CN115952003A - Method, device, equipment and storage medium for cluster server load balancing - Google Patents
Method, device, equipment and storage medium for cluster server load balancingDownload PDFInfo
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Abstract
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for load balancing of a cluster server.
Background
In the development of programs, as the requirements of many business scenarios on concurrency and cluster services are more and more important, especially under the condition that the concurrent access amount of a business system is relatively high, the response to support concurrency is higher and higher, and all business requests need to be responded in time and returned to businesses. The individual computing devices in a cluster system are often referred to as nodes, and are typically connected by a network, although other means of connection are also permissible. Clustered computers are commonly used to improve the computational speed and reliability of individual computers. Whether the cloud is a public cloud or a private cloud, the cloud service provider provides a large amount of computing capacity to the outside in a manner that a plurality of servers share computing requests together. With the increase of the use of clients and business scenes, the importance of the use of the business is higher and higher, but the performance of the server devices is different, how to reasonably distribute a large number of computing requests to each server in the cluster and make the balance of computing load in the server group is a problem which must be faced when the cluster is used for providing computing services.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, an apparatus, a device, and a storage medium for load balancing of a cluster server, so as to better balance loads of servers in a cluster and flexibly configure computing resources.
In a first aspect, an embodiment of the present application provides a method for load balancing of a cluster server, where the method includes:
acquiring the computing capacity of each server in the cluster;
setting a configuration file for each server according to the operational capability, wherein the configuration file comprises a serial number, a service name and a service weight value, the serial number corresponds to the service weight value one by one, the service number corresponds to the service name one by one, and the service number and/or the service name corresponds to at least one serial number;
testing the cluster by using the test service request to obtain a test result;
and adjusting the configuration file according to the test result.
Optionally, in all servers in the cluster, a sum of service weight values corresponding to the same service number or the same service name is 1.
Optionally, the configuration file further includes server IP addresses, and the server IP addresses correspond to the servers one to one.
Optionally, the testing the cluster by using the test service request to obtain a test result includes:
determining the service name and/or the service number corresponding to the test service request;
distributing the test service request according to the weight value of each server in the cluster aiming at the service name and/or the service number to obtain a distribution result;
and sending the test service request to a server corresponding to the server IP address according to the distribution result and the server IP address to obtain the test result.
Optionally, the configuration file further includes a special filtering condition, where the special filtering condition includes a region, a customer number, and/or an account number.
Optionally, the testing the cluster by using the test service request to obtain a test result includes:
determining the special filtering condition, the service name and/or the service number corresponding to the test service request;
distributing the test service request according to the special filtering condition of each server in the cluster and the weight value aiming at the service name and/or the service number to obtain a distribution result;
and sending the test service request to a server corresponding to the server IP address according to the distribution result and the server IP address to obtain the test result.
In a second aspect, an embodiment of the present application provides an apparatus for load balancing a cluster server, where the apparatus includes:
the acquisition module is used for acquiring the computing capacity of each server in the cluster;
the setting module is used for setting a configuration file for each server according to the operational capability, wherein the configuration file comprises a serial number, a service name and a service weight value, the serial number corresponds to the service weight value one by one, the service number corresponds to the service name one by one, and the service number and/or the service name at least correspond to one serial number;
the test module is used for testing the cluster by using the test service request to obtain a test result;
and the adjusting module is used for adjusting the configuration file according to the test result.
Optionally, in all the servers in the cluster, a sum of service weight values corresponding to the same service number or the same service name is 1.
Optionally, the configuration file further includes server IP addresses, and the server IP addresses correspond to the servers one to one.
Optionally, the test module is specifically configured to:
determining the service name and/or the service number corresponding to the test service request;
distributing the test service request according to the weight value of each server in the cluster aiming at the service name and/or the service number to obtain a distribution result;
and sending the test service request to a server corresponding to the server IP address according to the distribution result and the server IP address to obtain the test result.
Optionally, the configuration file further includes a special filtering condition, where the special filtering condition includes a region, a customer number, and/or an account number.
Optionally, the test module is specifically configured to:
determining the special filtering condition, the service name and/or the service number corresponding to the test service request;
distributing the test service request according to the special filtering condition of each server in the cluster and the weight value aiming at the service name and/or the service number to obtain a distribution result;
and sending the test service request to a server corresponding to the server IP address according to the distribution result and the server IP address to obtain the test result.
