CN110166500B

CN110166500B - Business server opening method, device, storage medium and computer equipment

Info

Publication number: CN110166500B
Application number: CN201810141714.2A
Authority: CN
Inventors: 胡凡; 黄炜康; 杨韧; 洪楷
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2018-02-11
Filing date: 2018-02-11
Publication date: 2021-12-14
Anticipated expiration: 2038-02-11
Also published as: CN110166500A

Abstract

The application relates to a business server opening method, a business server opening device, a computer readable storage medium and computer equipment, wherein the method comprises the following steps: acquiring a user quantity change trend index of an opened service server; determining the estimated opening time according to the user quantity change trend index and a pre-configured user quantity threshold; when the duration from the current time to the estimated opening time is less than or equal to the preset preparation duration, configuring a service server to be opened; the current user quantity of the opened service server is inquired periodically; when the current user quantity meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating the opening of the service server to be opened. The scheme provided by the application can realize the timeliness of the opening of the service server.

Description

Business server opening method, device, storage medium and computer equipment

Technical Field

The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for opening a service server, a storage medium, and a computer device.

Background

With the continuous development of computer technology, people's work and life all enjoy convenience of different degrees, and the computer technology has greatly promoted people's quality of life. The development of computer technology has also led to the development of various services, such as network game service, video live broadcast service or network transaction service. The resources that can be provided by each service server are limited for different services. When registered users of services are more and more, required resources are more and more, and at the moment, a new service server needs to be opened to meet actual requirements.

The traditional method for opening the service server is to open a new service server regularly. However, the conventional service server opening method often cannot open the service server in time due to the surge of the user amount of the service or other external condition influences.

Disclosure of Invention

Therefore, it is necessary to provide a service server opening method, device, storage medium and computer apparatus for solving the technical problem that a service server is not opened timely.

A method for opening a service server comprises the following steps:

acquiring a user quantity change trend index of an opened service server;

determining the estimated opening time according to the user quantity change trend index and a pre-configured user quantity threshold;

when the duration from the current time to the estimated opening time is less than or equal to the preset preparation duration, configuring a service server to be opened;

the current user quantity of the opened service server is inquired periodically;

when the current user quantity meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating the opening of the service server to be opened.

A service server opening method comprises the following steps:

accessing an open configuration page;

acquiring a user-defined open condition parameter recorded in the open configuration page; the user-defined open condition parameters comprise a user quantity threshold;

sending the user-defined open condition parameters to a server; the user-defined opening condition parameter is used for indicating the server to determine the estimated opening time according to the user quantity change trend index of the opened service server and the user quantity threshold; configuring a service server to be opened according to the estimated opening time; when the current user quantity of the opened service server meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating the opening of the service server to be opened.

A traffic server opening apparatus, the apparatus comprising:

the acquisition module is used for acquiring the user quantity change trend index of the opened service server;

the determining module is used for determining the estimated opening time according to the user quantity change trend index and a pre-configured user quantity threshold;

the configuration module is used for configuring a service server to be opened when the time length from the current time to the estimated opening time is less than or equal to the preset preparation time length;

the query module is used for periodically querying the current user quantity of the opened service server;

the triggering module is used for triggering an opening instruction when the current user quantity meets the corresponding user-defined opening condition determined according to the user quantity threshold; the opening instruction is used for indicating the opening of the service server to be opened.

A traffic server opening apparatus, the apparatus comprising:

the access module is used for accessing the open configuration page;

the acquisition module is used for acquiring the user-defined open condition parameters recorded in the open configuration page; the user-defined open condition parameters comprise a user quantity threshold;

the sending module is used for sending the user-defined open condition parameters to a server; the user-defined opening condition parameter is used for indicating the server to determine the estimated opening time according to the user quantity change trend index of the opened service server and the user quantity threshold; configuring a service server to be opened according to the estimated opening time; when the current user quantity of the opened service server meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating the opening of the service server to be opened.

A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to perform the steps of the service server opening method.

A computer arrangement comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of the service server opening method.

According to the service server opening method, the service server opening device, the computer readable storage medium and the computer equipment, the estimated opening time can be determined according to the user quantity change trend index of the opened service server and the pre-configured user quantity threshold value. And when the time length from the current time to the estimated opening time is less than or equal to the preset preparation time length, configuring a service server to be opened. Therefore, according to the user quantity change trend index of the opened service server, the opening time of the service server is estimated in advance, a sufficient service server to be opened can be prepared in advance, and the condition that the response is not timely due to sudden increase of the user quantity is avoided. Different user-defined open conditions can be configured according to different service requirements, the method can be flexibly applied to various services, and the application range is greatly expanded. And by regularly inquiring the current user quantity of the opened service server, the service server to be opened can be automatically opened in advance when the current user quantity meets the corresponding custom opening condition determined according to the user quantity threshold. Therefore, the service server to be opened is automatically opened in advance by using the current user quantity of the opened service server without manually and regularly opening the service server, the timeliness of opening the service server is guaranteed, and the problem of delay in opening the service server can be avoided even under the condition that the user quantity is increased rapidly.

Drawings

FIG. 1 is a diagram of an application environment of an open method for a service server in one embodiment;

fig. 2 is a schematic flow chart of an opening method of a service server in an embodiment;

FIG. 3 is a diagram illustrating a display result interface for predicting user volume based on historical user volume and corresponding historical time in one embodiment;

FIG. 4 is an interface diagram of an open configuration page in one embodiment;

FIG. 5 is a flowchart illustrating the steps of the open condition judgment in one embodiment;

FIG. 6 is a flowchart illustrating steps of performing a recommendation operation on a corresponding open service server in one embodiment;

FIG. 7 is a flowchart illustrating a step of performing a recommendation operation on a corresponding opened service server when a current user amount satisfies a service recommendation condition determined according to a user amount recommendation threshold in one embodiment;

fig. 8 is a flowchart illustrating steps of performing a recommendation operation on an opened service server meeting a predefined recommendation condition when an opened service server not recorded in a blacklist meets the predefined recommendation condition in one embodiment;

FIG. 9 is an interface diagram of a recommend configure page in one embodiment;

FIG. 10 is a flowchart illustrating the steps of determining recommendation conditions in one embodiment;

fig. 11 is a flowchart illustrating a method for opening a service server in another embodiment;

fig. 12 is a flowchart illustrating a method for opening a service server in one embodiment;

FIG. 13 is a flowchart illustrating steps for recommending a service server in one embodiment;

fig. 14 is a block diagram showing the construction of an open service server apparatus according to an embodiment;

fig. 15 is a block diagram showing the construction of an open service server apparatus according to another embodiment;

fig. 16 is a block diagram showing the construction of an open service server apparatus according to an embodiment;

FIG. 17 is a block diagram showing the structure of a computer device in one embodiment;

fig. 18 is a block diagram showing a configuration of a computer device in another embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

Fig. 1 is an application environment diagram of a service server opening method in an embodiment. Referring to fig. 1, the service server opening method is applied to a service server opening system. The service server open system includes a terminal 110, a server 120, and a service server 130. The terminal 110 includes a first terminal 111 and a second terminal 112, the first terminal 111 may provide an open configuration page and/or a recommended configuration page, a service client is run on the second terminal 112, and a user may access the service server 130 through the service client run on the second terminal. The first terminal 111 and the server 120 are connected through a network, the server 120 and the service server 130 are connected through a network, and the second terminal 112 and the service server 130 are connected through a network. The terminal 110 may specifically be a desktop terminal or a mobile terminal, and the mobile terminal may specifically be at least one of a mobile phone, a tablet computer, a notebook computer, and the like. The server 120 may be implemented as a stand-alone server or a server cluster composed of a plurality of servers. The service server 130 may be implemented as a stand-alone server or a server cluster composed of a plurality of servers.

As shown in fig. 2, in one embodiment, a service server opening method is provided. The embodiment is mainly illustrated by applying the method to the server 120 in fig. 1. Referring to fig. 2, the method for opening the service server specifically includes the following steps:

s202, obtaining the user quantity change trend index of the opened service server.

The service server is a server supporting normal operation of services, and can provide various service resources and store service data of users. The opened service server is a service server in an accessible mode, and a user can access the opened service server through a service client operating in a terminal. The service server, such as a game server, when the user runs the game client on the second terminal, the user can access the resources provided in the opened game server, and the opened game server can also store the data generated when the second terminal runs the game client.

The user quantity is the number of users using the service, and specifically may be the service registration user quantity or the simultaneous online user quantity. The service registration is a process that a user logs in a service client running on the second terminal and registers user account information in a service server. The service registered user amount is the number of users registered for the service. The number of simultaneous online users is the number of users simultaneously logging in the service client. The user amount change tendency index is an index expressing a user amount change tendency, such as a functional relationship of a change of the user amount with time or a user amount change rate.

In one embodiment, the related data of the opened service server, such as the historical user amount and the corresponding historical time, are stored in the database. The addresses stored in the related data of different opened service servers can be encapsulated layer by layer according to the sequence of the database type, the database address, the database name, the table name and the field name to generate a uniform data query interface.

