CN117955981A

CN117955981A - Data processing method, device, equipment and storage medium

Info

Publication number: CN117955981A
Application number: CN202211288152.7A
Authority: CN
Inventors: 刘国旭
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2022-10-20
Filing date: 2022-10-20
Publication date: 2024-04-30

Abstract

The application provides a data processing method, a device, equipment and a storage medium. The application relates to the technical field of cloud computing in cloud technology, and the method is applied to a cloud server and comprises the following steps: transmitting data checking requests to N edge servers, wherein N is a positive integer; the data checking request is used for requesting to perform data checking on the equipment to be checked, which is respectively connected with the N edge servers; and receiving data check responses sent by the N edge servers. Therefore, on one hand, the performance requirement on the cloud server can be reduced, and on the other hand, the data checking time delay can be reduced as a whole.

Description

Data processing method, device, equipment and storage medium

Technical Field

The embodiment of the application relates to the technical field of clouds, in particular to a data processing method, a device, equipment and a storage medium.

Background

In the cloud technology field, a cloud server may issue data to a network device, for example, the data may be a configuration of the network device. However, due to the network device abnormality or the network abnormality, the data actually stored by the network device is inconsistent with the data issued by the cloud server to the network device, so the cloud server needs to check the data actually stored by the network device and the data issued by the cloud server to the network device.

However, due to the huge number of network devices to be checked, the current data checking method has higher requirements on the performance of the cloud server, and the data checking method causes larger data checking delay.

Disclosure of Invention

The application provides a data processing method, a data processing device, data processing equipment and a storage medium. On the one hand, the performance requirements on the cloud server can be reduced. On the other hand, the data checking delay can be reduced as a whole.

In a first aspect, an embodiment of the present application provides a data processing method, where the method is applied to a cloud server, and the method includes: transmitting data checking requests to N edge servers, wherein N is a positive integer; the data checking request is used for requesting to perform data checking on the equipment to be checked, which is respectively connected with the N edge servers; and receiving data check responses sent by the N edge servers.

In a second aspect, an embodiment of the present application provides a data processing method, where the method is applied to a target edge server, and the method includes: receiving a data checking request sent by a cloud server; based on the data checking request, performing data checking on equipment to be checked connected with the target edge server; and sending a data check response to the cloud server.

In a third aspect, an embodiment of the present application provides a cloud server, including: the system comprises a sending module and a receiving module, wherein the sending module is used for sending data checking requests to N edge servers, and N is a positive integer; the data checking request is used for requesting to perform data checking on the equipment to be checked, which is respectively connected with the N edge servers; the receiving module is used for receiving data checking responses sent by the N edge servers.

In a fourth aspect, an embodiment of the present application provides an edge server, where the edge server is a target edge server, including: the cloud server comprises a receiving module, a data checking module and a sending module, wherein the receiving module is used for receiving a data checking request sent by the cloud server; the data checking module is used for performing data checking on equipment to be checked, which is connected with the target edge server, based on the data checking request; the sending module is used for sending a data checking response to the cloud server.

In a fifth aspect, an embodiment of the present application provides an electronic device, including: a processor and a memory for storing a computer program, the processor being for invoking and running the computer program stored in the memory for performing the method as in the first aspect, the second aspect or various implementations thereof.

In a sixth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program for causing a computer to perform a method as in the first aspect, the second aspect or implementations thereof.

In a seventh aspect, embodiments of the present application provide a computer program product comprising computer program instructions for causing a computer to perform the method as in the first aspect, the second aspect or implementations thereof.

In an eighth aspect, embodiments of the present application provide a computer program that causes a computer to perform the method as in the first aspect, the second aspect or various implementations thereof.

According to the technical scheme provided by the embodiment of the application, the cloud server does not need to perform data checking on the network equipment, only needs to send data checking requests to N edge servers, and the N edge servers can perform data checking on equipment to be checked in respective jurisdictions and report the data checking results to the cloud server. On one hand, the data processing method can reduce the performance requirement on the cloud server. On the other hand, as the data checking task sinks to the edge server which is closer to the network equipment, the transmission path of the data reported by the network equipment can be reduced, and the data checking time delay can be reduced as a whole.

Drawings

FIG. 1 is an application scenario diagram provided in an embodiment of the present application;

FIG. 2 is an interactive flow chart of a data processing method according to an embodiment of the present application;

FIG. 3 is an interactive flow chart of another data processing method according to an embodiment of the present application;

FIG. 4 is an interactive flowchart of yet another data processing method according to an embodiment of the present application;

FIG. 5 is an interactive flow chart of yet another data processing method according to an embodiment of the present application;

FIG. 6 is a schematic diagram of an embodiment of an apparatus management system;

FIG. 7 is a schematic diagram of another device management method according to an embodiment of the present application;

FIG. 8 is a schematic diagram of another device management method according to an embodiment of the present application;

FIG. 9 is a schematic diagram of another device management method according to an embodiment of the present application;

fig. 10 is a schematic diagram of data transmission according to an embodiment of the present application;

FIG. 11 is a schematic diagram of another data distribution according to an embodiment of the present application;

Fig. 12 is a schematic diagram of a cloud server 1200 according to an embodiment of the present application;

Fig. 13 is a schematic diagram of an edge server 1300 according to an embodiment of the present application;

fig. 14 is a schematic block diagram of an electronic device provided by an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments 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 server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

The embodiment of the application relates to the field of Cloud technology, wherein Cloud technology (Cloud technology) refers to a hosting technology for integrating serial resources such as hardware, software, network and the like in a wide area network or a local area network to realize calculation, storage, processing and sharing of data.

