CN114553705B - Dynamic capacity expansion method and device for server, electronic equipment and storage medium - Google Patents
Dynamic capacity expansion method and device for server, electronic equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0896—Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
- H04L41/0816—Configuration setting characterised by the conditions triggering a change of settings the condition being an adaptation, e.g. in response to network events
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0876—Aspects of the degree of configuration automation
- H04L41/0886—Fully automatic configuration
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0889—Techniques to speed-up the configuration process
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0893—Assignment of logical groups to network elements
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Abstract
The invention relates to the field of artificial intelligence, and provides a server dynamic capacity expansion method, which comprises the steps of establishing a communication relation between a flow statistics plug-in and a preset back-end management program, and acquiring a capacity expansion server through the back-end management program; acquiring the data flow of the request receiving end in real time through a flow statistics plug-in, and judging whether the capacity expansion of the server is required or not based on the data flow through a back-end management program; if the capacity of the server needs to be expanded, smoothly introducing the data flow into the capacity expansion server through a preset drainage plug-in; determining a flow base on the basis of the data flow and the capacity expansion flow in the capacity expansion server, and if the flow base is lower than a preset offline threshold, disconnecting the capacity expansion server; therefore, the carrying capacity of the system is automatically judged according to the flow statistics, and automatic capacity expansion processing is timely carried out, so that the newly added capacity expansion server shares the data pressure of the original server, and when the total data is not particularly high, the capacity expansion server is disconnected, so that the system cost is saved.
Description
Technical Field
The present invention relates to the field of artificial intelligence, and in particular, to a method and apparatus for dynamically expanding a capacity of a server, an electronic device, and a computer readable storage medium.
Background
The server is not only its hardware configuration, but more its software system configuration, and therefore its functionality is much more complex than that of a PC. The server is not imaginable without comprehensive software support, but the software system is too many, and the service performance of the server may be reduced, and management staff cannot effectively operate the server.
In a high concurrency scene, in order to avoid the condition that the system is down or the functions are completely unavailable, the Web system should timely cope with the increase of the instantaneous flow, and in order to improve the sustainable service capability of the system, the expansion processing is required to be carried out on the system so as to improve the load capability of the system.
If the capacity expansion processing is performed, in the existing processing method, the current system load is judged by combining the real-time flow analysis with the use condition of the background server resource, then judging whether the capacity expansion processing is performed on the system is determined, when the capacity expansion processing is performed on the system is judged, firstly, the server is prepared, then the service is deployed, whether the service is normal is verified, the configuration is modified, and then some series of operations such as drainage are performed, all the operations are completed manually, so that the complexity, the time consumption and the error are high, and the load pressure caused by the instantaneous flow improvement of the system cannot be solved timely. When the flow is reduced, the expanded server needs to be subjected to offline processing, namely flow switching is needed, and offline is serviced so as to save the system cost, but the online and offline processes are all manual operations, so that the operations are performed, the labor is consumed, the time is wasted, the mistakes are extremely easy to occur, and bad experience is brought to users.
Therefore, there is a need for a method, a device, an electronic device and a storage medium for automatically expanding a server according to data traffic to automatically analyze the data traffic, thereby reducing manpower waste and improving capacity expansion efficiency.
Disclosure of Invention
The invention provides a server dynamic capacity expansion method capable of automatically analyzing data flow and automatically expanding the capacity of a server according to the data flow so as to reduce manpower waste and improve capacity expansion efficiency, which aims to solve the problems that when judging that the capacity expansion of a system is required, a server is prepared, then service is deployed, whether the service is normal or not is verified, configuration is modified, drainage and other column operations are carried out, the operations are all completed manually, the operation is complex and time-consuming, mistakes are easy to occur, and the load pressure caused by the instantaneous flow improvement of the system cannot be timely solved. When the flow is reduced, the expanded server needs to be subjected to offline processing, namely, the flow is required to be switched, and offline is serviced so as to save the system cost, but the online and offline processes are all manual operations, so that the operations are performed, the labor is consumed, the time is wasted, the mistakes are extremely easy to occur, and the problem of bad experience is brought to the user.
In order to achieve the above object, the present invention provides a method for dynamically expanding a server, including:
connecting a pre-established flow statistics plug-in and a request receiving end of a server, establishing a communication relation between the flow statistics plug-in and a preset back-end management program, and acquiring a capacity expansion server through the back-end management program;
Acquiring the data flow of the request receiving end in real time through the flow statistics plug-in, and judging whether the capacity expansion of the server is required or not based on the data flow through the back-end management program;
If the capacity of the server is required to be expanded, smoothly introducing the data flow into the capacity expansion server through a preset drainage plug-in;
And determining a flow base on the basis of the data flow and the capacity expansion flow in the capacity expansion server, and if the flow base is lower than a preset offline threshold, disconnecting the capacity expansion server.