In one embodiment, the server may obtain a data query address, and access the database according to the data query address to obtain the historical user amount and the corresponding historical time of the corresponding opened service server. And the server determines the user quantity change trend index of the opened service server according to the historical user quantity of the opened service server and the corresponding historical time.

In one embodiment, the server may access the database according to the data query address to obtain the historical user amount and the corresponding historical time of the newly opened service server. For example, the service registered user amount of the service server is updated once per minute, and the server may obtain the historical user amount and the corresponding historical time within 24 hours of the history of the newly opened service server, that is, 1440 historical service registered user amounts and corresponding historical times. And the server calculates the user quantity change trend index of the newly opened service server according to the historical user quantity of the newly opened service server and the corresponding historical time.

In one embodiment, the server may access the database according to the data query address, and obtain the historical user amount and the corresponding historical time of the multiple opened service servers through different table names or field names and the like. The server can comprehensively calculate the user quantity change trend index according to the historical user quantity of the plurality of opened service servers and the corresponding historical time.

For example, the server may obtain the historical simultaneous online user amounts and the corresponding historical times of the multiple open service servers, calculate an average value of the historical simultaneous online user amounts corresponding to the same historical time, use the average value as the historical simultaneous online user amount corresponding to the historical time, and then calculate the user amount change trend index.

S204, determining the estimated opening time according to the user quantity change trend index and the pre-configured user quantity threshold value.

And when the user quantity of the opened service server is the user quantity threshold, the server opens the service server to be opened. The user quantity threshold may be a traffic registered user quantity threshold or a simultaneous online user quantity threshold. The estimated opening time is the time for opening the service server to be opened estimated according to the user variation trend index.

Specifically, after acquiring the user quantity change trend index of the opened service server, the service determines the time corresponding to the user quantity threshold according to the preconfigured user quantity threshold, and the determined time can be used as the estimated opening time of the service server to be opened. That is, when the current time is the estimated opening time, the current user quantity of the opened service server can be estimated to be the user quantity threshold according to the user quantity variation trend index, and at this time, the service server to be opened needs to be opened.

In one embodiment, when the user volume change trend indicator is a service registered user volume change trend indicator, the corresponding preconfigured user volume threshold is a service registered user volume threshold. And when the user quantity change trend index is the simultaneous online user quantity change trend index, the corresponding preconfigured user quantity threshold is the simultaneous online user quantity threshold.

S206, when the time length from the current time to the estimated opening time is less than or equal to the preset preparation time length, the service server to be opened is configured.

Specifically, the server may obtain the current time, and configure the to-be-opened service server when the duration from the current time to the estimated opening time is less than or equal to the preset preparation duration. Configuring a service server to be opened is to construct a new service server, and specifically, a large area corresponding to the service server, a number for the service server, resources and interfaces of the service server, and the like can be configured.

In one embodiment, after obtaining the current time, the server compares the time difference between the estimated opening time and the current time, and when the duration of the time difference between the estimated opening time and the current time is less than or equal to the preset preparation duration, the server may perform an operation of configuring a service server to be opened.

In one embodiment, after the server obtains the current time, a preset preparation time length is added on the basis of the current time to obtain the current preparation time. And comparing the current preparation time with the estimated opening time, and when the current preparation time is greater than or equal to the estimated opening time, the server can execute the operation of configuring the service server to be opened.

In one embodiment, the server may subtract the preset preparation time length from the estimated open time to obtain the estimated current time. After obtaining the current time, the server can compare the current time with the size of the estimated current time, and when the current time is greater than or equal to the estimated current time, the server can execute the operation of configuring the service server to be opened.

And S208, periodically inquiring the current user quantity of the opened service server.

Specifically, the server may preset a query period or frequency, for example, query once every minute or hour, and the server may periodically access the database according to the data query address and the preset period or frequency, so as to query the current user amount of the opened service server.

In one embodiment, the server may pre-configure the query period or frequency in a manner of crontab command (a program instruction) configuration, or setting a timer, etc., to support the execution time and frequency of the opening policy of the user-defined opening condition.

In one embodiment, the server may access the database according to the data query address to obtain the current user amount of the newly opened service server. In another embodiment, the server may access the database according to the data query address, obtain the current user volume of the multiple opened service servers by different table names or field names, and comprehensively calculate the current user volume of the multiple opened service servers to obtain the current user volume that can represent the opened service servers. The calculation method includes, for example, calculating an average value of the current user amounts of the multiple opened service servers, or performing weighted summation on the current user amounts of the multiple opened service servers according to a preset weight value, and then dividing the summed value by the number of the opened service servers.

S210, when the current user amount meets the corresponding user-defined opening condition determined according to the user amount threshold, an opening instruction is triggered; the opening instruction is used for indicating the opening of the service server to be opened.

The user-defined opening condition is an opening condition which can be defined through an opening configuration page and can be different according to different service requirements. The open command is a message command for opening a service server to be opened, and may specifically be a request message, such as an http (Hyper Text Transfer Protocol) request. The opening instruction is used for indicating the opening of the service server to be opened. Opening the service server to be opened sets the service server to be opened in an accessible state, so that a user can directly access the service server through a service client running on a terminal.

In one embodiment, the custom open condition includes an open condition determined by a user amount threshold, for example, the custom open condition includes that the current service registered user amount is greater than or equal to the service registered user amount threshold, or the custom open condition includes that the simultaneous online user amount is greater than or equal to the simultaneous online user amount threshold. When the current user amount meets the corresponding custom opening condition determined according to the user amount threshold, the server can trigger an opening instruction.

In an embodiment, the custom open condition may further include a reminding condition determined by a user quantity reminding threshold, for example, when the current service registered user quantity is greater than or equal to the service registered user quantity reminding threshold, or the custom open condition includes that the simultaneous online user quantity is greater than or equal to the simultaneous online user quantity reminding threshold, the server may trigger a reminding instruction to notify relevant staff by a mail or a short message.

In one embodiment, the custom open condition may include a combination of multiple policies, such as policy 1: the current service registered user quantity is larger than or equal to the threshold value of the service registered user quantity; strategy 2: the amount of simultaneous online users is greater than or equal to the threshold amount of simultaneous online users. The multiple strategies can be subjected to AND logic operation or OR logic operation to obtain the user-defined open condition.

In one embodiment, when the customized opening condition requires a plurality of policies for and logic operation, the corresponding customized opening condition determined according to the user quantity threshold is satisfied when the current user quantity respectively satisfies the corresponding policies at the same time. At this point, the server may trigger an open command.

In one embodiment, when the custom opening condition requires a plurality of strategies to perform an or logic operation, the corresponding custom opening condition determined according to the user quantity threshold can be satisfied when the current user quantity only satisfies one of the strategies. At this point, the server may trigger an open command.

In an embodiment, the server may obtain a preconfigured service server open API (Application Programming Interface) address, and when the current user volume meets a corresponding custom open condition determined according to a user volume threshold, the server may send an open service server request according to the preconfigured service server open API address, where the open service server request is used to indicate that a service server to be opened is opened.

In one embodiment, a service server opening tool runs on the service server to be opened, and the service server opening tool may correspond to the service server opening API address. And when the current user quantity meets the corresponding user-defined opening condition determined according to the user quantity threshold value, the server can send an http request carrying an opening instruction to the service server opening tool according to the service server opening API address. The service server opening tool may specifically be a program application running on the service server. And after the service server opening tool receives the http request, opening the service server to be opened. Opening the service server to be opened, such as initializing the service server to be opened, opening a port, or notifying a related system to update the state of the service server.

The service server opening method can determine the estimated opening time according to the user quantity change trend index of the opened service server and the pre-configured user quantity threshold. And when the time length from the current time to the estimated opening time is less than or equal to the preset preparation time length, configuring a service server to be opened. Therefore, according to the user quantity change trend index of the opened service server, the opening time of the service server is estimated in advance, a sufficient service server to be opened can be prepared in advance, and the condition that the response is not timely due to sudden increase of the user quantity is avoided. Different user-defined open conditions can be configured according to different service requirements, the method can be flexibly applied to various services, and the application range is greatly expanded. And by regularly inquiring the current user quantity of the opened service server, the service server to be opened can be automatically opened in advance when the current user quantity meets the corresponding custom opening condition determined according to the user quantity threshold. Therefore, the service server to be opened is automatically opened in advance by using the current user quantity of the opened service server without manually and regularly opening the service server, the timeliness of opening the service server is guaranteed, and the problem of delay in opening the service server can be avoided even under the condition that the user quantity is increased rapidly.

In one embodiment, step S202 includes querying a historical amount of users who have opened the service server and a corresponding historical time; and determining the user quantity change trend index of the opened service server according to the historical user quantity and the corresponding historical time.

Specifically, the server may access the database according to the data query address to obtain the historical user amount and the corresponding historical time of the corresponding opened service server. And determining the user quantity change trend index of the opened service server according to the historical user quantity of the opened service server and the corresponding historical time.

In one embodiment, the server may obtain a historical amount of users and corresponding historical time for the newly opened service server. In one embodiment, the server may obtain historical user amounts and corresponding historical times of the plurality of opened service servers, and comprehensively calculate the historical user amounts and the corresponding historical times according to the historical user amounts and the corresponding historical times of the plurality of opened service servers.