Cloud technology (Cloud technology) is based on the general terms of network technology, information technology, integration technology, management platform technology, application technology and the like applied by Cloud computing business models, and can form a resource pool, so that the Cloud computing business model is flexible and convenient as required. Cloud computing technology will become an important support. Background services of technical networking systems require a large amount of computing, storage resources, such as video websites, picture-like websites, and more portals. Along with the high development and application of the internet industry, each article possibly has an own identification mark in the future, the identification mark needs to be transmitted to a background system for logic processing, data with different levels can be processed separately, and various industry data needs strong system rear shield support and can be realized only through cloud computing.

Cloud computing (closed computing) refers to the delivery and usage mode of an IT infrastructure, meaning that required resources are obtained in an on-demand, easily scalable manner through a network; generalized cloud computing refers to the delivery and usage patterns of services, meaning that the required services are obtained in an on-demand, easily scalable manner over a network. Such services may be IT, software, internet related, or other services. Cloud Computing is a product of fusion of traditional computer and network technology developments such as Grid Computing (Grid Computing), distributed Computing (Distributed Computing), parallel Computing (Parallel Computing), utility Computing (Utility Computing), network storage (Network Storage Technologies), virtualization (Virtualization), load balancing (Load Balance), and the like.

With the development of the internet, real-time data flow and diversification of connected devices, and the promotion of demands of search services, social networks, mobile commerce, open collaboration and the like, cloud computing is rapidly developed. Unlike the previous parallel distributed computing, the generation of cloud computing will promote the revolutionary transformation of the whole internet mode and enterprise management mode in concept.

In order to facilitate understanding of embodiments of the present application, relevant knowledge related to the embodiments of the present application will be described below:

and then: in an operating system, it means that several programs are all running on the same processor in a period of time between the start-up and the completion of the running. Wherein, the two concurrent relations are synchronous and mutually exclusive respectively.

Asynchronous: asynchronous and synchronous are relative, synchronous is that the sequential execution, execution of one is finished and execution of the next is finished, and waiting and coordination operation are needed. Asynchronous is independent of each other, and does not need to wait for the completion of an event before doing the job. Threads are one way to implement asynchronization. Asynchronous is something else for the main thread Cheng Gan that lets the main thread calling the method not need to wait synchronously for the completion of another thread.

Edge calculation: edges in edge computing refer to computing and storage resources on the edge of the network, where the edge of the network is opposite the data center, closer to the user, both from geographic distance and network distance. As a new calculation paradigm, edge calculation deploys calculation tasks close to the network edge of a data generation source, and a large number of service or function interfaces are provided for users by utilizing edge resources, so that the data volume uploaded to a cloud data center is greatly reduced, the network bandwidth pressure is relieved, and meanwhile, the problems of data security and privacy can be better solved. Under the edge computing environment, the data has isomerism and larger data volume, the application programs for data processing have diversity, the computing tasks associated with different application programs are different, the management of the computing tasks has larger complexity, and the simple middleware software structure cannot effectively ensure the feasibility of the computing tasks, the reliability of the application programs and the maximization of resource utilization. Meanwhile, the functions to be realized by the edge computing system facing different applications or scenes are different. Therefore, the edge computing platform has important significance and influence on popularization and development of the edge computing field.

The technical problems and the inventive concepts to be solved by the embodiments of the present application will be described below:

As described above, the cloud server needs to check the data actually stored by the network device and the data issued to the network device by the cloud server. However, due to the huge number of network devices to be checked, the current data checking method has higher requirements on the performance of the cloud server, and the data checking method causes larger data checking delay.

In order to solve the above technical problems, in the embodiment of the present application, the edge server may perform data verification on each network device connected to the edge server, and send the data verification result to the cloud server, where the cloud server does not need to perform data verification on each network device.

Fig. 1 is an application scenario diagram provided in an embodiment of the present application, where, as shown in fig. 1, a network element involved in an application scenario includes: cloud server 110, at least one edge server 120, and at least one network device 130. The cloud server 110 and the edge server 120 may be directly or indirectly connected through wired or wireless communication, which is not limited herein. The edge server 120 and the network device 130 may be directly or indirectly connected through wired or wireless communication, which is not limited herein.

The cloud server 110 may be used to provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and servers for basic cloud computing services such as big data and artificial intelligence platforms.

The edge server 120 may be disposed in an edge machine room closer to the cloud server 110, and is used for implementing an edge computing server, and may also be used for performing data checking on a network device connected to the edge server based on a data checking request, and transmitting a data checking result to the cloud server 110.

In some embodiments, the edge server 120 may be further connected to a Database (DB), where the Database is used to store data that is sent by the cloud server to the network device administered by the edge server 120, so that when the edge server 120 performs data checking, the data sent by the cloud server to the network device may be read from the Database connected to the edge server, and the data stored by the network device itself may be obtained from the network device, and further, the edge server 120 may compare the two sets of data to check whether the two sets of data are consistent.

The Network device 130 may be a core Network device, such as an access and mobility management function (ACCESS AND Mobility Management Function, AMF) entity, a session management function (Session Management Function, SMF) entity, a user plane function (User Plane Function, UPF) entity, a policy control function (Policy Control function, PCF) entity, a Unified DATA MANAGEMENT, UDM entity, a Data Network (DN), an application function (Application Function, AF) entity, an authentication server function (Authentication Server Function, AUSF) entity, a Network slice selection function (Network Slice Selection Function, NSSF) entity, but is not limited thereto. But not limited to, access network devices, such as a base station, an Access Point (AP), etc., are also possible. But also can be terminal equipment such as smart phones, tablet computers, notebook computers, desktop computers, smart speakers, smart watches, vehicle terminals, smart televisions, etc., but is not limited thereto.

