CN113254204A - Method, system and equipment for controlling soft load balancer - Google Patents
Method, system and equipment for controlling soft load balancer Download PDFInfo
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- CN113254204A CN113254204A CN202110565014.8A CN202110565014A CN113254204A CN 113254204 A CN113254204 A CN 113254204A CN 202110565014 A CN202110565014 A CN 202110565014A CN 113254204 A CN113254204 A CN 113254204A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
Abstract
The application discloses a method for controlling a soft load balancer, which comprises the steps of determining the soft load balancer to be controlled and a corresponding REST service interface according to an input user request; calling a corresponding control instruction through an REST service interface; and sending the control command to a cluster actuator of a host where the soft load balancer to be controlled is located, so that the cluster actuator executes the control command to control the load balancer to be controlled. The method and the system remotely control the starting, stopping and configuration of the soft load balancer through the domain management function of the application server, realize the overall control of the soft load balancer, are convenient to maintain and manage; meanwhile, the problem of user access authority is solved, higher-level authority is not needed, and the safety of the server is greatly improved. The application also provides a system, equipment and readable storage medium for controlling the soft load balancer, and the system, the equipment and the readable storage medium have the beneficial effects.
Description
Technical Field
The present application relates to the field of soft load balancer control, and in particular, to a method, a system, a device, and a readable storage medium for controlling a soft load balancer.
Background
With the rapid development of network technology, distributed systems are widely applied from traditional data centers to emerging technical fields such as cloud computing and big data. In a distributed application system, a load balancing technique has been widely used due to its advantages in improving the reliability and efficiency of the system, improving the scalability of the system, and improving the resource utilization rate.
In a large service system, the soft load balancers are distributed on different servers, however, it is crucial to integrally control the soft load balancers in the local area network, because the soft load balancers distribute client requests to different servers, if a certain load balancer stops or a process disappears, the performance of the whole service system is directly affected, and the phenomena of request blocking and slow client response may occur. To solve this problem, the load balancer needs to be managed and controlled as a whole.
However, the current control scheme of the soft load balancer is either cumbersome to maintain and not easy to manage, or requires a higher level of authority, which makes the control scheme of the soft load balancer complex.
Therefore, how to simply and conveniently control the soft load balancer is a technical problem to be solved by those skilled in the art at present.
Disclosure of Invention
The invention aims to provide a method, a system, equipment and a readable storage medium for controlling a soft load balancer, which are used for simply and conveniently controlling the soft load balancer.
In order to solve the above technical problem, the present application provides a method for controlling a soft load balancer, where the method includes:
determining a soft load balancer to be controlled and a corresponding REST service interface according to an input user request;
calling a corresponding control instruction through the REST service interface;
and sending the control command to a cluster actuator of a host where the soft load balancer to be controlled is located, so that the cluster actuator executes the control command to control the load balancer to be controlled.
Optionally, sending the control command to a cluster executor of a host where the soft load balancer to be controlled is located includes:
judging whether the soft load balancer to be controlled is a local soft load balancer or not;
if so, executing a local command implementation class to send the control command to a local cluster executor;
and if not, executing a remote command implementation class to send the control command to a cluster executor of a host where the soft load balancer to be controlled is located.
Optionally, before executing the remote command implementation class to send the control command to the cluster executor of the host where the soft load balancer to be controlled is located, the method further includes:
judging whether a remote instance access port is available;
if so, executing the remote command implementation class to send the control command to a cluster executor of a host where the soft load balancer to be controlled is located;
if not, sending warning information that the remote instance cannot be connected.
Optionally, the executing the local command implementation class to send the control command to the local cluster executor includes:
and creating the cluster actuator through the command execution implementation class node, and calling an execute method of the cluster actuator to execute the control command.
Optionally, before calling the corresponding control instruction through the REST service interface, the method further includes:
and configuring the command implementation layer according to the input configuration file to obtain the specific logic implementation of each control instruction.
Optionally, after sending the control command to the cluster executor of the host where the soft load balancer to be controlled is located, so that the cluster executor executes the control command to control the load balancer to be controlled, the method further includes:
JSON string processing is carried out on the command return data to obtain corresponding JSON string information;
and outputting the JSON string information through a front-end page.
Optionally, the control instruction includes at least one of a creation instruction, a start/stop instruction, a configuration instruction, and a deletion instruction.
The present application further provides a system for soft load balancer control, the system comprising:
the determining module is used for determining the soft load balancer to be controlled and the corresponding REST service interface according to the input user request;
the calling module is used for calling the corresponding control instruction through the REST service interface;
and the sending module is used for sending the control command to a cluster actuator of a host where the soft load balancer to be controlled is located, so that the cluster actuator executes the control command to control the load balancer to be controlled.