Optionally, the connecting the pre-created flow statistics plug-in and the request receiving end of the server, establishing a communication relationship between the flow statistics plug-in and a preset back-end management program, and obtaining the capacity expansion server through the back-end management program, where the method includes:
Deploying the pre-created statistical script in the server to form a flow statistical plug-in;
Connecting the flow statistics plug-in with a request receiving end of a server, and establishing a communication relationship between the flow statistics plug-in and a preset back-end management program; the back-end management program at least comprises a server acquisition program, a deployment plug-in, a test plug-in and a capacity expansion judging component;
And acquiring a new server through the server acquisition program, and initializing the new server through the deployment plug-in to form a capacity expansion server.
Optionally, presetting the backend management program includes:
creating a management program in the background of the server;
sending a post request or a get request to the back-end management program through the test case to obtain a test result;
comparing the test result with a preset comparison interval, and taking the management program as a back-end management program if the test result is in the comparison interval.
Optionally, the acquiring, by the server acquiring program, a new server, and initializing, by the deployment plug-in, the new server to form a capacity expansion server, includes:
Acquiring a new server by the server acquisition program through an API (application program interface);
Initializing the new server through the deployment plug-in to form a capacity expansion server;
Detecting whether the capacity expansion server operates normally or not through the test plug-in, and acquiring server information of the capacity expansion server if the capacity expansion server operates normally;
And adding the server information into a preset front-end server configuration and the capacity expansion judging component to complete the deployment of the capacity expansion server.
Optionally, the determining, by the backend management program, whether the server needs to be expanded based on the data traffic includes:
Acquiring the flow number of the data flow through a preset statistics plug-in;
Acquiring the hardware utilization rate of the server, and acquiring the load number of the server at least based on the hardware utilization rate and the flow number through an intelligent algorithm in the back-end management program;
Judging whether the load number exceeds a preset critical value, if so, overload the server and capacity expansion of the server are needed, and if not, the server is not overloaded and capacity expansion of the server is not needed.
Optionally, if the capacity of the server needs to be expanded, smoothly introducing the data traffic into the capacity expansion server through a preset drainage plug-in, including:
If the capacity of the server is required to be expanded, the data traffic is led to the capacity expansion server through a preset flow-leading plug-in unit at the front end according to a preset category or classification; wherein the drainage step comprises:
And starting a new process by the main process of the drainage plug-in, and loading new configuration in the new process to respond to the user request, and simultaneously sending an instruction of not receiving the user request of a specific category to the old process in the server through the main process.
Optionally, the determining the traffic base based on the data traffic and the capacity expansion traffic in the capacity expansion server, if the traffic base is lower than a preset offline threshold, disconnecting the capacity expansion server includes:
The method comprises the steps of monitoring the flow in a Su Songhu capacity expansion server in real time through a preset capacity expansion monitoring plug-in unit to obtain capacity expansion flow;
determining a flow base by combining the capacity expansion flow and the data flow acquired in real time by the flow statistics plug-in;
Comparing the flow technology with a preset offline threshold, and if the flow base is lower than the offline threshold, disconnecting the capacity expansion server; wherein, the step of downloading includes:
and sending an instruction for receiving a user request of a specific category to an old process in the server through the main process of the drainage plug-in, and closing the new process by the main process of the drainage plug-in so as to finish the offline of the capacity expansion server.
In order to solve the above problems, the present invention further provides a server dynamic capacity expansion device, which includes:
The server acquisition unit is used for connecting the pre-established flow statistics plug-in and a request receiving end of the server, establishing a communication relationship between the flow statistics plug-in and a preset back-end management program, and acquiring the capacity expansion server through the back-end management program;
The capacity expansion judging unit is used for acquiring the data flow of the request receiving end in real time through the flow statistics plug-in unit and judging whether the capacity expansion of the server is required or not based on the data flow through the back-end management program;
the capacity expansion online unit is used for smoothly leading the data flow into the capacity expansion server through a preset drainage plug-in unit if the capacity of the server needs to be expanded;
And the capacity expansion offline unit is used for determining a flow base on the basis of the data flow and the capacity expansion flow in the capacity expansion server, and if the flow base is lower than a preset offline threshold, the capacity expansion server is offline.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
A memory storing at least one instruction; and
And the processor executes the instructions stored in the memory to realize the steps in the server dynamic capacity expansion method.