It should be appreciated that fig. 1 illustrates two edge servers 120 by way of example, and in fact, embodiments of the present application do not limit the number of edge servers 120. Similarly, fig. 1 exemplarily shows that each edge server 120 is connected to two network devices, and in practice, the number of network devices connected to the edge server 120 is not limited by the embodiment of the present application.

It should be understood that a network device governed by an edge server refers to a network device to which the edge server is connected, and a network device governed by an edge server may also be referred to as a network device within the jurisdiction of the edge server.

Embodiments of the present application will be described in detail below:

fig. 2 is an interaction flow chart of a data processing method provided by an embodiment of the present application, where the method may be performed by a cloud server and N edge servers, and as shown in fig. 2, the method may include:

S210: the cloud server sends data checking requests to N edge servers, wherein N is a positive integer;

S220: the N edge servers respectively conduct data checking on the respectively connected equipment to be checked based on the data checking request;

s230: and the N edge servers send data checking responses to the cloud server.

The following details regarding S210:

It should be understood that the data check request is used to request data check for the devices to be checked, to which the N edge servers are connected, respectively. In other words, each data check request is used for requesting the edge server that receives the data check request to perform data check on the device to be checked connected to the edge server.

In some embodiments, the cloud server may periodically send data verification requests to the N edge servers. For example, the cloud server may set a timer based on which data check requests are sent to the N edge servers every other fixed period of time.

In some embodiments, the cloud server may send data verification requests to the N edge servers in an event-triggered manner. For example, the cloud server may be connected to an operation and maintenance platform, on which an operation and maintenance person may issue a data check command, based on which the cloud server generates a data check request based on the data check command, and sends the data check request to the N edge servers. In other words, in this example, an event refers to an event that the cloud server acquires a data check command, and under the triggering of the event, the cloud server may send data check requests to the N edge servers.

In some embodiments, the cloud server may send data check requests to the N edge servers in an event triggered fashion+a periodic fashion. For example, the cloud server may be connected to an operation and maintenance platform, on which an operation and maintenance person may issue a data check command, based on which the cloud server generates a data check request based on the data check command, and further, the cloud server may set a timer, based on which the data check request is sent to the N edge servers once every fixed period of time.

In some embodiments, before issuing data checking requests to the N edge servers, the cloud server may establish a data checking task, and write the data checking task into a database connected to the cloud server, where the task state is "in progress".

It should be understood that the data checking task refers to a task that N edge servers perform data checking on devices to be checked, which are connected to each other.

In some embodiments, for any one of the N edge servers, if the cloud server needs the edge server to perform data checking on all network devices connected to the edge server, the data checking request sent by the cloud server to the edge server may not include: identification of any network device. In this case, when the edge server parses the data check request and does not find any identifier of the network device, the edge server defaults to perform data check on all network devices governed by the edge server, in other words, the edge server defaults to all network devices governed by the edge server as devices to be checked.

In some embodiments, for any one of the N edge servers, if the cloud server needs the edge server to perform data checking on a part of network devices connected to the edge server, the data checking request sent by the cloud server to the edge server may include: the identity of each of these partial network devices. For example, the data check request sent by the cloud server to the edge server a includes: after the identifier 1 and the edge server a analyze the data checking request, it is determined that data checking needs to be performed on the network device corresponding to the identifier 1, in other words, the edge server a determines that the network device corresponding to the identifier 1 is a device to be checked.

In some embodiments, the N edge servers may be all or part of edge servers connected by a cloud server.

In some embodiments, the N edge servers may be N edge servers by default, in other words, the cloud server need not determine the N edge servers before sending the data check request to the N edge servers. For example, it is assumed that the cloud server issues data check requests to all edge servers every fixed period of time, and these edge servers need to perform data check to all network devices connected to each other, in which case the cloud server does not need to confirm N edge servers, i.e., the cloud server defaults that N edge servers are all edge servers to which it is connected.

In some embodiments, the cloud server needs to determine N edge servers before sending a data verification request to the N edge servers. The N edge servers may be determined specifically by:

As shown in fig. 3, before S210, the data processing method may further include:

S310: the cloud server acquires mapping relations between to-be-checked equipment and N edge servers, which are respectively connected with the N edge servers;

S320: the cloud server determines N edge servers based on the mapping relationship.

In some embodiments, the cloud server may obtain a mapping relationship of each edge server to which it is connected and the network device to which each edge server is connected, and may store the mapping relationship into a database. Based on the above, after the server obtains the identifier of the device to be checked, it can determine the edge server corresponding to the device to be checked based on the mapping relationship.

In an example, in combination with the application scenario diagram shown in fig. 1, assuming that the data checking command issued by the operation and maintenance personnel through the operation and maintenance platform is to perform data checking on the network device 1 and the network device 3, after the cloud server obtains the data checking command, the mapping relationship table between the edge server and the network device may be queried first, as shown in table 1, the network device 1 corresponds to the edge server a, the network device 3 corresponds to the edge server B, based on which the cloud server may determine that data checking requests need to be sent to the edge servers a and B, where the two data checking requests respectively carry an identifier 1 and an identifier 3, and indicate that the data checking is requested to be performed on the network device 1 to the edge server a, and the data checking is requested to be performed on the network device 3 to the edge server B.

TABLE 1

In table 1, "v" indicates that there is a mapping relationship between the corresponding edge server and the network device, for example, there is a mapping relationship between the edge server a and the network device 1. The blank indicates that there is no mapping relationship between the corresponding edge server and the network device, for example, there is no mapping relationship between the edge server B and the network device 1.

