CN112702422A

CN112702422A - Big data cooperative processing method based on cloud computing and edge computing and cloud server

Info

Publication number: CN112702422A
Application number: CN202011531070.1A
Authority: CN
Inventors: 陆银华
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-12-22
Filing date: 2020-12-22
Publication date: 2021-04-23

Abstract

The invention relates to a big data cooperative processing method based on cloud computing and edge computing and a cloud server, which can analyze a network state layer and an interaction state layer aiming at different service data processing results to obtain local network state information and local interaction state information, thereby realizing updating of the current global network state information and the global interaction state information to be processed and repeatedly executing service network repair, and continuously adjusting and optimizing the cooperativity between different edge service terminals, so that the high correlation of the service layers can exist between different service data processing results as far as possible, and the target global service data can be obtained by integrating global service data. The integrity of the target global service data obtained by integration can be ensured through iterative repair, and the loss of part of service data due to the influence of different network states and different interaction states in the integration process is avoided, so that the data processing can meet the actual service requirements.

Description

Big data cooperative processing method based on cloud computing and edge computing and cloud server

Technical Field

The application relates to the technical field of cloud computing, edge computing and cloud edge cooperation, in particular to a big data cooperative processing method and a cloud server based on cloud computing and edge computing.

Background

With the rapid development of communication technology, various big data processing and computing requirements are higher and higher, common big data processing can be divided into cloud computing and edge computing, and relativity exists between the cloud computing and the edge computing. Cloud computing is a centralized data communication processing technology, and all data are transmitted to a cloud computing center through a network for processing. The high concentration and integration of resources enable cloud computing to have high universality, however, in the face of explosive growth of big data, the centralized processing technology based on cloud computing gradually shows the defects of real-time performance, network restriction, resource overhead and privacy protection.

In contrast, edge computing refers to a distributed data communication processing technology that merges network, computing, storage, and application core capabilities at the edge side of a network near an object or a data source, and edge computing can provide edge intelligent services nearby. Due to the shortening of a transmission link, the edge calculation can quickly and efficiently respond to business requirements on a data generation side, and the local processing of data can also improve the privacy protection degree of a user. In addition, edge computing reduces the dependence of services on the network.

The inventors have found that both cloud computing and edge computing have their own advantages. However, in some actual service scenarios, the cloud computing technology or the edge computing technology is used alone to process service data, which is difficult to meet actual service requirements, and may cause loss of relevant important data in the service processing process.

Disclosure of Invention

In a first aspect of the embodiments of the present invention, a big data cooperative processing method based on cloud computing and edge computing is provided, where the method includes:

acquiring a service data processing result uploaded by an edge service terminal, and determining local service state information of the service data processing result uploaded by the edge service terminal, wherein the local service state information comprises local network state information and local interaction state information;

determining current global network state information from current global service data corresponding to the service data processing result uploaded by the edge service terminal, and acquiring corresponding global interaction state information to be processed based on the service data processing result uploaded by the edge service terminal; performing service network repair based on the current global network state information, the global interaction state information to be processed and the local service state information to obtain a repaired service network label;

determining repaired global interaction state information from the current global service data according to the repaired service network tag, and determining a repaired service demand tag corresponding to the current global service data according to the repaired global interaction state information and the current global network state information;

performing state information matching on the repaired global interaction state information and the current global network state information based on the repaired service network label to obtain a local matching result, updating the current global network state information and the global interaction state information to be processed according to the local matching result and a first service requirement comparison result of the local service state information, and returning to the step of repairing the service network until a first cooperative processing index is met; and performing global service data integration based on the repaired service demand label and the repaired service network label meeting the first cooperative processing index to obtain target global service data corresponding to the service data processing result uploaded by the edge service terminal.

In a second aspect of the embodiments of the present invention, a cloud server is provided, including a processing engine, a network module, and a memory; the processing engine and the memory communicate via the network module, and the processing engine reads the computer program from the memory and runs the computer program to perform the method of the first aspect.