In order to solve the above-mentioned problems, the present invention also provides a computer-readable storage medium having at least one instruction stored therein, the at least one instruction being executed by a processor in an electronic device to implement the server dynamic capacity expansion method described above.
The method comprises the steps of firstly connecting a pre-established flow statistics plug-in and a request receiving end of a server, establishing a communication relationship between the flow statistics plug-in and a preset back-end management program, and obtaining a capacity expansion server through the back-end management program; acquiring the data flow of the request receiving end in real time through a flow statistics plug-in, and judging whether the capacity expansion of the server is required or not based on the data flow through a back-end management program; if the capacity of the server needs to be expanded, smoothly introducing the data flow into the capacity expansion server through a preset drainage plug-in; determining a flow base on the basis of the data flow and the capacity expansion flow in the capacity expansion server, and if the flow base is lower than a preset offline threshold, disconnecting the capacity expansion server; therefore, the carrying capacity of the system can be automatically judged according to the flow statistics, and automatic capacity expansion processing can be timely carried out, so that the newly added capacity expansion server shares the data pressure of the original server, and in order to cope with the instant flow increase, the capacity expansion of the server is carried out for improving the sustainable service capacity of the system, but the sustainable service capacity of the system is not always in a large flow state for a long time, so that the total data is not particularly high through real-time monitoring, the capacity expansion server is disconnected, and the system cost is saved.
Drawings
Fig. 1 is a flow chart of a dynamic capacity expansion method of a server according to an embodiment of the invention;
fig. 2 is a schematic block diagram of a dynamic capacity expansion device of a server according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an internal structure of an electronic device for implementing a server dynamic capacity expansion method according to an embodiment of the present invention;
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
If the capacity expansion processing is performed, in the existing processing method, the current system load is judged by combining the real-time flow analysis with the use condition of the background server resource, then judging whether the capacity expansion processing is performed on the system is determined, when the capacity expansion processing is performed on the system is judged, firstly, the server is prepared, then the service is deployed, whether the service is normal is verified, the configuration is modified, and then some series of operations such as drainage are performed, all the operations are completed manually, so that the complexity, the time consumption and the error are high, and the load pressure caused by the instantaneous flow improvement of the system cannot be solved timely. When the flow is reduced, the expanded server needs to be subjected to offline processing, namely flow switching is needed, and offline is serviced so as to save the system cost, but the online and offline processes are all manual operations, so that the operations are performed, the labor is consumed, the time is wasted, the mistakes are extremely easy to occur, and bad experience is brought to users.
In order to solve the above problems, the present invention provides a server dynamic capacity expansion method. Referring to fig. 1, a flow chart of a dynamic capacity expansion method of a server according to an embodiment of the invention is shown. The method may be performed by an apparatus, which may be implemented in software and/or hardware.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Wherein artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) is the theory, method, technique, and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend, and expand human intelligence, sense the environment, acquire knowledge, and use knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
In this embodiment, the server dynamic capacity expansion method includes:
S1: connecting a pre-established flow statistics plug-in and a request receiving end of a server, establishing a communication relation between the flow statistics plug-in and a preset back-end management program, and acquiring a capacity expansion server through the back-end management program;
S2: acquiring the data flow of the request receiving end in real time through the flow statistics plug-in, and judging whether the capacity expansion of the server is required or not based on the data flow through the back-end management program;
S3: if the capacity of the server is required to be expanded, smoothly introducing the data flow into the capacity expansion server through a preset drainage plug-in;
S4: and determining a flow base on the basis of the data flow and the capacity expansion flow in the capacity expansion server, and if the flow base is lower than a preset offline threshold, disconnecting the capacity expansion server.
In the embodiment shown in fig. 1, step S1 is a process of connecting a pre-created flow statistics plug-in and a request receiving end of a server, establishing a communication relationship between the flow statistics plug-in and a pre-set back-end management program, and obtaining a capacity expansion server through the back-end management program, where the process includes:
s11: deploying the pre-created statistical script in the server to form a flow statistical plug-in;
S12: connecting the flow statistics plug-in with a request receiving end of a server, and establishing a communication relationship between the flow statistics plug-in and a preset back-end management program; the back-end management program at least comprises a server acquisition program, a deployment plug-in, a test plug-in and a capacity expansion judging component;
S13: and acquiring a new server through the server acquisition program, and initializing the new server through the deployment plug-in to form a capacity expansion server.
