CN112153697A - CORS resolving method, broadcasting method and system and CORS system under multi-base-station and high-concurrency scene - Google Patents
CORS resolving method, broadcasting method and system and CORS system under multi-base-station and high-concurrency scene Download PDFInfo
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- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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Abstract
The invention discloses a CORS resolving method, a broadcasting method and a broadcasting system under a multi-base-station and high-concurrency scene, and a CORS system, wherein the CORS resolving method comprises 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. The method greatly improves the CORS network resolving efficiency of multiple base stations in a large range, simultaneously meets the user request with high concurrency and provides real-time high-precision positioning service.
Description
Technical Field
The invention relates to the technical field of satellite positioning, in particular to a CORS calculating method, a broadcasting method and a broadcasting system under a multi-base-station and high-concurrency scene, and a CORS system.
Background
With the rapid progress and popularization of the GPS technology, the role of the GPS technology in urban survey is more and more important. Currently, a Continuously Operating (satellite positioning service) Reference station (referred to as "CORS") established by using a multi-base station network RTK technology has become one of the development hotspots of urban GPS applications. The CORS network (system) is composed of five parts, namely a reference station network, a data processing center, a data transmission system, a positioning navigation data broadcasting system and a user application system, wherein each reference station and the monitoring analysis center are connected into a whole through the data transmission system to form a special network.
The inventor of the present application finds that the method of the prior art has at least the following technical problems in the process of implementing the present invention:
because the traditional provincial CORS network has small service area, small number of base stations and low user request amount, a single server is generally adopted as a node to carry out whole-network resolving and broadcast real-time differential data to provide positioning service. For a CORS system spanning multiple provinces, due to the fact that the coverage range is wide, the number of reference stations is large, the user request amount is large, the requirement on software and hardware is high in a whole network calculation mode with a single server as a node, the calculation speed is low, the data transmission delay is long, the positioning accuracy is low, even calculation cannot be performed, and the system is prone to blocking and even collapse when the user request amount is large.
Disclosure of Invention
The invention provides a CORS calculating method, a broadcasting method and a broadcasting system under a multi-base-station and high-concurrency scene, and a CORS system, which are used for solving or at least partially solving the technical problems of low calculating speed and large data transmission delay existing in the method in the prior art.
In order to solve the technical problem, the invention provides a CORS resolving method under a multi-base-station and high-concurrency scene, which comprises the following steps:
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;
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.
In one embodiment, the 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, so as to implement CORS resolving, including:
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.
In one embodiment, the load sharing by the load balancer according to the reliability and performance status of the data storage server includes:
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.
In one embodiment, when CORS resolving is realized by load sharing through a load balancer according to reliability and performance conditions of a resolving server, a decoding server, a data storage server and a pushing server, a new RTS request connection is transmitted to a server node with less resource consumption.
In one embodiment, the method 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.
In one embodiment, the reliability and performance status of the server includes a CPU, a memory, and an exchange area, and the load is shared by the load balancer according to the reliability and performance status of the solution server, the decode server, the data storage server, and the push server, so as to implement CORS solution, including:
and performing predictive analysis by using the collected current CPU, memory and switching area of the server node, and selecting a server with the best performance in the next time slice to respond to the request of the user.
Based on the same inventive concept, a second aspect of the present invention provides a CORS solution system under a multi-base-station and high-concurrency scenario, including:
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 each server cluster;
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 data flow conditions of the base station and the user so as to realize CORS resolving.
Based on the same inventive concept, a third aspect of the present invention provides a dissemination method for disseminating a solution result obtained by the solution method of the first aspect, including:
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.
Based on the same inventive concept, a fourth aspect of the present invention provides 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.
Based on the same inventive concept, a fifth aspect of the present invention provides a CORS system under a multi-base-station and high-concurrency scenario, including the solution system according to the second aspect and the dissemination system according to the fourth aspect.
