CN113312154A - Method, system, equipment and storage medium for scheduling satellite service resources - Google Patents
Method, system, equipment and storage medium for scheduling satellite service resources Download PDFInfo
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Abstract
The application provides a scheduling method, a system, equipment and a storage medium of satellite service resources, wherein the scheduling method comprises the following steps: aiming at each satellite service client, receiving a service request sent by the satellite service client, and determining a target satellite service server from a plurality of satellite service servers in a reverse proxy mode according to an internet protocol address included in the service request; sending the service request to a target satellite service terminal, and receiving a server execution logic sent by the target satellite service terminal; determining a target server from the server cluster according to the working state and the working performance of each server in the server cluster; and sending the server execution logic to a target server, and sending an execution result of the server execution logic executed by the target server to a satellite service client. By optimizing the scheduling mode of satellite service resources in the system, the operation and maintenance cost of the system is reduced, and the satellite data processing requirement under high concurrency is better met.
Description
Technical Field
The present application relates to the technical field of satellite application services, and in particular, to a method, a system, a device, and a storage medium for scheduling satellite service resources.
Background
With the more and more mature of satellite design and manufacture technology, enterprises engaged in commercial satellite manufacture gradually increase, the number of orbiting satellites also increases year by year, and a certain scale satellite cluster is gradually formed, so that relevant satellite data is collected by the scale satellite cluster, the collected satellite data is sent to different types of satellite application services for processing, and a data processing result required by a user can be obtained. Compared with other service field data, the satellite monitoring process is mainly concentrated in certain fixed time intervals, and in the time intervals, a large amount of satellite data of each satellite in a satellite cluster is collected in a concentrated mode, so that the number of client requests of each satellite service client is increased rapidly, and the whole satellite application service system is in a high concurrency state.
The conventional satellite application service system is mainly based on a traditional service deployment cluster architecture, and multiple servers are manually configured to respond to client requests of each satellite service client in satellite monitoring transit time intervals so as to meet high concurrency requirements of the satellite application service system in the time intervals. However, satellite service clients of different service types have different processing requirements for satellite data, that is, when responding to client requests of different service types, service resources to be scheduled by a satellite application service system are also different, for example, application service a is used for responding to a client request of a service type a, and application service B is used for responding to a client request of a service type B; when the traditional service deployment cluster architecture schedules service resources, a plurality of temporarily and manually configured servers are used for jointly responding to all client requests, service resources corresponding to the client requests of different service types are not distinguished, so that the operation and maintenance cost of a satellite application service system is high, the problem of scheduling errors of the service resources is easy to occur, and the satellite data processing requirement under high concurrency cannot be well met.
Disclosure of Invention
In view of this, an object of the present application is to provide a method, a system, a device, and a storage medium for scheduling satellite service resources, so as to optimize a scheduling manner of the satellite service resources in a satellite application service system, reduce operation and maintenance costs of the satellite application service system, and better meet a satellite data processing requirement under high concurrency.
In a first aspect, an embodiment of the present application provides a method for scheduling a satellite service resource, where the method is applied to a scheduling subsystem of a satellite application service system, where the satellite application service system includes: the system comprises a plurality of satellite service clients, a scheduling subsystem, a plurality of satellite service servers and a server cluster; the scheduling method comprises the following steps:
for each satellite service client, receiving a service request sent by the satellite service client, and determining a target satellite service server for responding to the service request from the plurality of satellite service servers in a reverse proxy mode according to an internet protocol address included in the service request;
sending the service request to the target satellite service terminal, and receiving server execution logic sent by the target satellite service terminal, wherein the server execution logic is obtained by the target satellite service terminal in response to the service request; the server execution logic comprises: completing target satellite application services required by the service request and target tasks required to be executed by each target satellite application service;
according to the working state and the working performance of each server in the server cluster, determining a server meeting a request response condition from the server cluster as a target server;
and sending the server execution logic to the target server, receiving an execution result of the server execution logic from the target server, and sending the execution result to the satellite service client.
Optionally, the scheduling subsystem includes: load balancing clusters, nginx clusters, and neural networks.
Optionally, the determining, by means of a reverse proxy, a target satellite service end for responding to the service request from the plurality of satellite service ends includes:
the load balancing cluster determines a reverse proxy server with the most idle working state as a target reverse proxy server according to the working state of each reverse proxy server in the nginx cluster;
the load balancing cluster forwards the service request to the target reverse proxy server in a route skipping mode;
the target reverse proxy server determines the service type of the satellite service client corresponding to the internet protocol address as a target service type according to the internet protocol address included in the service request;
and the target reverse proxy server determines a satellite service server with the service type being the target service type from the plurality of satellite service servers as the target satellite service server according to the determined target service type.
Optionally, the managing, by the neural network, the plurality of satellite service servers and the server cluster under a unified communication protocol, and determining, from the server cluster, a server meeting a request response condition as a target server according to a working state and a working performance of each server in the server cluster includes:
in the management process, the neural network carries out periodic health detection on the working performance of each server in the server cluster according to a preset detection period, and obtains the health detection result of each server in the current detection period;
the neural network takes the server with the working performance meeting a first preset condition as an alternative server according to the health detection result of each server;
and the neural network determines the alternative server with the most idle working state as the target server according to the working state of each alternative server.