In a third aspect, an embodiment of the present application provides an apparatus, where the apparatus includes a memory and a processor, where the memory is configured to store instructions or codes, and the processor is configured to execute the instructions or codes, so as to cause the apparatus to perform the method for load balancing of cluster servers in any one of the foregoing first aspects.
In a fourth aspect, an embodiment of the present application provides a computer storage medium, where codes are stored in the computer storage medium, and when the codes are executed, an apparatus that executes the codes implements the method for load balancing of cluster servers described in any one of the foregoing first aspects.
The embodiment of the application provides a method, a device, equipment and a storage medium for cluster server load balancing. When the method is executed, the operational capacity of each server in the cluster is obtained, then a configuration file is set for each server according to the operational capacity of each server, the cluster is tested by using the test service request, and then the configuration files of the servers in the cluster are adjusted according to the test result to obtain a final cluster. Therefore, the configuration file is set for each server according to the computing capacity, the service requests needing to be processed can be distributed according to the configuration files of the servers, the computing resources of the servers are fully scheduled, the loads of the servers are balanced, and the computing resources are flexibly configured.
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In order to more clearly illustrate the technical solutions in the embodiments or the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for load balancing of a cluster server according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a device for load balancing of a cluster server according to an embodiment of the present application.
Detailed Description
At present, aiming at load balancing strategies and special settings among servers in a cluster, an average distribution strategy is mainly adopted. But. The method does not consider the actual hardware configuration information condition of each server, meanwhile, special requests cannot be calculated and processed in a targeted mode, if the hardware configuration of a certain machine is low, or filtering distribution needs to be carried out aiming at certain scenes, so that the effect cannot be achieved by a balancing strategy commonly used in the industry, the universality and the flexibility are poor, and particularly, the influence on important request side distribution scene requirements is large. With the increase of service systems and the variety of services, the services need to be distributed to different servers for processing according to the importance of the service types so as to achieve a quick response effect, so that the operation of a large number of classified balancing strategies cannot meet the requirements of the old balancing strategy operation mode, the risk is relatively high in the operation process, and the efficiency is not very high. Thus, the processing logic is not flexible enough and the universality is relatively poor.
In view of the foregoing technical problems, the present application provides a method, an apparatus, a device, and a storage medium for load balancing of a cluster server. By the method, the configuration file can be set for each server according to the operational capability, when the service request of the user is received, the service request can be distributed according to the configuration file of each server, the computing resources of each server are fully utilized, the load of the server is balanced, and the computing resources are flexibly configured.
It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart of a method for load balancing of a cluster server according to an embodiment of the present application, where the method includes:
s101: and acquiring the computing capacity of each server in the cluster.
The computing power is used to measure the speed and accuracy of the server processing task. Specifically, the computation capability may be an inherent attribute of the server, such as: the core processor core number, the memory size, the hard disk size, the bandwidth and the like; the calculation capability can also be calculated by the historical use data of the server, such as: and calculating the computing capacity of the server according to the using times, the idle time, the request failure rate and the average response time of the server.
S102: and setting a configuration file for each server according to the computing capacity.
The configuration file comprises a serial number, a service name and a service weight value. The configuration file can be stored in each corresponding server or can be stored in a cloud terminal; of course, when the number of servers is large, the servers can be stored in a database code table form, and query efficiency can be improved when query is used.
In the configuration file, the service number and the service name are used to distinguish the type and content of the service request, for example: and if the service requests are login requests, transfer requests and query requests, the service number and the service name corresponding to the login requests are 0001 and login, the service number and the service name corresponding to the transfer requests are 0002 and transfer, and the service number and the service name corresponding to the query requests are 0003 and query. The service number and the service name are in one-to-one correspondence. The sequence number is used to distinguish different computation paths where the server processes the same type of service request, for example: two login requests can be processed in the server at the same time, and if the serial number of a calculation path for processing the first login request is 01, and the serial number of a calculation path for processing the second login request is 02, the calculation paths for processing the two login requests and corresponding service weight values can be distinguished through the serial numbers. It is easily understood that one type of service request or a plurality of service requests of the same type can be processed in the same server, i.e. the service number and/or the service name corresponds to at least one sequence number. The service weight value is used to indicate the priority of the server for processing the service request, and two computation paths for processing the login request may be included in the same server, but the priorities of the two computation paths may be the same or different, that is, the service weight values may be the same or different. The serial numbers correspond to the service weight values one by one, and the values of the service weight values are between 0 and 1. For example: supposing that the server a comprises two calculation paths for processing the login request, wherein the sequence numbers corresponding to the two calculation paths are 01 and 02, the service weight value corresponding to the calculation path with the sequence number of 01 is 0.6, and the service weight value corresponding to the calculation path with the sequence number of 02 is 0.4, when the server a receives 1 login request, the server a preferentially uses the calculation path with the sequence number of 01 and the service weight value of 0.6 to process the login request; and if the service weight values of the two calculation paths are the same and are both 0.5, processing the login request by randomly utilizing any calculation path.
