the application request of the user equipment for server resources, determine the idle response equipment of the server and the equipment performance of the idle response equipment; Allocating a target response device with the best device performance among the idle response devices to the user equipment, and using the target response device to execute tasks on the user equipment. 2. The server response method according to claim 1, characterized in that, the indicators characterizing the performance of the device include CPU occupancy rate, memory usage, remaining available memory space and elapsed running time of the responding device, and the determination server The device performance steps of the idle response device include: The device performance of the idle response device of the server is determined through one or more of the indicators and the preset weights corresponding to the indicators. 3. The server response method according to claim 1, characterized in that, after the step of executing the task of applying for server resources on the user device through the target response device, the method includes: After receiving the user equipment's release request for all the tasks of the applied server resources, adjusting the target responding device to be an idle responding device. 4. The server response method according to claim 3, wherein the method further comprises: Counting the number of applications or releases of server resources by the user equipment within the preset first period of time; If the number of applications or the number of releases is greater than the first preset number, it is forbidden to respond to the application request or release request of the server resource by the task of the user equipment within a preset second time period. 5. The server response method according to claim 1, wherein the method further comprises: Restarting the idle response device of the server based on the prediction model; wherein, the prediction model is a prediction model established according to the number of idle response devices and the number of user devices applying for server resources in each historical time period when the user uses the server; Or, determine a target time period in which the user usage rate is lower than a preset usage rate, and restart the idle response device of the server during the target time period. 6. The server response method according to claim 5, wherein the step of restarting the idle response device of the server based on the predictive model further comprises: Obtaining the first predicted number of idle response devices in the current time period and the second predicted number of user equipments applying for server resources according to the prediction model; Determine the optimal restart number in the current time period based on the first predicted number and the second predicted number, and simultaneously restart idle responding devices with the worst device performance and the optimal restart number. 7. The server response method according to claim 5, wherein the step of restarting the idle response device of the server within the target time period comprises: determining the number of user equipments that are using server resources within the target time period; comparing the number of user equipments with a preset redundancy number; If the number of user equipments does not exceed the preset redundancy number, restart the idle response equipment with the worst equipment performance. 8. The server response method according to claim 7, further comprising: after the step of determining the size between the number of user equipments and the preset redundancy number: If the number of user equipments exceeds the preset redundancy number, re-determine the size between the number of user equipments and the preset redundancy number after delaying the preset third period of time, and count the number of delays; If the number of postponements is greater than the preset second number of times, cancel restarting the idle response device with the worst device performance. 9. A server response device, characterized in that the server response device comprises: a memory, a processor, and a computer program stored on the memory and operable on the processor, the computer program configured to implement The steps of the server response method according to any one of claims 1 to 8. 10. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method according to any one of claims 1 to 8 is realized. The steps of the server response method.

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