Optionally, a satellite application service for satisfying all types of service requests is installed on each server in the server cluster, where each satellite application service is stored in an independent docker container in a packed mirror image manner, and each docker container performs componentized control and management through a unified K8S management tool.
Optionally, the scheduling subsystem performs start-stop control on the satellite application service in each docker container by using the following method, where the method includes:
the scheduling subsystem determines a time interval of each transit monitoring of the target satellite as a high concurrency time interval of resource scheduling according to the transit monitoring time interval of the target satellite and the orbital operation period of the target satellite;
in each high concurrency time interval, the scheduling subsystem controls the satellite application service in each docker container to be in a running state through the K8S management tool;
the scheduling subsystem determines a time interval of each target satellite in the data acquisition idle period as an idle time interval of resource scheduling according to the time interval of the target satellite in the data acquisition idle period and the orbital operation period of the target satellite;
and in each idle time interval, the scheduling subsystem controls the satellite application service in each docker container to be in a closed state through the K8S management tool.
Optionally, the scheduling subsystem further performs start-stop control on the satellite application service in each docker container by using the following method, where the method includes:
aiming at the satellite application service in each docker container, the scheduling subsystem determines a service idle period corresponding to the satellite application service according to the service type of the satellite application service;
the scheduling subsystem controls the satellite application service in each docker container to be in a closed state in a service idle period of the satellite application service through the K8S management tool;
and the scheduling subsystem controls the satellite application service in each docker container to be in a running state outside the service idle period of the satellite application service through the K8S management tool.
In a second aspect, an embodiment of the present application provides a satellite application service system, where the satellite application service system includes: the system comprises a plurality of satellite service clients, a scheduling subsystem, a plurality of satellite service servers and a server cluster; the scheduling subsystem is configured to:
for each satellite service client, receiving a service request sent by the satellite service client, and determining a target satellite service server for responding to the service request from the plurality of satellite service servers in a reverse proxy mode according to an internet protocol address included in the service request;
sending the service request to the target satellite service terminal, and receiving server execution logic sent by the target satellite service terminal, wherein the server execution logic is obtained by the target satellite service terminal in response to the service request; the server execution logic comprises: completing target satellite application services required by the service request and target tasks required to be executed by each target satellite application service;
according to the working state and the working performance of each server in the server cluster, determining a server meeting a request response condition from the server cluster as a target server;
sending the server execution logic to the target server, receiving an execution result of the server execution logic from the target server, and sending the execution result to the satellite service client;
the satellite service client is configured to:
sending the service request to the scheduling subsystem, and receiving the execution result fed back by the scheduling subsystem;
the target satellite service server is used for:
responding to the received service request, and determining the server execution logic corresponding to the service request;
a target server in the server cluster, configured to:
and controlling each target satellite application service to execute the target task corresponding to the target satellite application service according to the received server execution logic, packing the execution result of each target task, and sending the packed result to the scheduling subsystem as the execution result of the server execution logic.
In a third aspect, an embodiment of the present application provides a scheduling apparatus for satellite service resources, where the scheduling apparatus is applied to a scheduling subsystem of a satellite application service system, where the satellite application service system includes: the system comprises a plurality of satellite service clients, a scheduling subsystem, a plurality of satellite service servers and a server cluster; the scheduling device comprises:
a first determining module, configured to receive, for each satellite service client, a service request sent by the satellite service client, and determine, according to an internet protocol address included in the service request, a target satellite service server for responding to the service request from the multiple satellite service servers in a reverse proxy manner;
the first transmission module is used for sending the service request to the target satellite service terminal and receiving server execution logic sent by the target satellite service terminal, wherein the server execution logic is obtained by the target satellite service terminal in response to the service request; the server execution logic comprises: completing target satellite application services required by the service request and target tasks required to be executed by each target satellite application service;
the second determining module is used for determining a server meeting the request response condition from the server cluster as a target server according to the working state and the working performance of each server in the server cluster;
and the second transmission module is used for sending the server execution logic to the target server, receiving an execution result of the server execution logic executed by the target server, and sending the execution result to the satellite service client.
In a fourth aspect, the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the scheduling method for satellite service resources described above when executing the computer program.
In a fifth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the scheduling method for satellite service resources.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
the scheduling method provided by the application is applied to a scheduling subsystem of a satellite application service system, wherein the satellite application service system comprises: the system comprises a plurality of satellite service clients, a scheduling subsystem, a plurality of satellite service servers and a server cluster; the method comprises the steps that for each satellite service client, a service request sent by the satellite service client is received, and a target satellite service server used for responding to the service request is determined from a plurality of satellite service servers in a reverse proxy mode according to an internet protocol address included in the service request; then, the service request is sent to the target satellite service end, and server execution logic sent by the target satellite service end is received; determining a server meeting the request response condition from the server cluster as a target server according to the working state and the working performance of each server in the server cluster; and sending the server execution logic to the target server, receiving an execution result of the server execution logic by the target server, and sending the execution result to the satellite service client.