In all servers in the same cluster, the sum of the service weight values corresponding to the same service number or the same service name is 1. For example: the cluster comprises a server A and a server B, wherein the server A comprises two calculation paths for processing login requests, the corresponding service weight values are 0.2 and 0.4, the server B comprises two calculation paths for processing login requests, and the corresponding service weight values are 0.1 and 0.3.
In a possible implementation manner, the configuration file further includes server IP addresses, and the server IP addresses correspond to the servers one to one.
The server IP address is set in a configuration file so that the service request is transmitted to the corresponding server according to the server IP address.
In one possible implementation, the configuration file further includes special filter conditions including a region, a customer number, and/or an account number.
By setting special filter conditions, certain servers can be specified to handle specific service requests. The special filtering conditions comprise regions, client numbers and/or account numbers, wherein the regions are regions where service requests processed by the server are sent, such as north China or south China; the client number and account number are used to indicate that the server is handling service requests from a given user. In some cases, the server in the north china may be configured to process the service request from the north china, the server in the south china may be configured to process the service request from the south china, or the server with a stronger computing power may be configured to process the service request of the important client.
By setting special filtering conditions, service requests can be distributed more flexibly, and computing resources of servers in the cluster are fully scheduled.
In addition, after the configuration file is set for each server, the configuration file may also be checked, for example: checking whether the serial number is repeated, whether the service number is a number and whether the IP address format of the server is correct. The stability of the operation of the server can be improved by checking the configuration file, and the problem of service request distribution caused by configuration file errors is avoided.
S103: and testing the cluster by using the test service request to obtain a test result.
After the configuration file is set, the test service request can be sent to the cluster to test whether the configuration file of each server in the cluster is reasonable. The test service request may be one or more. And after receiving the test service request, distributing according to the configuration files of the servers to obtain a test result.
Example (c): the method comprises the steps of receiving 100 login requests, wherein a cluster comprises a server A, a server B and a server C, all three servers have a calculation path for processing the login requests, the service weight corresponding to the calculation path for processing the login requests in the server A is 0.5, the service weight corresponding to the calculation path for processing the login requests in the server B is 0.3, and the service weight corresponding to the calculation path for processing the login requests in the server C is 0.2. According to the configuration file, 50 login requests should be sent to server a, 30 login requests to server B, and 20 login requests to server C.
It should be noted that, in the embodiment of the present application, a source and a type of the test service request are not specifically limited, and data constructed by a technician may be used as the test service request, or corresponding data in the starting database may be used as the test service request. Preferably, the test service request may be historical data in an actual production and use process, the historical data includes an actual service request which has been correctly processed, and the cluster is tested by using the historical data in the actual production and use process as the test service request, so that the cluster can be more adapted to an actual application scenario, and poor actual results of the finally obtained cluster due to errors or errors in the test service request are avoided.
In a possible implementation manner, the testing the cluster by using the test service request to obtain a test result includes:
determining the service name and/or the service number corresponding to the test service request;
distributing the test service request according to the weight value of each server in the cluster aiming at the service name and/or the service number to obtain a distribution result;
and sending the test service request to a server corresponding to the server IP address according to the distribution result and the server IP address to obtain the test result.
After receiving the test service request, determining a service name and/or a service number corresponding to the test service request, then determining which servers in the cluster can process the test service request according to the service name and/or the service number, then distributing the test service request according to a service weight value in a configuration file of the server capable of processing the test service request to obtain a distribution result, and finally sending the test service request to the corresponding server according to the distribution result and a server IP address in the configuration file of the server capable of processing the test service request to obtain the test result.
Through the test process, whether the configuration files of the servers in the cluster are reasonable or not can be effectively tested, so that the purposes of fully utilizing the computing resources of all the servers, balancing the loads of the servers and flexibly configuring the computing resources are achieved.