In some embodiments, the database to which the cloud server is connected may also store internet protocol (Internet Protocol, IP) addresses, port numbers, interface information, etc. of the respective edge servers. When a cloud server sends data verification requests to N edge servers, it can query the database for such information to send data verification requests to the corresponding edge servers.

In some embodiments, the cloud server may send the data checking request to the N edge servers through the same interface, or may send the data checking request to the N edge servers through M interfaces, where M is a positive integer less than or equal to N. The interface may be a software interface or a hardware interface, which is not limited by the embodiment of the present application.

The following details regarding S220:

In some embodiments, for any one of the N edge servers, the edge server may perform data verification on the device to be verified by using the following data verification method, but is not limited thereto: the edge server obtains the data of the equipment to be checked from the database connected with the edge server, and obtains the data of the equipment to be checked from the equipment to be checked, the edge server compares the two groups of data, if the two groups of data are consistent, the data of the equipment to be checked are free of problems, and if the two groups of data are inconsistent, the data of the equipment to be checked are free of problems.

In some embodiments, if the edge server obtains that two sets of data of a device to be checked are inconsistent, the edge server may also send the device to be checked to the device to be checked for supplemental data or correct data.

In one example, it is assumed that the database connected to the edge server a includes the first data and the second data of the device 1 to be checked, but the data acquired by the edge server a from the device 1 to be checked only includes the first data, and the edge server a may send the second data to the device 1 to be checked to ensure that the two sets of data stored by the database and the device 1 to be checked are consistent.

In another example, it is assumed that the database to which the edge server a is connected includes first data and second data of the device 1 to be checked, but the data acquired by the edge server a from the device 1 to be checked is the first data and third data, at this time, the edge server a may send a data update request to the device 1 to be checked, and the device 1 to be checked may update the third data stored therein to the second data based on the data update request, so as to ensure that the two sets of data stored in the database and the device 1 to be checked are consistent.

The following details regarding S230:

In some embodiments, for any one of the N edge servers, the data check response sent by the edge server to the cloud server may be any one of the following, but is not limited thereto:

if the edge server has no problem on the data checking results of all the devices to be checked connected with the edge server, namely, the data stored in the database connected with the edge server by the devices to be checked are consistent with the data stored by the edge server, in this case, the data checking response is used for indicating that the edge server has no problem on the data checking results of all the devices to be checked connected with the edge server or the data checking task is successful.

If the edge server has a problem on the data checking result of at least one device to be checked, that is, the data stored in the database connected by the edge server by the device to be checked is inconsistent with the data stored by the edge server, in this case, the data checking response is used to indicate that the edge server has a problem on the data checking result of the at least one device to be checked or fails in the data checking task, and the data checking response may include at least one of the following: the reason for the failure of the data checking task may be that the data checking result of the at least one device to be checked is inconsistent.

If the edge server performs a data check task timeout, in this case, the data check response is used to indicate that the data check task failed, and may also indicate that the cause of the data check task failure is the data check task timeout.

In some embodiments, after receiving the data checking responses sent by the N edge servers, the cloud server may store the data checking responses in a database connected to the cloud server, so that an operation and maintenance person can query the database for the data checking results through the operation and maintenance platform.

In the embodiment of the application, the cloud server does not need to carry out data checking on the network equipment, only needs to send a data checking request to each edge server, and each edge server can carry out data checking on equipment to be checked in the jurisdiction of the cloud server and report the data checking result to the cloud server. On one hand, the data processing method can reduce the performance requirement on the cloud server. On the other hand, as the data checking task sinks to the edge server which is closer to the network equipment, the transmission path of the data reported by the network equipment can be reduced, and the data checking time delay can be reduced as a whole.

In some embodiments, as shown in fig. 4, the step S210 may include:

s410: the cloud server sends data checking requests to N edge servers in a concurrent mode;

The S220 may include:

S420: and the N edge servers perform data checking on the devices to be checked, which are connected respectively, in an asynchronous mode.

It should be understood that, from a program perspective, the cloud server sends a data checking request to each edge server until receiving a data checking response through a program, and then the N edge servers correspond to N programs, based on which, the cloud server sends the data checking request to the N edge servers in a concurrent manner, and the N edge servers perform data checking on the devices to be checked, which are respectively connected in an asynchronous manner, by: in a period of time, the N programs are all between the started running and the running completion, and all the N programs run on the same processor. In other words, in a period of time, the cloud server may send data verification requests to N edge servers, respectively, and the N edge servers may perform data verification on the devices to be verified, which are connected to each other, independently of each other.

In an example, taking the above N edge servers as two edge servers as an example, the cloud server may send a data checking request to the edge server a first, then send a data checking request to the edge server B, and further, the edge server a and the edge server B perform data checking on the devices to be checked, which are connected to each other, independently, and report the data checking result to the cloud server.

In the embodiment of the application, the data checking can be performed in an asynchronous concurrent mode, which is different from the synchronous mode, because the synchronous mode is a sequential execution mode, for example, the cloud server needs to issue data checking requests to the N edge servers one by one, the N edge servers perform data checking one by one, and report the checking result to the cloud server, and the data checking time of one edge server is assumed to be 1 minute, and the data checking time of the N edge servers is assumed to be N minutes. From the perspective of operation and maintenance personnel, if the operation and maintenance personnel issues a data checking command on a webpage of an operation and maintenance platform, after clicking the webpage once, the synchronization mode causes long-time blocking, so that the operation and maintenance personnel cannot obtain a data checking result, and in a word, the synchronization mode has the problem of low data checking efficiency. However, the asynchronous concurrency mode enables the N edge servers to perform data checking independently of each other, for example, the edge server a performs data checking while the edge server B performs data checking, and the data checking efficiency can be improved based on the asynchronous concurrency data checking mode. In particular, in the whole network checking scene, the asynchronous concurrent data checking mode has more remarkable efficiency.

