CN116800665A - Edge node management method, device, equipment and storage medium - Google Patents

Edge node management method, device, equipment and storage medium Download PDF

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Publication number
CN116800665A
CN116800665A CN202310947732.0A CN202310947732A CN116800665A CN 116800665 A CN116800665 A CN 116800665A CN 202310947732 A CN202310947732 A CN 202310947732A CN 116800665 A CN116800665 A CN 116800665A
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edge node
node
target edge
target
edge
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唐开军
黄翔
贾国防
杨晨亮
梁国鹏
刘晓静
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China Southern Power Grid Digital Platform Technology Guangdong Co ltd
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China Southern Power Grid Digital Platform Technology Guangdong Co ltd
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Abstract

The invention discloses an edge node management method, an edge node management device, edge node management equipment and a storage medium. The method comprises the following steps: receiving an edge node management instruction; acquiring node monitoring information of an edge node based on the edge node management instruction, and determining a target edge node according to the node monitoring information; creating a target edge node group according to the target edge node based on the region identification of the edge node, wherein the target edge node group comprises at least one target edge node; and deploying the edge application load to the target edge node group so that the target edge node group executes the edge application load, thereby realizing the unified management of the edge nodes in different regions, and improving the overall operation performance and reliability of the edge nodes.

Description

Edge node management method, device, equipment and storage medium
Technical Field
The present invention relates to the field of node management technologies, and in particular, to a method, an apparatus, a device, and a storage medium for managing an edge node.
Background
In the current fog computing multi-region scene, edge nodes are distributed in different cities, the flow and the safety of each edge node cannot be controlled, and the edge nodes and the application loads in the nodes cannot be uniformly managed, so that the overall operation performance of the edge nodes is low.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for managing edge nodes, which are used for realizing unified management of the edge nodes in different regions and improving the overall operation performance and reliability of the edge nodes.
According to an aspect of the present invention, there is provided an edge node management method. The method comprises the following steps:
receiving an edge node management instruction;
acquiring node monitoring information of an edge node based on the edge node management instruction, and determining a target edge node according to the node monitoring information;
creating a target edge node group according to the target edge node based on the region identification of the edge node, wherein the target edge node group comprises at least one target edge node;
deploying an edge application load to the target edge node group to cause the target edge node group to execute the edge application load.
According to another aspect of the present invention, there is provided an edge node management apparatus comprising:
the node management instruction receiving module is used for receiving the edge node management instruction;
the target edge node determining module is used for acquiring node monitoring information of the edge node based on the edge node management instruction and determining a target edge node according to the node monitoring information;
an edge node group creation module, configured to create a target edge node group according to the target edge node based on a region identifier of the edge node, where the target edge node group includes at least one target edge node;
and the edge application load deployment module is used for deploying an edge application load to the target edge node group so that the target edge node group executes the edge application load.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the edge node management method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the edge node management method according to any of the embodiments of the present invention when executed.
According to the technical scheme, the edge node management instruction is received, the node monitoring information of the edge node is obtained based on the edge node management instruction, and the target edge node is determined according to the node monitoring information. Creating a target edge node group according to the target edge node based on the region identification of the edge node, wherein the target edge node group comprises at least one target edge node. And deploying the edge application load to the target edge node group so that the target edge node group executes the edge application load, thereby realizing unified management of the edge nodes, enabling management work to be more efficient and simplified, simultaneously reducing the risk of asynchronous edge nodes and being beneficial to improving the reliability and stability of the whole edge network.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an edge node management method according to a first embodiment of the present invention;
fig. 2 is a flowchart of an edge node management method according to a second embodiment of the present invention;
fig. 3 is a block diagram of an edge node management device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device implementing the edge node management method according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of an edge node management method according to an embodiment of the present invention, where the method may be implemented by an edge node management device, and the edge node management device may be implemented in hardware and/or software, and the edge node management device may be configured in an electronic device. As shown in fig. 1, the method includes:
s101, receiving an edge node management instruction.
In the technical scheme of the invention, the edge node management instruction can refer to an instruction for unified management of the edge equipment nodes, the instruction can be triggered by a node manager on a management interface of the node management platform according to the actual management condition, and the node management platform can receive the edge node management instruction triggered by the node manager.
S102, acquiring node monitoring information of the edge node based on the edge node management instruction, and determining a target edge node according to the node monitoring information.