The process of presetting the back-end management program comprises the following steps:
S121: creating a management program in the background of the server;
S122: sending a post request or a get request to the back-end management program through the test case to obtain a test result;
S123: comparing the test result with a preset comparison interval, and taking the management program as a back-end management program if the test result is in the comparison interval;
In a specific embodiment, in steps S121-S123, according to a test case inside the shell script, a post request or a get request is sent to the hypervisor to obtain a result, and the result is compared with an expected result of the shell script, if the result is consistent, service deployment is considered to be successful;
Step S11 is to pre-create a statistics plug-in, and then deploy the statistics plug-in a server to form a traffic statistics plug-in, where the traffic statistics plug-in may be any plug-in or component with a traffic statistics function, in this embodiment, all user requests may pass through the traffic statistics plug-in, when traffic begins to increase, the system combines application service resource usage and real-time traffic, calculates load pressure through an intelligent algorithm, and when the pressure is too large, expansion needs to be performed, in this embodiment, the traffic statistics plug-in is an nmginx+lua script, where nmginx is an open-source high-performance HTTP and Web reverse proxy server, and an nmginx+lua script combines with an intelligent algorithm to implement dynamic expansion of the server, when traffic increases instantaneously, the system combines with traffic real-time conditions, and background resource usage, calculates whether to perform expansion processing through the algorithm, and performs smooth and automatic expansion or reduction operation on the system;
Step S12 is a process of connecting a flow statistics plug-in with a request receiving end of a server and establishing a communication relation between the flow statistics plug-in and a preset back-end management program, wherein in the process, the connection relation between the request receiving end of the server and the flow statistics plug-in and the back-end management program is established through the process, so that the flow statistics plug-in counts the data flow of the request receiving end and judges whether further expansion is needed through the back-end management program;
Step S13 is a process of acquiring a new server through the server acquisition program, and initializing the new server through the deployment plug-in to form a capacity expansion server, where the process includes:
s131: acquiring a new server by the server acquisition program through an API (application program interface);
S132: initializing the new server through the deployment plug-in to form a capacity expansion server;
s133: detecting whether the capacity expansion server operates normally or not through the test plug-in, and acquiring server information of the capacity expansion server if the capacity expansion server operates normally;
S134: and adding the server information into a preset front-end server configuration and the capacity expansion judging component to complete the deployment of the capacity expansion server.
Specifically, step S131 is a process of acquiring a new server, where the new server may be acquired in any manner, in this embodiment, the server is purchased through a cloud platform console API (such as Ping Anyun) interface, the purchased server is subjected to step S132, that is, the new server is initialized to enable normal operation, and then step S133 is performed to detect the capacity expansion server, so as to determine that the capacity expansion server can be normally operated, where the deployment script is an automated shell script, and the test plug-in is an automated test shell script; that is, in this embodiment, the server is purchased through the cloud platform console API interface, the server is purchased, the server initialization is completed through the automated shell script, the server deployment is completed according to the automated deployment shell script, after the deployment is completed, the automated test shell script is operated, the normal deployment of the service is judged, the information such as the server IP address is recorded, the shell script is operated, the configuration of the front-end NGINX server is modified, the newly purchased server information is added, and then reload NGINX services are performed.
In the embodiment shown in fig. 1, step S2 is a process of acquiring, in real time, the data traffic of the request receiving end through the traffic statistics plug-in, and determining, by the backend management program, whether to expand the capacity of the server based on the data traffic, where the process includes:
s21: acquiring the flow number of the data flow through a preset statistics plug-in;
S22: acquiring the hardware utilization rate of the server, and acquiring the load number of the server at least based on the hardware utilization rate and the flow number through an intelligent algorithm in the back-end management program;
s23: judging whether the load number exceeds a preset critical value, if so, overload the server and capacity expansion of the server are needed, and if not, the server is not overloaded and capacity expansion of the server is not needed.
Specifically, step S21 is a process of obtaining the flow number of the data flow, and the specific statistical mode is not limited, and may be any algorithm or statistical formula with a statistical function;
Steps S22 and S23 are processes of obtaining the hardware utilization rate equivalent, and then judging whether to need capacity expansion according to the value, where the hardware utilization rate may include CPU utilization rate, memory utilization rate, and the like, and obtaining the load number of the server through an intelligent algorithm in a back-end management program based on at least the hardware utilization rate and the flow number, and more specifically, in a specific embodiment, in combination with the CPU utilization rate, the memory utilization rate, the NGINX QPS request amount, the QPS value is configured according to a pressure measurement environment provided in the earlier stage, the server configures, and the pressure measured system baseline load value is, for example, 1000 (this 1000 is an example value, possibly has a variation), and when the CPU utilization rate exceeds 80% critical value, the memory utilization rate exceeds 80% critical value (QPS may be obtained through log calculation according to a shell script), it is judged that the pressure is too large.