The present application also provides a soft load balancer control device, including:
a memory for storing a computer program;
a processor for implementing the steps of the method of soft load balancer control as claimed in any one of the above when executing the computer program.
The present application also provides a readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the method of soft load balancer control as claimed in any one of the preceding claims.
The application provides a method for controlling a soft load balancer, which comprises the following steps: determining a soft load balancer to be controlled and a corresponding REST service interface according to an input user request; calling a corresponding control instruction through an REST service interface; and sending the control command to a cluster actuator of a host where the soft load balancer to be controlled is located, so that the cluster actuator executes the control command to control the load balancer to be controlled.
According to the technical scheme, the soft load balancer to be controlled and the corresponding REST service interface are determined according to the input user request, the corresponding control instruction is called through the REST service interface, and finally the control instruction is sent to the cluster actuator of the host where the soft load balancer to be controlled is located, so that the cluster actuator executes the control instruction to control the soft load balancer to be controlled; meanwhile, the problem of user access authority is solved, higher-level authority is not needed, and the safety of the server is greatly improved. The present application also provides a system, a device and a readable storage medium for controlling a soft load balancer, which have the above beneficial effects and are not described herein again.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for controlling a soft load balancer according to an embodiment of the present disclosure;
fig. 2 is a schematic design diagram of a remote monitoring soft load balancer provided in an embodiment of the present application;
fig. 3 is a block diagram of a system for controlling a soft load balancer according to an embodiment of the present disclosure;
fig. 4 is a block diagram of a soft load balancer control device according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a method, a system, equipment and a readable storage medium for controlling a soft load balancer, which are used for simply and conveniently controlling the soft load balancer.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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.
In a large service system, the soft load balancers are distributed on different servers, however, it is crucial to integrally control the soft load balancers in the local area network, because the soft load balancers distribute client requests to different servers, if a certain load balancer stops or a process disappears, the performance of the whole service system is directly affected, and the phenomena of request blocking and slow client response may occur. To solve this problem, the load balancer needs to be managed and controlled as a whole.
At present, the start and stop of the soft load balancer can be managed by executing a start and stop script locally, but the management mode has the defects of complex maintenance and inconvenience for management. It is necessary to enter into each server installed with a soft load balancer for operation. In addition, another remote control mode needs to be managed in an SSH mode, and the determination of this mode requires that the user name and password of the server be known for operation, but considering the requirement for the security of the server in a large service system, some users do not have permission to access in the SSH mode, which results in a complex control scheme for the soft load balancer. The present application therefore provides a method for soft load balancer control to solve the above problems.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for controlling a soft load balancer according to an embodiment of the present disclosure.
The method specifically comprises the following steps:
s101: determining a soft load balancer to be controlled and a corresponding REST service interface according to an input user request;
in a specific embodiment, the method can realize the remote control of the soft load balancer through the domain management function of the domestic middleware application server, and the domain manager can remotely manage the soft load balancer through the nodes, wherein the method comprises the steps of starting and stopping the load balancer and configuration modification, and the configuration modification mainly comprises the increase and decrease of instances in the load balancer, the configuration of a load balancer distribution strategy and the monitoring of the running state of the load balancer. In this step, when the domain manager receives an input user request, the domain manager firstly analyzes the user request to determine a soft load balancer to be controlled and an REST service interface corresponding to the user request;
the domain manager as a unit manages a group of associated server resources, a domain can manage one or more independent servers, the independent servers share a set of common configuration, after a user sends a request to the server, the domain manager processes the request sent by the user, a Rest service interface is provided in the domain manager, and the management of the soft load balancer is realized through the Rest interface.
In a specific embodiment, the domain manager provided herein provides a load balancer management Rest service, which may specifically be implemented by performing the following steps:
(1) a user requests to manage the remote instance load balancer, wherein the remote instance load balancer comprises creation, start and stop, configuration and deletion;
(2) determining whether the access port of the remote instance is available, if the connection is overtime, warning that the remote instance cannot be connected, and if the connection is available, carrying out the next step;
(3) the domain manager has a command execution implementation type CommandRunnerImpl, if the current instance is the domain manager, a cluster executor is created, and an execute method of the executor is called to execute the command on the environment conforming to the target instance;
(4) after the command is successfully executed, information is returned to a serviceImpl layer of MVC, and JSON string processing is carried out on command return data;
(5) JSON string information is returned to the Controller layer, and the front-end page receives the processing information so as to be displayed by the user conveniently.
S102: calling a corresponding control instruction through an REST service interface;
in a specific embodiment, the control instruction mentioned here includes at least one of a create instruction, a start/stop instruction, a configuration instruction, and a delete instruction, and after determining the soft load balancer to be controlled and the corresponding REST service interface, the application calls the corresponding control instruction through the REST service interface, and sends the control instruction to the cluster executor of the host where the soft load balancer to be controlled is located, so that the cluster executor executes the control instruction to control the load balancer to be controlled, thereby implementing overall control of the soft load balancer.