In a possible implementation manner, the testing the cluster by using the test service request to obtain a test result includes:
determining the special filtering condition, the service name and/or the service number corresponding to the test service request;
distributing the test service request according to the special filtering condition of each server in the cluster and the weight value aiming at the service name and/or the service number to obtain a distribution result;
and sending the test service request to a server corresponding to the server IP address according to the distribution result and the server IP address to obtain the test result.
When the configuration file comprises the special filtering conditions, the special filtering conditions corresponding to the test service request are determined besides the service name and/or the service number corresponding to the test service request, the server capable of processing the test service request is further determined and distributed to obtain a distribution result, and finally the test service request is sent to the corresponding server according to the distribution result and the server IP address in the configuration file of the server capable of processing the test service request to obtain the test result.
By setting special filtering conditions in the configuration file, the test service request can be further distributed to the adaptive servers for processing, the computing resources of all the servers are better utilized, the load of the servers is balanced, and the purpose of flexibly configuring the computing resources is achieved.
S104: and adjusting the configuration file according to the test result.
After the test result is obtained, whether the configuration files of all the servers in the cluster are reasonable or not can be determined according to the test result, and if the configuration files are not reasonable, the configuration files are adjusted according to the test result.
Take over the example in step S103 above: if the test result is that the server a receives 48 login requests, the server B receives 31 login requests, the server C receives 21 login requests, and the test result does not meet the expected effect, the configuration file is adjusted according to the test result, the service weight corresponding to the calculation path for processing the login requests in the server a is 0.48, the service weight corresponding to the calculation path for processing the login requests in the server B is 0.31, and the service weight corresponding to the calculation path for processing the login requests in the server C is 0.21, so that the final configuration file is obtained.
The embodiment of the application provides a method for load balancing of a cluster server. When the method is executed, the operational capacity of each server in the cluster is obtained, then a configuration file is set for each server according to the operational capacity of each server, the cluster is tested by using the test service request, and then the configuration files of the servers in the cluster are adjusted according to the test result to obtain a final cluster. Therefore, the configuration file is set for each server according to the computing capacity, the service requests needing to be processed can be distributed according to the configuration file of each server, the computing resources of each server are fully scheduled, the load of the servers is balanced, and the computing resources are flexibly configured.
Based on the above specific implementation manners of the method for providing load balancing of the cluster server in the embodiments of the present application, the present application also provides a corresponding apparatus. The device provided by the embodiment of the present application will be described in terms of functional modularity.
Referring to fig. 2, fig. 2 is a schematic structural diagram of anapparatus 200 for load balancing of cluster servers according to an embodiment of the present disclosure, where theapparatus 200 includes an obtainingmodule 201, asetting module 202, atesting module 203, and anadjusting module 204.
An obtainingmodule 201, configured to obtain computation capabilities of servers in a cluster;
asetting module 202, configured to set a configuration file for each server according to the operational capability, where the configuration file includes a serial number, a service name, and a service weight value, the serial number corresponds to the service weight value one to one, the service number corresponds to the service name one to one, and the service number and/or the service name corresponds to at least one of the serial numbers;
thetest module 203 is configured to test the cluster by using the test service request to obtain a test result;
and anadjusting module 204, configured to adjust the configuration file according to the test result.
In a possible implementation manner provided by the present application, in all servers in the cluster, a sum of service weight values corresponding to the same service number or the same service name is 1.
In a feasible implementation manner provided by the present application, the configuration file further includes a server IP address, and the server IP address corresponds to the server one to one.
In a feasible implementation manner provided by the present application, thetesting module 203 is specifically configured to:
determining the service name and/or the service number corresponding to the test service request;
distributing the test service request according to the weight value of each server in the cluster aiming at the service name and/or the service number to obtain a distribution result;
and sending the test service request to a server corresponding to the server IP address according to the distribution result and the server IP address to obtain the test result.
In a possible implementation manner provided by the present application, the configuration file further includes a special filtering condition, where the special filtering condition includes a region, a customer number, and/or an account number.
In a feasible implementation manner provided by the present application, thetesting module 203 is specifically configured to:
determining the special filtering condition, the service name and/or the service number corresponding to the test service request;
distributing the test service request according to the special filtering condition of each server in the cluster and the weight value aiming at the service name and/or the service number to obtain a distribution result;
and sending the test service request to a server corresponding to the server IP address according to the distribution result and the server IP address to obtain the test result.