The node monitoring information may be parameter information of the node device, which is acquired by the pointer in real time to the edge node. Illustratively, the node monitoring information includes at least node load information of the edge node. The target edge node may refer to an edge node that has the capability to execute application load.
Specifically, according to the edge node management instruction, node monitoring information of the edge node can be collected manually or aiming at a single edge node device, and the node monitoring information is compared with preset information, so that a target edge node capable of executing application load is determined.
Illustratively, the obtaining node monitoring information of the edge node based on the edge node management instruction includes: constructing an edge node temporary network based on the edge node management instruction, and accessing the edge node into the edge node temporary network; and acquiring node monitoring information of the edge node based on the edge node temporary network.
Optionally, the node management instruction may at least include an edge node temporary network construction instruction, and according to the edge node management instruction, an edge node grid is constructed in a preset planned region. And connecting all the edge nodes in the area into the edge node temporary network corresponding to the area. And uniformly issuing a command for acquiring the node monitoring information in the edge node temporary network so that the node management platform receives the node monitoring information sent by the edge node, and the node monitoring information acquisition efficiency is improved. It should be noted that the temporary network of edge nodes to which all edge nodes are connected to the area may be referred to as an edge cluster. The edge cluster sinks the cloud computing capability from the cloud to the end to the edge side and the terminal equipment side, and performs unified delivery, operation and maintenance and management and control through the node management platform. Specifying cluster names, proprietary networks, masters, working nodes and the like when creating edge clusters.
Illustratively, the determining a target edge node according to the node monitoring information includes: analyzing the node monitoring information to obtain node load saturation corresponding to the edge node; and determining the target edge node based on the node load saturation and a preset node load threshold.
Specifically, the obtained node monitoring information is analyzed to obtain the node load saturation of the edge node in the node monitoring information. Meanwhile, the node load saturation can be compared with a preset node load threshold, and when the node load saturation is smaller than or equal to the preset node load threshold, the node load is smaller, the execution application load is provided, and the execution application load is determined to be a target edge node.
S103, creating a target edge node group according to the target edge node based on the region identification of the edge node.
Wherein the set of target edge nodes comprises at least one target edge node. The target edge node group is formed by abstracting edge nodes into a node logic group concept according to specific attributes, carrying out unified management and operation and maintenance on the edge nodes under different edge areas by using the dimension of the node logic group, and designating the name of the target edge node group, cloud edge cooperative network, the maximum node number (the maximum supported node number of a group), node labels and other information when the target edge node group is created. The region identifier may refer to identification information corresponding to a region where the edge node is located. For example, the region identifier may include a Guangzhou identifier, a Shenzhen identifier, a Hainan identifier, and the like, and may be divided according to actual situations.
Specifically, according to the region identification of the edge nodes, the target edge nodes belonging to the same region are determined to be target edge nodes in the same target edge node group, and then the target edge node group is created according to the target edge nodes belonging to the same target edge node group.
The technical scheme of the invention can be realized based on TopCloud-Edge cloud product framework, and two CRD resources are introduced in Edge node grouping management, wherein one CRD resource is a node group NodeGroup. In NodeGroup Reconciliation, nodeGroup Controller is used for monitoring the node group change, performing operations such as adding, deleting and the like on node_node_Label, and simultaneously, adding the node of the node group, reporting the state to the node group, and directly checking the states of all nodes in the node group by inquiring the node group.
Illustratively, the creating a target edge node group according to the target edge node based on the region identification of the edge node includes: according to the creation specification corresponding to the edge node group, each preset region is planned into an edge node group region; constructing an edge node group network based on the edge node group region; determining a target edge node group network with the same region identifier as the target edge node for each target edge node, and accessing the target edge node into the target edge node group network; and creating the target edge node group according to all the target edge nodes in the same target edge node group network.
Specifically, according to a preset creation specification corresponding to an edge node group, each preset region involved in the creation specification is planned into an edge node group area, and an edge node group network is built in the edge node group area. For each target edge node, determining an edge node group network with the same region identification as the target edge node, and determining the edge node group network as a target edge node grid. And inquiring all target edge nodes belonging to the target edge node network aiming at each target edge node network, and accessing all target edge nodes belonging to the target edge node network into the target edge node group network. And carrying out linkage on all the target edge nodes in the same target edge node group network to create the target edge node group.
S104, deploying the edge application load to the target edge node group so that the target edge node group executes the edge application load.