In the embodiment shown in fig. 1, step S3 is a process of smoothly introducing the data traffic into the capacity expansion server through a preset drainage plug-in if capacity expansion is required for the server; wherein,
If the capacity of the server is required to be expanded, the data traffic is led to the capacity expansion server through a preset flow-leading plug-in unit at the front end according to a preset category or classification; wherein, the drainage process includes:
Starting a new process by a main process of the drainage plug-in, loading new configuration in the new process to respond to a user request, and simultaneously sending an instruction of not receiving a user request of a specific category to an old process in the server through the main process;
specifically, in this embodiment, the switching flow smoothly expands the capacity, that is, flows through reload front end rginx service (flow guiding plug-in), and flows to the newly expanded server; specifically, smooth capacity expansion is achieved through a reload mechanism of nginnx, and a reload mechanism of Nginx is as follows: in the process, the nginx main process starts a new working process to load new configuration, responds to a new user request, and actively transmits a signal to an old working process to inform the old working process that the new request is not accepted any more, and exits after all the existing requests are processed.
Thus, the capacity expansion server shares the user request in the old server.
In the embodiment shown in fig. 1, step S4 is a process of determining a traffic base based on the data traffic and the capacity expansion traffic in the capacity expansion server, and if the traffic base is lower than a preset offline threshold, disconnecting the capacity expansion server; wherein, include:
S41: the method comprises the steps of monitoring the flow in a Su Songhu capacity expansion server in real time through a preset capacity expansion monitoring plug-in unit to obtain capacity expansion flow;
s42: determining a flow base by combining the capacity expansion flow and the data flow acquired in real time by the flow statistics plug-in;
s43: comparing the flow technology with a preset offline threshold, and if the flow base is lower than the offline threshold, disconnecting the capacity expansion server; wherein, the process of coming off line includes:
and sending an instruction for receiving a user request of a specific category to an old process in the server through the main process of the drainage plug-in, and closing the new process by the main process of the drainage plug-in so as to finish the offline of the capacity expansion server.
Specifically, step S41 is a process of monitoring the flow in the Su Songhu expansion server in real time through a preset expansion monitoring plug-in to obtain the expansion flow, further performing step S42 to obtain the flow base, and then comparing the flow base with the lower threshold through step S43 to determine whether the original old server continues to expand the expansion server, and in general, in order to cope with the instant flow increase, in order to improve the sustainable service capability of the system, the expansion of the server is performed, but not continuously in a large flow state for a long time, so that the expansion server is disconnected when the total data is not particularly high through real-time monitoring, so as to save the system cost.
As described above, in the server dynamic capacity expansion method in the embodiment of the present invention, firstly, a pre-created flow statistics plug-in is connected with a request receiving end of a server, a communication relationship between the flow statistics plug-in and a pre-set back-end management program is established, and a capacity expansion server is obtained through the back-end management program; acquiring the data flow of the request receiving end in real time through a flow statistics plug-in, and judging whether the capacity expansion of the server is required or not based on the data flow through a back-end management program; if the capacity of the server needs to be expanded, smoothly introducing the data flow into the capacity expansion server through a preset drainage plug-in; determining a flow base on the basis of the data flow and the capacity expansion flow in the capacity expansion server, and if the flow base is lower than a preset offline threshold, disconnecting the capacity expansion server; therefore, the carrying capacity of the system can be automatically judged according to the flow statistics, and automatic capacity expansion processing can be timely carried out, so that the newly added capacity expansion server shares the data pressure of the original server, and in order to cope with the instant flow increase, the capacity expansion of the server is carried out for improving the sustainable service capacity of the system, but the sustainable service capacity of the system is not always in a large flow state for a long time, so that the total data is not particularly high through real-time monitoring, the capacity expansion server is disconnected, and the system cost is saved.