In some embodiments, as shown in fig. 5, the step S210 may include:

s510: the cloud server sends data checking requests to N edge servers in a parallel mode;

The S220 may include:

s520: and the N edge servers conduct data checking on the devices to be checked, which are connected with each other in a parallel mode.

It should be understood that the cloud server may have multiple processors, for example, the cloud server may have N processors that are in one-to-one correspondence with N edge servers, where the cloud server may employ N processors to send data verification requests to N edge servers simultaneously. Because the edge servers immediately perform data checking on the connected devices to be checked after receiving the data checking request, the distances between the N edge servers and the cloud servers are ignored, in other words, the distances between the N edge servers and the cloud servers are identical, and the N edge servers can be parallel, namely, data checking is performed on the respectively connected devices to be checked at the same time.

In the embodiment of the application, the cloud server sends data checking requests to the N edge servers in a parallel mode, and the N edge servers perform data checking on the respectively connected equipment to be checked in a parallel mode, which is different from the synchronous mode. From the perspective of operation and maintenance personnel, if the operation and maintenance personnel issues a data checking command on a webpage of an operation and maintenance platform, after clicking the webpage once, the synchronization mode causes long-time blocking, so that the operation and maintenance personnel cannot obtain a data checking result, and in a word, the synchronization mode has the problem of low data checking efficiency. However, the data checking time is the maximum data checking time of the data checking time corresponding to the N edge servers in a parallel data checking mode, for example, 2 minutes, and obviously, the data checking efficiency can be greatly improved based on the parallel data checking mode. In particular, in the whole network checking scene, the parallel data checking mode has more remarkable efficiency.

It should be understood that the data checking method provided by the embodiment of the present application is not limited to the parallel or asynchronous concurrency method.

In some embodiments, fig. 6 is a schematic device management diagram provided in the embodiments of the present application, as shown in fig. 6, when a target edge server is not yet connected to a cloud server, the target edge server may send a connection establishment request to the cloud server, the cloud server may establish a connection with the target edge server based on the connection establishment request, and further, after a new connection is established between the target edge server and a first network device, the target edge server may send a mapping relationship establishment request to the cloud server; the cloud server may establish a mapping relationship between the target edge server and the first network device based on the mapping relationship establishment request.

It should be appreciated that the connection establishment request is for requesting establishment of a connection between the cloud server and the target edge server.

In some embodiments, after the cloud server establishes the connection between the cloud server and the target edge server, a connection establishment response may be sent to the target edge server to indicate that the connection between the cloud server and the target edge server has been established.

It should be understood that the mapping relation establishment request is used to request establishment of a mapping relation between the target edge server and the first network device.

In some embodiments, the mapping relation establishment request may carry an identification of the target edge server and an identification of the first network device.

In some embodiments, after the cloud server establishes the mapping relationship between the target edge server and the first network device, the mapping relationship may be stored in a database connected to the cloud server.

In some embodiments, after the mapping relationship between the target edge server and the first network device is established, the cloud server may send a mapping relationship establishment response to the target edge server, where the mapping relationship between the target edge server and the first network device is used to indicate that the mapping relationship between the target edge server and the first network device is established.

In some embodiments, the first network device may be one or more, and embodiments of the present application are not limited in this regard.

In some embodiments, the target edge server may be any one of the N edge servers, or may be different from the N edge servers, which is not limited by the embodiment of the present application.

It should be understood that the target edge server in this embodiment may be the same edge server as the target edge servers in other embodiments, or may be different edge servers.

In some embodiments, the cloud server may issue data of the first network device, for example, a configuration of the first network device, to the target edge server, where the target edge server may store the data in a database connected thereto, and may issue the data to the first network device.

In some embodiments, the cloud server may issue a data verification request to the target edge server, the data verification request being for requesting verification of the data of the first network device, the target edge server may perform data verification on the first network device based on the data verification request, and send a data verification response to the cloud server.

In the embodiment of the application, the target edge server can send a connection establishment request to the cloud server, the cloud server can establish connection with the target edge server based on the connection establishment request, and after new connection is established between the target edge server and the first network device, the target edge server can send a mapping relation establishment request to the cloud server; the cloud server may establish a mapping relationship between the target edge server and the first network device based on the mapping relationship establishment request. Therefore, the data check of the cloud server on the first network device can be realized, and the flexible management of the cloud server on the edge server and the network device can be realized.

In some embodiments, fig. 7 is another schematic device management diagram provided in the embodiments of the present application, as shown in fig. 7, after a target edge server is connected to a cloud server and a new connection is established between the target edge server and a first network device, the target edge server may send a mapping relationship establishment request to the cloud server; the cloud server may establish a mapping relationship between the target edge server and the first network device based on the mapping relationship establishment request.

The difference between this embodiment and the previous embodiment is that: in this embodiment, a connection is already established between the cloud server and the target edge server, and in the previous embodiment, no connection is yet established between the cloud server and the target edge server, so that the connection needs to be established between the cloud server and the target edge server first, and then the mapping relationship between the target edge server and the first network device is established.

In some embodiments, fig. 8 is a schematic diagram of still another device management provided in an embodiment of the present application, as shown in fig. 8, when a target edge server is already connected to a cloud server, and a network device connected to the target edge server includes: the second network device, after the target edge server deletes the connection between the target edge server and the second network device, the target edge server can send a mapping relation deletion request to the cloud server; the cloud server may delete the mapping relationship between the target edge server and the second network device based on the mapping relationship deletion request.

In some embodiments, the mapping deletion request is for requesting deletion of a mapping between the target edge server and the second network device.