In a specific embodiment, before calling a corresponding control instruction through the REST service interface, the following steps may be further performed to complete logic implementation of each control instruction:
and configuring the command implementation layer according to the input configuration file to obtain the specific logic implementation of each control instruction.
Referring to fig. 2, fig. 2 is a schematic diagram of a design of a remote monitoring soft load balancer according to an embodiment of the present application, as shown in fig. 2, which mainly includes three layers: the system comprises a command class layer, a Rest command issuing layer and a front-end interface Spring MVC layer, wherein:
command class implementation layer: the method is used for realizing the specific logic realization of starting, stopping, state and configuration of the soft load balancer;
rest command issuing layer: the system is used for realizing the issue of the Rest service and providing a Rest interface;
spring MVC layer: the service layer is used for calling a Rest interface and returning interface information to realize the specific implementation; the Model layer is a specific entity class of the load balancer, for example, defining name, path, state, configInfo, and the like; the controller layer defines the request type (Get, Post) and passes the Rest interface data handling information to the front-end page.
S103: and sending the control command to a cluster actuator of a host where the soft load balancer to be controlled is located, so that the cluster actuator executes the control command to control the load balancer to be controlled.
The soft load balancer is provided with an execution script, and the soft load balancer can be controlled by remotely sending a start-stop command, acquiring a state command and reading a configuration file for modification. For example, a common soft load balancer Nginx, the software start is started by executing a/Nginx command, stopped by executing a/Nginx-sstop command, and reloaded by executing a/Nginx reload command, and the application can use codes to realize the start of the Nginx command.
In a specific embodiment, since the soft load balancer may be located on the same host as the domain manager, or may be located on a different host, the control command may also be sent to the different host by executing different implementation classes when sending the command, that is, the cluster executor that sends the control command to the host where the soft load balancer to be controlled is located mentioned here may specifically be:
judging whether the soft load balancer to be controlled is a local soft load balancer or not;
if yes, executing a local command implementation class to send the control command to a local cluster executor;
and if not, executing the remote command implementation class to send the control command to the cluster executor of the host where the soft load balancer to be controlled is located.
In a specific embodiment, before executing the remote command implementation class to send the control command to the cluster executor of the host where the soft load balancer to be controlled is located, the following steps may be further performed to determine whether the remote instance access port is available:
judging whether a remote instance access port is available;
if so, executing a remote command implementation class to send the control command to a cluster executor of a host where the soft load balancer to be controlled is located;
if not, sending warning information that the remote instance cannot be connected.
Further, the executing the local command implementation class mentioned herein to send the control command to the local cluster executor may specifically be:
and creating a cluster actuator through the class node by command execution, and calling an execute method of the cluster actuator to execute a control command.
In a specific embodiment, after sending the control command to the cluster executor of the host where the soft load balancer to be controlled is located, so that the cluster executor executes the control command to control the load balancer to be controlled, the following steps may be further performed to complete output of the returned data:
JSON string processing is carried out on the command return data to obtain corresponding JSON string information;
and outputting JSON string information through a front-end page.
Based on the technical scheme, the method for controlling the soft load balancer determines the soft load balancer to be controlled and the corresponding REST service interface according to the input user request, calls the corresponding control instruction through the REST service interface, and finally sends the control instruction to the cluster executor of the host where the soft load balancer to be controlled is located, so that the cluster executor executes the control instruction to control the soft load balancer to be controlled; meanwhile, the problem of user access authority is solved, higher-level authority is not needed, and the safety of the server is greatly improved.
Referring to fig. 3, fig. 3 is a block diagram of a system for controlling a soft load balancer according to an embodiment of the present disclosure.
The system may include:
a determining module 100, configured to determine, according to an input user request, a soft load balancer to be controlled and a corresponding REST service interface;
the calling module 200 is used for calling a corresponding control instruction through an REST service interface;
the sending module 300 is configured to send the control command to a cluster executor of a host where the soft load balancer to be controlled is located, so that the cluster executor executes the control command to control the load balancer to be controlled.
On the basis of the foregoing embodiments, in a specific embodiment, the sending module 300 may include:
the first judgment submodule is used for judging whether the soft load balancer to be controlled is a local soft load balancer or not;
the first execution sub-module is used for executing the local command realization class to send the control command to the local cluster executor when the soft load balancer to be controlled is the local soft load balancer;
and the second execution sub-module is used for executing the remote command realization class to send the control command to the cluster executor of the host where the soft load balancer to be controlled is located when the soft load balancer to be controlled is not the local soft load balancer.
