CN113568750A - Load balancing method and device for intelligent park - Google Patents
Load balancing method and device for intelligent park Download PDFInfo
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- CN113568750A CN113568750A CN202110861932.5A CN202110861932A CN113568750A CN 113568750 A CN113568750 A CN 113568750A CN 202110861932 A CN202110861932 A CN 202110861932A CN 113568750 A CN113568750 A CN 113568750A
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- 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
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Abstract
The invention provides a load balancing method and a device for an intelligent park, which relate to the technical field of load balancing and the financial field, and the method comprises the following steps: acquiring original registration information of service providers of a plurality of registration centers, wherein the original registration information comprises a park to which the service provider belongs and a region to which the park belongs; determining the proportion of the number of the service providers contained in each park to the total number of the service providers according to the parks to which the service providers belong; and determining an optional park according to the proportion, and randomly selecting a service provider from a service provider list of the optional park to call the service. In the application, the proportion of providers of all access points after the Dubbo micro-service framework realizes multi-point access is considered, and the service consumers can realize a multi-park and multi-region load balancing strategy only by configuring a multi-registration center before integrating by using a multiple protocol and configuring the proportion threshold value.
Description
Technical Field
The application relates to the technical field of load balancing and the financial field, in particular to a load balancing method and device for an intelligent park.
Background
At present, when a service provider and a service consumer are applied to realize a distributed architecture based on a dubbo micro-service framework, zookeeper is generally used as a registration center, but the zookeeper registration center provides access to the outside through a domain name, and has defects due to technical problems of long connection, load balancing and the like, so that multiple sets of registration center cluster real addresses ip need to be manually configured and priorities need to be manually set in the application of the service provider and the service consumer, and high availability and load balancing during multi-park deployment are realized. However, the existing scheme completely depends on the configuration of the application, and if the priority settings of the applications of each service consumer on a plurality of sets of registration center clusters are not uniform, the phenomena of cross-park and cross-regional service calling are easily caused, and the problems of transaction timeout, over-pressure of part of service providers and the like are caused.
Disclosure of Invention
In order to solve the problems in the prior art, the application provides a load balancing method for an intelligent park, and relates to the technical field of load balancing and the financial field. The method comprises the following steps:
acquiring original registration information of service providers of a plurality of registration centers, wherein the original registration information comprises a park to which the service provider belongs and a region to which the park belongs;
determining the proportion of the number of the service providers contained in each park to the total number of the service providers according to the parks to which the service providers belong;
and determining an optional park according to the proportion, and randomly selecting a service provider from a service provider list of the optional park to call the service.
In one embodiment, the determining an optional campus based on the ratio includes:
acquiring the proportion of the number of service providers contained in the current park to the total number of the service providers;
and when the proportion corresponding to the current park exceeds a preset threshold value, determining the current park as an optional park.
In an embodiment, the determining an optional campus according to the ratio further includes:
when the proportion corresponding to the current park does not exceed the preset threshold, acquiring the proportion of the number of service providers contained in other parks except the current park in the area to which the current park belongs to the total number of the service providers;
and when the proportion corresponding to at least one park in the other parks exceeds the preset threshold value, determining any one of the at least one park as a selectable park.
In an embodiment, the load balancing method for the intelligent park further includes:
when the proportions corresponding to all the parks in the area to which the current park belongs do not exceed the preset threshold, judging whether the area to which the current park belongs contains a provider or not;
if so, randomly selecting a service provider from a service provider list in the region to which the current park belongs to call the service;
and if not, acquiring a service provider list of other regions outside the region to which the current park belongs, and randomly selecting one service provider from the service provider lists of the other regions for service calling.
The application also provides a load balancing device of intelligence garden, includes:
the system comprises a registration information acquisition module, a registration information acquisition module and a registration information acquisition module, wherein the registration information acquisition module is used for acquiring original registration information of service providers of a plurality of registration centers, and the original registration information comprises a park to which the service provider belongs and a region to which the park belongs;
the proportion determining module is used for determining the proportion of the number of the service providers contained in each park to the total number of the service providers according to the parks to which the service providers belong;
and the service calling module is used for determining an optional park according to the proportion and randomly selecting a service provider from the service provider list of the optional park to call the service.