In one embodiment, the server may perform data fitting on the historical user amount and the corresponding historical time to generate a functional relationship of the user amount changing with time. By this functional relationship, the amount of users corresponding to time can be determined from time.

In one embodiment, the server may determine the user volume change rate at the current time according to the change of the historical user volume. The user amount change rate may be a user amount increase rate or a user amount decrease rate. The server can determine the user quantity at a certain future time according to the user quantity change rate at the current time and the user quantity at the current time.

In one embodiment, the server may determine a current amount of users and a current time, a certain historical time and a corresponding historical amount of users. The server may calculate a user amount change rate by dividing a difference between the current user amount and the historical user amount by a quotient of a difference between the current time and the historical time.

In one embodiment, the server may obtain a plurality of historical times at time differences and a plurality of historical user amounts corresponding to the plurality of historical time differences. And calculating a plurality of groups of historical user quantity change rates, and taking the average value of the plurality of groups of historical user quantity change rates as the user quantity change rate to predict the user quantity change.

In the above embodiment, the user volume change trend index of the opened service server may be determined according to the historical user volume and the corresponding historical time, so that the user volume change trend index may be determined through the historical data, and the user volume at the future time may be accurately predicted.

In one embodiment, the step of determining the user volume change trend indicator of the opened service server according to the historical user volume and the corresponding historical time comprises: and performing data fitting according to the historical user quantity and corresponding historical time to generate a function relation of the user quantity changing along with time. The step of determining the estimated opening time according to the user quantity change trend index and the pre-configured user quantity threshold value comprises the following steps: and according to the function relation of the user quantity changing along with time, taking the corresponding time when the user measures the pre-configured user quantity threshold as the estimated opening time.

Specifically, the server may perform data fitting according to the historical user amount and corresponding historical time, and generate a functional relationship in which the user amount changes with time. For example, the server generates a function relationship of the user quantity changing along with time by adopting an autoregressive model method according to the historical user quantity and corresponding historical time. And according to the function relation of the user quantity changing along with time, taking the corresponding time when the user measures the pre-configured user quantity threshold as the estimated opening time.

The autoregressive model method is a linear prediction method and mainly processes data with time series. The main idea of the autoregressive module method is that historical data of N points are known, and a plurality of data points behind the Nth point are predicted through an autoregressive model. The autoregressive model can be represented by the following formula:

wherein c is a constant term,. epsilon_tIs a random error value with a mean of 0, a standard deviation of σ, σ is assumed to be constant at any time,

is the autocorrelation coefficient. The textual description of this formula is: the current value of X is equal to a linear combination of one or more historical time-of-day values plus a constant term and a random error.

In the above embodiment, a functional relationship of the user amount changing with time may be generated according to the historical user amount and the corresponding historical time, and the corresponding time when the user amount takes the preconfigured user amount threshold value as the estimated opening time according to the functional relationship, so that the estimated opening time may be calculated quickly and accurately through the functional relationship of the user amount changing with time.

In one embodiment, the step of determining the user volume change trend indicator of the opened service server according to the historical user volume and the corresponding historical time comprises: and determining the user quantity growth rate according to the current user quantity, the historical user quantity, the current time and the historical time. The step of determining the estimated opening time according to the user quantity change trend index and the pre-configured user quantity threshold value comprises the following steps: calculating a ratio of a difference between a preconfigured user quantity threshold and a current user quantity to a user quantity increase rate; and taking the sum of the calculated ratio and the current time as the estimated opening time.

Specifically, the server may determine a current user amount and a current time, a certain historical time and a corresponding historical user amount. The server may divide a difference of the current user amount minus the historical user amount by a quotient of a difference of the current time minus the historical time as the user amount increase rate. And then calculating the difference between the pre-configured user quantity threshold and the current user quantity and the ratio of the user quantity growth rate, and taking the sum of the calculated ratio and the current time as the estimated opening time.

For example, when the user amount is the amount of simultaneous online users, the increase rate of the amount of simultaneous online users can be calculated by the following formula:

where Δ A represents the user traffic increase rate at the current time, PCU_cPCU representing the amount of simultaneous online users at the current time_c-1Represents the historical amount of simultaneous online users of the previous cycle, T_cIndicating the current time, T_c-1Representing the historical time of the previous week. Calculating the opened business service through the user quantity increase rate delta A at the current timeThe time for the amount of simultaneous online users to reach the pre-configured threshold amount of simultaneous online users may be calculated using the following formula:

wherein, T_oIndicating estimated open time, PCU_sRepresenting a pre-configured simultaneous online user volume threshold.

In the above embodiment, the user volume increase rate may be determined according to the current user volume, the historical user volume, the current time, and the historical time, the preconfigured user volume threshold and the ratio of the difference between the current user volume and the user volume increase rate may be calculated, and the sum of the calculated ratio and the current time may be used as the estimated open time. Therefore, the estimated opening time can be quickly and accurately calculated through the user quantity increase rate.

FIG. 3 is a diagram illustrating a display result interface for predicting a user volume based on a historical user volume and a corresponding historical time in one embodiment. As shown in fig. 3, the left table registers aggregate forecasts for the aqq platform, where aqq is traffic class. aqq the shorter gray curve in the platform registration total prediction table represents the historical service registered user amount and the longer black curve represents the predicted service registered user amount. According to a longer black curve, namely a function relation of the service registered user quantity changing along with time, the service registered user quantity after 1 hour can be predicted, and a prediction increment in a lower table is calculated. And calculating the required quantity of the opened large areas according to the residual capacity of the opened large areas. The table on the right is the aqq platform PCU curve, representing the historical simultaneous online user volume. Among them, PCU is the number of persons who are online at the same time. aqq in the PCU curve, the server can calculate the rate of increase of the simultaneous online user amount, i.e. the current acceleration, according to the historical simultaneous online user amount, and then directly calculate the time required for the simultaneous online user amount to increase to the threshold value of the simultaneous online user amount, which is shown in the table below fig. 3.

In one embodiment, when the service is stably operated, the variation trend of the service registered user quantity is relatively stable, and the service registered user quantity in a longer time period, such as 12 hours in the future, can be predicted by using an autoregressive model. However, the amount of simultaneous online users often varies greatly in a short time, and the use of an autoregressive model is often inaccurate, so that a growth rate algorithm can be selected to calculate the increment of the amount of simultaneous online users in a short time, for example, in one hour.

In an embodiment, the service server opening method further includes a step of acquiring a data query address and a custom opening condition parameter which are correspondingly entered in the opening configuration page, where the custom opening condition parameter includes a user amount threshold. The step of periodically inquiring the current user quantity of the opened service server comprises the following steps: and according to the data query address, regularly querying the current user quantity of the opened service server.

Specifically, the server may obtain a data query address and a custom open condition parameter that are correspondingly entered in the open configuration page. The user-defined open condition parameters comprise user quantity threshold values. For example, when the custom open condition includes that the current service registered user amount is greater than or equal to the service registered user amount threshold, the custom open condition parameter includes the service registered user amount threshold. Alternatively, when the custom open condition includes that the number of simultaneous online users is greater than or equal to the threshold number of simultaneous online users, the custom open condition parameter includes the threshold number of simultaneous online users. The server can inquire the current user quantity of the opened service server periodically according to the acquired data inquiry address.

In one embodiment, the custom open condition may include a combination of multiple policies, such as policy 1: the current service registered user quantity is larger than or equal to the threshold value of the service registered user quantity; strategy 2: the amount of simultaneous online users is greater than or equal to the threshold amount of simultaneous online users. The multiple strategies can be subjected to AND logic operation or OR logic operation to obtain the user-defined open condition. The customized open condition parameters at this time include service registered user quantity thresholds and simultaneous online user quantity thresholds corresponding to policy 1 and policy 2, respectively.

In one embodiment, the server may provide an open configuration page, and obtain a data query address and a custom open condition parameter that are correspondingly entered by a user in the open configuration page. In one embodiment, the first terminal may provide an open configuration page. The first terminal may be a terminal used by a service operator. And the first terminal accesses the open configuration page to acquire the data query address and the user-defined open condition parameters which are input in the open configuration page. And the first terminal sends the recorded data query address and the user-defined open condition parameters to the server.

In the embodiment, the user-defined open configuration conditions and the data query addresses of different service servers can be flexibly set through the open configuration page, the data query addresses can be connected to different service servers in an abutting mode, and the open command is triggered when the current user quantity meets the corresponding user-defined open conditions determined according to the user quantity threshold value, so that the service server opening method is applicable to various services, is flexible and convenient, and greatly expands the application range.

In one embodiment, when the current user amount meets the corresponding custom opening condition determined by the user amount threshold, the step of triggering the opening instruction includes: acquiring a service server attribute corresponding to a predefined opening condition; and triggering an opening instruction when the service server attribute meets the corresponding predefined opening condition and the current user quantity meets the corresponding user-defined opening condition determined according to the user quantity threshold.