On the basis of the foregoing embodiment, in a specific embodiment, the sending module 300 may further include:
the second judgment submodule is used for judging whether the remote instance access port is available or not;
and the sending submodule is used for sending warning information that the remote instance cannot be connected when the remote instance access port is unavailable.
On the basis of the foregoing embodiment, in a specific embodiment, the first execution submodule may include:
and the creating unit is used for creating the cluster actuator through the command execution implementation class node and calling an execute method of the cluster actuator to execute the control command.
On the basis of the above embodiment, in a specific embodiment, the system may further include:
and the configuration module is used for configuring the command implementation layer according to the input configuration file to obtain the specific logic implementation of each control instruction.
On the basis of the above embodiment, in a specific embodiment, the system may further include:
the processing module is used for carrying out JSON string processing on the command return data to obtain corresponding JSON string information;
and the output module is used for outputting the JSON string information through the front-end page.
On the basis of the foregoing embodiments, in a specific embodiment, the control instruction may specifically include at least one of a create instruction, a start/stop instruction, a configuration instruction, and a delete instruction.
Since the embodiment of the system part corresponds to the embodiment of the method part, the embodiment of the system part is described with reference to the embodiment of the method part, and is not repeated here.
Referring to fig. 4, fig. 4 is a structural diagram of a soft load balancer control device according to an embodiment of the present application.
The soft load balancer control device 400 may vary significantly due to different configurations or capabilities and may include one or more processors (CPUs) 422 (e.g., one or more processors) and memory 432, one or more storage media 430 (e.g., one or more mass storage devices) storing applications 442 or data 444. Wherein the memory 432 and storage medium 430 may be transient or persistent storage. The program stored on the storage medium 430 may include one or more modules (not shown), each of which may include a sequence of instruction operations for the device. Still further, processor 422 may be configured to communicate with storage medium 430 to execute a series of instruction operations in storage medium 430 on soft load balancer control device 400.
The soft load balancer control device 400 may also include one or more power supplies 424, one or more wired or wireless network interfaces 450, one or more input-output interfaces 458, and/or one or more operating systems 441, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
The steps in the method of soft load balancer control described above with reference to fig. 1 to 2 are implemented by the soft load balancer control device based on the structure shown in fig. 4.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the module described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a division of logical functions, and an actual implementation may have another division, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a function calling device, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
A method, system, device and readable storage medium for soft load balancer control provided by the present application are described above in detail. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method of soft load balancer control, the method comprising:
determining a soft load balancer to be controlled and a corresponding REST service interface according to an input user request;
calling a corresponding control instruction through the REST service interface;
and sending the control command to a cluster actuator of a host where the soft load balancer to be controlled is located, so that the cluster actuator executes the control command to control the load balancer to be controlled.
2. The method according to claim 1, wherein sending the control command to a cluster executor of a host where the soft load balancer to be controlled is located comprises:
judging whether the soft load balancer to be controlled is a local soft load balancer or not;
if so, executing a local command implementation class to send the control command to a local cluster executor;
and if not, executing a remote command implementation class to send the control command to a cluster executor of a host where the soft load balancer to be controlled is located.
3. The method according to claim 2, before executing a remote command implementation class to send the control command to a cluster executor of a host where the soft load balancer to be controlled is located, further comprising:
judging whether a remote instance access port is available;
if so, executing the remote command implementation class to send the control command to a cluster executor of a host where the soft load balancer to be controlled is located;
if not, sending warning information that the remote instance cannot be connected.
4. The method of claim 2, wherein executing the local command implementation class to send the control command to a local cluster executor comprises:
and creating the cluster actuator through the command execution implementation class node, and calling an execute method of the cluster actuator to execute the control command.
5. The method of claim 1, further comprising, prior to invoking the corresponding control instruction via the REST service interface:
and configuring the command implementation layer according to the input configuration file to obtain the specific logic implementation of each control instruction.
6. The method according to claim 1, after sending the control command to a cluster executor of a host where the soft load balancer to be controlled is located, so that the cluster executor executes the control command to control the load balancer to be controlled, further comprising:
JSON string processing is carried out on the command return data to obtain corresponding JSON string information;
and outputting the JSON string information through a front-end page.
7. The method of claim 1, wherein the control instructions comprise at least one of create instructions, start stop instructions, configuration instructions, delete instructions.
8. A system for soft load balancer control, comprising:
the determining module is used for determining the soft load balancer to be controlled and the corresponding REST service interface according to the input user request;
the calling module is used for calling the corresponding control instruction through the REST service interface;
and the sending module is used for sending the control command to a cluster actuator of a host where the soft load balancer to be controlled is located, so that the cluster actuator executes the control command to control the load balancer to be controlled.
9. A soft load balancer control device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method of soft load balancer control as claimed in any one of claims 1 to 7 when executing the computer program.
10. A readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of soft load balancer control according to any one of claims 1 to 7.
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