As described above, in the embodiment shown in FIG. 1, the server dynamic capacity expansion method provided by the invention has the following advantages: 1. the service resource use condition of the background application is intelligently collected, and the bearing capacity of the system is intelligently judged; the intelligent collection is to automatically collect the service conditions of a system CPU, a memory and the like through an api interface of a monitoring platform, automatically calculate, judge the system pressure according to the calculation result, and determine whether the server capacity expansion is needed or not through judging the system pressure; 2. the capacity expansion process can be more accurately and automatically completed through an intelligent algorithm; 3. when the system load is reduced, the configuration reducing operation is automatically completed; in general, in order to cope with the increase of the instantaneous flow, the capacity of the server is expanded to improve the sustainable service capability of the system, but the server is not always in a large flow state for a long time, so that the capacity expansion server is disconnected by real-time monitoring when the total data is not particularly high, so as to save the cost of the system; 4. adopting a Redis storage algorithm strategy, and realizing excellent read-write performance and data persistent storage; 5. the system state can be checked in real time by combining with a Web system management background, and manual intervention can be performed in real time; 6. the Nginx+lua is self-developed, can be subjected to secondary development and packaging, and has excellent overall performance.
As shown in fig. 2, the present invention provides a server dynamic capacity expansion device 100, which can be installed in an electronic device. Depending on the implemented functions, the server dynamic capacity expansion device 100 may include a server acquisition unit 101, a capacity expansion determination unit 102, a capacity expansion on-line unit 103, and a capacity expansion off-line unit 104. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
a server obtaining unit 101, configured to connect a pre-created flow statistics plug-in and a request receiving end of a server, establish a communication relationship between the flow statistics plug-in and a preset back-end management program, and obtain a capacity expansion server through the back-end management program;
The capacity expansion judging unit 102 is configured to obtain, in real time, a data flow of the request receiving end through the flow statistics plug-in, and judge, through the back-end management program, whether capacity expansion of the server is required based on the data flow;
A capacity expansion online unit 103, configured to smoothly guide the data traffic to the capacity expansion server through a preset drainage plug-in if capacity expansion is required to be performed on the server;
and the capacity expansion offline unit 104 is configured to determine a traffic base based on the data traffic and the capacity expansion traffic in the capacity expansion server, and if the traffic base is lower than a preset offline threshold, offline the capacity expansion server.
The specific implementation method may refer to the description of the related steps in the corresponding embodiment of fig. 1, which is not repeated herein.
The server dynamic capacity expansion device of the embodiment of the invention firstly connects a pre-established flow statistics plug-in with a request receiving end of a server through a server acquisition unit 101, establishes a communication relationship between the flow statistics plug-in and a preset back-end management program, and acquires a capacity expansion server through the back-end management program; the capacity expansion judging unit 102 is used for acquiring the data flow of the request receiving end in real time through the flow statistics plug-in, and judging whether the capacity expansion of the server is required or not through the back-end management program based on the data flow; if the capacity expansion of the server is needed by utilizing the capacity expansion online unit 103, smoothly introducing the data flow into the capacity expansion server through a preset drainage plug-in; determining a flow base number based on the data flow and the capacity expansion flow in the capacity expansion server by the capacity expansion offline unit 104, and offline the capacity expansion server if the flow base number is lower than a preset offline threshold; therefore, the carrying capacity of the system can be automatically judged according to the flow statistics, and automatic capacity expansion processing can be timely carried out, so that the newly added capacity expansion server shares the data pressure of the original server, and in order to cope with the instant flow increase, the capacity expansion of the server is carried out for improving the sustainable service capacity of the system, but the sustainable service capacity of the system is not always in a large flow state for a long time, so that the total data is not particularly high through real-time monitoring, the capacity expansion server is disconnected, and the system cost is saved.
The server dynamic capacity expansion device provided by the invention has the following advantages: 1. the service resource use condition of the background application is intelligently collected, and the bearing capacity of the system is intelligently judged; the intelligent collection is to automatically collect the service conditions of a system CPU, a memory and the like through an api interface of a monitoring platform, automatically calculate, judge the system pressure according to the calculation result, and determine whether the server capacity expansion is needed or not through judging the system pressure; 2. the capacity expansion process can be more accurately and automatically completed through an intelligent algorithm; 3. when the system load is reduced, the configuration reducing operation is automatically completed; in general, in order to cope with the increase of the instantaneous flow, the capacity of the server is expanded to improve the sustainable service capability of the system, but the server is not always in a large flow state for a long time, so that the capacity expansion server is disconnected by real-time monitoring when the total data is not particularly high, so as to save the cost of the system; 4. adopting a Redis storage algorithm strategy, and realizing excellent read-write performance and data persistent storage; 5. the system state can be checked in real time by combining with a Web system management background, and manual intervention can be performed in real time; 6. the Nginx+lua is self-developed, can be subjected to secondary development and packaging, and has excellent overall performance.