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 conventional CORS whole-network calculating and broadcasting mode based on a single server node, the CORS whole-network calculating and broadcasting method has the beneficial effects that: aiming at the problems that the conventional CORS resolving and broadcasting mode based on a single server node is low in efficiency, large in load and the like, and CORS resolving and broadcasting problems under a large-range multi-base-station and high-concurrency scene cannot be realized, the CORS resolving and broadcasting method based on the load balancing optimization algorithm under the multi-base-station and high-concurrency scene is provided, so that the CORS network resolving efficiency of the multi-base-station in the large range is greatly improved, user requests with high concurrency are met, and real-time high-precision positioning service is provided.
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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative work.
FIG. 1 is a diagram illustrating a CORS system software and hardware deployment architecture in an exemplary embodiment.
Fig. 2 is a schematic diagram of data interaction in the CORS system in an embodiment.
Detailed Description
The invention mainly solves the technical problems that the existing CORS resolving and broadcasting mode based on a single server as a node (a single machine and a single node) is low in efficiency aiming at a large-range CORS position service system, and is difficult to adapt to data resolving and high-concurrency user requests of multiple base stations. The invention creatively provides a large-range CORS network resolving and broadcasting mode under a multi-base-station and high-concurrency scene by jointly deploying CORS resolving and broadcasting software on a plurality of servers in a cluster mode and adopting a dynamic load balancing calculation method.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example one
The embodiment of the invention provides a CORS resolving method under a multi-base-station and high-concurrency scene, which comprises the following steps:
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;
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.
Specifically, "load balancing" is an advanced technique that can effectively solve the problem of uneven distribution of network loads. Through a proper load balancing algorithm, tasks are reasonably distributed to all the broadcasters in the network, and meanwhile, a large amount of data flow is distributed to a plurality of network links to share together, so that network resources are fully utilized, and the availability, expandability and flexibility of the network are improved.
The reliability and performance conditions of the server include CPU usage, memory and SWAP, and the SWAP partition, i.e. the switching partition, exchanges with the SWAP when the physical memory of the system is insufficient.
The invention mainly solves the technical problem that the existing CORS resolving and broadcasting mode based on a single server as a node (a single machine and a single node) is low in efficiency aiming at a large-range CORS position service system, and is difficult to adapt to data resolving of multiple base stations and high-concurrency user requests. The invention creatively provides a large-range CORS network resolving and broadcasting mode under a multi-base-station and high-concurrency scene by jointly deploying CORS resolving and broadcasting software on a plurality of servers in a cluster mode and adopting a dynamic load balancing algorithm.
The invention for realizing CORS resolving and broadcasting cluster management under a multi-base-station and high-concurrency scene by using a load balancing optimization algorithm is divided into the following aspects:
in the network construction process of a large-area CORS system, the whole network is subdivided into a plurality of sub-networks, each sub-network comprises a plurality of reference stations, each reference station transmits GNSS observation data, receiver information, position information and other data in real time and simultaneously acquires satellite ephemeris data and the like, and the data are required to be interacted at a software decoding end, a control end, a resolving end and a broadcasting and transmitting service end and provide real-time high-precision position service. The use of a single server can lead the interaction of data streams to be crowded, and the real-time user requirements can not be met even though queuing is carried out through a queue, at this time, a plurality of nodes (servers) need to be deployed to form a cluster, and the node resources are reasonably utilized by adopting a corresponding distribution strategy, so that the user requirements can be met by data resolving, broadcasting and data storage.
When a system deploys a plurality of instances to solve, broadcast and store data, if a plurality of nodes (servers) do not have a strategy to plan processing tasks, in most cases, the closest node will be blocked due to explosion caused by queuing, and nodes at a longer distance will be idle, which causes waste of resources of the nodes. If the queued tasks can be well dispersed to each node, the queuing time of the tasks can be shortened, and the service capability of the calculation software is improved. Therefore, the invention distributes the resolving and broadcasting tasks (loads) in a plurality of resolving and broadcasting servers (clusters), network connections, CPUs, disk drives or other resources through the load balancer, and enables the tasks to be evenly distributed to different resolving nodes, so that the use of the server resources is optimized, the throughput rate is maximized, the response time is minimized, and simultaneously, the system is prevented from being blocked and causing the system to be falsely dead due to the fact that each subnet contains too many reference stations.