By performing differentiated scheduling on service resources corresponding to service requests of different service types, the scheduling mode of satellite service resources in the satellite application service system is optimized, the operation and maintenance cost of the satellite application service system is reduced, and the high-concurrency satellite data processing requirement is met better.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart illustrating a scheduling method for satellite service resources according to an embodiment of the present application;
fig. 2 is a schematic structural diagram illustrating a satellite application service system according to an embodiment of the present application;
FIG. 3 is a flow chart illustrating a method for determining a target server according to an embodiment of the present disclosure;
fig. 4 is a flowchart illustrating a method for controlling start and stop of all satellite application services installed on each server in a server cluster according to an embodiment of the present application;
fig. 5 is a schematic flowchart illustrating another method for controlling start and stop of all satellite application services installed on each server in a server cluster according to an embodiment of the present application;
fig. 6 is a schematic structural diagram illustrating a scheduling apparatus for satellite service resources according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a computer device 700 according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
Embodiments of the present application provide a method, a system, a device, and a storage medium for scheduling satellite service resources, which are described below with reference to embodiments.
Example one
Fig. 1 is a flowchart illustrating a scheduling method for a satellite service resource according to an embodiment of the present application, where the scheduling method is applied to a scheduling subsystem of a satellite application service system, where the satellite application service system includes: the system comprises a plurality of satellite service clients, a scheduling subsystem, a plurality of satellite service servers and a server cluster; the scheduling method comprises steps S101-S104; specifically, the method comprises the following steps:
s101, aiming at each satellite service client, receiving a service request sent by the satellite service client, and determining a target satellite service server for responding to the service request from the plurality of satellite service servers in a reverse proxy mode according to an internet protocol address included in the service request.
In this embodiment of the present application, fig. 2 shows a schematic structural diagram of a satellite application service system provided in this embodiment of the present application, where the satellite application service system includes: a plurality of satellite service clients 100, a scheduling subsystem 200, a plurality of satellite service servers 300, and a server cluster 400; the server cluster 400 includes a plurality of servers capable of running in parallel; the scheduling subsystem 200 includes: load balancing clusters 201, nginx clusters 202, and neural networks 203.
Specifically, according to actual service requirements in the technical field of satellite service application, as an optional embodiment, the number of the satellite service clients 100 may be the same as the number of the satellite service servers 300, that is, each service type includes one satellite service client 100 and one satellite service server 300; for example, the satellite service client 100 shown in fig. 2 may specifically include: the system comprises a ground control system client, a satellite test system client, a satellite operation control system client and a satellite simulation system client; the corresponding satellite service server 300 may include: the system comprises a ground control system server, a satellite test system server, a satellite operation control system server and a satellite simulation system server.
It should be noted that, as the service requirements increase, each new service requirement is added, a satellite service client 100 and a satellite service server 300 may be dynamically added in the satellite application service system according to the service type to which the new service requirement belongs, and the satellite application service required by the new service type is installed in each server in the server cluster 400, without modifying the overall architecture of the satellite application service system. Therefore, the satellite service resources are scheduled under the framework of the satellite application service system, the stability of data flow of the satellite service resources is improved, and the operation and maintenance cost of the satellite application service system is reduced.
In this embodiment, taking the satellite service system shown in fig. 2 as an example, the load balancing cluster 201 and the nginx cluster 202 are both loosely coupled multiprocessor systems formed by a group of computer systems, and inside the load balancing cluster 201 and the nginx cluster 202, the processors implement inter-process communication through a network, thereby implementing distributed computing; taking nginx cluster 202 as an example, the nginx cluster may be a distributed computing system composed of a plurality of reverse proxy servers.
Specifically, referring to fig. 2, a load balancing cluster 201 in the scheduling subsystem 200 receives a service request (i.e., a client request) sent by each satellite service client 100, and for each received service request, the load balancing cluster 201 determines, according to the working state of each reverse proxy server in the nginx cluster 202, a reverse proxy server with the most idle working state as a target reverse proxy server; the load balancing cluster 201 forwards the currently received service request to a target reverse proxy server in a route skipping manner; after receiving the service request, the target reverse proxy server may determine, according to an ip address (i.e., an internet protocol address) included in the service request, the satellite service client 100 corresponding to the ip address, and the target reverse proxy server may use, as a target service type, a service type to which the satellite service client 100 corresponding to the ip address belongs, and further, according to the determined target service type, determine, from the plurality of satellite service servers 300, a satellite service server to which the service type to which the satellite service client belongs is the target service type, as a target satellite service server for responding to the service request.
And S102, sending the service request to the target satellite service terminal, and receiving a server execution logic sent by the target satellite service terminal.
Specifically, the server execution logic is obtained by the target satellite service server in response to the service request; the server execution logic comprises: and completing target satellite application services required by the service request and target tasks required to be executed by each target satellite application service.
