CN115622893A - Distributed arrangement system and method for space-based network edge micro-service - Google Patents
Distributed arrangement system and method for space-based network edge micro-service Download PDFInfo
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Abstract
The invention relates to a distributed arrangement system and a distributed arrangement method for space-based network edge micro-services, which comprise a K8S controller and an ODL controller; the K8S controller and the ODL controller are both positioned on a control plane, southbound interfaces of the K8S controller and the ODL controller are respectively connected with a data plane, and northbound interfaces of the K8S controller and the ODL controller are respectively connected with an application plane; the ODL controller is used for issuing a flow table and allocating link bandwidth to the managed K8S controller; the K8S controller is used for arranging and deploying the micro-service components required by the user to the target node, carrying out actual deployment and reconfiguration of operation tasks on the deployed micro-service components, and determining the deployment position of the micro-service components in the data plane, the resource allocation amount of the micro-service components, the flow table configuration of the whole network and the bandwidth allocation among the nodes; the application plane is used for generating the task requirements of the user and generating the arrangement result.
Description
Technical Field
The invention relates to the field of distributed lightweight arrangement under a space-based network edge computing scene, in particular to a distributed arrangement system and a distributed arrangement method for a space-based network edge micro-service based on a micro-service architecture.
Background
With the rapid development of the internet, a large number of emerging service applications, such as Virtual Reality (VR), augmented reality, interactive games, etc., are emerging at the edge of the network, resulting in an explosive increase in the demand of edge services and edge services. On the other hand, due to the rapid development of the satellite network, the conventional satellite network only functions as an information transmission pipeline, which has seriously hindered the rapid development of the satellite network, and is difficult to be applied to the aforementioned emerging massive Edge service application with low latency requirement, so the space-based Mobile Edge Computing (satellite Mobile Edge Computing, satellite MEC) is in time. The computing method sinks the computing power of the cloud center to the edge of a space-based network (such as edge network nodes including satellite nodes and satellite communication base station nodes), and provides physical resources such as computing, storage and bandwidth at the edge of the network so as to achieve the purpose of providing services at a user side and guarantee the deterministic delivery of time delay sensitive services.
In order to meet the above requirements, the method in the prior art ensures smooth execution of task requirements of users by deploying a general server on a base station side or a satellite and running micro-service services required by users in the general server. To ensure robust operation of the smart agent, open source software such as Opendaylight (ODL), kubernetes (K8S), K3S, kubeEdge, etc. is introduced into the skyhook edge network.
However, in the prior art, the ODL controller is responsible for maintaining and managing the network topology, which has the advantages of facilitating expansion of the network scale and facilitating centralized management and control of the network topology, but the controller also has the disadvantage that the stability is insufficient due to failure of a single node. The K8S controller can ensure the automatic operation and maintenance of the micro-service and provide a stable operation environment, and the defect that the network scale is difficult to expand is embodied.
Disclosure of Invention
Aiming at the problems that the network built by the ODL software lacks stability and the network built by the Kubernetes software is difficult to expand the network scale, the invention aims to provide a distributed arrangement system and a distributed arrangement method for the edge microservice of the space-based network, which can be expanded to a large scale and a light weight.
In order to realize the purpose, the invention adopts the following technical scheme: in a first aspect, a distributed orchestration system for space-based network edge microservices is provided, comprising a K8S controller and an ODL controller;
the K8S controller and the ODL controller are both positioned on a control plane, southbound interfaces of the K8S controller and the ODL controller are respectively connected with a data plane, and northbound interfaces of the K8S controller and the ODL controller are respectively connected with an application plane;
the data plane is used for storing network topology of a bottom layer, deployment conditions of micro service components, physical resource information and user request information;
the ODL controller is used for issuing a flow list to the controlled K8S controller and allocating link bandwidth, and providing physical topological support of a bottom layer for the K8S controller;
the K8S controller is used for arranging and deploying micro-service components required by a user to a target node, carrying out actual arrangement and operation task reconfiguration on the arranged micro-service components according to user task requirements and arrangement results sent by the application plane, and determining the arrangement position of the micro-service components in the data plane, the resource allocation quantity of the micro-service components, the flow table configuration of the whole network and the bandwidth allocation among the nodes based on the physical topological support of the ODL controller;
and the application plane is used for generating user task requirements and generating an arrangement result according to the physical resource information and the user request information of the data plane.
