CN112153697A - A CORS solution method, broadcasting method and system, and CORS system in a multi-base station and high concurrency scenario - Google Patents

Abstract

The invention discloses a CORS solution method, broadcasting method and system, and CORS system in a multi-base station and high concurrency scenario, wherein the CORS solution method includes: deploying multiple nodes to form a server cluster, wherein the server cluster includes a push server Clusters, decoding server clusters, data storage server clusters, and solver server clusters; deploy load balancers and connect the load balancers to each server cluster; adopt dynamic load balancing algorithms, according to the base station and user data flow conditions, through the load balancer separately According to the reliability and performance status of the solution server, decoding server, data storage server, and push server, load sharing is performed to realize CORS solution. The present invention greatly improves the CORS network calculation efficiency of multiple base stations in a large range, and at the same time satisfies high concurrent user requests and provides real-time high-precision positioning services.

Description

A CORS solution method, broadcast method and system in a multi-base station and high concurrency scenario system, CORS system

technical field

The invention relates to the technical field of satellite positioning, in particular to a CORS solution method, a broadcast method and system, and a CORS system in a multi-base station and high concurrency scenario.

Background technique

With the rapid progress and popularization of GPS technology, its role in urban surveying has become more and more important. At present, the continuously operating (satellite positioning service) reference station ((Continuously Operating Reference Stations), abbreviated as CORS) established by using the RTK technology of the multi-base station network has become one of the development hotspots of urban GPS applications. The CORS network (system) consists of five parts: the reference station network, the data processing center, the data transmission system, the positioning and navigation data broadcasting system, and the user application system. network.

In the process of implementing the present invention, the inventor of the present application finds that the method of the prior art has at least the following technical problems:

Because the traditional provincial CORS network has a small service area, a small number of base stations, and a low amount of user requests, a single server is usually used as a node to solve the entire network and broadcast real-time differential data to provide positioning services. For CORS systems spanning multiple provinces, due to the wide coverage, large number of base stations, and large user requests, the entire network solution mode using a single server as a node has high requirements on software and hardware, and the solution speed is slow. If the extension is large, the positioning accuracy is low or even impossible to solve, and the system is easy to block or even crash when the user requests are large.

SUMMARY OF THE INVENTION

The present invention provides a CORS solution method, broadcast method and system, and CORS system in a multi-base station and high concurrency scenario, which are used to solve or at least partially solve the problems of slow solution speed and large data transmission delay in the prior art method. technical issues.

In order to solve the above technical problems, the present invention provides a CORS solution method in a multi-base station and high concurrency scenario, including:

Deploying multiple nodes to form a server cluster, wherein the server cluster includes a push server cluster, a decoding server cluster, a data storage server cluster and a solution server cluster;

Deploy the load balancer and connect the load balancer to each server cluster;

The dynamic load balancing algorithm is adopted. According to the base station and user data flow conditions, the load balancer performs load balancing according to the reliability and performance status of the resolution server, decoding server, data storage server, and push server, and realizes CORS solution.

In one embodiment, load balancing is carried out according to the reliability and performance status of the resolution server, the decoding server, the data storage server, and the push server respectively by the load balancer, so as to realize CORS solution, including:

According to the reliability and performance status of the push server, the corresponding push node is selected from the push server cluster to push the real-time data stream and ephemeris file of the base station;

Select the corresponding decoding node from the decoding server cluster to decode the ephemeris file according to the reliability and performance status of the decoding server;

According to the reliability and performance status of the data storage server, the data storage server cluster selects the corresponding data storage node for data storage;

And according to the reliability and performance status of the solver server, the corresponding solver nodes in the solver server cluster are selected to solve the data.

In one embodiment, load sharing is performed by the load balancer according to the reliability and performance status of the data storage server, including:

Obtain the CPU usage of each node in the data storage server cluster, and distribute the requested real-time service to the idle nodes of multiple data storage server clusters through the Nginx optimization algorithm.

In one embodiment, when the load balancer performs load sharing according to the reliability and performance status of the resolution server, the decoding server, the data storage server, and the push server, respectively, to implement CORS resolution, the new RTS request connection is transmitted. to server nodes with less resource consumption.