In an embodiment, the service invocation module includes an optional park determination unit, configured to:
acquiring the proportion of the number of service providers contained in the current park to the total number of the service providers;
and when the proportion corresponding to the current park exceeds a preset threshold value, determining the current park as an optional park.
In an embodiment, the optional park determination unit is further configured to:
when the proportion corresponding to the current park does not exceed the preset threshold, acquiring the proportion of the number of service providers contained in other parks except the current park in the area to which the current park belongs to the total number of the service providers;
and when the proportion corresponding to at least one park in the other parks exceeds the preset threshold value, determining any one of the at least one park as a selectable park.
In an embodiment, the service invocation module further comprises a service provider determination unit:
when the proportions corresponding to all the parks in the area to which the current park belongs do not exceed the preset threshold, judging whether the area to which the current park belongs contains a provider or not;
if so, randomly selecting a service provider from a service provider list in the region to which the current park belongs to call the service;
and if not, acquiring a service provider list of other regions outside the region to which the current park belongs, and randomly selecting one service provider from the service provider lists of the other regions for service calling.
According to the load balancing method and device for the intelligent park, the provider proportion of each access point after the Dubbo micro-service framework achieves multi-point access is considered, the service consumer application only needs to use multi-registry configuration before the multiple protocol integration, the proportion threshold value is configured, the load balancing strategies of the multiple parks and the multiple regions can be achieved, the problems of the declaration sequence and the priority setting synchronization of the registration centers do not need to be concerned, the configuration operation is simplified, and the load strategies are unified from the framework layer.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a load balancing method for an intelligent park according to the present application.
Fig. 2 is another schematic diagram of a load balancing method for an intelligent park.
Fig. 3 is another schematic diagram of a load balancing method for an intelligent park.
Fig. 4 is another schematic diagram of a load balancing method for an intelligent park.
Fig. 5 is a schematic diagram of a load balancing apparatus of an intelligent park according to the present application.
Figure 6 is another schematic diagram of a load balancing apparatus for an intelligent park.
Fig. 7 is a schematic diagram of an electronic device.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
Before explaining the load balancing method of the intelligent park, an application scenario of the intelligent park is explained so that the public can better understand the intelligent park.
In a microservice environment, a microservice framework is usually used to implement operations such as service definition, service discovery, remote service invocation load balancing, fault tolerance processing, and the like, and a dubbo microservice framework is one of the commonly used microservice frameworks. In the dubbo micro-service framework, three roles of a registry, zookeeper, a service provider and a service consumer are mainly included, and after the service provider registers the provided service in the registry, the service consumer can subscribe and call the service in the registry.
The registry can be set according to regions, and the registries of the regions form a registry cluster. In the dubbo micro-service framework, a region is used for representing the region of the registration center cluster, the value of the region is the ID of the corresponding region, a dc is used for representing the intelligent park of the registration center cluster, the value of the dc is the ID of the corresponding intelligent park, and each region comprises a plurality of intelligent parks dc. Similarly, geographically, each service consumer and service provider belongs to an intelligent campus dc in a regional area. The service provider can register the service on any registration center associated with the service provider, and the service consumer can subscribe and invoke the service on any registration center associated with the service consumer.
Based on this, as shown in fig. 1, the method for load balancing of an intelligent park provided by the present application includes the following steps S101 to S103:
step S101, acquiring original registration information of service providers of a plurality of registration centers, wherein the original registration information comprises a park to which the service provider belongs and a region to which the park belongs.
The execution subject of the load balancing method of the intelligent park can be any service consumer. The service consumer is associated with a plurality of registration centers, including the registration center corresponding to the intelligent park where the service consumer is located, the registration centers corresponding to other intelligent parks in the same region with the intelligent park and the registration centers corresponding to other regions. In step S101, the service consumer obtains and integrates the original registration information of the service providers in all the associated registration centers, and the integrated registration information of the service providers still includes the information of the campus to which the service provider belongs and the region to which the campus belongs in the original registration information.