Furthermore, the K8S controller is deployed in a general server corresponding to each base station, and the ODL controller is deployed in a container of the K8S controller deployed by a part of the general servers.
Further, still be provided with in the management and control plane:
the satellite-borne control manager is used for determining the deployment position of the micro service components in the data plane, the resource allocation quantity of the micro service components, the flow table configuration of the whole network and the bandwidth allocation among nodes based on the physical topological support of the ODL controller;
the satellite-borne service scheduler is arranged in each newly created container or non-scheduled container and is used for arranging and deploying the micro service components required by the user to the target node and selecting the optimal node to operate the container;
and the life cycle manager is used for carrying out actual deployment and reconfiguration of operation tasks on the deployed micro-service components according to the user task requirements and the deployment results sent by the application plane, and managing the life cycle of each container.
Further, the deployment in the data plane further includes an OpenFlow switch for communication between the ODL controller and a repeater.
Further, the OpenFlow switch includes a physical switch and a virtual switch.
Further, still be provided with in the management and control plane:
the topology manager is used for managing the topology connection relation among the OpenFlow switches;
and the network flow table is used for ensuring the forwarding of the user service data flow processed by the OpenFlow switch and the bandwidth allocation of the network link.
Further, the deploying within the data plane comprises:
based on the instruction of the K8S controller, the image file is pulled from the cloud image center and deployed at the edge of the space-based network, a pod is created, the image file is operated, and the space-based microservice is started to meet the computing requirement of the edge side of the space-based network.
In a second aspect, a distributed orchestration method for space-based network edge microservice is provided, including:
deploying a K8S controller in a universal server corresponding to each base station, and deploying ODL controllers in containers of the K8S controllers deployed by part of universal servers;
the data plane stores the network topology of the bottom layer, the deployment condition of the micro service components, the physical resource information and the user request information;
the ODL controller performs network topology management and bandwidth control among links, and issues a flow table and allocates link bandwidth to the managed and controlled K8S controller;
the K8S controller sends data stored in the data plane to the application plane, and the application plane generates an arrangement result according to the physical resource information of the data plane and the user request information and sends the arrangement result to the K8S controller;
the K8S controller reconfigures the data plane according to the task requirements and the arrangement results of the user, and determines the deployment position of the micro service components in the data plane, the resource allocation quantity of the micro service components, the flow table configuration of the whole network and the bandwidth allocation among the nodes based on the physical topological support of the ODL controller.
In a third aspect, a processing device is provided, which includes computer program instructions, where the computer program instructions are executed by the processing device to implement the steps corresponding to the distributed orchestration method for space-based network edge microservice.
In a fourth aspect, a computer-readable storage medium is provided, where the computer-readable storage medium stores computer program instructions, where the computer program instructions, when executed by a processor, are configured to implement the steps corresponding to the distributed orchestration method for space-based network edge microservices.
Due to the adoption of the technical scheme, the invention has the following advantages:
1. the invention makes up the problem of single node failure of the ODL controller based on the automatic operation and maintenance capability of the Kubernets controller, simultaneously makes up the communication channel among the nodes for the Kubernets controller based on the topological connection function of the underlying network of the ODL controller, and expands the cluster scale of the Kubernets controller.
2. Considering that the resource of the satellite node is limited, the size of the resource occupied by the arranging system becomes an important consideration for the arrangement technology to land on the ground in the space-based scene. The Kubernetes controller and the ODL controller are used as system environments, a distributed lightweight arrangement framework and a device which are suitable for space-based edge scenes are built, and because the two types of software are based on a general Linux operating system, and occupied resources are within an acceptable range. Therefore, the software combination provided by the invention is suitable for a space-based network arrangement platform, and particularly can be used for rapidly arranging the micro-service in real time according to the task requirement of a user under the scene of a space-based multi-domain edge network, rapidly deploying the service and providing a light and stable operation state scene.