Specifically, the technical scheme of the invention can also apply edge App for the edge through another CRD resource. EdgeApp Reconciliation is similar to NodeGroup Reconciliation, edgeApp Controller monitors the change of the EdgeApp, deploys an edge application load to the target edge node group, performs operations such as adding or deleting corresponding resources, and meanwhile, the corresponding resources report a state to the EdgeApp, so that the target edge node group executes the edge application load.
In the internal implementation of the invention, the invention uniformly uses the un-structured structure, reduces the coupling degree with specific resources and facilitates the subsequent addition of other resources. In addition, in order not to interfere with the original resources and the flow, the coupling degree with Kubernetes Reconciliation is reduced in design, and the originality of the resource operation process such as the Deployment can be ensured.
Illustratively, the deploying an edge application load to the target edge node group includes: and aiming at each edge application load, based on an application load deployment specification, completely deploying each edge application load into the same target edge node group, logically isolating the service traffic corresponding to the edge application load, and prohibiting the target edge node groups from communicating with each other.
In the technical scheme of the invention, the edge application load deployment in the target edge node group and the load flow management and control can be realized by introducing CRD resource ServiceGroup. The load Service traffic is limited to the same target edge node group, and when Service is accessed in one target edge node group, the back end is always in the same target edge node group. When a Service is created by using a ServiceTemplate in edge application, a Service-policy is added to the Service, and a component cloud on the kubeeedge cloud filters an Endpoint and an Endpoint according to the policy to filter back ends not in the same target edge node group, and then sends the back ends to an edge node.
It should be noted that, according to the technical solution of the present invention, edge node management is implemented by custom kubinets CRD, for example NodeGroup, serviceGroup, edgeApp, where EdgeApp includes WorkloadTemplates and workloadscope, and the implementation is specifically as follows, and the main components and functions included in the implementation are as follows:
NodeGroup (node grouping)
The node group provides a node grouping function for users, and can divide edge nodes of the same area into a group, organize the edge nodes in the form of node groups, and the same node can only belong to one node group at the same time. Grouping may be by Label or name.
ServiceGroup (flow control)
The ServiceGroup function provides node flow control in the same node group, and a user can conveniently deploy services into the node groups respectively only by planning the relation between the NodeGroup and the edge nodes in advance. Through ServiceGroup, service traffic is limited to the same node group, and when Service is accessed in one node group, the backend is always in the same node group.
Edge App (edge application template)
The edge app is an edge application deployment template and is uniformly maintained by a user, and comprises two parts, namely WorkloadTemplates and WorkloadScopes.
WorkloadTemplates (workload templates)
The WorkloadTemplates are edge application workload templates and mainly comprise resource templates required by edge applications, such as Deployment Template, service templates, configMap Template, and the like.
Workload scopes (workload template differentiated configuration)
The method mainly aims at the requirements of different node groups, and is used for differentiated configuration of resource templates, including copy number differentiated configuration (Replicas Overrider) and Image differentiated configuration (Image overlay), wherein the Image overlay comprises an Image warehouse address, a warehouse name and a label.
Pod (edge application example)
Pod is the smallest unit that can be created and managed in the Kubernetes system, is the smallest resource object model created or deployed by the user in the resource object model, and is also the resource object of the containerized application running on k8s, which is an edge application instance in this example.
According to the technical scheme, the edge node management instruction is received, the node monitoring information of the edge node is obtained based on the edge node management instruction, and the target edge node is determined according to the node monitoring information. Creating a target edge node group according to the target edge node based on the region identification of the edge node, wherein the target edge node group comprises at least one target edge node. And deploying the edge application load to the target edge node group so that the target edge node group executes the edge application load, thereby realizing unified management of the edge nodes, enabling management work to be more efficient and simplified, simultaneously reducing the risk of asynchronous edge nodes and being beneficial to improving the reliability and stability of the whole edge network.
Example two
Fig. 2 is a flowchart of an edge node management method according to a second embodiment of the present invention, where a node autonomous mode of a target edge node may be set on the basis of the foregoing embodiments. As shown in fig. 2, the method includes:
s201, receiving an edge node management instruction.
S202, acquiring node monitoring information of the edge node based on the edge node management instruction, and determining a target edge node according to the node monitoring information.
S203, creating a target edge node group according to the target edge node based on the region identification of the edge node.
S204, aiming at each target edge node in the target edge node group, setting a node autonomous mode corresponding to the target edge node according to node network quality information and/or application load execution level corresponding to the target edge node.