Specifically, when a service provider registers the provided service in a registry, a dubbo registration protocol configuration needs to be filled; when a service consumer subscribes to a service, the service provider is queried from the configuration file of the registry. Therefore, the original registration information of the service provider is dubbo registration protocol configuration information, such as:
<dubbo:registry id＝"reg1"address＝"xxx.xxx.xxx.xxx:yyyy"protocol＝"zookeeper"enable＝"true"/>
<dubbo:registry id＝"reg2"address＝"xxx.xxx.xxx.xxx:yyyy"protocol＝"zookeeper"enable＝"true"/>
<dubbo:registry id＝"reg3"address＝"xxx.xxx.xxx.xxx:yyyy"protocol＝"zookeeper"enable＝"true"/>
the service consumer acquires the configuration files of the associated registration center, and integrates the dubbo: registry protocol configuration information of each configuration file by using the multiplex protocol of the dubbo micro-service framework to obtain the registration information under the multiplex protocol. Instead of specifying the Smart park dc and regional regions, the multiple protocol configuration specifies the Smart park dc and regional regions in the child region configuration under the multiple protocol.
For example:
and step S102, determining the proportion of the number of the service providers contained in each park to the total number of the service providers according to the parks to which the service providers belong.
Specifically, a dc value of registration information under a multiple protocol is acquired; counting the number of registration information with the dc value consistent with the ID of the intelligent park where the service consumer is located, namely the number of service providers contained in the intelligent park; the ratio of the number of service providers included in the intelligent park to the total number of registration information under the multiple protocol (i.e., the total number of service providers included in all the registries) is calculated.
And step S103, determining an optional park according to the proportion, and randomly selecting a service provider from the service provider list of the optional park for service calling.
Specifically, a suitable intelligent campus is determined as an optional campus according to the ratio obtained in step S102, where the optional campus is an intelligent campus including an optional service provider. In order to avoid problems such as transaction timeout, the present embodiment preferably uses a high-rate intelligent campus as the optional campus. For example, a proportion threshold value is set, intelligent parks containing service providers with the proportion of the number of the service providers to the total number of the service providers higher than the proportion threshold value are screened, then one of the screened intelligent parks is selected as an optional park, and a service provider is randomly selected from the optional parks to call for services.
In the above embodiment, the service consumer determines a suitable intelligent park according to a ratio of the number of service providers included in the intelligent park to the total number of service providers of all the registries associated with the service consumer, and selects a service provider in the determined intelligent park. Compared with the mode of determining the intelligent park according to the priority setting parameters in the prior art, the configuration operation of the micro-service framework is simplified, the load strategies of all service consumers on the framework level are unified, and the situations of cross-intelligent park and cross-regional service calling caused by the priority setting parameters are avoided.
In an embodiment, as shown in fig. 2, step S103, determining an optional campus according to the ratio, and randomly selecting a service provider from the service provider list of the optional campus to invoke a service, includes:
step S1031, obtaining the proportion of the number of service providers contained in the current intelligent park to the total number of the service providers;
step S1032, when the proportion corresponding to the current intelligent park exceeds a preset threshold value, determining the current intelligent park as an optional park;
and step S1033, when the proportion corresponding to the current park does not exceed the preset threshold, selecting another intelligent park except the current intelligent park from the area where the current intelligent park is located as an optional park.
Step S1034, randomly selecting a service provider from the service provider list of the optional campus to call the service.
In an embodiment, as shown in fig. 3, when the ratio corresponding to the current campus does not exceed the preset threshold, step S1033 may be replaced by step S1035 to step S1037:
step S1035, acquiring a ratio of the number of service providers included in other parks except the current park in the area to which the current park belongs to the total number of service providers;
step S1036, when the proportion corresponding to at least one park in the other parks exceeds the preset threshold value, determining any one of the at least one park as a selectable park;
step S1037, when the proportion corresponding to at least one park does not exist in the other parks and exceeds the preset threshold, namely the proportions corresponding to all parks in the area to which the current park belongs do not exceed the preset threshold, selecting any intelligent park from the area to which the current intelligent park belongs and determining the intelligent park as the selectable park.