In one embodiment, the method further comprises: selecting the node to be distributed for the new RTS request through the observer mode based on the optimal balance of the number of connections per server node and the service response time.

In one embodiment, the reliability and performance status of the server include CPU, memory, and swap area, and load balancing is performed by the load balancer according to the reliability and performance status of the resolution server, decoding server, data storage server, and push server, respectively. , to achieve CORS solution, including:

Use the collected current CPU, memory, and swap area of the server node to perform predictive analysis, and select a server with the best performance in the next time slice to respond to user requests.

Based on the same inventive concept, the second aspect of the present invention provides a CORS solution system in a multi-base station and high concurrency scenario, including:

The server cluster deployment module is used to deploy multiple nodes to form a server cluster, wherein the server cluster includes a push server cluster, a decoding server cluster, a data storage server cluster and a solution server cluster;

The first load balancer deployment module is used to deploy the load balancer and connect the load balancer with each server cluster;

The first load balancing module is used to adopt a dynamic load balancing algorithm, according to the base station and user data flow conditions, through the load balancer to perform load balancing according to the reliability and performance status of the resolution server, the decoding server, the data storage server, and the push server respectively. , to achieve CORS solution.

Based on the same inventive concept, a third aspect of the present invention provides a method for broadcasting, which broadcasts the solution result obtained by the solution method of the first aspect, including:

Deploy data server and application server to broadcast the solution results;

Deploy load balancers to connect with data servers and application servers;

The dynamic load balancing algorithm is adopted, and according to the base station and user data flow conditions, the load balancer performs load balancing according to the reliability and performance status of the data server and the application server, and realizes the broadcast of the solution results.

Based on the same inventive concept, a fourth aspect of the present invention provides a broadcasting system, including:

The server deployment module is used to deploy the data server and the application server to broadcast the solution results;

The second load balancer deployment module is used to deploy the load balancer to connect with the data server and the application server;

The second load balancing module is used to adopt a dynamic load balancing algorithm, according to the base station and user data flow conditions, through the load balancer to carry out load sharing according to the reliability and performance status of the data server and the application server respectively, so as to realize the broadcast of the solution result.

Based on the same inventive concept, a fifth aspect of the present invention provides a CORS system in a multi-base station and high concurrency scenario, including the solving system described in the second aspect and the broadcasting system described in the fourth aspect.

The above-mentioned one or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:

Compared with the existing CORS calculation and broadcast mode based on a single server node, the present invention has the following beneficial effects: the existing CORS calculation and broadcast mode based on a single server node is low in efficiency and load. Due to the problems of large scale, it is impossible to realize the CORS solution and broadcast problem in a large-scale multi-base station and high-concurrency scenario. A CORS solution and broadcast method based on a load balancing optimization algorithm in a multi-base station and high-concurrency scenario is proposed, which makes the large-scale CORS solution and broadcast method impossible. The CORS network calculation efficiency of multiple base stations within the range has been greatly improved, and at the same time, it can meet high concurrent user requests and provide real-time high-precision positioning services.

Description of drawings

In order to illustrate the embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are For some embodiments of the present invention, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative efforts.

FIG. 1 is an architecture diagram of software and hardware deployment of a CORS system in a specific embodiment.

FIG. 2 is a schematic diagram of data interaction in a CORS system in a specific embodiment.

Detailed ways

The technical problem that the present invention mainly solves is: for a large-scale CORS location service system, the existing CORS calculation and broadcast mode based on a single server as a node (single server single node) is inefficient, and it is difficult to adapt to the data calculation of multiple base stations. and high concurrent user requests. The invention creatively proposes a method of jointly deploying CORS solving and broadcasting software in a cluster mode on multiple servers, and using a dynamic load balancing algorithm to obtain a large-scale CORS network solution in a multi-base station and high concurrency scenario and broadcast mode.

In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

Example 1

An embodiment of the present invention provides a CORS solution method in a multi-base station and high concurrency scenario, including:

Deploying multiple nodes to form a server cluster, wherein the server cluster includes a push server cluster, a decoding server cluster, a data storage server cluster and a solution server cluster;

Deploy the load balancer and connect the load balancer to each server cluster;

The dynamic load balancing algorithm is adopted. According to the base station and user data flow conditions, the load balancer performs load balancing according to the reliability and performance status of the resolution server, decoding server, data storage server, and push server, and realizes CORS solution.