The service server attribute is information related to the service server, such as a status of the service server or a number of the service server. The state of the service server, for example, whether the service server is in a locked state or not, or whether the service server is in an open state or not, is described. The predefined open condition is an open condition preset by the server.

Specifically, the server may query a service server attribute corresponding to the predefined opening condition according to the data query address, and trigger the opening instruction when the service server attribute satisfies the corresponding predefined opening condition and the current user amount satisfies the corresponding custom opening condition determined according to the user amount threshold.

In one embodiment, the predefined open conditions include at least one of: the method comprises the steps that a task in-process state or a task failure state for executing a business server opening task does not exist at present; or the number of the open service servers in the preset time length is less than or equal to the preset number; or, the current service server to be opened is not opened; or, the number of the current service server to be opened is increased compared with the number of the service server opened last time. Therefore, the strategy judgment can be carried out through the predefined opening condition of various strategy combinations, and the condition of mistakenly opening the service server is avoided.

In one embodiment, when the predefined opening condition includes that there is no task in-progress state or task failure state for executing the service server to open the task currently, if there is a task in-progress state or task failure state for executing the service server to open the task currently, the server locks the opening condition determining step of the service server, and at this time, the system is in a locked state. The service server is terminated when the judgment is opened, and the execution is continued for the next judgment time. If the system is in a locking state, the server judges the locking time, and when the locking time of the system exceeds a set locking threshold, the server triggers an alarm notification action to notify relevant staff of the detection processing in the modes of mails or short messages and the like.

In an embodiment, the server may determine whether the serial number of the current service server to be opened is in a continuously increasing relationship with the serial number of the service server opened last time, if not, an abnormality may exist, and the server may trigger an alarm notification action to notify a relevant worker to perform an inspection process in a manner of mail or short message.

In the above embodiment, when the attribute of the service server meets the corresponding predefined opening condition and the current user amount meets the corresponding user-defined opening condition determined according to the user amount threshold, the opening instruction is triggered to open the service server to be opened.

FIG. 4 illustrates an interface diagram that opens a configuration page in one embodiment. As shown in fig. 4, the open configuration page includes items of "rule name", "large area type", "open policy combination", "policy logic", "whether to audit with WeChat", "whether to enable masking", "open API address", "mask start time", and "mask duration", and each item can be recorded with corresponding configuration data. The large area type is the type of the service server, the opening policy combination is the policy combination opened by the service server, the opening API address is the API address opened by the service server, and the server can send an http request to the service server opening tool through the address. In the "open policy combination", each policy may be entered with a rule name, a database name, a table name, a reminder threshold, and an open threshold. "policy logic" is an "AND" logic or an "OR" logic, where the "AND" logic represents { policy 1} - { policy 2} - # … } and { policy n }; an "or" logic represents { policy 1 }. sup.u { policy 2 }. sup.u.s. … @. The 'whether the WeChat is checked' means whether the WeChat is required to be sent to related personnel through the WeChat when the issuing condition of the service server is met and the service server is opened, and the checking is executed after the checking is passed.

In one embodiment, the server may periodically perform an opening condition determination on the opened service server at a preset frequency, where the opening condition includes a predefined opening condition and a custom opening condition. And each time the automatic judgment strategy is executed, gradually detecting whether each judgment condition is met or not according to the judgment flow. As shown in fig. 5, the partial open condition judgment contents include:

strategy starting judgment: and judging whether the custom-configured open strategy combination is enabled or not.

Judging the shielding time: it is determined whether the policy is initiated within the correct time frame.

Thirdly, system locking judgment: if the current task in-process state or task failure state for executing the service server open task exists, the server locks the strategy judgment of the service server, and the system is in the locking state at the moment. The service server is terminated when the judgment is opened, and the execution is continued for the next judgment time.

Judging a numerical threshold value: the current user amount queried according to the data query address is logically calculated,

and judging whether the service strategy combination is satisfied.

Judging the number of the open service servers within a preset time length: and judging whether the number of the open service servers in the preset time length is less than or equal to the preset number.

Sixthly, repeated opening judgment: and judging whether the current service server to be opened is not opened, and avoiding repeated opening.

And (c) number increasing judgment: and judging whether the serial number of the current service server to be opened is in a continuous increasing relationship with the serial number of the service server opened last time, if the serial number is decreased or the serial number interval is discontinuous, an exception may exist.

The determining step does not limit the execution order. And when the judgment results all meet the conditions, the server sends an http request to the service server opening tool according to the 'opening API address' recorded in the opening configuration page correspondingly. And after receiving the http request, the service server opening tool executes an action of opening the service server. The server updates the state of the service server in the database correspondingly, and at the moment, the service server is updated from the unopened state to the opened state. And stopping the opening condition judgment of the current round when the condition is not met in the judgment step, and executing the opening condition judgment again when waiting for the next period. When the condition that the condition is not met exists in the judging step, whether alarm shielding is carried out or not can be judged, and when the alarm shielding state is not met, an alarm can be triggered.

In one embodiment, the method for opening a service server further includes a step of performing recommendation operation on the corresponding opened service server, where the step specifically includes:

s602, acquiring a data query address and service recommendation condition parameters which are correspondingly configured in a recommendation configuration page; the service recommendation condition parameter includes a user volume recommendation threshold.

Specifically, the server may obtain a data query address and a service recommendation condition parameter which are correspondingly entered in the recommendation configuration page. Wherein the service recommendation condition parameter comprises a user quantity recommendation threshold. For example, when the service recommendation condition includes that the current service registered user amount of the opened service server is less than or equal to the service registered user amount recommendation threshold, the service recommendation condition parameter includes the service registered user amount recommendation threshold. Alternatively, when the service recommendation condition includes that the amount of simultaneous online users of the opened service server is less than or equal to the simultaneous online user amount recommendation threshold, the service recommendation condition parameter includes the simultaneous online user amount recommendation threshold.

In one embodiment, the service recommendation condition may include a combination of multiple policies, such as policy 1: the current service registered user quantity of the opened service server is less than or equal to the service registered user quantity recommendation threshold; strategy 2: the amount of simultaneous online users who have opened the service server is less than or equal to the simultaneous online user amount recommendation threshold. The service recommendation condition can be obtained by performing AND logic operation or OR logic operation on various strategies. The service recommendation condition parameters at this time include service registration user quantity recommendation thresholds and simultaneous online user quantity recommendation thresholds corresponding to the policy 1 and the policy 2, respectively.

In one embodiment, the server may provide a recommended configuration page, and obtain a data query address and service recommendation condition parameters correspondingly entered in the recommended configuration page. In one embodiment, the first terminal may provide a recommended configuration page. The first terminal may be a terminal used by a service operator. And the first terminal accesses the recommended configuration page to obtain the data query address and the service recommendation condition parameters which are input in the recommended configuration page. And the first terminal sends the recorded data query address and the service recommendation condition parameters to the server.

S604, according to the data query address, the current user of the opened service server is queried regularly.

And S606, when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold, performing recommendation operation on the corresponding opened service server.

The recommending operation of the opened service server may specifically be setting a recommending bit for the opened service server, for example, updating the state of the opened service server to a recommended state. Recommended states such as "fire on" state, "hot" state, "recommended" state, and the like. When the server sets the recommendation bit for the opened service server, the service client running in the terminal updates and displays the recommendation state before the identification of each service server.

Specifically, when the current user amount meets the service recommendation condition determined according to the user amount recommendation threshold, the server may set a recommendation bit for the corresponding opened service server, and set the display state of the opened service server of the recommendation bit to the recommendation state.

In the embodiment, the service recommendation conditions and the data query addresses of different service servers can be flexibly set through the recommendation configuration page, the data query addresses can be connected to different service servers in an abutting mode, the recommendation bit is set for the corresponding opened service server when the current user quantity meets the corresponding service recommendation condition determined according to the user quantity recommendation threshold, the recommendation state of the opened service server can be dynamically adjusted according to the current user quantity, and the method is flexible and convenient.

In one embodiment, step S606 includes the steps of:

s702, screening the opened service servers with the opening time in the preset time period and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold value.

In an embodiment, the service recommendation condition parameter further includes a preset time period, and the server may obtain the open time of the opened service server, and determine the opened service server with the open time within the preset time period. And screening the opened service servers of which the current user quantity meets the service recommendation conditions determined according to the user quantity recommendation threshold from the determined opened service servers.

S704, querying the screened opened service server in the preconfigured blacklist.

Specifically, the server may obtain a number or an identifier of an opened service server that is previously entered in a blacklist in the recommended configuration page. The opened service servers entered in the blacklist are not subjected to any operation, including a recommendation operation. The server may match the screened numbers or identifiers of the opened service servers with the numbers or identifiers in the blacklist, and query the opened service servers in the blacklist, thereby determining the opened service servers that are not recorded in the blacklist.

S706, when the opened service server not recorded in the blacklist accords with the predefined recommendation condition, recommending the opened service server which accords with the predefined recommendation condition.

The predefined recommendation condition is a recommendation condition preset by the server, for example, the state of the opened service server is an unrendered state. Specifically, the server may determine whether an opened service server that is not recorded in the blacklist meets a predefined recommendation condition, and perform a recommendation operation on the opened service server that meets the predefined recommendation condition when the opened service server that is not recorded in the blacklist meets the predefined recommendation condition.