In an embodiment, as shown in fig. 4, when the proportions of all the parks in the area to which the current park belongs do not exceed the preset threshold, step S1037 may be replaced with step S1038 to step S1030:
step S1038, judging whether the area to which the current park belongs contains a provider or not;
step S1039, if yes, randomly selecting an intelligent park containing a service provider from the area to which the current park belongs as an optional park;
and step S1030, if not, randomly selecting an intelligent park containing a service provider from other parks except the area to which the current park belongs as an optional park.
According to the load balancing method and device for the intelligent park, the provider proportion of each access point after the Dubbo micro-service framework achieves multi-point access is considered, the service consumer application only needs to use multi-registry configuration before the multiple protocol integration, the proportion threshold value is configured, the load balancing strategies of the multiple parks and the multiple regions can be achieved, the problems of the declaration sequence and the priority setting synchronization of the registration centers do not need to be concerned, the configuration operation is simplified, and the load strategies are unified from the framework layer.
Based on the same inventive concept, the embodiment of the present application further provides a load balancing apparatus for an intelligent park, which can be used to implement the method described in the above embodiment, as described in the following embodiments. Because the principle of solving the problems of the load balancing device of the intelligent park is similar to that of the load balancing method of the intelligent park, the implementation of the load balancing device of the intelligent park can refer to the implementation of the load balancing method of the intelligent park, and repeated parts are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
The present application further provides a load balancing apparatus for an intelligent park, as shown in fig. 5, the apparatus includes:
a registration information obtaining module 501, configured to obtain original registration information of service providers of multiple registration centers, where the original registration information includes a campus to which the service provider belongs and a region to which the campus belongs;
a proportion determining module 502, configured to determine, according to the campus to which the service provider belongs, a proportion of the number of service providers included in each campus to the total number of service providers;
the service invoking module 503 is configured to determine an optional campus according to the ratio, and randomly select a service provider from the service provider list of the optional campus to invoke a service.
In an embodiment, as shown in fig. 6, the service invoking module 503 includes an optional campus determination unit 5031 and a service invoking unit 5032, where the optional campus determination unit 5031 is configured to:
acquiring the proportion of the number of service providers contained in the current park to the total number of the service providers;
and when the proportion corresponding to the current park exceeds a preset threshold value, determining the current park as an optional park.
The service invocation unit 5032 is configured to randomly select a service provider from the list of service providers in the optional campus to invoke a service invocation.
In an embodiment, the optional campus determination unit 5031 is further configured to:
when the proportion corresponding to the current park does not exceed the preset threshold, acquiring the proportion of the number of service providers contained in other parks except the current park in the area to which the current park belongs to the total number of the service providers;
and when the proportion corresponding to at least one park in the other parks exceeds the preset threshold value, determining any one of the at least one park as a selectable park.
In an embodiment, the optional campus determination unit 5031 is further configured to:
when the proportions corresponding to all the parks in the area to which the current park belongs do not exceed the preset threshold, judging whether the area to which the current park belongs contains a provider or not;
if yes, randomly selecting an intelligent park containing a service provider from the areas to which the current park belongs as an optional park;
and if not, randomly selecting an intelligent park containing a service provider from other regions except the region to which the current park belongs as an optional park.
According to the load balancing method and device for the intelligent park, the provider proportion of each access point after the Dubbo micro-service framework achieves multi-point access is considered, the service consumer application only needs to use multi-registry configuration before the multiple protocol integration, the proportion threshold value is configured, the load balancing strategies of the multiple parks and the multiple regions can be achieved, the problems of the declaration sequence and the priority setting synchronization of the registration centers do not need to be concerned, the configuration operation is simplified, and the load strategies are unified from the framework layer.
The present invention further provides an electronic device, referring to fig. 7, where the electronic device 100 specifically includes:
a central processing unit (processor)110, a memory (memory)120, a communication module (Communications)130, an input unit 140, an output unit 150, and a power supply 160.
The memory (memory)120, the communication module (Communications)130, the input unit 140, the output unit 150 and the power supply 160 are respectively connected to the central processing unit (processor) 110. The memory 120 stores a computer program, the central processing unit 110 can call the computer program, and the central processing unit 110 executes the computer program to implement all the steps of the load balancing method for the intelligent park in the above embodiments.