For an exemplary illustration, taking a satellite service client as a satellite test system client as an example, the satellite test system client sends a service request a with a service type of satellite test to the load balancing cluster 201, and the load balancing cluster 201 determines, according to the working state of each reverse proxy server in the nginx cluster 202, a reverse proxy server a with the most idle current working state as a target reverse proxy server, and sends the service request a to the reverse proxy server a in a route skipping manner; the reverse proxy server A determines that a sender of the service request a is a satellite test system client according to an ip address included in the service request a, so that the target service type is determined to be a satellite test, the reverse proxy server A determines a satellite test system server belonging to the satellite test service terminal with the service type as a target satellite service server for responding to the service request a from a plurality of satellite service servers 300, and the reverse proxy server A sends the service request a to the satellite test system server; after receiving the service request a, the satellite testing system server analyzes the service request a by taking the service request a as an analysis target, analyzes the service request a into target tasks a1, a2 and a3 to be completed, and according to the target satellite application service corresponding to each analyzed target task, can determine that the server execution logic required for completing the service request a is: the target satellite application service a1 performs the target task a1, the target satellite application service a2 performs the target task a2, and the target satellite application service A3 performs the target task A3; and the satellite test system server side sends the determined server execution logic to the reverse proxy server A in the nginx cluster 202.
S103, according to the working state and the working performance of each server in the server cluster, determining the server meeting the request response condition from the server cluster as a target server.
In this embodiment, referring to fig. 2, the scheduling subsystem 200 further includes a neural network 203, the neural network 203 is equivalent to a brain of the scheduling subsystem 200, the neural network 203 manages a plurality of satellite service servers 300 and a server cluster 400 in the satellite application service system under a unified communication protocol, and data transmission between the satellite service servers 300 and the server cluster 400 is completed by automatic configuration and forwarding of the neural network 203.
Specifically, in the management process, the neural network 203 communicates with each satellite service terminal 300 and the server cluster 400 through the communication protocol, the working performance of each satellite service terminal 300 and each server in the server cluster 400 is periodically detected according to a preset detection period, and when the satellite service terminal 300 or the server with abnormal working performance is detected, the neural network 203 can send prompt information to a user to prompt the user to maintain the satellite service terminal 300 or the server with abnormal working performance.
In a possible embodiment, a specific satellite application service for completing a service request is not installed in the satellite service terminal 300, and the satellite service terminal 300 determines a server execution logic for completing the service request in response to the received service request, and then sends the server execution logic to a target server through the neural network 203, and the target server executes the server execution logic to obtain an actual response result of the service request; on this basis, fig. 3 shows a schematic flowchart of a method for determining a target server according to an embodiment of the present application, and as shown in fig. 3, when step S103 is executed, the method further includes S301-S303; specifically, the method comprises the following steps:
s301, in the management process, the neural network performs periodic health detection on the working performance of each server in the server cluster according to a preset detection period, and obtains the health detection result of each server in the current detection period.
Specifically, if the preset detection period is 10 seconds, the neural network performs periodic health detection on the working performance of each server in the server cluster every 10 seconds, and in each health detection period, the neural network may obtain a health detection result of each server, where the health detection result is used to characterize the working performance condition of each server, and the health detection result may include: and index values of a plurality of preset working performance indexes.
S302, the neural network takes the server with the working performance meeting the first preset condition as a standby server according to the health detection result of each server.
Specifically, the health detection results are as follows: for example, the index values of the plurality of preset work performance indexes of each server are used, and the first preset condition may be that the number of the preset work performance indexes with the index values located in the normal work interval is greater than or equal to a first preset threshold.
Illustratively, if the preset working performance index is working performance index 1, working performance index 2, working performance index 3, working performance index 4, and working performance index 5, the first preset threshold is 3; taking the server x in the server cluster as an example, if the health detection result of the server x shows that: the working performance index 1, the working performance index 2, the working performance index 3 and the working performance index 4 of the server x are all located in the normal working interval of each index, and the working performance index 5 is located outside the normal working interval of the working performance index 5, so that the number of the working performance indexes with normal index values in the server x is 4 and is greater than a first preset threshold value, therefore, the server x is determined to meet a first preset condition, and the server x can be used as an alternative server.
S303, the neural network determines the candidate server with the most idle working state as the target server according to the working state of each candidate server.
For example, if 5 candidate servers are determined according to the method described in step S302, the candidate server with the shortest work queue length is determined as the candidate server with the most idle work state according to the work queue length in each candidate server, and the candidate server with the most idle work state is determined as the target server from the 5 candidate servers.
It should be noted that, in addition to the above management function and health detection function, the neural network 203 may also configure functions such as route distribution, application service management, application service interaction, and language development compatibility according to actual satellite service resource scheduling requirements, and the specific functions configured by the neural network 203 are not limited in this application.
And S104, sending the server execution logic to the target server, receiving an execution result of the server execution logic executed by the target server, and sending the execution result to the satellite service client.
In the embodiment of the application, each server in the server cluster is provided with a satellite application service for satisfying all types of service requests, wherein each satellite application service is stored in an independent docker container in a packing mirror image manner, and each docker container is subjected to modular control and management through a unified K8S management tool; wherein the docker container is a portable container installed on the server; the K8S management tool is known as kubernets and the K8S management tool is an orchestration management tool for portable containers generated for container services.