In the above embodiment, the selected opened service servers meeting the requirement that the opening time is within the preset time period, the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold, the selected opened service servers are not recorded in the blacklist, and the selected opened service servers meeting the predefined recommendation condition are subjected to recommendation operation, so that the selected opened service servers meeting the actual situation and needing recommendation can be selected through the predefined recommendation condition and the customized recommendation condition.

In one embodiment, step S706 specifically includes the following steps:

s802, sorting the opened service servers which are not recorded in the blacklist according to a preset sorting mode.

Specifically, the server may sort the opened service servers that are not recorded in the blacklist in a preconfigured sorting manner. The pre-configured sorting mode is, for example, sorting in descending order or sorting in ascending order according to the size of the current service registered user amount of the opened service server, and further, sorting in descending order or sorting in ascending order according to the size of the current simultaneous online user amount of the opened service server.

S804, selecting the opened service servers with the quantity less than or equal to the recommended upper limit quantity according to the sorting result.

Specifically, the server may preset a recommended upper limit number, and then select, according to the result of the sorting, an opened service server whose number is less than or equal to the recommended upper limit number. For example, the opened service servers with the small current service registered user quantity and the selected quantity less than or equal to the recommended upper limit quantity are selected, or the opened service servers with the small current simultaneous online user quantity and the selected quantity less than or equal to the recommended upper limit quantity are selected.

And S806, recommending the opened service servers which are not recommended and/or marked as a recommendation canceling state in the selected opened service servers.

Specifically, the server may determine whether the opened service server has performed a recommendation operation or is marked as a recommendation cancellation state. The server can perform recommendation operation on the opened service server which is not subjected to recommendation operation and/or is not marked as a recommendation canceling state in the selected opened service servers.

In the above embodiment, by performing number judgment, recommendation bit judgment and/or recommendation removal judgment on the opened service servers that are not recorded in the blacklist, the opened service servers that are in accordance with actual conditions and need to be recommended can be further screened out.

FIG. 9 illustrates an interface diagram that shows a recommendation configuration page in one embodiment. As shown in fig. 9, the recommended configuration page includes items of "rule name", "large area type", "open day judgment", "open day", "latest open area service selection", "rule selection", "data rule logic", "data rule sorting", "sorting item", "single recommended area service quantity", "policy execution crontab configuration", "association recommendation", "disassociation recommendation", and "recommendation pool blacklist", and each item may be recorded with corresponding configuration data. The 'big zone type' is the type of the service server, 'number of open days judgment' and 'number of open days' are used for screening the open service servers meeting the open time, 'the latest open zone service selection' is the latest open service server selection, 'the rule selection' is the service recommendation condition combination comprising the user quantity recommendation threshold value, 'the policy execution crontab configuration' is the time period or frequency used for configuring the judgment recommendation condition, wherein the judgment condition comprises the service recommendation condition and the predefined recommendation condition. The "association recommendation" is a recommendation request sending API address, and the "disassociation recommendation" is a disassociation request sending API address. The "recommendation pool blacklist" may include an identification of the service server that does not perform any operation.

In "rule selection," each policy may correspond to an entry table name, a field, and a threshold. The "data rule logic" is an "AND" logic or an "OR" logic, where the "AND" logic represents { policy 1}, andgate { policy 2}, andgate … andgate { policy n }; an "or" logic represents { policy 1 }. sup.u { policy 2 }. sup.u.s. … @.

In one embodiment, the server may periodically perform recommendation condition determination on the opened service server according to a preset frequency, where the recommendation condition includes a predefined recommendation condition and a service recommendation condition. And each time the automatic judgment strategy is executed, gradually detecting whether each judgment condition is met or not according to the judgment flow. The server can calculate a recommendation pool, namely a pre-recommended opened service server, through time judgment and numerical threshold judgment. And then, aiming at the opened service servers in the recommendation pool, carrying out blacklist judgment, sorting, recommendation number judgment, recommendation bit judgment and recommendation removal judgment, and further obtaining the opened service servers which actually meet the current round of recommendation. As shown in fig. 10, the partial recommendation condition judgment content includes:

judging time: and screening the opened service servers with the opening time within a preset time range.

Judging a numerical threshold value: and performing logic calculation on the current user quantity of the opened service server inquired according to the data inquiry address, and judging whether the recommended strategy combination is met.

Thirdly, judging the blacklist: and the blacklist sets a service server which does not perform any operation, and if the number or the identifier of the opened service server is in the blacklist, the recommendation is not performed.

Judging the recommended number: and judging whether the number of the opened service servers to be recommended exceeds the upper limit of the number recommended each time.

Judging the recommendation level: and judging the state of the opened service server to be recommended, and if the opened service server is recommended, recommending no more.

Sixthly, recommendation judgment: and judging whether the opened service server to be recommended is marked as a recommendation canceling state or not, and if so, not recommending.

The determining step does not limit the execution order. And when the judgment results all meet the conditions, the server specifically recommends the opened service servers meeting all the judgment conditions, and sets corresponding recommendation bits. When the server executes the recommendation operation, whether a recommendation task is executed or a service server opens a task at the moment needs to be judged, if so, the recommendation is stopped and the next judgment period is waited.

As shown in fig. 11, in a specific embodiment, the service server opening method includes the following steps:

s1102, querying the historical user quantity and the corresponding historical time of the opened service server.

S1104, according to the historical user quantity and the corresponding historical time, determining the user quantity change trend index of the opened service server.

S1106, the estimated opening time is determined according to the user quantity change trend index and the preset user quantity threshold value.

S1108, when the time length from the current time to the estimated opening time is less than or equal to the preset preparation time length, the service server to be opened is configured.

S1110, acquiring a data query address and a user-defined open condition parameter which are correspondingly input in an open configuration page; the custom open condition parameter includes a user volume threshold.

S1112, periodically querying the current user amount of the opened service server according to the data query address.

S1114, obtaining a service server attribute corresponding to the predefined open condition.

S1116, when the service server attribute meets the corresponding predefined opening condition and the current user quantity meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating the opening of the service server to be opened.

S1118, acquiring the data query address and the service recommendation condition parameter configured correspondingly in the recommendation configuration page; the service recommendation condition parameter includes a user volume recommendation threshold.

S1120, screening the opened service servers with the opening time in the preset time period and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold value.

S1122, the screened opened service server is queried in the preconfigured blacklist.

S1124, sorting the opened service servers that are not recorded in the blacklist according to a pre-configured sorting manner.

S1126, selecting the opened service servers with the number less than or equal to the recommended upper limit number according to the sorting result.

S1128, recommending the selected opened service server that is not recommended and/or marked as a recommendation canceling state.

Fig. 11 is a flowchart illustrating a method for opening a service server in an embodiment. It should be understood that, although the steps in the flowchart of fig. 11 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 11 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

Fig. 12 is a flowchart illustrating a method for opening a service server in an embodiment. The embodiment is mainly illustrated by applying the method to the first terminal 111 in fig. 1. Referring to fig. 12, the identifier processing method specifically includes the following steps:

s1202, the open configuration page is accessed.

Specifically, the terminal may access the open configuration page through a web address, and the terminal accessing the open configuration page may be a terminal used by a service operator.

S1204, obtaining the self-defined open condition parameters recorded in the open configuration page; the custom open condition parameter includes a user volume threshold.

Specifically, the terminal may obtain a custom open condition parameter correspondingly entered in the open configuration page. The user-defined open condition parameters comprise user quantity threshold values. For example, when the custom open condition includes that the current service registered user amount is greater than or equal to the service registered user amount threshold, the custom open condition parameter includes the service registered user amount threshold. Alternatively, when the custom open condition includes that the number of simultaneous online users is greater than or equal to the threshold number of simultaneous online users, the custom open condition parameter includes the threshold number of simultaneous online users.

S1206, sending the user-defined open condition parameters to a server; the user-defined opening condition parameter is used for indicating the server to determine the estimated opening time according to the user quantity change trend index and the user quantity threshold of the opened service server; configuring a service server to be opened according to the estimated opening time; when the current user quantity of the opened service server meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating the opening of the service server to be opened.

Specifically, the terminal may send the acquired customized open condition parameter to the server through a communication method such as a network or bluetooth connection. The server determines the estimated opening time according to the user quantity change trend index and the user quantity threshold of the opened service server; configuring a service server to be opened according to the estimated opening time; when the current user quantity of the opened service server meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating the opening of the service server to be opened.

In one embodiment, the service server opening method further includes the step of recommending the service server, the step including:

s1302, accessing a recommended configuration page.

Specifically, the terminal may access the recommended configuration page through a web address, and the terminal accessing the recommended configuration page may be a terminal used by a service operator.

S1304, acquiring a data query address and service recommendation condition parameters which are input in a recommendation configuration page; the service recommendation condition parameter includes a user volume recommendation threshold.