In some embodiments, the mapping deletion request includes: the identity of the target edge server and the identity of the second network device.

In some embodiments, after deleting the mapping relationship between the target edge server and the second network device, the cloud server may send a mapping relationship deletion response to the target edge server, where the mapping relationship between the target edge server and the first network device is used to indicate that the mapping relationship has been deleted.

In some embodiments, the second network device may be one or more, and embodiments of the present application are not limited in this respect.

In the embodiment of the application, the target edge server can send a mapping relation deleting request to the cloud server; the cloud server may delete the mapping relationship between the target edge server and the second network device based on the mapping relationship deletion request. Therefore, the cloud server can flexibly manage the edge server and the network equipment.

In some embodiments, fig. 9 is a schematic diagram of still another device management provided in an embodiment of the present application, as shown in fig. 9, when a target edge server is already connected to a cloud server, and a network device connected to the target edge server includes: a fourth network device, the target edge server may delete the connection between it and the fourth network device and establish the connection between it and the fifth network device, i.e., the target edge server updates the fourth network device to the fourth network device, in which case the target edge server may send a mapping relationship change request to the cloud server; the cloud server may delete the mapping relationship between the target edge server and the fourth network device based on the mapping relationship change request, and establish the mapping relationship between the target edge server and the fifth network device, in other words, the cloud server may update the mapping relationship between the target edge server and the fourth network device to the mapping relationship between the target edge server and the fifth network device.

In some embodiments, the mapping relation update request is used to request that the mapping relation between the target edge server and the fourth network device be new to the mapping relation between the target edge server and the fifth network device.

In some embodiments, the mapping update request includes: the identity of the target edge server, the identity of the fourth network device, and the identity of the fifth network device.

In some embodiments, after the cloud server updates the mapping relationship between the target edge server and the fourth network device to the mapping relationship between the target edge server and the fifth network device, the cloud server may send a mapping relationship update response to the target edge server to indicate that the cloud server has updated the mapping relationship between the target edge server and the fourth network device to the mapping relationship between the target edge server and the fifth network device.

In some embodiments, the fourth network device may be M, and the fifth network device may be M, where M is a positive integer.

It should be understood that the M fourth network devices and the M fifth network devices are in one-to-one correspondence, that is, when the cloud server updates the mapping relationship, the cloud server updates the mapping relationship between the target edge server and the fourth network device to the mapping relationship between the target edge server and the fifth network device corresponding to the fourth network device.

In the embodiment of the application, the target edge server can send a mapping relation update request to the cloud server; the cloud server may update the mapping relationship between the target edge server and the fourth network device to the mapping relationship between the target edge server and the fifth network device based on the mapping relationship update request. Therefore, the cloud server can flexibly manage the edge server and the network equipment.

In some embodiments, fig. 10 is a schematic diagram of data transmission provided by an embodiment of the present application, where, as shown in fig. 10, a cloud server may send a first indication to a target edge server; the target edge server may send public data to at least one network device to which the target edge server is connected based on the first indication.

In one example, assuming that the configuration of network devices in the jurisdiction of the edge server a that the cloud server needs to issue is identical, the cloud server need only send a first indication to the edge server a, where the first indication is used to indicate that the configuration is sent to at least one network device to which the edge server a is connected.

It should be appreciated that the first indication is used to indicate to send common data to at least one network device to which the target edge server is connected.

In some embodiments, the first indication may include: public data sent to at least one network device to which the target edge server is connected.

In some embodiments, the first indication may not also carry an identifier of at least one network device connected to the target edge server, but may also carry an identifier of at least one network device connected to the target edge server.

In some embodiments, the target edge server, upon receiving the common data, may store the common data in its connected database for subsequent data verification.

In the embodiment of the application, the cloud server can issue the public data to at least one network device connected with the target edge server through the target edge server, and in this case, the first indication sent by the cloud server to the target edge server may not carry the identifier of the at least one network device, so that the data transmission overhead of the cloud server may be reduced.

In some embodiments, fig. 11 is another schematic diagram of data transmission provided by the embodiment of the present application, where, as shown in fig. 11, a cloud server may send a second indication to a target edge server; the target edge server may send proprietary data to a third network device to which the target edge server is connected based on the second indication.

In one example, assuming that the cloud server needs to issue a configuration of a third network device in the jurisdiction of edge server B as a proprietary configuration, the cloud server may send a second indication to the edge server B indicating to send the third network device's proprietary configuration to the third network device to which edge server B is connected.

It should be appreciated that the second indication is used to indicate that proprietary data is sent to the third network device to which the target edge server is connected.

In some embodiments, the second indication may include: and sending the exclusive data to the third network equipment connected with the target edge server.

In some embodiments, the first indication may also carry an identification of the third network device.

In some embodiments, after receiving the proprietary data of the third network device, the target edge server may store the proprietary data in a database to which it is connected for subsequent data verification.

Fig. 12 is a schematic diagram of a cloud server 1200 according to an embodiment of the present application, as shown in fig. 12, the cloud server 1200 may include: the device comprises a sending module 1210 and a receiving module 1220, wherein the sending module 1210 is configured to send a data checking request to N edge servers, where N is a positive integer; the data checking request is used for requesting to perform data checking on the equipment to be checked, which is respectively connected with the N edge servers; the receiving module 1220 is configured to receive data check responses sent by the N edge servers.

In some embodiments, the sending module 1210 is specifically configured to: and sending data checking requests to the N edge servers in a concurrent mode, so that the N edge servers perform data checking on the respectively connected equipment to be checked in an asynchronous mode.