3. The ODL controller can execute functions of adding, deleting, changing and retrieving on all physical nodes and virtual nodes in a network, configures SDN flow tables for the nodes, regulates and controls routing paths, achieves load balancing, can be built together on the basis of the physical switch and the virtual switch at the same time, and is extremely high in flexibility.
In conclusion, the method and the device can be widely applied to the field of distributed lightweight arrangement under the circumstance of space-based network edge computing.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Like reference numerals refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a schematic diagram of an application scenario and a logical architecture according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a distributed system architecture according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
It is to be understood that the terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" may be intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "including," and "having" are inclusive and therefore specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order discussed or illustrated, unless specifically identified as an order of performance. It should also be understood that additional or alternative steps may be used.
Although the terms first, second, third, etc. may be used herein to describe various elements, components, regions, layers and/or sections, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms may be only used to distinguish one element, component, region, layer or section from another region, layer or section. Terms such as "first," "second," and other numerical terms when used herein do not imply a sequence or order unless clearly indicated by the context. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the teachings of the example embodiments.
As shown in fig. 1, the present invention is an application scenario and a logical architecture composition of the distributed orchestration system and method for space-based network edge micro-services, wherein the lower half shows the physical topological connection of the edge network. The physical topology is interconnected and intercommunicated by taking base stations (satellite base stations) as cores, a general server is arranged beside each base station, a K8S controller and an ODL controller are deployed in the general server (wherein the ODL controller is deployed only in the base stations with shadows), and all base station nodes are interconnected through satellites. The physical topology after the deployment of the controller can be abstracted to a logical architecture of the upper half part of fig. 1, wherein the ODL controller is responsible for network topology management and bandwidth control between links, but the stability of the ODL controller is insufficient, and once a single node fails, the network is affected, which is an inherent disadvantage of the ODL controller; the K8S controller is responsible for managing and controlling and arranging the intelligent agent, and the stable service of the application service to the user is ensured through the functions of health check, self-repairing, automatic rescheduling, application expansion and rolling upgrade and the like of the intelligent agent. The core control node of Kubernetes is a Master node (Master node), and all slave nodes (Worker nodes) are uniformly managed and controlled by the Master node. The intelligent agent providing service for the user is deployed in the pod, and the container runs on the main node, and all containers can be viewed and arranged in the main node, so that the arrangement logic of the top layer is realized. However, the container arrangement service of the K8S controller needs to be based on the connectivity of the underlying physical network, and this disadvantage results in limitation of the use scale of the K8S controller.
In order to solve the problem of insufficient stability of the ODL controller due to single-node failure and the limitation of the K8S controller on the use scale, the complementarity of the ODL controller and the single-node failure in the industry are considered, and the invention provides a stable, lightweight and highly reliable distributed arrangement system and method for space-based network edge microservice in an edge computing scene, particularly in a space-based edge computing scene, so that the manageability and controllability characteristics of a large-scale network of ODL software and the automation operation and maintenance and stability characteristics of Kubernets software are fully exerted, the advantages and the disadvantages are made up, and the lightweight stabilized operation and maintenance in the large-scale space-based edge network scene is realized. The core flow is as follows: firstly, utilizing an ODL controller to break through a bottom layer physical network and providing bottom layer guarantee for a K8S controller management and control main node; secondly, placing the ODL controller in a container of a K8S controller, and ensuring the stable operation of the ODL controller by using the health check and automatic rescheduling of the K8S controller so as to avoid the single-node failure problem of the SDN controller; finally, the architecture can feed back the network state and the operation state of the intelligent agent to the top-level application and algorithm arrangement module in real time through the northbound interfaces of the K8S controller and the ODL controller, and provide bottom-level physical topology guarantee and stable operation guarantee of application services for the top-level arrangement algorithm.
Example 1
As shown in fig. 2, the present embodiment provides a distributed orchestration system for space-based network edge micro-services, which includes a K8S controller and an ODL controller.