As shown in fig. 3, the present invention provides an electronic device 1 of a server dynamic capacity expansion method.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as a server dynamic expansion program 12, stored in the memory 11 and executable on said processor 10.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various data, such as a server-dynamically-expanding code, but also for temporarily storing data that has been output or is to be output.
The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules (e.g., a server dynamic capacity expansion program, etc.) stored in the memory 11, and invokes data stored in the memory 11 to perform various functions of the electronic device 1 and process data.
The bus may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
Fig. 3 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The server dynamic capacity expansion program 12 stored in the memory 11 of the electronic device 1 is a combination of a plurality of instructions, which when run in the processor 10, can implement:
S1: connecting a pre-established flow statistics plug-in and a request receiving end of a server, establishing a communication relation between the flow statistics plug-in and a preset back-end management program, and acquiring a capacity expansion server through the back-end management program;
S2: acquiring the data flow of the request receiving end in real time through the flow statistics plug-in, and judging whether the capacity expansion of the server is required or not based on the data flow through the back-end management program;
S3: if the capacity of the server is required to be expanded, smoothly introducing the data flow into the capacity expansion server through a preset drainage plug-in;
S4: and determining a flow base on the basis of the data flow and the capacity expansion flow in the capacity expansion server, and if the flow base is lower than a preset offline threshold, disconnecting the capacity expansion server.
Specifically, the specific implementation method of the above instructions by the processor 10 may refer to the description of the relevant steps in the corresponding embodiment of fig. 1, which is not repeated herein. It should be emphasized that, in order to further ensure the privacy and security of the dynamic capacity expansion of the server, the data of the dynamic capacity expansion of the server is stored in the node of the blockchain where the server cluster is located.
The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
Embodiments of the present invention also provide a computer readable storage medium, which may be non-volatile or volatile, storing a computer program which when executed by a processor implements:
S1: connecting a pre-established flow statistics plug-in and a request receiving end of a server, establishing a communication relation between the flow statistics plug-in and a preset back-end management program, and acquiring a capacity expansion server through the back-end management program;
S2: acquiring the data flow of the request receiving end in real time through the flow statistics plug-in, and judging whether the capacity expansion of the server is required or not based on the data flow through the back-end management program;
S3: if the capacity of the server is required to be expanded, smoothly introducing the data flow into the capacity expansion server through a preset drainage plug-in;
S4: and determining a flow base on the basis of the data flow and the capacity expansion flow in the capacity expansion server, and if the flow base is lower than a preset offline threshold, disconnecting the capacity expansion server.
In particular, the specific implementation method of the computer program when executed by the processor may refer to descriptions of related steps in the embodiment server dynamic capacity expansion method, which are not described herein in detail.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The blockchain (Blockchain), essentially a de-centralized database, is a string of data blocks that are generated in association using cryptographic methods, each of which contains information from a batch of network transactions for verifying the validity (anti-counterfeit) of its information and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. A method for dynamically expanding a server, comprising:
connecting a pre-established flow statistics plug-in and a request receiving end of a server, establishing a communication relation between the flow statistics plug-in and a preset back-end management program, and acquiring a capacity expansion server through the back-end management program; comprising the following steps:
Deploying the pre-created statistical script in the server to form a flow statistical plug-in; connecting the flow statistics plug-in with a request receiving end of a server, and establishing a communication relationship between the flow statistics plug-in and a preset back-end management program; the back-end management program at least comprises a server acquisition program, a deployment plug-in, a test plug-in and a capacity expansion judging component; acquiring a new server through the server acquisition program, and initializing the new server through the deployment plug-in to form a capacity expansion server;
Acquiring the data flow of the request receiving end in real time through the flow statistics plug-in, and judging whether the capacity expansion of the server is required or not based on the data flow through an intelligent algorithm in the back-end management program; the flow statistics plug-in comprises an Nginx+Lua script;
If the capacity of the server is required to be expanded, smoothly introducing the data flow into the capacity expansion server through a preset drainage plug-in;
determining a flow base on the basis of the data flow and the capacity expansion flow in the capacity expansion server, and if the flow base is lower than a preset offline threshold, disconnecting the capacity expansion server;
The step of obtaining a new server through the server obtaining program and initializing the new server through the deployment plug-in to form a capacity expansion server comprises the following steps: acquiring a new server by the server acquisition program through an API (application program interface); initializing the new server through the deployment plug-in to form a capacity expansion server; detecting whether the capacity expansion server operates normally or not through the test plug-in, and acquiring server information of the capacity expansion server if the capacity expansion server operates normally; and adding the server information into a preset front-end server configuration and the capacity expansion judging component to complete the deployment of the capacity expansion server.