Specifically, "load balancing" is an advanced technology that can effectively solve the problem of uneven network load distribution. Through an appropriate load balancing algorithm, the tasks are reasonably allocated to all the broadcasters in the network, and a large amount of data traffic is allocated to multiple network links for shared sharing, making full use of network resources, improving network availability, scalability and reliability. flexibility.

The reliability and performance status of the server include CPU usage, memory, and SWAP. The Swap partition, that is, the swap area. The system exchanges with Swap when the physical memory is insufficient.

The technical problem that the present invention mainly solves is: for a large-scale CORS location service system, the existing CORS calculation and broadcast mode based on a single server as a node (single server single node) is inefficient, and it is difficult to adapt to the data calculation of multiple base stations. and high concurrent user requests. The invention creatively proposes a method of jointly deploying CORS solving and broadcasting software in a cluster mode on multiple servers, and using a dynamic load balancing algorithm to obtain a large-scale CORS network solution in a multi-base station and high concurrency scenario and broadcast mode.

The load balancing optimization algorithm realizes CORS solution and broadcast cluster management in multiple base stations and high concurrency scenarios The invention is divided into the following aspects:

During the network construction of the CORS system in a large area, the entire network will be subdivided into multiple sub-networks. Each sub-network contains multiple base stations. Each base station transmits GNSS observation data, receiver information, location information and other data in real time. Obtain satellite ephemeris data, etc. These data need to interact with the software decoding end, control end, solving end, and broadcast server end and provide real-time high-precision location services. Using a single server will make the interaction of data streams more crowded, and even queuing through queues cannot meet real-time user needs. At this time, it is necessary to deploy multiple nodes (servers) to form a cluster, and use corresponding allocation strategies to rationally utilize node resources. So that data calculation, broadcast and data storage can meet the needs of users.

When the system deploys multiple instances to solve, broadcast, and save data, if multiple nodes (servers) do not have a strategy to plan processing tasks, in most cases, the nearest node will be blocked due to queuing, and the distance is long. The nodes will be idle, which will result in a waste of node resources. If these queued tasks can be well distributed to each node, the queuing time of tasks can be shortened and the service capability of the solution software can be improved. Therefore, the present invention distributes solving and broadcasting tasks (loads) among multiple solving and broadcasting servers (clusters), network connections, CPUs, disk drives or other resources through a load balancer, so that these tasks are evenly distributed to different On the solving node, in order to optimize the use of server resources, maximize the throughput rate, minimize the response time, and avoid system blockage due to too many reference stations included in each subnet, causing the system to freeze.

In one embodiment, load balancing is carried out according to the reliability and performance status of the resolution server, the decoding server, the data storage server, and the push server respectively by the load balancer, so as to realize CORS solution, including:

According to the reliability and performance status of the push server, the corresponding push node is selected from the push server cluster to push the real-time data stream and ephemeris file of the base station;

Select the corresponding decoding node from the decoding server cluster to decode the ephemeris file according to the reliability and performance status of the decoding server;

According to the reliability and performance status of the data storage server, the data storage server cluster selects the corresponding data storage node for data storage;

And according to the reliability and performance status of the solver server, the corresponding solver nodes in the solver server cluster are selected to solve the data.

Specifically, load balancing is embodied in each process of CORS calculation, such as data push, decoding, saving, and calculation.

In one embodiment, load sharing is performed by the load balancer according to the reliability and performance status of the data storage server, including:

Obtain the CPU usage of each node in the data storage server cluster, and distribute the requested real-time service to the idle nodes of multiple data storage server clusters through the Nginx optimization algorithm.

Specifically, in this way, the least connection method (Least Connection) can be implemented: new connections are delivered to those servers that perform the least connection processing to achieve the effect of peak shaving. Make sure that each RTS request has the least number of connections through each node, which is achieved through the Nginx optimization algorithm.