The K8S controller and the ODL controller are both arranged on a control plane, and southbound interfaces of the K8S controller and the ODL controller are respectively connected with the data plane, so that basic control on bottom data is realized. Northbound interfaces of the K8S controller and the ODL controller are respectively connected with the application plane, so that the network topology and the intelligent agent deployment condition of the bottom layer are fed back to the application plane in real time.
The data plane is used for storing data such as network topology of the bottom layer, deployment condition of the micro service components, physical resource information and user request information.
And the ODL controller of the control plane is used for carrying out network topology management and bandwidth control among links, issuing a flow list to the controlled K8S controller and allocating link bandwidth, and providing bottom physical topology support for the K8S controller.
The K8S controller of the control plane is used for arranging and deploying the micro-service components required by the user to the target node so as to respond to the requirement of the edge user, and in addition, the K8S controller is also used for carrying out actual arrangement such as health check, automatic rescheduling, rolling upgrade and the like and reconfiguration of operation tasks on the arranged micro-service components according to the requirement and arrangement result of the user task sent by the application plane, and determining resources such as the arrangement position of the micro-service components in the data plane, the resource allocation quantity of the micro-service components, the flow table configuration of the whole network, the bandwidth allocation among nodes and the like based on the physical topological support of the ODL controller so as to ensure that the application service provides stable service for the user.
The application plane is used for generating user task requirements and generating an arrangement result according to the physical resource information and the user request information of the data plane, namely a deployment result and a resource allocation result of the micro service component.
In a preferred embodiment, the deployment within the data plane comprises:
based on the instruction of the K8S controller, the image file is pulled from the cloud image center and deployed at the edge of the space-based network, a pod is created, the image file is operated, and the space-based microservice is started to meet the calculation requirement of the edge side of the space-based network. Because the K8S controller has an automatic operation and maintenance function, the invention can realize stable operation.
In a preferred embodiment, the deploying in the data plane further comprises: the OpenFlow switch is used as a basic network node for communication between the ODL controller and the repeater.
Specifically, the OpenFlow switch comprises a physical switch and a virtual switch, wherein the physical switch and the virtual switch are both used for data exchange.
In a preferred embodiment, a K8S controller is disposed in a general server corresponding to each base station, and assumes the functions of a master node and a slave node at the same time, that is, each general server exists independently as a master node, and adds its neighbor nodes as slave nodes, and is also managed by the master nodes of its neighbor nodes as slave nodes. Therefore, each general server can manage and control the micro service component operation conditions within a certain range (including the micro service component migration on demand, health check, fault repair, resource allocation and the like).
In a preferred embodiment, an ODL controller is deployed in a container of a K8S controller deployed by a part of the general servers, and issues a flow table and allocates link bandwidth for nodes managed by the ODL controller, so as to ensure connectivity of an underlying network topology. The ODL controller located in the K8S controller is managed and operated by the K8S controller, and because the automatic operation and maintenance function of the K8S controller can effectively avoid faults such as single node failure and the like, an environmental basis can be provided for the stable operation of the ODL controller so as to ensure the high availability of the network.
In a preferred embodiment, a satellite-borne control manager, a satellite-borne service scheduler and a life cycle manager are further arranged in the management and control plane.
The satellite-borne control manager is used for determining resources such as the deployment position of a micro service component, the resource allocation amount of the micro service component, the flow table configuration of the whole network and the bandwidth allocation among nodes in a data plane based on the physical topological support of the ODL controller, and ensuring that the actual state of each resource in a container (Pod) cluster built by the K8S controller is consistent with the expected state defined by a user.
The satellite-borne service scheduler is arranged in each newly created container or non-scheduled container and is used for arranging and deploying the micro-service components required by the user to the target node, and selecting the optimal node to run the container.
The life cycle manager is used for carrying out actual deployment and operational task reconfiguration such as health check, automatic rescheduling, rolling upgrade and the like on the deployed micro service assembly according to user task requirements and arrangement results sent by the application plane, managing the life cycle of each container, timely deleting dead containers and adding effective containers, and managing the life cycle of the containers in real time.