In some embodiments, cloud server 1200 may further comprise: the device comprises an acquisition module 1230 and a determination module 1240, wherein the acquisition module 1230 is configured to acquire a mapping relationship between a device to be checked and N edge servers, which are connected to each of the N edge servers, before the transmission module 1210 transmits a data checking request to the N edge servers; the determining module 1240 is configured to determine N edge servers based on the mapping relationship.

In some embodiments, cloud server 1200 may further comprise: the establishing module 1250, wherein the receiving module 1220 is further configured to receive a connection establishment request sent by the target edge server; the establishing module 1250 is configured to establish a connection with the target edge server based on the connection establishment request; the receiving module 1220 is further configured to receive a mapping relationship establishment request sent by the target edge server; the establishing module 1250 is further configured to establish a mapping relationship between the target edge server and the first network device based on the mapping relationship establishment request.

In some embodiments, cloud server 1200 may further comprise: a deletion module 1260, where the receiving module 1220 is further configured to receive a mapping relation deletion request sent by the target edge server; the deletion module 1260 is configured to delete the mapping relationship between the target edge server and the second network device based on the mapping relationship deletion request.

In some embodiments, the sending module 1210 is further configured to send a first indication to a target edge server; wherein the first indication is for indicating to send common data to at least one network device to which the target edge server is connected.

In some embodiments, the sending module 1210 is further configured to send a second indication to the target edge server; the second instruction is used for indicating to send exclusive data to the third network equipment connected with the target edge server.

It should be understood that apparatus embodiments and method embodiments may correspond with each other and that similar descriptions may refer to the method embodiments. To avoid repetition, no further description is provided here. Specifically, the cloud server 1200 shown in fig. 12 may execute a method embodiment corresponding to the cloud server side, and the foregoing and other operations and/or functions of each module in the cloud server 1200 are respectively for implementing corresponding flows in the method embodiment corresponding to the cloud server side, which are not described herein for brevity.

The cloud server 1200 of the embodiment of the present application is described above in terms of functional modules in conjunction with the accompanying drawings. It should be understood that the functional module may be implemented in hardware, or may be implemented by instructions in software, or may be implemented by a combination of hardware and software modules. Specifically, each step of the method embodiment in the embodiment of the present application may be implemented by an integrated logic circuit of hardware in a processor and/or an instruction in a software form, and the steps of the method disclosed in connection with the embodiment of the present application may be directly implemented as a hardware decoding processor or implemented by a combination of hardware and software modules in the decoding processor. Alternatively, the software modules may be located in a well-established storage medium in the art such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, and the like. The storage medium is located in a memory, and the processor reads information in the memory, and in combination with hardware, performs the steps in the above method embodiments.

Fig. 13 is a schematic diagram of an edge server 1300 according to an embodiment of the present application, where the edge server 1300 is a target edge server, and the edge server 1300 may include: the cloud server comprises a receiving module 1310, a data checking module 1320 and a sending module 1330, wherein the receiving module 1310 is used for receiving a data checking request sent by the cloud server; the data checking module 1320 is configured to perform data checking on a device to be checked connected to the target edge server based on the data checking request; the sending module 1330 is configured to send a data check response to the cloud server.

In some embodiments, the transmit module 1330 is further to: before the receiving module 1310 receives the data checking request sent by the cloud server, sending a connection establishment request to the cloud server; the connection establishment request is used for requesting to establish connection between the cloud server and the target edge server; sending a mapping relation establishment request to a cloud server; the mapping relation establishment request is used for requesting to establish a mapping relation between the target edge server and the first network equipment.

In some embodiments, the transmit module 1330 is further to: sending a mapping relation deleting request to a cloud server; the mapping relation deletion request is used for requesting to delete the mapping relation between the target edge server and the second network device.

In some embodiments, the receiving module 1310 is further configured to receive a first indication sent by the cloud server; the sending module 1330 is further configured to send the public data to at least one network device connected to the target edge server based on the first indication.

In some embodiments, the receiving module 1310 is further configured to receive a second indication sent by the cloud server; the sending module 1330 is further configured to send the dedicated data to a third network device connected to the target edge server based on the second indication.

It should be understood that apparatus embodiments and method embodiments may correspond with each other and that similar descriptions may refer to the method embodiments. To avoid repetition, no further description is provided here. Specifically, the edge server 1300 shown in fig. 13 may execute a method embodiment corresponding to the target edge server side, and the foregoing and other operations and/or functions of each module in the edge server 1300 are respectively for implementing corresponding flows in the method embodiment corresponding to the target edge server side, which are not described herein for brevity.

The edge server 1300 according to the embodiment of the present application is described above in terms of functional modules with reference to the accompanying drawings. It should be understood that the functional module may be implemented in hardware, or may be implemented by instructions in software, or may be implemented by a combination of hardware and software modules. Specifically, each step of the method embodiment in the embodiment of the present application may be implemented by an integrated logic circuit of hardware in a processor and/or an instruction in a software form, and the steps of the method disclosed in connection with the embodiment of the present application may be directly implemented as a hardware decoding processor or implemented by a combination of hardware and software modules in the decoding processor. Alternatively, the software modules may be located in a well-established storage medium in the art such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, and the like. The storage medium is located in a memory, and the processor reads information in the memory, and in combination with hardware, performs the steps in the above method embodiments.

Fig. 14 is a schematic block diagram of an electronic device provided by an embodiment of the present application. The electronic device may be the cloud server or the edge server.

As shown in fig. 14, the electronic device may include:

a memory 1410 and a processor 1420, the memory 1410 being for storing a computer program and transmitting the program code to the processor 1420. In other words, the processor 1420 may call and execute a computer program from the memory 1410 to implement the method in the embodiment of the present application.