It should be noted that, the node autonomy can ensure that the service application on the edge node can continuously and stably run without being evicted or migrated to other edge nodes in the disconnected state of the edge and cloud network. The node autonomous mode may be set to an autonomous or non-autonomous state.
And S205, performing node management on the target edge node based on the node autonomous mode.
Specifically, when the target edge node is set to an autonomous state, if the target edge node is disconnected from the cloud management and control, the system can ensure that the application on the node is not evicted, and the application on the node is automatically recovered. Setting the node autonomous state is suitable for the weak network connection scene of edge calculation.
When the target edge node is set to a non-autonomous state, if the target edge node is disconnected from the cloud management and control, the node is set to an unavailable state because the node cannot normally report the heartbeat to the management and control end, and the application on the node is evicted after the tolerant time is reached.
S206, deploying the edge application load to the target edge node group so that the target edge node group executes the edge application load.
The present invention may also perform security management on the target edge node, and may specifically include: and data security management, wherein cloud testing and edge testing node communication adopts an SSL protocol, and data transmission adopts SM2 and other national cryptographic algorithms.
And the legitimacy of the edge node, the cloud side performs access legitimacy authentication on the edge testing node, the application and the edge testing equipment through a blockchain technology, and the integrity of terminal data and the safety of a computing environment are ensured.
The service flow is logically isolated, the service flow is isolated by the logic node groups, the service flow can communicate with each other in the same node group, and different node groups can not communicate.
According to the technical scheme, the node autonomous mode corresponding to the target edge node is set according to the node network quality information and/or the application load execution level corresponding to the target edge node, and the node management is carried out on the target edge node based on the node autonomous mode, so that corresponding setting can be carried out according to the node network quality information and/or the application load execution level, and further the execution efficiency of the node is improved.
Example III
Fig. 3 is a schematic structural diagram of an edge node management device according to a third embodiment of the present invention.
As shown in fig. 3, the apparatus includes:
a node management instruction receiving module 301, configured to receive an edge node management instruction;
the target edge node determining module 302 is configured to obtain node monitoring information of an edge node based on the edge node management instruction, and determine a target edge node according to the node monitoring information;
an edge node group creation module 303, configured to create a target edge node group according to the target edge node based on a region identifier of an edge node, where the target edge node group includes at least one target edge node;
an edge application load deployment module 304, configured to deploy an edge application load to the target edge node group, so that the target edge node group executes the edge application load.
According to the technical scheme, the edge node management instruction is received, the node monitoring information of the edge node is obtained based on the edge node management instruction, and the target edge node is determined according to the node monitoring information. Creating a target edge node group according to the target edge node based on the region identification of the edge node, wherein the target edge node group comprises at least one target edge node. And deploying the edge application load to the target edge node group so that the target edge node group executes the edge application load, thereby realizing unified management of the edge nodes, enabling management work to be more efficient and simplified, simultaneously reducing the risk of asynchronous edge nodes and being beneficial to improving the reliability and stability of the whole edge network.
Optionally, the target edge node determining module 302 may be specifically configured to:
constructing an edge node temporary network based on the edge node management instruction, and accessing the edge node into the edge node temporary network;
and acquiring node monitoring information of the edge node based on the edge node temporary network.
Optionally, the target edge node determining module 302 may be further specifically configured to:
analyzing the node monitoring information to obtain node load saturation corresponding to the edge node;
and determining the target edge node based on the node load saturation and a preset node load threshold.
Optionally, the edge node group creation module 303 may be specifically configured to:
according to the creation specification corresponding to the edge node group, each preset region is planned into an edge node group region;
constructing an edge node group network based on the edge node group region;
determining a target edge node group network with the same region identifier as the target edge node for each target edge node, and accessing the target edge node into the target edge node group network;
and creating the target edge node group according to all the target edge nodes in the same target edge node group network.
Optionally, the apparatus further comprises: node autonomous mode setting module
A node autonomous mode setting unit, configured to set, for each target edge node in the target edge node group, a node autonomous mode corresponding to the target edge node according to node network quality information and/or an application load execution level corresponding to the target edge node, where the node autonomous mode includes an autonomous state and a non-autonomous state;
and the target edge node management unit is used for carrying out node management on the target edge node based on the node autonomous mode.