In a preferred embodiment, a topology manager and a network flow table are further disposed in the management and control plane.
The topology manager is one of core modules of a management and control plane, and is used for managing a topology connection relationship between OpenFlow switches (including physical switches and virtual switches), dynamically generating a logical connection of a network topology, and ensuring connectivity and reliability of a bottom-layer network.
The network flow table is the most important table in the OpenFlow, and is used for ensuring that an OpenFlow switch can smoothly handle a conventional forwarding function of a user service data flow, ensuring the correctness of a forwarding position and the speed of a forwarding rate, and ensuring the correctness of the user service data flow and the bandwidth allocation of a network link.
The OpenFlow switch, the topology manager and the network flow table together realize network topology management, data routing and bandwidth control among links.
In a preferred embodiment, the application plane is user-oriented and customized by a user, and specifically, for example, the application plane can perform data driving, algorithm management, data management, task threading, application requirements, and the like.
Example 2
The embodiment provides a distributed arrangement method for space-based network edge microservice, which comprises the following steps:
1) And deploying the K8S controller in the universal server corresponding to each base station, and deploying the ODL controller in the container of the K8S controller deployed by part of the universal servers.
2) The data plane stores data such as network topology of the bottom layer, deployment condition of the micro service components, physical resource information and user request information.
3) And the ODL controller performs network topology management and bandwidth control among links, issues a flow table to the managed and controlled K8S controller and allocates link bandwidth.
4) And the K8S controller sends the data stored in the data plane to the application plane, and the application plane generates an arrangement result according to the physical resource information and the user request information of the data plane and sends the arrangement result to the K8S controller.
5) And the user task requirement is obtained by user definition in the application plane and is sent to the K8S controller.
6) The K8S controller reconfigures actual deployment and operation tasks such as health check, automatic rescheduling and rolling upgrade of the data plane according to the task requirements and arrangement results of the user, and determines resources such as deployment positions of intelligent agents in the data plane, resource allocation amount of the intelligent agents, flow table configuration of the whole network and bandwidth allocation among nodes based on physical topology support of the ODL controller.
Example 3
This embodiment provides a processing device corresponding to the distributed orchestration method for space-based network edge microservice provided in this embodiment 2, and the processing device may be applied to a processing device of a client, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, and the like, to execute the method of embodiment 2.
The processing equipment comprises a processor, a memory, a communication interface and a bus, wherein the processor, the memory and the communication interface are connected through the bus so as to complete mutual communication. The memory stores a computer program that can be run on the processing device, and the processing device executes the space-based network edge microservice distributed orchestration method provided in embodiment 2 when running the computer program.
In some implementations, the Memory may be a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory, such as at least one disk Memory.
In other implementations, the processor may be any type of general-purpose processor, such as a Central Processing Unit (CPU), a Digital Signal Processor (DSP), etc., and is not limited thereto.
In addition, the logic instructions in the memory may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that the above-described configurations of computing devices are merely some of the configurations associated with the present application, and do not constitute a limitation on the computing devices to which the present application may be applied, and that a particular computing device may include more or fewer components, or some components may be combined, or have a different arrangement of components.
Example 4
This embodiment provides a computer program product corresponding to the distributed orchestration method for space-based network edge microservices provided in this embodiment 2, and the computer program product may include a computer readable storage medium on which computer readable program instructions for executing the distributed orchestration method for space-based network edge microservices described in this embodiment 2 are loaded.
The computer readable storage medium may be a tangible device that retains and stores instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any combination of the foregoing.
The implementation principle and technical effect of the computer-readable storage medium provided by the above embodiments are similar to those of the above method embodiments, and are not described herein again.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above embodiments are only used for illustrating the present invention, and the structure, connection mode, manufacturing process, etc. of the components may be changed, and all equivalent changes and modifications performed on the basis of the technical solution of the present invention should not be excluded from the protection scope of the present invention.