Specifically, for each server in the server cluster, each satellite application service to be installed may be packaged into a docker image in advance and stored in an independent docker container; each server in the server cluster is installed with a satellite application service for satisfying all types of service requests, so each server in the server cluster can independently respond to service requests under different service types, after the target server is determined in the manner of step S103, the target server responds to the received server execution logic to control each satellite application service on the target server to execute a corresponding target task, after all target tasks are executed, the target server packages the execution result of each target task, and the packaged result is used as the execution result of the server execution logic, taking the satellite application service system shown in fig. 2 as an example, according to the target server in the server cluster 400, the neural network 203, the target satellite service server in the satellite service server 300, the target satellite service server, the target service server, and the target service server, The nginx cluster, the load balancing cluster and the satellite service client 100 send the execution result to the satellite service client 100 where the service request sender is located in the original way, and complete response process to the service request (i.e. the satellite service resource scheduling process for responding to the service request) is completed.
Further, considering that the orbit period of the satellite is fixed, and the transit monitoring time interval of the satellite has a periodic change rule, on this basis, in order to reduce the operation and maintenance cost of the satellite application service system, in a feasible embodiment, fig. 4 shows a schematic flow chart of a method for controlling starting and stopping of all satellite application services installed on each server in a server cluster, which is provided by an embodiment of the present application, as shown in fig. 4, the scheduling subsystem controls starting and stopping of the satellite application services in each docker container by a following method, which specifically includes S401 to S404; specifically, the method comprises the following steps:
s401, the scheduling subsystem determines the time interval of each transit monitoring of the target satellite as the high concurrency time interval of resource scheduling according to the transit monitoring time interval of the target satellite and the orbital operation period of the target satellite.
For an exemplary illustration, taking the target satellite m as an example, according to historical monitoring data of the target satellite m, if the monitoring transit time interval of the target satellite m is the time interval c and the time interval d, and the orbital operation cycle of the target satellite m is 10 months, on the basis of the time interval c and the time interval d, taking 10 months as one cycle, the time interval c 'and the time interval d' of each subsequent monitoring transit of the target satellite m can be obtained, and according to a periodic rule of 10 months, the time interval c 'and the time interval d' in each cycle are taken as high concurrence time intervals of resource scheduling corresponding to the target satellite m.
S402, in each high concurrency time interval, the scheduling subsystem controls the satellite application service in each docker container to be in a running state through the K8S management tool.
Illustratively, according to the above example, in each orbital operation cycle according to the orbital operation cycle of the target satellite m, when the satellite application services are in the high concurrency time interval c 'and the high concurrency time interval d', the satellite application services in all docker containers installed on each server in the server cluster are controlled to be in the running state through the K8S management tool, so as to meet the requirement of satellite data processing with a rapidly increasing number under high concurrency.
And S403, the scheduling subsystem determines the time interval of the target satellite in the data acquisition idle period each time as the idle time interval of resource scheduling according to the time interval of the target satellite in the data acquisition idle period and the orbital operation period of the target satellite.
S404, in each idle time interval, the scheduling subsystem controls the satellite application service in each docker container to be in a closed state through the K8S management tool.
Specifically, in combination with steps S403-S404, considering that the orbital operation period of some target satellites is long, for example, the orbital operation period of the target satellite n may be 2 years, at this time, for the target satellites with long orbital operation periods, the high concurrency time intervals of these target satellites are long, so that they are in the data acquisition idle period for a long time; therefore, as with the method in steps S401 to S402, the scheduling subsystem may further control, according to the orbital operation period of the target satellite, when the idle time interval is in each orbital operation period, the satellite application services in all docker containers installed on each server in the server cluster to be in a closed state through the K8S management tool, so as to reduce the operation and maintenance cost of the satellite application service system.
In a possible implementation, fig. 5 shows a schematic flow chart of another method for performing start-stop control on all satellite application services installed on each server in a server cluster provided in an embodiment of the present application, and as shown in fig. 5, the scheduling subsystem may further perform start-stop control on the satellite application services in each docker container by using the following method, where the method specifically includes S501 to S503; specifically, the method comprises the following steps:
s501, aiming at the satellite application service in each docker container, the scheduling subsystem determines a service idle period corresponding to the satellite application service according to the service type of the satellite application service.
S502, the scheduling subsystem controls the satellite application service in each docker container to be in a closed state in a service idle period of the satellite application service through the K8S management tool.
S503, the scheduling subsystem controls, through the K8S management tool, the satellite application service in each docker container to be in a running state outside a service idle period of the satellite application service.
Specifically, as can be known from steps S501 to S503, considering that the service idle periods corresponding to the satellite application services under different service types are not the same, for example, the satellite application service c1 may be in the service idle period between 8 points and 9 points of each day, and the satellite application service d1 may be in the service idle period between 13 points and 14 points of each day, so that, except for performing the unified start-stop control on all the satellite application services in the manner of steps S401 to S404, the start-stop control on the satellite application services under different service types can be further performed according to the method of steps S501 to S503 according to the actual service idle periods corresponding to the satellite application services under different service types.