For example, the processor 1420 may be used to perform the method embodiments described above in accordance with instructions in the computer program.

In some embodiments of the application, the processor 1420 may include, but is not limited to:

A general purpose Processor, digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field programmable gate array (Field Programmable GATE ARRAY, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like.

In some embodiments of the application, the memory 1410 includes, but is not limited to:

Volatile memory and/or nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM) which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (STATIC RAM, SRAM), dynamic random access memory (DYNAMIC RAM, DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate Synchronous dynamic random access memory (Double DATA RATE SDRAM, DDR SDRAM), enhanced Synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCH LINK DRAM, SLDRAM), and Direct memory bus RAM (DR RAM).

In some embodiments of the application, the computer program may be partitioned into one or more modules that are stored in the memory 1410 and executed by the processor 1420 to perform the methods provided by the present application. The one or more modules may be a series of computer program instruction segments capable of performing the specified functions, which are used to describe the execution of the computer program in the electronic device.

As shown in fig. 14, the electronic device may further include:

A transceiver 1430, the transceiver 1430 being connectable to the processor 1420 or memory 1410.

Wherein the processor 1420 may control the transceiver 1430 to communicate with other devices, in particular, may transmit information or data to other devices, or receive information or data transmitted by other devices. The transceiver 1430 may include a transmitter and a receiver. The transceiver 1430 may further include an antenna, the number of which may be one or more.

It will be appreciated that the various components in the electronic device are connected by a bus system that includes, in addition to a data bus, a power bus, a control bus, and a status signal bus.

The present application also provides a computer storage medium having stored thereon a computer program which, when executed by a computer, enables the computer to perform the method of the above-described method embodiments. Alternatively, embodiments of the present application also provide a computer program product comprising instructions which, when executed by a computer, cause the computer to perform the method of the method embodiments described above.

When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital video disc (digital video disc, DVD)), or a semiconductor medium (e.g., a Solid State Drive (SSD)), or the like.

Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.

The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. For example, functional modules in various embodiments of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.

The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A data processing method, wherein the method is applied to a cloud server, and the method comprises:

Transmitting data checking requests to N edge servers, wherein N is a positive integer; the data checking request is used for requesting to perform data checking on the equipment to be checked, which is respectively connected with the N edge servers;

and receiving data check responses sent by the N edge servers.

2. The method of claim 1, wherein sending the data check request to the N edge servers comprises:

and transmitting the data checking request to the N edge servers in a concurrent mode, so that the N edge servers perform data checking on the respectively connected equipment to be checked in an asynchronous mode.

3. The method according to claim 1 or 2, wherein before the sending the data check request to the N edge servers, further comprising:

obtaining mapping relations between to-be-checked equipment connected with each of the N edge servers and the N edge servers;

And determining the N edge servers based on the mapping relation.

4. The method according to claim 1 or 2, further comprising:

receiving a connection establishment request sent by a target edge server;

establishing a connection with the target edge server based on the connection establishment request;

receiving a mapping relation establishment request sent by the target edge server;

and establishing a mapping relation between the target edge server and the first network equipment based on the mapping relation establishment request.

5. The method according to claim 1 or 2, further comprising:

Receiving a mapping relation deleting request sent by a target edge server;

And deleting the mapping relation between the target edge server and the second network equipment based on the mapping relation deleting request.

6. The method according to claim 1 or 2, further comprising:

Sending a first indication to a target edge server;

Wherein the first indication is used for indicating to send public data to at least one network device connected to the target edge server.

7. The method according to claim 1 or 2, further comprising:

Sending a second indication to the target edge server;

the second instruction is used for indicating to send exclusive data to a third network device connected with the target edge server.

8. A data processing method, wherein the method is applied to a target edge server, the method comprising:

receiving a data checking request sent by a cloud server;

Performing data checking on equipment to be checked, which is connected with the target edge server, based on the data checking request;

and sending a data check response to the cloud server.

9. The method of claim 8, further comprising, prior to receiving the data verification request sent by the cloud server:

Sending a connection establishment request to the cloud server; the connection establishment request is used for requesting to establish connection between the cloud server and the target edge server;

Sending a mapping relation establishment request to the cloud server; the mapping relation establishment request is used for requesting to establish a mapping relation between the target edge server and the first network equipment.

10. The method according to claim 8 or 9, further comprising:

sending a mapping relation deleting request to the cloud server; the mapping relation deleting request is used for requesting to delete the mapping relation between the target edge server and the second network equipment.

11. The method according to claim 8 or 9, further comprising:

receiving a first indication sent by the cloud server;

and sending public data to at least one network device connected with the target edge server based on the first indication.

12. The method according to claim 8 or 9, further comprising:

Receiving a second indication sent by the cloud server;

And sending exclusive data to a third network device connected with the target edge server based on the second indication.

13. A cloud server, comprising:

The sending module is used for sending data checking requests to N edge servers, wherein N is a positive integer; the data checking request is used for requesting to perform data checking on the equipment to be checked, which is respectively connected with the N edge servers;

And the receiving module is used for receiving the data check responses sent by the N edge servers.

14. An edge server, wherein the edge server is a target edge server, comprising:

the receiving module is used for receiving a data checking request sent by the cloud server;

The data checking module is used for performing data checking on equipment to be checked, which is connected with the target edge server, based on the data checking request;

And the sending module is used for sending a data checking response to the cloud server.

15. An electronic device, comprising:

A processor and a memory for storing a computer program, the processor being for invoking and running the computer program stored in the memory to perform the method of any of claims 1 to 12.

16. A computer readable storage medium for storing a computer program which, when run on a computer, causes the computer to perform the method of any one of claims 1 to 12.