In one embodiment, the 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, so as to implement CORS resolving, including:
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.
In particular, load balancing is embodied in each process of CORS solution, such as data push, decode, save, and solution.
In one embodiment, the load sharing by the load balancer according to the reliability and performance status of the data storage server includes:
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.
In particular, the Least Connection (Least Connection) can be realized in this way: and transmitting the new connection to the server which performs the minimum connection processing, thereby achieving the peak clipping effect. Each RTS request is guaranteed to have a minimum of connections through the respective nodes, which is achieved by the Nginx optimization algorithm.
In one embodiment, when CORS resolving is realized by load sharing through a load balancer according to reliability and performance conditions of a resolving server, a decoding server, a data storage server and a pushing server, a new RTS request connection is transmitted to a server node with less resource consumption.
Specifically, the method is a Fastest mode (Fastest), and a new RTS request is connected to the server nodes which respond Fastest (namely, the resource consumption is minimum), so that the solution task processing is Fastest and real-time solution is ensured.
In one embodiment, the method 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.
Specifically, this mode is observer mode (observer).
In one embodiment, the reliability and performance status of the server includes a CPU, a memory, and an exchange area, and the load is shared by the load balancer according to the reliability and performance status of the solution server, the decode server, the data storage server, and the push server, so as to implement CORS solution, including:
and performing predictive analysis by using the collected current CPU, memory and switching area of the server node, and selecting a server with the best performance in the next time slice to respond to the request of the user.
Specifically, the method is a prediction mode (Predictive), and the server node includes a push node, a decode node, a save node, and a resolve node.
Optionally, in the load balancing scheduling process, Dynamic performance allocation (Dynamic Ratio-APM) is further included: RTS requests and connection numbers collected by the BIG-IP and various performance parameters of the server nodes dynamically adjust the flow distribution.
Dynamic Server supplementation (Dynamic Server Act.): when the number of nodes is reduced due to faults in a server group (master) which is currently involved in resolving, saving, decoding and pushing, a backup server is dynamically supplemented to a main server group.
Quality of service (QoS): RTS data streams are allocated at different priorities (Real Time Service).
Type of service (ToS): and dynamically allocating the RTS data flow according to different service types (marking specific resolving, decoding, storing and pushing server node information in Type of Field) load balancing.
Rule mode: and setting a guiding rule aiming at different data streams, and enabling a user to select a corresponding node by himself.
CORS resolving and service specific implementation mode:
and the RTS request is distributed to a specific resolving and broadcasting server node through a load balancing optimization algorithm. The real-time flow of the specific calculation module is as follows:
when data streams such as a plurality of original observation values of a reference station, satellite ephemeris and related configuration parameters acquired in real time are subjected to multi-subnet calculation, a dynamic load balancing server is used, load sharing is performed according to the performance accessibility of a background calculation server, parallel calculation of a plurality of Delaunay triangulation networks with different baseline combination types in a CORS subnet is realized, the calculation time is reduced, the data transmission delay is reduced, and the user fixing rate is improved.
Step1, obtaining data flow information participating in resolving the reference station;
step2, creating a thread pool (newCachedthreadPool) which can be infinitely expanded;
step3, distributing the corresponding base station in Step1 to the resolving node (server) of the thread pool created in the second Step through the load balancing server;
step 4: repeating the operation of Step3 when the base station data flow comes in again; in this way, a solution node always has a reference station participating in the solution, and when the solution of the node is completed and no message (reference station data to participate in the solution) exists in the thread pool queue, the load balancing server continues to distribute tasks through the algorithm of Step 3.
Step 5: and repeating the operations until the resolving tasks all participate in resolving, and broadcasting the resolving result in real time.