Example two
Fig. 2 is a schematic structural diagram illustrating a satellite application service system according to an embodiment of the present application, where the satellite application service system includes: a plurality of satellite service clients 100, a scheduling subsystem 200, a plurality of satellite service servers 300, and a server cluster 400; a scheduling subsystem 200 for:
for each satellite service client 100, receiving a service request sent by the satellite service client 100, and determining a target satellite service server for responding to the service request from a plurality of satellite service servers 300 in a reverse proxy manner according to an internet protocol address included in the service request;
sending the service request to the target satellite service terminal, and receiving server execution logic sent by the target satellite service terminal, wherein the server execution logic is obtained by the target satellite service terminal in response to the service request; the server execution logic comprises: completing target satellite application services required by the service request and target tasks required to be executed by each target satellite application service;
according to the working state and the working performance of each server in the server cluster 400, determining a server meeting the request response condition as a target server from the server cluster 400;
sending the server execution logic to the target server, receiving an execution result of the server execution logic from the target server, and sending the execution result to the satellite service client 100;
a satellite service client 100 for:
sending the service request to the scheduling subsystem 200, and receiving the execution result fed back by the scheduling subsystem 200;
the target satellite service server is used for:
responding to the received service request, and determining the server execution logic corresponding to the service request;
a target server in the server cluster 400 to:
and according to the received server execution logic, controlling each target satellite application service to execute the target task corresponding to the target satellite application service, packing the execution result of each target task, and sending the packed result to the scheduling subsystem 200 as the execution result of the server execution logic.
Optionally, the scheduling subsystem 200 includes: load balancing clusters 201, nginx clusters 202, and neural networks 203.
Optionally, when determining, by means of a reverse proxy, a target satellite service server for responding to the service request from the plurality of satellite service servers, the load balancing cluster 201 is configured to:
determining a reverse proxy server with the most idle working state as a target reverse proxy server according to the working state of each reverse proxy server in the nginx cluster 202;
forwarding the service request to the target reverse proxy server in a route skipping mode;
the target reverse proxy server is used for determining the service type of the satellite service client corresponding to the internet protocol address as a target service type according to the internet protocol address included in the service request;
according to the determined target service type, determining a satellite service server with the service type being the target service type from the plurality of satellite service servers 300 as the target satellite service server.
Optionally, the neural network 203 is configured to manage the plurality of satellite service servers and the server cluster under a unified communication protocol; when determining a server meeting the request response condition as a target server from the server cluster 400 according to the operating state and the operating performance of each server in the server cluster 400, the neural network 203 is configured to:
in the management process, according to a preset detection period, performing periodic health detection on the working performance of each server in the server cluster 400, and acquiring the health detection result of each server in the current detection period;
according to the health detection result of each server, taking the server with the working performance meeting a first preset condition as an alternative server;
and determining the alternative server with the most idle working state as the target server according to the working state of each alternative server.
Optionally, a satellite application service for satisfying all types of service requests is installed on each server in the server cluster 400, where each satellite application service is stored in an independent docker container in a packed mirror manner, and each docker container performs modular control and management through a unified K8S management tool.
Optionally, the scheduling subsystem 200 performs start-stop control on the satellite application service in each docker container by using the following method, and the scheduling subsystem 200 is specifically configured to:
determining a time interval of each transit monitoring of the target satellite as a high concurrency time interval of resource scheduling according to the transit monitoring time interval of the target satellite and the orbital operation period of the target satellite;
controlling the satellite application service in each docker container to be in a running state through the K8S management tool in each high concurrency time interval;
determining a time interval of a target satellite in a data acquisition idle period as an idle time interval of resource scheduling according to the time interval of the target satellite in the data acquisition idle period and the orbital operation period of the target satellite;
controlling, by the K8S management tool, the satellite application service in each docker container to be in a closed state during each idle time interval.
Optionally, the scheduling subsystem 200 further performs start-stop control on the satellite application service in each docker container by using the following method, and the scheduling subsystem 200 is further specifically configured to:
aiming at the satellite application service in each docker container, determining a service idle period corresponding to the satellite application service according to the service type of the satellite application service;
controlling, by the K8S management tool, the satellite application service in each docker container to be in an off state during a service idle period of the satellite application service;
controlling, by the K8S management tool, that the satellite application service in each docker container is in a running state outside a service idle period of the satellite application service.
Optionally, the satellite application service system may further include: and a data center (not shown in the figure), including a data cache library under multiple service types, for storing an execution result of each target server on the server execution logic.
EXAMPLE III
Fig. 6 is a schematic structural diagram illustrating a scheduling apparatus for a satellite service resource according to an embodiment of the present application, where the scheduling apparatus is applied to a scheduling subsystem of a satellite application service system, where the satellite application service system includes: the system comprises a plurality of satellite service clients, a scheduling subsystem, a plurality of satellite service servers and a server cluster; the scheduling device comprises:
a first determining module 601, configured to receive, for each satellite service client, a service request sent by the satellite service client, and determine, according to an internet protocol address included in the service request, a target satellite service server for responding to the service request from the multiple satellite service servers in a reverse proxy manner;
a first transmission module 602, configured to send the service request to the target satellite service end, and receive a server execution logic sent by the target satellite service end, where the server execution logic is obtained by the target satellite service end in response to the service request; the server execution logic comprises: completing target satellite application services required by the service request and target tasks required to be executed by each target satellite application service;
a second determining module 603, configured to determine, according to a working state and a working performance of each server in the server cluster, a server that meets a request response condition from the server cluster as a target server;
a second transmission module 604, configured to send the server execution logic to the target server, receive an execution result of the server execution logic performed by the target server, and send the execution result to the satellite service client.
Optionally, the scheduling subsystem includes: load balancing clusters, nginx clusters, and neural networks.