In one embodiment, when the load balancer performs load sharing according to the reliability and performance status of the resolution server, the decoding server, the data storage server, and the push server, respectively, to implement CORS resolution, the new RTS request connection is transmitted. to server nodes with less resource consumption.

Specifically, this method is the fastest mode (Fastest), which connects new RTS requests to those server nodes that respond the fastest (that is, with the least resource consumption), so that the solution task processing can be processed as quickly as possible to ensure real-time solution.

In one embodiment, the method further comprises: selecting the node to be distributed for the new RTS request through the observer mode based on the optimal balance of the number of connections per server node and the service response time.

Specifically, this method is Observed.

In one embodiment, the reliability and performance status of the server include CPU, memory, and swap area, and load balancing is performed by the load balancer according to the reliability and performance status of the resolution server, decoding server, data storage server, and push server, respectively. , to achieve CORS solution, including:

Use the collected current CPU, memory, and swap area of the server node to perform predictive analysis, and select a server with the best performance in the next time slice to respond to user requests.

Specifically, this mode is a prediction mode (Predictive), and the server node includes a push node, a decoding node, a saving node, and a solving node.

Optionally, the load balancing scheduling process also includes dynamic performance allocation (Dynamic Ratio-APM): the number of RTS requests and connections collected by BIG-IP and various performance parameters of server nodes, dynamically adjust traffic allocation.

Dynamic server supplement (Dynamic Server Act.): When the number of nodes in the server group (master) currently participating in the calculation, storage, decoding, and push decreases due to failure, the backup server is dynamically supplemented to the master server group.

Quality of Service (QoS): RTS data streams are allocated according to different priorities (Real Time Service).

Type of Service (ToS): Dynamically distribute the RTS data stream according to different service types (mark the specific solution, decoding, saving, and push server node information in the Type of Field) load balancing.

Rule mode: Set guiding rules for different data streams, and users can choose the corresponding node by themselves.

The specific implementation of CORS solution and service:

Distribute RTS requests to specific solution and broadcast server nodes through load balancing optimization algorithms. The real-time process of the specific solution module is as follows:

When performing multi-subnet calculation on data streams such as raw observations of multiple base stations, satellite ephemeris, and related configuration parameters obtained in real time, a dynamic load balancing server is used to share the load according to the performance and reliability of the background calculation server. , to realize the parallel solution of Delaunay triangulation of various baseline combinations in the CORS subnet, reduce the solution time, reduce the data transmission delay, and improve the user fixed rate.

Step1: Obtain the data flow information of the reference station participating in the solution;

Step2: Create a thread pool (newCachedThreadPool) that can be expanded indefinitely;

Step3: Distribute the corresponding base station in Step1 to the solution node (server) of the thread pool created by the second step through the load balancing server;

Step4: Repeat the operation of Step3 when the base station data flow comes in again later; in this way, there is always a base station in the solution node to participate in the solution, when the node solution is completed, there is no message in the thread pool queue When the calculated base station data), the load balancing server will continue to allocate tasks through the algorithm of Step 3.

Step5: Repeat the above operations until all the solution tasks participate in the solution, and broadcast the solution results in real time.

Based on the same inventive concept, the present invention also provides a system corresponding to the CORS solution method in the multi-base station and high concurrency scenario in the first embodiment. For details, refer to the second embodiment.

Embodiment 2

This embodiment provides a CORS solution system in a multi-base station and high concurrency scenario, including:

The server cluster deployment module is used to deploy multiple nodes to form a server cluster, wherein the server cluster includes a push server cluster, a decoding server cluster, a data storage server cluster and a solution server cluster;

The first load balancer deployment module is used to deploy the load balancer and connect the load balancer with each server cluster;

The first load balancing module is used to adopt a dynamic load balancing algorithm, according to the base station and user data flow conditions, through the load balancer to perform load balancing according to the reliability and performance status of the resolution server, the decoding server, the data storage server, and the push server respectively. , to achieve CORS solution.

Since the system introduced in Embodiment 2 of the present invention is a system used for implementing a CORS solution method in a multi-base station and high concurrency scenario in Embodiment 1 of the present invention, based on the method described in Embodiment 1 of the present invention, Those skilled in the art can understand the specific structure and modification of the system, so it is not repeated here. All systems used in the method of Embodiment 1 of the present invention belong to the scope of protection of the present invention.