Based on the same inventive concept, the invention further provides a system corresponding to the CORS calculation method in the multi-base-station high-concurrency scene in the first embodiment, which is specifically referred to in the second embodiment.
Example two
The embodiment provides a CORS resolving system under a multi-base-station and high-concurrency scene, which comprises:
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 each server cluster;
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 data flow conditions of the base station and the user so as to realize CORS resolving.
Since the system described in the second embodiment of the present invention is a system adopted for implementing the CORS solution method in the first embodiment of the present invention in a multi-base-station and high-concurrency scenario, based on the method described in the first embodiment of the present invention, those skilled in the art can understand the specific structure and the deformation of the system, and therefore, a detailed description is not provided herein. All systems adopted by the method of the first embodiment of the present invention are within the intended protection scope of the present invention.
Based on the same inventive concept, the invention also provides a method for broadcasting the calculation result obtained in the first embodiment, which is specifically referred to in the third embodiment.
EXAMPLE III
The embodiment provides a dissemination method for disseminating a solution result obtained by the solution method in the first embodiment, including:
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.
When carrying out CORS broadcasting: for massive large concurrent user requests, dynamic load balancing is used, load sharing is carried out according to the performance accessibility of a background broadcasting server, differential data of a Virtual Reference Station (VRS) are broadcasted, the pressure of a broadcasting sending end is reduced, the broadcasting efficiency is improved, the differential data broadcasting under a large concurrent scene is realized, and high-precision position service is provided in real time.
The broadcasting method in this embodiment is performed on the basis of the solution result obtained in the first embodiment, where the involved dynamic balancing algorithm is the same as that in the first embodiment, and since the dynamic balancing allocation in the data pushing, decoding, storing, and solution processes is described in detail in the first embodiment, the dynamic balancing algorithm involved in the broadcasting through the data server and the application server in this embodiment is the same as that in the first embodiment, and therefore, no further description is given here.
Since the method introduced in the third embodiment of the present invention broadcasts 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, based on the method introduced in the first embodiment of the present invention, those skilled in the art can understand the specific implementation manner of the method, and thus, details are not described herein. All broadcasting methods implemented by the method based on the first embodiment of the present invention belong to the protection scope of the present invention.
Based on the same inventive concept, the invention further provides a system corresponding to the broadcasting method in the multi-base-station and high-concurrency scene in the third embodiment, which is specifically referred to as the fourth embodiment.
Example four
The present embodiment provides a broadcasting system, including:
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.
Since the system introduced in the fourth embodiment of the present invention is a system adopted for implementing the broadcasting method in the third embodiment of the present invention in a multi-base-station and high-concurrency scenario, based on the method introduced in the first embodiment of the present invention, those skilled in the art can understand the specific structure and deformation of the system, and thus, details are not described herein. All systems adopted by the method of the third embodiment of the invention belong to the protection scope of the invention.
Based on the same inventive concept, the invention also provides a CORS system under a multi-base-station and high-concurrency scene, which is specifically referred to as embodiment five.
EXAMPLE five
The embodiment provides a CORS system under a multi-base-station and high-concurrency scene, which comprises a resolving system described in the second embodiment and a broadcasting system described in the fourth embodiment.
Referring to fig. 1, a diagram of software and hardware deployment architectures of a CORS system in a specific embodiment is shown, where data calculation deployment corresponds to a CORS calculation system, and service distribution management deployment corresponds to a distribution system. And transmitting a data resolving result obtained by the CORS resolving system to system management personnel and system maintenance personnel through an internal network. The data of the broadcasting system is transmitted to a user service manager through a content network and is transmitted to public users through an external network.
Fig. 2 is a schematic diagram of data interaction in the CORS system in an embodiment. In the data processing center, the calculating processing center is a CORS calculating system, and the service management center is a broadcasting 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, and the like) 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 flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made in the embodiments of the present invention without departing from the spirit or scope of the embodiments of the invention. Thus, if such 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 encompass 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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