Optionally, when determining the target satellite service end for responding to the service request, the first determining module 601 is specifically configured to:
determining a reverse proxy server with the most idle working state as a target reverse proxy server according to the working state of each reverse proxy server in the nginx cluster through the load balancing cluster;
forwarding the service request to the target reverse proxy server through the load balancing cluster in a route skipping mode;
determining a service type of a satellite service client corresponding to the internet protocol address as a target service type according to the internet protocol address included in the service request by the target reverse proxy server;
and determining a satellite service server with the service type being the target service type from the plurality of satellite service servers as the target satellite service server according to the determined target service type through the target reverse proxy server.
Optionally, the neural network manages the plurality of satellite service servers and the server cluster under a uniform communication protocol, and when a server meeting a request response condition is determined as a target server from the server cluster according to a working state and a working performance of each server in the server cluster, the second determining module 603 is specifically configured to:
in the management process, carrying out periodic health detection on the working performance of each server in the server cluster through the neural network according to a preset detection period, and acquiring the health detection result of each server in the current detection period;
taking a server with working performance meeting a first preset condition as an alternative server according to the health detection result of each server through the neural network;
and determining the alternative server with the most idle working state as the target server according to the working state of each alternative server through the neural network.
Optionally, a satellite application service for satisfying all types of service requests is installed on each server in the server cluster, where each satellite application service is stored in an independent docker container in a packed mirror image manner, and each docker container performs componentized control and management through a unified K8S management tool.
Optionally, the scheduling device further includes a start-stop control module, the start-stop control module performs start-stop control on the satellite application service in each docker container by using the following method, and the start-stop control module is specifically configured to:
determining a time interval of each transit monitoring of the target satellite as a high concurrency time interval of resource scheduling according to the transit monitoring time interval of the target satellite and the orbital operation period of the target satellite;
controlling the satellite application service in each docker container to be in a running state through the K8S management tool in each high concurrency time interval;
determining a time interval of a target satellite in a data acquisition idle period as an idle time interval of resource scheduling according to the time interval of the target satellite in the data acquisition idle period and the orbital operation period of the target satellite;
controlling, by the K8S management tool, the satellite application service in each docker container to be in a closed state during each idle time interval.
Optionally, the start-stop control module is further configured to perform start-stop control on the satellite application service in each docker container by using the following method, and the start-stop control module is further specifically configured to:
aiming at the satellite application service in each docker container, determining a service idle period corresponding to the satellite application service according to the service type of the satellite application service;
controlling, by the K8S management tool, the satellite application service in each docker container to be in an off state during a service idle period of the satellite application service;
controlling, by the K8S management tool, that the satellite application service in each docker container is in a running state outside a service idle period of the satellite application service.
Example four
As shown in fig. 7, an embodiment of the present application provides a computer device 700 for performing the scheduling method of satellite service resources in the present application, the device includes a memory 701, a processor 702, and a computer program stored in the memory 701 and executable on the processor 702, wherein the processor 702 implements the steps of the scheduling method of satellite service resources when executing the computer program.
Specifically, the memory 701 and the processor 702 may be general memories and processors, which are not limited in particular, and when the processor 702 runs a computer program stored in the memory 701, the scheduling method for the satellite service resource can be executed.
Corresponding to the scheduling method of satellite service resources in the present application, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program is executed by a processor to perform the steps of the scheduling method of satellite service resources.
In particular, the storage medium can be a general-purpose storage medium, such as a removable disk, a hard disk, or the like, and when executed, the computer program on the storage medium can execute the above-mentioned scheduling method for satellite service resources.
In the embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and there may be other divisions in actual implementation, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of systems or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. A scheduling method of satellite service resources is applied to a scheduling subsystem of a satellite application service system, wherein the satellite application service system comprises: the system comprises a plurality of satellite service clients, a scheduling subsystem, a plurality of satellite service servers and a server cluster; the scheduling method comprises the following steps:
for each satellite service client, receiving a service request sent by the satellite service client, and determining a target satellite service server for responding to the service request from the plurality of satellite service servers in a reverse proxy mode according to an internet protocol address included in the service request;
sending the service request to the target satellite service terminal, and receiving server execution logic sent by the target satellite service terminal, wherein the server execution logic is obtained by the target satellite service terminal in response to the service request; the server execution logic comprises: completing target satellite application services required by the service request and target tasks required to be executed by each target satellite application service;
according to the working state and the working performance of each server in the server cluster, determining a server meeting a request response condition from the server cluster as a target server;
and sending the server execution logic to the target server, receiving an execution result of the server execution logic from the target server, and sending the execution result to the satellite service client.
2. The scheduling method of claim 1 wherein the scheduling subsystem comprises: load balancing clusters, nginx clusters, and neural networks.
3. The scheduling method of claim 2, wherein the determining, by means of a reverse proxy, a target satellite service server from the plurality of satellite service servers for responding to the service request comprises:
the load balancing cluster determines a reverse proxy server with the most idle working state as a target reverse proxy server according to the working state of each reverse proxy server in the nginx cluster;
the load balancing cluster forwards the service request to the target reverse proxy server in a route skipping mode;
the target reverse proxy server determines the service type of the satellite service client corresponding to the internet protocol address as a target service type according to the internet protocol address included in the service request;
and the target reverse proxy server determines a satellite service server with the service type being the target service type from the plurality of satellite service servers as the target satellite service server according to the determined target service type.