Specifically, the terminal can obtain the data query address and the service recommendation condition parameter which are correspondingly input in the recommendation configuration page. Wherein the service recommendation condition parameter comprises a user quantity recommendation threshold. For example, when the service recommendation condition includes that the current service registered user amount of the opened service server is less than or equal to the service registered user amount recommendation threshold, the service recommendation condition parameter includes the service registered user amount recommendation threshold. Alternatively, when the service recommendation condition includes that the amount of simultaneous online users of the opened service server is less than or equal to the simultaneous online user amount recommendation threshold, the service recommendation condition parameter includes the simultaneous online user amount recommendation threshold.

S1306, sending the service recommendation condition parameters to a server; the service recommendation condition parameter is used for indicating the server to inquire the current user quantity of the opened service server regularly according to the data inquiry address; and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold, performing recommendation operation on the corresponding opened service server.

Specifically, the terminal may send the service recommendation condition parameter to the server through a communication method such as a network or a bluetooth connection. The server inquires the address according to the data, and regularly inquires the current user quantity of the opened service server; and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold, performing recommendation operation on the corresponding opened service server.

In a specific application scenario, an operator can access the open configuration page through a first terminal of the operator, and enter information such as a data query address and a custom open condition parameter in the open configuration page. And the first terminal sends the information input in the open configuration page to the server, and the server acquires the historical user quantity and the current user quantity of the opened game server according to the data query address. The server determines the estimated opening time according to the historical user amount and a preset user amount threshold value, and configures the game server to be opened in advance when the time from the current time to the estimated opening time is less than or equal to the preset preparation time. The server periodically executes the judgment of the opening conditions including self-definition and predefining, and opens the game server to be opened prepared in the early stage to the outside when the judgment results all meet the conditions. At this time, when the user logs in the game client through the second terminal, the game client displays the newly opened game server identifier, and the user can access the opened game server through the second terminal.

An operator can access the recommendation configuration page through a first terminal of the operator, and information such as a data query address and service recommendation condition parameters is input into the recommendation configuration page. And the first terminal sends the information input in the recommended configuration page to the server, and the server periodically inquires the current user amount of the newly opened game server according to the data inquiry address. The server periodically executes the judgment of the service recommendation condition and the predefined recommendation condition, and sets a recommendation bit for the opened game server meeting the condition when the judgment result meets the condition. At this time, when the user logs in the game client through the second terminal, the game client displays that the recommended state of the game server is updated to a recommended state, such as a "fire explosion" state or a "hot" state.

As shown in fig. 14, in one embodiment, there is provided a service server opening apparatus 1400 including: an acquisition module 1401, a determination module 1402, a configuration module 1403, a query module 1404, and a trigger module 1405.

An obtaining module 1401, configured to obtain a user quantity change trend index of an opened service server.

The determining module 1402 is configured to determine the estimated opening time according to the user quantity variation trend index and the preconfigured user quantity threshold.

A configuration module 1403, configured to configure the service server to be opened when the duration from the current time to the estimated opening time is less than or equal to the preset preparation duration.

And an inquiring module 1404, configured to periodically inquire the current user amount of the opened service server.

A triggering module 1405, configured to trigger an open instruction when the current user amount meets a corresponding custom open condition determined according to the user amount threshold; the opening instruction is used for indicating the opening of the service server to be opened.

The service server opening device can determine the estimated opening time according to the user quantity change trend index of the opened service server and the pre-configured user quantity threshold. And when the time length from the current time to the estimated opening time is less than or equal to the preset preparation time length, configuring a service server to be opened. Therefore, according to the user quantity change trend index of the opened service server, the opening time of the service server is estimated in advance, a sufficient service server to be opened can be prepared in advance, and the condition that the response is not timely due to sudden increase of the user quantity is avoided. Different user-defined open conditions can be configured according to different service requirements, the method can be flexibly applied to various services, and the application range is greatly expanded. And by regularly inquiring the current user quantity of the opened service server, the service server to be opened can be automatically opened in advance when the current user quantity meets the corresponding custom opening condition determined according to the user quantity threshold. Therefore, the service server to be opened is automatically opened in advance by using the current user quantity of the opened service server without manually and regularly opening the service server, the timeliness of opening the service server is guaranteed, and the problem of delay in opening the service server can be avoided even under the condition that the user quantity is increased rapidly.

In one embodiment, the obtaining module 1401 is further configured to query the historical user amount and the corresponding historical time of the opened service server; and determining the user quantity change trend index of the opened service server according to the historical user quantity and the corresponding historical time.

In one embodiment, the determining module 1402 is further configured to perform data fitting according to the historical user amount and corresponding historical time, and generate a function relationship of the user amount changing with time; and according to the function relation of the user quantity changing along with time, taking the corresponding time when the user measures the pre-configured user quantity threshold as the estimated opening time.

In one embodiment, the determining module 1402 is further configured to determine a user amount increase rate according to the current user amount, the historical user amount, the current time, and the historical time; calculating a ratio of a difference between a preconfigured user quantity threshold and a current user quantity to a user quantity increase rate; and taking the sum of the calculated ratio and the current time as the estimated opening time.

In one embodiment, the obtaining module 1401 is further configured to obtain a data query address and a custom open condition parameter, which are correspondingly entered in the open configuration page; the custom open condition parameter includes a user volume threshold. The query module 1404 is further configured to query the current user amount of the opened service servers periodically according to the data query address.

In one embodiment, the triggering module 1405 is further configured to obtain a service server attribute corresponding to a predefined open condition; and triggering an opening instruction when the service server attribute meets the corresponding predefined opening condition and the current user quantity meets the corresponding user-defined opening condition determined according to the user quantity threshold.

In one embodiment, the predefined open conditions include at least one of: the method comprises the steps that a task in-process state or a task failure state for executing a business server opening task does not exist at present; or the number of the open service servers in the preset time length is less than or equal to the preset number; or, the current service server to be opened is not opened; or, the number of the current service server to be opened is increased compared with the number of the service server opened last time.

In the embodiment, the policy judgment can be performed through the predefined opening condition of the combination of the multiple policies, so that the condition that the service server is opened by mistake is avoided.

As shown in fig. 15, in one embodiment, the service server opening apparatus 1400 further includes a recommendation module 1406.

The obtaining module 1401 is further configured to obtain a data query address and a service recommendation condition parameter, which are configured correspondingly in the recommendation configuration page; the service recommendation condition parameter includes a user volume recommendation threshold.

The query module 1404 is further configured to query the current user amount of the opened service servers periodically according to the data query address.

And the recommending module 1406 is configured to perform recommending operation on the corresponding opened service server when the current user quantity meets the service recommending condition determined according to the user quantity recommending threshold.

In one embodiment, the recommending module 1406 is further configured to filter the opened service servers whose opening time is within a preset time period and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold; inquiring the screened opened service server in a pre-configured blacklist; and when the opened service server which is not recorded in the blacklist accords with the predefined recommendation condition, recommending the opened service server which accords with the predefined recommendation condition.

In one embodiment, the recommending module 1406 is further configured to sort the opened service servers that are not recorded in the blacklist in a preconfigured sorting manner; selecting the opened service servers of which the number is less than or equal to the recommended upper limit number according to the sequencing result; and performing recommendation operation on the opened service server which is not subjected to recommendation operation and/or is not marked as a recommendation canceling state in the selected opened service servers.

As shown in fig. 16, in one embodiment, there is provided a service server opening apparatus 1600, including: an accessing module 1601, an obtaining module 1602, and a sending module 1603.

An accessing module 1601 is configured to access an open configuration page.

An obtaining module 1602, configured to obtain a custom open condition parameter entered in an open configuration page; the user-defined open condition parameters comprise a user quantity threshold;

a sending module 1603, configured to send the custom open condition parameter to the server; the user-defined opening condition parameter is used for indicating the server to determine the estimated opening time according to the user quantity change trend index and the user quantity threshold of the opened service server; configuring a service server to be opened according to the estimated opening time; when the current user quantity of the opened service server meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating the opening of the service server to be opened.

In one embodiment, the accessing module 1601 is further configured to access a recommended configuration page. The obtaining module 1602 is further configured to obtain a data query address and a service recommendation condition parameter that are entered in the recommendation configuration page; the service recommendation condition parameter includes a user volume recommendation threshold. The sending module 1603 is further configured to send the service recommendation condition parameters to the server; the service recommendation condition parameter is used for indicating the server to inquire the current user quantity of the opened service server regularly according to the data inquiry address; and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold, performing recommendation operation on the corresponding opened service server.

FIG. 17 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be the server 120 in fig. 1. As shown in fig. 17, the computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may further store a computer program, and the computer program, when executed by the processor, may cause the processor to implement the service server opening method. The internal memory may also have a computer program stored therein, which when executed by the processor, causes the processor to perform the service server opening method.

FIG. 18 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be the terminal 110 in fig. 1. As shown in fig. 18, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected through a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may further store a computer program, and the computer program, when executed by the processor, may cause the processor to implement the service server opening method. The internal memory may also have a computer program stored therein, which when executed by the processor, causes the processor to perform the service server opening method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

It will be appreciated by those skilled in the art that the configurations shown in fig. 17 and 18 are block diagrams of only some of the configurations relevant to the present application, and do not constitute a limitation on the computing devices to which the present application may be applied, and a particular computing device may include more or less components than those shown, or some of the components may be combined, or have a different arrangement of components.