Optionally, the target edge node management unit is specifically configured to:
under the condition that the node autonomous mode is an autonomous state, under the condition that the target edge node is disconnected from a node management terminal, acquiring a node connection state corresponding to the node management terminal in real time, and under the condition that node connection is allowed, connecting the target edge node with the node management terminal;
setting the working state of the target edge node as a fault state under the condition that the node autonomous mode is in a non-autonomous state and the node management terminal is disconnected, acquiring the disconnection time length of the target edge node, and deleting the target edge node from the target edge node group under the condition that the disconnection time length is greater than a preset time length.
Optionally, the edge application load deployment module 304 is specifically configured to:
and aiming at each edge application load, based on an application load deployment specification, completely deploying each edge application load into the same target edge node group, logically isolating the service traffic corresponding to the edge application load, and prohibiting the target edge node groups from communicating with each other.
The edge node management device provided by the embodiment of the invention can execute the edge node management method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as method edge node management.
In some embodiments, the method edge node management may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more of the steps of method edge node management described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform method edge node management in any other suitable way (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. A method for edge node management, comprising:
receiving an edge node management instruction;
acquiring node monitoring information of an edge node based on the edge node management instruction, and determining a target edge node according to the node monitoring information;
creating a target edge node group according to the target edge node based on the region identification of the edge node, wherein the target edge node group comprises at least one target edge node;
deploying an edge application load to the target edge node group to cause the target edge node group to execute the edge application load.
2. The method according to claim 1, wherein the obtaining node monitoring information of the edge node based on the edge node management instruction includes:
constructing an edge node temporary network based on the edge node management instruction, and accessing the edge node into the edge node temporary network;
and acquiring node monitoring information of the edge node based on the edge node temporary network.
3. The method of claim 1, wherein said determining a target edge node based on said node monitoring information comprises:
analyzing the node monitoring information to obtain node load saturation corresponding to the edge node;
and determining the target edge node based on the node load saturation and a preset node load threshold.
4. The method of claim 1, wherein the creating a target edge node group from the target edge node based on the edge node's zone identification comprises:
according to the creation specification corresponding to the edge node group, each preset region is planned into an edge node group region;
constructing an edge node group network based on the edge node group region;
determining a target edge node group network with the same region identifier as the target edge node for each target edge node, and accessing the target edge node into the target edge node group network;
and creating the target edge node group according to all the target edge nodes in the same target edge node group network.
5. The method of claim 1, further comprising, prior to said deploying edge application load to said target edge node group:
aiming at each target edge node in the target edge node group, setting a node autonomous mode corresponding to the target edge node according to node network quality information and/or application load execution level corresponding to the target edge node, wherein the node autonomous mode comprises an autonomous state and a non-autonomous state;
and carrying out node management on the target edge node based on the node autonomous mode.
6. The method of claim 5, wherein node management of the target edge node based on the node autonomous mode comprises:
under the condition that the node autonomous mode is an autonomous state, under the condition that the target edge node is disconnected from a node management terminal, acquiring a node connection state corresponding to the node management terminal in real time, and under the condition that node connection is allowed, connecting the target edge node with the node management terminal;
setting the working state of the target edge node as a fault state under the condition that the node autonomous mode is in a non-autonomous state and the node management terminal is disconnected, acquiring the disconnection time length of the target edge node, and deleting the target edge node from the target edge node group under the condition that the disconnection time length is greater than a preset time length.
7. The method of claim 1, wherein deploying edge application loads to the target edge node group comprises:
and aiming at each edge application load, based on an application load deployment specification, completely deploying each edge application load into the same target edge node group, logically isolating the service traffic corresponding to the edge application load, and prohibiting the target edge node groups from communicating with each other.
8. An edge node management apparatus, comprising:
the node management instruction receiving module is used for receiving the edge node management instruction;
the target edge node determining module is used for acquiring node monitoring information of the edge node based on the edge node management instruction and determining a target edge node according to the node monitoring information;
an edge node group creation module, configured to create a target edge node group according to the target edge node based on a region identifier of the edge node, where the target edge node group includes at least one target edge node;
and the edge application load deployment module is used for deploying an edge application load to the target edge node group so that the target edge node group executes the edge application load.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the edge node management method of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to implement the edge node management method of any one of claims 1-7 when executed.
CN202310947732.0A 2023-07-27 2023-07-27 Edge node management method, device, equipment and storage medium Pending CN116800665A (en)

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Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310947732.0A CN116800665A (en) 2023-07-27 2023-07-27 Edge node management method, device, equipment and storage medium

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