The embodiment of the application provides a device for load balancing of cluster servers. The method comprises the steps of firstly obtaining the operational capacity of each server in a cluster, then setting a configuration file for each server according to the operational capacity of each server, testing the cluster by using a test service request, and further adjusting the configuration files of the servers in the cluster according to a test result to obtain a final cluster. Therefore, the configuration file is set for each server according to the computing capacity, the service requests needing to be processed can be distributed according to the configuration files of the servers, the computing resources of the servers are fully scheduled, the loads of the servers are balanced, and the computing resources are flexibly configured.
The embodiment of the application also provides corresponding equipment and a computer storage medium, which are used for realizing the scheme provided by the embodiment of the application.
The device includes a memory for storing instructions or codes and a processor for executing the instructions or codes, so that the device performs the method for load balancing of cluster servers according to any embodiment of the present application.
The computer storage medium has code stored therein, and when the code is executed, an apparatus for executing the code implements the method for load balancing of cluster servers according to any embodiment of the present application.
In the embodiments of the present application, the names "first" and "second" (if present) in the names "first" and "second" are used for name identification, and do not represent the first and second in sequence.
As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by software plus a general hardware platform. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a read-only memory (ROM)/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network communication device such as a router) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only an exemplary embodiment of the present application, and is not intended to limit the scope of the present application.
Claims (10)
1. A method for cluster server load balancing, the method comprising:
acquiring the computing capacity of each server in the cluster;
setting a configuration file for each server according to the operational capacity, wherein the configuration file comprises a serial number, a service name and a service weight value, the serial number corresponds to the service weight value one by one, the service number corresponds to the service name one by one, and the service number and/or the service name at least corresponds to one serial number;
testing the cluster by using the test service request to obtain a test result;
and adjusting the configuration file according to the test result.
2. The method according to claim 1, wherein a sum of service weight values corresponding to the same service number or the same service name in all servers in the cluster is 1.
3. The method for load balancing of cluster servers according to claim 1, wherein the configuration file further comprises server IP addresses, and the server IP addresses correspond to the servers one to one.
4. The method of claim 3, wherein the testing the cluster with the test service request to obtain a test result comprises:
determining the service name and/or the service number corresponding to the test service request;
distributing the test service request according to the weight value of each server in the cluster aiming at the service name and/or the service number to obtain a distribution result;
and sending the test service request to a server corresponding to the server IP address according to the distribution result and the server IP address to obtain the test result.
5. The method for load balancing of cluster servers according to claim 3, wherein the configuration file further comprises special filter conditions, and the special filter conditions comprise a region, a client number and/or an account number.
6. The method of claim 5, wherein the testing the cluster with the test service request to obtain a test result comprises:
determining the special filtering condition, the service name and/or the service number corresponding to the test service request;
distributing the test service request according to the special filtering condition of each server in the cluster and the weight value aiming at the service name and/or the service number to obtain a distribution result;
and sending the test service request to a server corresponding to the server IP address according to the distribution result and the server IP address to obtain the test result.
7. An apparatus for cluster server load balancing, the apparatus comprising:
the acquisition module is used for acquiring the computing capacity of each server in the cluster;
the setting module is used for setting a configuration file for each server according to the operational capability, wherein the configuration file comprises a serial number, a service name and a service weight value, the serial number corresponds to the service weight value one by one, the service number corresponds to the service name one by one, and the service number and/or the service name at least correspond to one serial number;
the test module is used for testing the cluster by using the test service request to obtain a test result;
and the adjusting module is used for adjusting the configuration file according to the test result.
8. The apparatus for load balancing between cluster servers according to claim 8, wherein a sum of service weight values corresponding to a same service number or a same service name in all servers in the cluster is 1.
9. A computer device, comprising: memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method of cluster server load balancing according to any one of claims 1 to 6 when executing the computer program.
10. A computer storage medium having stored therein instructions that, when run on a terminal device, cause the terminal device to perform the method of cluster server load balancing according to any one of claims 1-6.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116755889A (en)* | 2023-08-16 | 2023-09-15 | 北京国电通网络技术有限公司 | Data acceleration methods, devices and equipment applied to server cluster data interaction |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116755889A (en)* | 2023-08-16 | 2023-09-15 | 北京国电通网络技术有限公司 | Data acceleration methods, devices and equipment applied to server cluster data interaction |
| CN116755889B (en)* | 2023-08-16 | 2023-10-27 | 北京国电通网络技术有限公司 | Data acceleration method, device and equipment applied to server cluster data interaction |
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