4. The scheduling method of claim 2, wherein the neural network manages the plurality of satellite service servers and the server cluster under a unified communication protocol, and the determining, from the server cluster, a server meeting a request response condition as a target server according to the working state and the working performance of each server in the server cluster comprises:
in the management process, the neural network carries out periodic health detection on the working performance of each server in the server cluster according to a preset detection period, and obtains the health detection result of each server in the current detection period;
the neural network takes the server with the working performance meeting a first preset condition as an alternative server according to the health detection result of each server;
and the neural network determines the alternative server with the most idle working state as the target server according to the working state of each alternative server.
5. The scheduling method of claim 1, wherein a satellite application service for satisfying all types of service requests is installed on each server in the server cluster, wherein each satellite application service is stored in a separate docker container by means of a packed mirror image, and each docker container is controlled and managed in a componentized manner by a unified K8S management tool.
6. The scheduling method of claim 5, wherein the scheduling subsystem performs start-stop control on the satellite application service in each docker container by:
the scheduling subsystem determines a time interval of each transit monitoring of the target satellite as a high concurrency time interval of resource scheduling according to the transit monitoring time interval of the target satellite and the orbital operation period of the target satellite;
in each high concurrency time interval, the scheduling subsystem controls the satellite application service in each docker container to be in a running state through the K8S management tool;
the scheduling subsystem determines a time interval of each target satellite in the data acquisition idle period as an idle time interval of resource scheduling according to the time interval of the target satellite in the data acquisition idle period and the orbital operation period of the target satellite;
and in each idle time interval, the scheduling subsystem controls the satellite application service in each docker container to be in a closed state through the K8S management tool.
7. The scheduling method of claim 5, wherein the scheduling subsystem further performs start-stop control on the satellite application service in each of the docker containers by:
aiming at the satellite application service in each docker container, the scheduling subsystem determines a service idle period corresponding to the satellite application service according to the service type of the satellite application service;
the scheduling subsystem controls the satellite application service in each docker container to be in a closed state in a service idle period of the satellite application service through the K8S management tool;
and the scheduling subsystem controls the satellite application service in each docker container to be in a running state outside the service idle period of the satellite application service through the K8S management tool.
8. A satellite application service system, the satellite application service system comprising: the system comprises a plurality of satellite service clients, a scheduling subsystem, a plurality of satellite service servers and a server cluster; the scheduling subsystem is configured to:
for each satellite service client, receiving a service request sent by the satellite service client, and determining a target satellite service server for responding to the service request from the plurality of satellite service servers in a reverse proxy mode according to an internet protocol address included in the service request;
sending the service request to the target satellite service terminal, and receiving server execution logic sent by the target satellite service terminal, wherein the server execution logic is obtained by the target satellite service terminal in response to the service request; the server execution logic comprises: completing target satellite application services required by the service request and target tasks required to be executed by each target satellite application service;
according to the working state and the working performance of each server in the server cluster, determining a server meeting a request response condition from the server cluster as a target server;
sending the server execution logic to the target server, receiving an execution result of the server execution logic from the target server, and sending the execution result to the satellite service client;
the satellite service client is configured to:
sending the service request to the scheduling subsystem, and receiving the execution result fed back by the scheduling subsystem;
the target satellite service server is used for:
responding to the received service request, and determining the server execution logic corresponding to the service request;
a target server in the server cluster, configured to:
and controlling each target satellite application service to execute the target task corresponding to the target satellite application service according to the received server execution logic, packing the execution result of each target task, and sending the packed result to the scheduling subsystem as the execution result of the server execution logic.
9. A scheduling apparatus for satellite service resources, wherein the scheduling apparatus is applied in a scheduling subsystem of a satellite application service system, and the satellite application service system comprises: the system comprises a plurality of satellite service clients, a scheduling subsystem, a plurality of satellite service servers and a server cluster; the scheduling device comprises:
a first determining module, configured to receive, for each satellite service client, a service request sent by the satellite service client, and determine, according to an internet protocol address included in the service request, a target satellite service server for responding to the service request from the multiple satellite service servers in a reverse proxy manner;
the first transmission module is used for sending the service request to the target satellite service terminal and receiving server execution logic sent by the target satellite service terminal, wherein the server execution logic is obtained by the target satellite service terminal in response to the service request; the server execution logic comprises: completing target satellite application services required by the service request and target tasks required to be executed by each target satellite application service;
the second determining module is used for determining a server meeting the request response condition from the server cluster as a target server according to the working state and the working performance of each server in the server cluster;
and the second transmission module is used for sending the server execution logic to the target server, receiving an execution result of the server execution logic executed by the target server, and sending the execution result to the satellite service client.
10. An electronic device, comprising: processor, memory and bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is running, the machine-readable instructions when executed by the processor performing the steps of the method of scheduling satellite service resources according to any one of claims 1 to 7.
11. A computer-readable storage medium, having stored thereon a computer program for performing, when being executed by a processor, the steps of the method for scheduling satellite service resources according to any one of claims 1 to 7.
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