In one embodiment, the service server opening apparatus provided in the present application may be implemented in the form of a computer program, and the computer program may be run on a computer device as shown in fig. 17. The memory of the computer device may store various program modules constituting the service server opening apparatus, such as the obtaining module, the determining module, the configuring module, the querying module, and the triggering module shown in fig. 17. The computer program formed by the program modules enables the processor to execute the steps in the service server opening method of the embodiments of the present application described in the present specification.

For example, the computer device shown in fig. 17 may execute step S202 through the acquisition module in the service server opening apparatus shown in fig. 14. The computer device may perform step S204 by the determination module. The computer device may perform step S206 by the configuration module. The computer device may perform step S208 through the query module. The computer device may perform step S210 through the trigger module.

In one embodiment, the service server opening apparatus provided in the present application may be implemented in the form of a computer program, and the computer program may be run on a computer device as shown in fig. 18. The memory of the computer device may store various program modules constituting the service server opening apparatus, such as the access module, the acquisition module, and the transmission module shown in fig. 18. The computer program formed by the program modules enables the processor to execute the steps in the service server opening method of the embodiments of the present application described in the present specification.

For example, the computer apparatus shown in fig. 18 may perform step S1202 by the access module in the service server opening apparatus shown in fig. 16. The computer device may perform step S1204 by the obtaining module. The computer device may perform step S1206 through the transmission module.

In one embodiment, there is provided a computer device comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of: acquiring a user quantity change trend index of an opened service server; determining the estimated opening time according to the user quantity change trend index and the pre-configured user quantity threshold; when the time length from the current time to the estimated opening time is less than or equal to the preset preparation time length, configuring a service server to be opened; the current user quantity of the opened service server is inquired periodically; when the current user quantity meets the corresponding user-defined opening condition determined according to the user quantity threshold value, an opening instruction is triggered; the opening instruction is used for indicating the opening of the service server to be opened.

In one embodiment, the computer program causes the processor to specifically perform the following steps when performing the step of obtaining the user volume change trend indicator of the opened service server: inquiring the historical user quantity and the corresponding historical time of the opened service server; and determining the user quantity change trend index of the opened service server according to the historical user quantity and the corresponding historical time.

In one embodiment, the computer program causes the processor to perform the following steps in particular when performing the step of determining the user volume change trend indicator of an opened service server based on historical user volumes and corresponding historical times: and performing data fitting according to the historical user quantity and corresponding historical time to generate a function relation of the user quantity changing along with time. The computer program causes the processor to specifically perform the following steps when performing the step of determining the estimated opening time according to the user volume variation trend index and the preconfigured user volume threshold: and according to the function relation of the user quantity changing along with time, taking the corresponding time when the user measures the pre-configured user quantity threshold as the estimated opening time.

In one embodiment, the computer program causes the processor to perform the following steps in particular when performing the step of determining the user volume change trend indicator of an opened service server based on historical user volumes and corresponding historical times: and determining the user quantity growth rate according to the current user quantity, the historical user quantity, the current time and the historical time. The computer program causes the processor to specifically perform the following steps when performing the step of determining the estimated opening time according to the user volume variation trend index and the preconfigured user volume threshold: calculating a ratio of a difference between a preconfigured user quantity threshold and a current user quantity to a user quantity increase rate; and taking the sum of the calculated ratio and the current time as the estimated opening time.

In one embodiment, the computer program causes the processor to perform the further steps of: acquiring a data query address and a user-defined open condition parameter which are correspondingly input in an open configuration page; the custom open condition parameter includes a user volume threshold. The computer program causes the processor to specifically perform the following steps when performing the step of periodically querying the current user amount of the opened service server: and according to the data query address, regularly querying the current user quantity of the opened service server.

In one embodiment, the computer program causes the processor to specifically perform the following steps when executing the step of triggering the open instruction when the current user volume meets the corresponding custom open condition determined by the user volume threshold: acquiring a service server attribute corresponding to a predefined opening condition; and triggering an opening instruction when the service server attribute meets the corresponding predefined opening condition and the current user quantity meets the corresponding user-defined opening condition determined according to the user quantity threshold.

In one embodiment, the computer program causes the processor to perform the further steps of: acquiring a data query address and service recommendation condition parameters which are correspondingly configured in a recommendation configuration page; the service recommendation condition parameters comprise user quantity recommendation threshold values; according to the data query address, regularly querying the current user quantity of the opened service server; and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold, performing recommendation operation on the corresponding opened service server.

In one embodiment, the computer program causes the processor to specifically execute the following steps when executing the step of performing the recommendation operation on the corresponding opened service server when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold: screening the opened service servers with the opening time within a preset time period and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold; inquiring the screened opened service server in a pre-configured blacklist; and when the opened service server which is not recorded in the blacklist accords with the predefined recommendation condition, recommending the opened service server which accords with the predefined recommendation condition.

In one embodiment, the computer program causes the processor to specifically perform the following steps when executing the step of recommending, when an opened service server not recorded in the blacklist meets a predefined recommendation condition, the opened service server meeting the predefined recommendation condition: sequencing the opened service servers which are not recorded in the blacklist according to a preset sequencing mode; selecting the opened service servers of which the number is less than or equal to the recommended upper limit number according to the sequencing result; and performing recommendation operation on the opened service server which is not subjected to recommendation operation and/or is not marked as a recommendation canceling state in the selected opened service servers.

The computer equipment can determine the estimated opening time according to the user quantity change trend index of the opened service server and the pre-configured user quantity threshold. And when the time length from the current time to the estimated opening time is less than or equal to the preset preparation time length, configuring a service server to be opened. Therefore, according to the user quantity change trend index of the opened service server, the opening time of the service server is estimated in advance, a sufficient service server to be opened can be prepared in advance, and the condition that the response is not timely due to sudden increase of the user quantity is avoided. Different user-defined open conditions can be configured according to different service requirements, the method can be flexibly applied to various services, and the application range is greatly expanded. And by regularly inquiring the current user quantity of the opened service server, the service server to be opened can be automatically opened in advance when the current user quantity meets the corresponding custom opening condition determined according to the user quantity threshold. Therefore, the service server to be opened is automatically opened in advance by using the current user quantity of the opened service server without manually and regularly opening the service server, the timeliness of opening the service server is guaranteed, and the problem of delay in opening the service server can be avoided even under the condition that the user quantity is increased rapidly.

In one embodiment, there is provided a computer device comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of: accessing an open configuration page; acquiring a user-defined open condition parameter recorded in an open configuration page; the user-defined open condition parameters comprise a user quantity threshold; sending the user-defined open condition parameters to a server; the user-defined opening condition parameter is used for indicating the server to determine the estimated opening time according to the user quantity change trend index and the user quantity threshold of the opened service server; configuring a service server to be opened according to the estimated opening time; when the current user quantity of the opened service server meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating the opening of the service server to be opened.

In one embodiment, the computer program causes the processor to perform the further steps of: accessing a recommended configuration page; acquiring a data query address and service recommendation condition parameters which are input in a recommendation configuration page; the service recommendation condition parameters comprise user quantity recommendation threshold values; sending the service recommendation condition parameters to a server; the service recommendation condition parameter is used for indicating the server to inquire the current user quantity of the opened service server regularly according to the data inquiry address; and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold, performing recommendation operation on the corresponding opened service server.

A computer-readable storage medium storing a computer program which, when executed by a processor, performs the steps of: acquiring a user quantity change trend index of an opened service server; determining the estimated opening time according to the user quantity change trend index and the pre-configured user quantity threshold; when the time length from the current time to the estimated opening time is less than or equal to the preset preparation time length, configuring a service server to be opened; the current user quantity of the opened service server is inquired periodically; when the current user quantity meets the corresponding user-defined opening condition determined according to the user quantity threshold value, an opening instruction is triggered; the opening instruction is used for indicating the opening of the service server to be opened.

The computer readable storage medium may determine the estimated open time according to the user amount change trend index of the opened service server and a preconfigured user amount threshold. And when the time length from the current time to the estimated opening time is less than or equal to the preset preparation time length, configuring a service server to be opened. Therefore, according to the user quantity change trend index of the opened service server, the opening time of the service server is estimated in advance, a sufficient service server to be opened can be prepared in advance, and the condition that the response is not timely due to sudden increase of the user quantity is avoided. Different user-defined open conditions can be configured according to different service requirements, the method can be flexibly applied to various services, and the application range is greatly expanded. And by regularly inquiring the current user quantity of the opened service server, the service server to be opened can be automatically opened in advance when the current user quantity meets the corresponding custom opening condition determined according to the user quantity threshold. Therefore, the service server to be opened is automatically opened in advance by using the current user quantity of the opened service server without manually and regularly opening the service server, the timeliness of opening the service server is guaranteed, and the problem of delay in opening the service server can be avoided even under the condition that the user quantity is increased rapidly.