2. The method for dynamically expanding capacity of a server according to claim 1, wherein the step of presetting the back-end management program comprises the steps of:
creating a management program in the background of the server;
sending a post request or a get request to the back-end management program through the test case to obtain a test result;
comparing the test result with a preset comparison interval, and taking the management program as a back-end management program if the test result is in the comparison interval.
3. The method for dynamically expanding capacity of a server according to claim 1, wherein the step of determining, by the backend management program, whether the capacity expansion of the server is required based on the data traffic comprises:
Acquiring the flow number of the data flow through a preset statistics plug-in;
Acquiring the hardware utilization rate of the server, and acquiring the load number of the server at least based on the hardware utilization rate and the flow number through an intelligent algorithm in the back-end management program;
Judging whether the load number exceeds a preset critical value, if so, overload the server and capacity expansion of the server are needed, and if not, the server is not overloaded and capacity expansion of the server is not needed.
4. The method for dynamically expanding the capacity of the server according to claim 1, wherein if the capacity of the server is required to be expanded, smoothly introducing the data traffic into the capacity expansion server through a preset drainage plug-in comprises:
If the capacity of the server is required to be expanded, the data traffic is led to the capacity expansion server through a preset flow-leading plug-in unit at the front end according to a preset category or classification; wherein the drainage step comprises:
And starting a new process by the main process of the drainage plug-in, and loading new configuration in the new process to respond to the user request, and simultaneously sending an instruction of not receiving the user request of a specific category to the old process in the server through the main process.
5. The method for dynamically expanding capacity of a server according to claim 4, wherein determining a traffic base based on the data traffic and the capacity expansion traffic in the capacity expansion server, and if the traffic base is lower than a preset offline threshold, disconnecting the capacity expansion server comprises:
The flow in the capacity expansion server is monitored in real time through a preset capacity expansion monitoring plug-in unit so as to obtain capacity expansion flow;
determining a flow base by combining the capacity expansion flow and the data flow acquired in real time by the flow statistics plug-in;
comparing the flow base with a preset offline threshold, and if the flow base is lower than the offline threshold, disconnecting the capacity expansion server; wherein, the step of downloading includes:
and sending an instruction for receiving a user request of a specific category to an old process in the server through the main process of the drainage plug-in, and closing the new process by the main process of the drainage plug-in so as to finish the offline of the capacity expansion server.
6. A server dynamic capacity expansion device, the device comprising:
the server acquisition unit is used for connecting the pre-established flow statistics plug-in and a request receiving end of the server, establishing a communication relationship between the flow statistics plug-in and a preset back-end management program, and acquiring the capacity expansion server through the back-end management program; comprising the following steps:
Deploying the pre-created statistical script in the server to form a flow statistical plug-in; connecting the flow statistics plug-in with a request receiving end of a server, and establishing a communication relationship between the flow statistics plug-in and a preset back-end management program; the back-end management program at least comprises a server acquisition program, a deployment plug-in, a test plug-in and a capacity expansion judging component; acquiring a new server through the server acquisition program, and initializing the new server through the deployment plug-in to form a capacity expansion server;
The capacity expansion judging unit is used for acquiring the data flow of the request receiving end in real time through the flow statistics plug-in unit, and judging whether the capacity expansion of the server is required or not based on the data flow through an intelligent algorithm in the back-end management program; the flow statistics plug-in comprises an Nginx+Lua script;
the capacity expansion online unit is used for smoothly leading the data flow into the capacity expansion server through a preset drainage plug-in unit if the capacity of the server needs to be expanded;
The capacity expansion offline unit is used for determining a flow base on the basis of the data flow and the capacity expansion flow in the capacity expansion server, and if the flow base is lower than a preset offline threshold, the capacity expansion server is offline;
The step of obtaining a new server through the server obtaining program and initializing the new server through the deployment plug-in to form a capacity expansion server comprises the following steps: acquiring a new server by the server acquisition program through an API (application program interface); initializing the new server through the deployment plug-in to form a capacity expansion server; detecting whether the capacity expansion server operates normally or not through the test plug-in, and acquiring server information of the capacity expansion server if the capacity expansion server operates normally; and adding the server information into a preset front-end server configuration and the capacity expansion judging component to complete the deployment of the capacity expansion server.
7. An electronic device, the electronic device comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the steps in the server dynamic capacity expansion method according to any one of claims 1 to 5.
8. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the server dynamic capacity expansion method according to any of claims 1 to 5.
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