Embodiments of the present application also provide a computer storage medium for storing a computer program executable by a processor. When executed by a processor, the computer program implements the load balancing method of any intelligent park provided by the invention.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein. 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 system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification.
In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction. The above description is only an example of the embodiments of the present disclosure, and is not intended to limit the embodiments of the present disclosure. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the present specification.
Claims (10)
1. A load balancing method for an intelligent park, comprising:
acquiring original registration information of service providers of a plurality of registration centers, wherein the original registration information comprises a park to which the service provider belongs and a region to which the park belongs;
determining the proportion of the number of the service providers contained in each park to the total number of the service providers according to the parks to which the service providers belong;
and determining an optional park according to the proportion, and randomly selecting a service provider from a service provider list of the optional park to call the service.
2. The method of load balancing for intelligent parks as in claim 1, wherein said determining an alternative park according to said ratio comprises:
acquiring the proportion of the number of service providers contained in the current park to the total number of the service providers;
and when the proportion corresponding to the current park exceeds a preset threshold value, determining the current park as an optional park.
3. The method of load balancing for intelligent parks as in claim 2, wherein said determining an optional park according to said ratio further comprises:
when the proportion corresponding to the current park does not exceed the preset threshold, acquiring the proportion of the number of service providers contained in other parks except the current park in the area to which the current park belongs to the total number of the service providers;
and when the proportion corresponding to at least one park in the other parks exceeds the preset threshold value, determining any one of the at least one park as a selectable park.
4. The method of load balancing for intelligent parks as in claim 3, further comprising:
when the proportions corresponding to all the parks in the area to which the current park belongs do not exceed the preset threshold, judging whether the area to which the current park belongs contains a provider or not;
if so, randomly selecting a service provider from a service provider list in the region to which the current park belongs to call the service;
and if not, acquiring a service provider list of other regions outside the region to which the current park belongs, and randomly selecting one service provider from the service provider lists of the other regions for service calling.
5. A load balancing device for an intelligent park, comprising:
the system comprises a registration information acquisition module, a registration information acquisition module and a registration information acquisition module, wherein the registration information acquisition module is used for acquiring original registration information of service providers of a plurality of registration centers, and the original registration information comprises a park to which the service provider belongs and a region to which the park belongs;
the proportion determining module is used for determining the proportion of the number of the service providers contained in each park to the total number of the service providers according to the parks to which the service providers belong;
and the service calling module is used for determining an optional park according to the proportion and randomly selecting a service provider from the service provider list of the optional park to call the service.
6. The intelligent park load balancing device according to claim 5, wherein the service invocation module comprises an optional park determination unit configured to:
acquiring the proportion of the number of service providers contained in the current park to the total number of the service providers;
and when the proportion corresponding to the current park exceeds a preset threshold value, determining the current park as an optional park.
7. The intelligent park load balancing device according to claim 6, wherein the optional park determination unit is further configured to:
when the proportion corresponding to the current park does not exceed the preset threshold, acquiring the proportion of the number of service providers contained in other parks except the current park in the area to which the current park belongs to the total number of the service providers;
and when the proportion corresponding to at least one park in the other parks exceeds the preset threshold value, determining any one of the at least one park as a selectable park.
8. The intelligent park load balancing device according to claim 7, wherein the service invocation module further comprises a service provider determination unit:
when the proportions corresponding to all the parks in the area to which the current park belongs do not exceed the preset threshold, judging whether the area to which the current park belongs contains a provider or not;
if so, randomly selecting a service provider from a service provider list in the region to which the current park belongs to call the service;
and if not, acquiring a service provider list of other regions outside the region to which the current park belongs, and randomly selecting one service provider from the service provider lists of the other regions for service calling.
9. An electronic device, comprising:
the intelligent park load balancing method comprises a central processing unit, a storage and a communication module, wherein a computer program is stored in the storage, the central processing unit can call the computer program, and the central processing unit realizes the intelligent park load balancing method according to any one of claims 1 to 4 when executing the computer program.
10. A computer storage medium storing a computer program, wherein the computer program, when executed by a processor, implements a method of load balancing for an intelligent park according to any one of claims 1 to 4.
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