A computer-readable storage medium storing a computer program which, when executed by a processor, performs the steps of: accessing an open configuration page; acquiring a user-defined open condition parameter recorded in an open configuration page; the user-defined open condition parameters comprise a user quantity threshold; sending the user-defined open condition parameters to a server; the user-defined opening condition parameter is used for indicating the server to determine the estimated opening time according to the user quantity change trend index and the user quantity threshold of the opened service server; configuring a service server to be opened according to the estimated opening time; when the current user quantity of the opened service server meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating the opening of the service server to be opened.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A method for opening a service server comprises the following steps:

inquiring the historical user quantity and the corresponding historical time of the opened service server;

determining a user quantity change trend index of the opened service server according to the historical user quantity and the corresponding historical time; the user quantity change trend index comprises a function relation of user quantity change along with time or a user quantity change rate;

2. The method according to claim 1, wherein the determining a user volume change trend indicator of an opened service server according to the historical user volume and the corresponding historical time comprises:

performing data fitting according to the historical user quantity and the corresponding historical time to generate a function relation of the user quantity changing along with the time;

the determining the estimated opening time according to the user quantity change trend index and the pre-configured user quantity threshold value comprises the following steps:

and according to the function relation of the user quantity changing along with the time, taking the corresponding time when the user measures the pre-configured user quantity threshold as the estimated opening time.

3. The method according to claim 1, wherein the determining a user volume change trend indicator of an opened service server according to the historical user volume and the corresponding historical time comprises:

determining the user quantity growth rate according to the current user quantity, the historical user quantity, the current time and the historical time;

calculating a ratio of a difference between a preconfigured user quantity threshold and a current user quantity to the user quantity increase rate;

and taking the sum of the calculated ratio and the current time as the estimated opening time.

4. The method of claim 1, further comprising:

acquiring a data query address and a user-defined open condition parameter which are correspondingly input in an open configuration page; the custom open condition parameter comprises the user quantity threshold;

the periodically querying the current user amount of the opened service server includes:

and according to the data query address, regularly querying the current user quantity of the opened service server.

5. The method of claim 4, wherein triggering an open command when the current user amount meets a corresponding custom open condition determined by the user amount threshold comprises:

acquiring a service server attribute corresponding to a predefined opening condition;

and triggering an opening instruction when the service server attribute meets the corresponding predefined opening condition and the current user quantity meets the corresponding custom opening condition determined according to the user quantity threshold.

6. The method of claim 5, wherein the predefined open condition comprises at least one of:

the method comprises the steps that a task in-process state or a task failure state for executing a business server opening task does not exist at present; alternatively, the first and second electrodes may be,

the number of the open service servers in the preset time is less than or equal to the preset number; alternatively, the first and second electrodes may be,

the current service server to be opened is not opened; alternatively, the first and second electrodes may be,

the number of the current service server to be opened is increased compared with the number of the service server opened last time.

7. The method according to any one of claims 1 to 6, further comprising:

acquiring a data query address and service recommendation condition parameters which are correspondingly configured in a recommendation configuration page; the service recommendation condition parameter comprises a user quantity recommendation threshold;

according to the data query address, regularly querying the current user quantity of the opened service server;

and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold, performing recommendation operation on the corresponding opened service server.

8. The method according to claim 7, wherein the recommending operation for the corresponding opened service server when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold value comprises:

screening the opened service servers with the opening time within a preset time period and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold;

inquiring the screened opened service server in a pre-configured blacklist;

and when the opened service server which is not recorded in the blacklist accords with the predefined recommendation condition, recommending the opened service server which accords with the predefined recommendation condition.

9. The method according to claim 8, wherein when the opened service server not recorded in the blacklist meets a predefined recommendation condition, performing a recommendation operation on the opened service server meeting the predefined recommendation condition comprises:

sequencing the opened service servers which are not recorded in the blacklist according to a preset sequencing mode;

selecting the opened service servers of which the number is less than or equal to the recommended upper limit number according to the sequencing result;

and performing recommendation operation on the opened service server which is not subjected to recommendation operation and/or is not marked as a recommendation canceling state in the selected opened service servers.

10. A service server opening method comprises the following steps:

accessing an open configuration page;

sending the user-defined open condition parameters to a server; the user-defined opening condition parameter is used for indicating the server to determine the estimated opening time according to the user quantity change trend index of the opened service server and the user quantity threshold; configuring a service server to be opened according to the estimated opening time; when the current user quantity of the opened service server meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating to open the service server to be opened; the user quantity change trend index comprises a function relation of the user quantity changing along with the time or a user quantity change rate, and is determined and obtained based on the inquired historical user quantity of the opened service server and corresponding historical time.

11. The method of claim 10, further comprising:

accessing a recommended configuration page;

acquiring a data query address and service recommendation condition parameters which are input in the recommendation configuration page; the service recommendation condition parameter comprises a user quantity recommendation threshold;

sending the service recommendation condition parameters to a server; the service recommendation condition parameter is used for indicating the server to periodically query the current user quantity of the opened service server according to the data query address; and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold, performing recommendation operation on the corresponding opened service server.

12. An open service server apparatus, comprising:

the acquisition module is used for inquiring the historical user quantity and the corresponding historical time of the opened service server; determining a user quantity change trend index of the opened service server according to the historical user quantity and the corresponding historical time; the user quantity change trend index comprises a function relation of user quantity change along with time or a user quantity change rate;

13. The apparatus according to claim 12, wherein the determining module is further configured to perform data fitting according to the historical user amount and the corresponding historical time, so as to generate a functional relationship between the user amount and the time variation; and according to the function relation of the user quantity changing along with the time, taking the corresponding time when the user measures the pre-configured user quantity threshold as the estimated opening time.

14. The apparatus of claim 12, wherein the determining module is further configured to determine a user volume growth rate according to a current user volume, the historical user volume, a current time, and the historical time; calculating a ratio of a difference between a preconfigured user quantity threshold and a current user quantity to the user quantity increase rate; and taking the sum of the calculated ratio and the current time as the estimated opening time.

15. The device according to claim 12, wherein the obtaining module is further configured to obtain a data query address and a custom open condition parameter that are correspondingly entered in an open configuration page; the custom open condition parameter comprises the user quantity threshold;

and the query module is also used for periodically querying the current user quantity of the opened service server according to the data query address.

16. The apparatus of claim 15, wherein the triggering module is further configured to obtain a service server attribute corresponding to a predefined open condition; and triggering an opening instruction when the service server attribute meets the corresponding predefined opening condition and the current user quantity meets the corresponding custom opening condition determined according to the user quantity threshold.

17. The apparatus of claim 16, wherein the predefined open condition comprises at least one of:

18. The apparatus of any one of claims 12 to 17, further comprising a recommendation module, wherein:

the acquisition module is further used for acquiring the data query address and the service recommendation condition parameters which are correspondingly configured in the recommendation configuration page; the service recommendation condition parameter comprises a user quantity recommendation threshold;

the query module is further used for periodically querying the current user quantity of the opened service server according to the data query address;

and the recommending module is used for recommending the corresponding opened service server when the current user quantity meets the service recommending condition determined according to the user quantity recommending threshold.

19. The apparatus of claim 18, wherein the recommending module is further configured to filter an opened service server that has an opening time within a preset time period and meets a service recommendation condition determined according to the user quantity recommendation threshold when the current user quantity meets the service recommendation condition; inquiring the screened opened service server in a pre-configured blacklist; and when the opened service server which is not recorded in the blacklist accords with the predefined recommendation condition, recommending the opened service server which accords with the predefined recommendation condition.

20. The apparatus of claim 19, wherein the recommending module is further configured to sort the opened service servers that are not recorded in the blacklist according to a preconfigured sorting manner; selecting the opened service servers of which the number is less than or equal to the recommended upper limit number according to the sequencing result; and performing recommendation operation on the opened service server which is not subjected to recommendation operation and/or is not marked as a recommendation canceling state in the selected opened service servers.

21. An open service server apparatus, comprising:

the access module is used for accessing the open configuration page;

the sending module is used for sending the user-defined open condition parameters to a server; the user-defined opening condition parameter is used for indicating the server to determine the estimated opening time according to the user quantity change trend index of the opened service server and the user quantity threshold; configuring a service server to be opened according to the estimated opening time; when the current user quantity of the opened service server meets the corresponding user-defined opening condition determined according to the user quantity threshold, triggering an opening instruction; the opening instruction is used for indicating to open the service server to be opened; the user quantity change trend index comprises a function relation of the user quantity changing along with the time or a user quantity change rate, and is determined and obtained based on the inquired historical user quantity of the opened service server and corresponding historical time.

22. The apparatus of claim 21, wherein the accessing module is further configured to access a recommended configuration page;

the acquisition module is further used for acquiring the data query address and the service recommendation condition parameters which are input in the recommendation configuration page; the service recommendation condition parameter comprises a user quantity recommendation threshold;

the sending module is further used for sending the service recommendation condition parameters to a server; the service recommendation condition parameter is used for indicating the server to periodically query the current user quantity of the opened service server according to the data query address; and when the current user quantity meets the service recommendation condition determined according to the user quantity recommendation threshold, performing recommendation operation on the corresponding opened service server.

23. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 11.

24. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 11.