Based on the same inventive concept, the present invention also provides a method for broadcasting the solution result obtained in the first embodiment, for details, please refer to the third embodiment.

Embodiment 3

The present embodiment provides a broadcast method, and broadcasts the solution result obtained by the solution method in the first embodiment, including:

Deploy data server and application server to broadcast the solution results;

Deploy load balancers to connect with data servers and application servers;

The dynamic load balancing algorithm is adopted, and according to the base station and user data flow conditions, the load balancer performs load balancing according to the reliability and performance status of the data server and the application server, and realizes the broadcast of the solution results.

During CORS broadcast: use dynamic load balancing for a large number of large concurrent user requests, perform load sharing according to the performance and reliability of the background broadcast server, and broadcast the differential data of the virtual reference station (VRS), reducing the pressure on the broadcast end and improving Broadcast efficiency, realize differential data broadcast in large concurrency scenarios, and provide high-precision location services in real time.

The broadcasting method in this embodiment is carried out on the basis of the solution result obtained in the first embodiment, and the involved dynamic equalization algorithm is the same as that in the first embodiment. The dynamic balancing algorithm involved in the broadcast through the data server and the application server in this embodiment is the same as that of the first embodiment, so it is not repeated here.

Since the method introduced in the third embodiment of the present invention is based on the settlement result obtained by the CORS solution method in the multi-base station and high concurrency scenario in the first embodiment of the present invention, it is based on the method introduced in the first embodiment of the present invention. The specific implementation of the method can be understood by those skilled in the art, so it is not repeated here. All the broadcasting methods implemented based on the method in Embodiment 1 of the present invention belong to the scope of protection of the present invention.

Based on the same inventive concept, the present invention also provides a system corresponding to the broadcasting method in the multi-base station and high concurrency scenario in the third embodiment, and specifically refer to the fourth embodiment.

Embodiment 4

This embodiment provides a broadcasting system, including:

The server deployment module is used to deploy the data server and the application server to broadcast the solution results;

The second load balancer deployment module is used to deploy the load balancer to connect with the data server and the application server;

The second load balancing module is used to adopt a dynamic load balancing algorithm, according to the base station and user data flow conditions, through the load balancer to carry out load sharing according to the reliability and performance status of the data server and the application server respectively, so as to realize the broadcast of the solution results.

Since the system introduced in Embodiment 4 of the present invention is a system used to implement a broadcast method in a multi-base station and high concurrency scenario in Embodiment 3 of the present invention, based on the method described in Embodiment 1 of the present invention, the field of Those who belong to it can understand the specific structure and deformation of the system, so it is not repeated here. All systems used in the method of the third embodiment of the present invention belong to the scope of protection of the present invention.

Based on the same inventive concept, the present invention also provides a CORS system in a multi-base station and high-concurrency scenario. For details, refer to the fifth embodiment.

Embodiment 5

This embodiment provides a CORS system in a multi-base station and high concurrency scenario, including the solving system described in Embodiment 2 and the broadcasting system described in Embodiment 4.

Please refer to FIG. 1 , which is a software and hardware deployment architecture diagram of a CORS system in a specific embodiment, wherein the data calculation deployment corresponds to the CORS calculation system, and the service broadcast management deployment corresponds to the broadcast system. The data solution results obtained by the CORS solution system are transmitted to the system administrators and system maintenance personnel through the internal network. The data of the distribution system is transmitted to the user service administrator through the content network, and to the public users through the external network.

FIG. 2 is a schematic diagram of data interaction in a CORS system in a specific embodiment. In the data processing center, the solution processing center is the CORS solution system, and the service management center is the broadcast system.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention 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, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

Although preferred embodiments of the present invention have been described, additional changes and modifications to these embodiments may occur to those skilled in the art once armed with the basic inventive concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiment and all changes and modifications that fall within the scope of the present invention.

Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present invention without departing from the spirit and scope of the embodiments of the present invention. Thus, provided that these modifications and variations of the embodiments of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims (10)

1. A CORS resolving method under a multi-base-station and high-concurrency scene is characterized by comprising the following steps:

deploying a plurality of nodes to form a server cluster, wherein the server cluster comprises a pushing server cluster, a decoding server cluster, a data storage server cluster and a resolving server cluster;

deploying a load balancer, and connecting the load balancer with each server cluster;

and a dynamic load balancing algorithm is adopted, and load sharing is carried out through a load balancer according to the reliability and performance conditions of the resolving server, the decoding server, the data storage server and the pushing server respectively according to the data flow conditions of the base station and the user, so that CORS resolving is realized.

2. The CORS resolving method of claim 1, wherein load sharing is performed by a load balancer according to reliability and performance conditions of a resolving server, a decoding server, a data storage server and a pushing server respectively to realize CORS resolving, and the method comprises the following steps:

selecting a corresponding push node from a push server cluster according to the reliability and performance condition of a push server to push a base station real-time data stream and an ephemeris file;

selecting a corresponding decoding node from the decoding server cluster according to the reliability and performance condition of the decoding server to decode the ephemeris file;

selecting a corresponding data storage node for storing data according to the reliability and performance condition of the data storage server cluster;

and selecting corresponding resolving nodes in the resolving server cluster to resolve the data according to the reliability and performance conditions of the resolving servers.

3. The CORS calculation method according to claim 1, wherein the load sharing by the load balancer according to the reliability and performance status of the data storage server respectively comprises:

and acquiring the CPU service conditions of each node in the data storage server cluster, and distributing the requested real-time service to idle nodes of the data storage server clusters through a Nginx optimization algorithm.

4. The CORS calculation method according to claim 1, wherein when CORS calculation is realized by load sharing by the load balancer according to reliability and performance conditions of the calculation server, the decoding server, the data storage server and the push server, a new RTS request connection is transmitted to a server node with less resource consumption.

5. A CORS solution method according to claim 1, characterized in that it further comprises: the node to be distributed is selected for the new RTS request by observer mode based on an optimal balance of the number of connections per server node and the service response time.

6. The CORS resolving method according to claim 1, wherein the reliability and performance conditions of the server include a CPU, a memory and an exchange area, and load sharing is performed by the load balancer according to the reliability and performance conditions of the resolving server, the decoding server, the data storage server and the push server respectively to realize CORS resolving, and the CORS resolving method comprises the following steps:

and performing predictive analysis by using the collected current CPU, memory and switching area of the server node, and selecting the server with the best performance in the next time slice to respond to the request of the user.

7. A CORS resolving system under a multi-base-station and high-concurrency scene is characterized by comprising:

the server cluster deployment module is used for deploying a plurality of nodes to form a server cluster, wherein the server cluster comprises a push server cluster, a decoding server cluster, a data storage server cluster and a resolving server cluster;

the first load balancer deployment module is used for deploying the load balancers and connecting the load balancers with the server clusters;

and the first load balancing module is used for sharing loads according to the reliability and performance conditions of the resolving server, the decoding server, the data storage server and the pushing server through the load balancer respectively by adopting a dynamic load balancing algorithm according to the base station and the user data stream conditions, so that CORS resolving is realized.

8. A dissemination method for disseminating a solution result obtained by a solution method according to any one of claims 1 to 6, comprising:

the deployment data server and the application server broadcast the resolving result;

the deployment load balancer is connected with the data server and the application server;

and a dynamic load balancing algorithm is adopted, and load sharing is carried out through a load balancer according to the reliability and performance conditions of the data server and the application server respectively according to the data flow conditions of the base station and the user, so that the broadcasting of the resolving result is realized.

9. A distribution system, comprising:

the server deployment module is used for deploying the data server and the application server to broadcast the resolving result;

the second load balancer deployment module is used for deploying the load balancer to be connected with the data server and the application server;

and the second load balancing module is used for sharing loads through the load balancer according to the reliability and performance conditions of the data server and the application server respectively by adopting a dynamic load balancing algorithm according to the data flow conditions of the base station and the user, so that the broadcasting of the resolving result is realized.

10. A CORS system under a multi-base-station and high-concurrency scene, which comprises the solution system as claimed in claim 7 and the dissemination system as claimed in claim 9.

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