Claims (10)
1. A distributed arrangement system of space-based network edge micro-services is characterized by comprising a K8S controller and an ODL controller;
the K8S controller and the ODL controller are both positioned on a control plane, southbound interfaces of the K8S controller and the ODL controller are respectively connected with a data plane, and northbound interfaces of the K8S controller and the ODL controller are respectively connected with an application plane;
the data plane is used for storing network topology of a bottom layer, deployment conditions of micro service components, physical resource information and user request information;
the ODL controller is used for issuing a flow list to the K8S controller and allocating link bandwidth, and providing physical topology support of a bottom layer for the K8S controller;
the K8S controller is used for arranging and deploying micro-service components required by a user to a target node, carrying out actual deployment and operation task reconfiguration on the arranged micro-service components according to user task requirements and arrangement results sent by the application plane, and determining the deployment position of the micro-service components in the data plane, the resource allocation quantity of the micro-service components, the flow table configuration of the whole network and the bandwidth allocation among the nodes based on the physical topological support of the ODL controller;
the application plane is used for generating user task requirements and generating an arrangement result according to the physical resource information and the user request information of the data plane.
2. The distributed orchestration system according to claim 1, wherein the K8S controller is deployed in a general server corresponding to each base station, and the ODL controller is deployed in a container of the K8S controller deployed in a part of the general servers.
3. The distributed orchestration system according to claim 2, wherein the control plane further comprises:
the on-board control manager is used for determining the deployment position of the micro service components in the data plane, the resource allocation amount of the micro service components, the flow table configuration of the whole network and the bandwidth allocation among the nodes based on the physical topological support of the ODL controller;
the satellite-borne service scheduler is arranged in each newly created container or non-scheduled container and is used for arranging and deploying the micro-service components required by the user to a target node and selecting the optimal node to operate the container;
and the life cycle manager is used for carrying out actual deployment and reconfiguration of operation tasks on the deployed micro-service components according to the user task requirements and the arrangement results sent by the application plane, and managing the life cycle of each container.
4. The space-based network edge microservice distributed orchestration system of claim 2, wherein the deployment in the data plane further comprises an OpenFlow switch for communication between the ODL controller and a repeater.
5. The space-based network edge microservice distributed orchestration system of claim 4, wherein the OpenFlow switches comprise physical switches and virtual switches.
6. The distributed orchestration system according to claim 4, wherein the control plane further comprises:
a topology manager, configured to manage a topology connection relationship between the OpenFlow switches;
and the network flow table is used for ensuring the forwarding of the user service data flow processed by the OpenFlow switch and the bandwidth allocation of the network link.
7. The distributed orchestration system of space-based network edge microservices according to claim 1, wherein the deployment within the data plane comprises:
based on the instruction of the K8S controller, the image file is pulled from the cloud image center and deployed at the edge of the space-based network, a pod is created, the image file is operated, and the space-based microservice is started to meet the calculation requirement of the edge side of the space-based network.
8. A distributed arrangement method for space-based network edge microservice is characterized by comprising the following steps:
deploying a K8S controller in a universal server corresponding to each base station, and deploying ODL controllers in containers of the K8S controllers deployed by part of universal servers;
the data plane stores the network topology of the bottom layer, the deployment condition of the micro service components, the physical resource information and the user request information;
the ODL controller carries out network topology management and bandwidth control among links, and issues a flow table and allocates link bandwidth to the controlled K8S controller;
the K8S controller sends data stored in the data plane to the application plane, and the application plane generates an arrangement result according to the physical resource information of the data plane and the user request information and sends the arrangement result to the K8S controller;
the K8S controller reconfigures the data plane according to the task requirements and the arrangement results of the user, and determines the deployment position of the micro service components in the data plane, the resource allocation quantity of the micro service components, the flow table configuration of the whole network and the bandwidth allocation among the nodes based on the physical topological support of the ODL controller.
9. A processing device comprising computer program instructions, wherein the computer program instructions, when executed by the processing device, are configured to implement the steps corresponding to the space-based network edge microservice distributed orchestration method according to claim 8.
10. A computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, are configured to implement the steps corresponding to the space-based network edge micro-service distributed orchestration method according to claim 8.
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