In a third aspect of the embodiments of the present invention, there is provided a computer-readable signal medium having a computer program stored thereon, where the computer program is run to implement the method of the first aspect.

Technical effects

By implementing the technical scheme, the analysis of the network state level and the interaction state level can be carried out aiming at the service data processing results uploaded by different edge service terminals to obtain the local network state information and the local interaction state information, thereby realizing updating the current global network state information and the global interactive state information to be processed and repeatedly executing the service network repair, thus continuously adjusting and optimizing the cooperativity between different edge service terminals, so that the high correlation of the service level can exist between the processing results of different service data as far as possible, so that the local service requirement between the edge service terminals and the local service network meet the preset cooperative processing index, and further realizing the integration of global service data on the service data processing results uploaded by different edge service terminals to obtain target global service data. Because the difference between the network level and the interaction level is considered when the service data is integrated, the integrity of the integrated target global service data can be ensured through iterative repair, and the loss of part of service data due to the influence of different network states and different interaction states in the integration process is avoided, so that the data processing can meet the actual service requirements.

In the description that follows, additional features will be set forth, in part, in the description. These features will be in part apparent to those skilled in the art upon examination of the following and the accompanying drawings, or may be learned by production or use. The features of the present application may be realized and attained by practice or use of various aspects of the methodologies, instrumentalities and combinations particularly pointed out in the detailed examples that follow.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

The methods, systems, and/or processes of the figures are further described in accordance with the exemplary embodiments. These exemplary embodiments will be described in detail with reference to the drawings. These exemplary embodiments are non-limiting exemplary embodiments in which reference numerals represent similar mechanisms throughout the various views of the drawings.

FIG. 1 is a block diagram of an exemplary cloud computing and edge computing based big data co-processing system, according to some embodiments of the invention.

Fig. 2 is a schematic diagram of hardware and software components in an exemplary cloud server, according to some embodiments of the invention.

FIG. 3 is a flow diagram illustrating an exemplary cloud computing and edge computing based big data co-processing method and/or process, according to some embodiments of the invention.

FIG. 4 is a block diagram of an exemplary cloud computing and edge computing based big data co-processing apparatus, according to some embodiments of the invention.

FIG. 5 is a schematic diagram illustrating an operating state of an exemplary cloud computing and edge computing based big data co-processing system, according to some embodiments of the invention.

Detailed Description

In practical applications, the service scenario includes, but is not limited to, block chain payment, block chain finance, cloud service processing, remote online education, remote online office, smart city management, smart medical management, cloud gaming platform, virtual reality interaction, industrial internet automation, smart manufacturing integration, smart park management, and the like. For the above service scenario, after the inventor studies and analyzes the remote online office, it is found that, currently, the remote online office usually needs to perform multi-terminal cooperation, however, it is relatively difficult to accurately and effectively integrate multi-terminal work results to obtain a global service processing result, because in the process of performing service data integration, there are differences (for example, differences between a network level and a data level) in the service data processing of different service terminals, and how to adaptively process the differences to ensure the integrity of the integrated service data, and it is a pain point currently to avoid loss of part of the service data in the integration process.

Therefore, the inventor innovatively provides a cloud computing and edge computing-based big data cooperative processing method and a cloud server, which can analyze a network state level and an interaction state level aiming at service data processing results uploaded by different edge service terminals, so that continuous repair of service networks corresponding to different edge service terminals is realized, local service requirements among the edge service terminals and the local service networks meet preset cooperative processing indexes, and further, global service data integration is realized on the service data processing results uploaded by different edge service terminals, so that target global service data is obtained. Because the difference between the network level and the interaction level is considered when the service data integration is carried out, the integrity of the target global service data obtained by integration can be ensured through iterative repair, and the loss of part of service data due to the influence of different network states and different interaction states in the integration process is avoided.

In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.

In the following detailed description, numerous specific details are set forth by way of examples in order to provide a thorough understanding of the relevant guidance. It will be apparent, however, to one skilled in the art that the present invention may be practiced without these specific details. In other instances, well-known methods, procedures, systems, compositions, and/or circuits have been described at a relatively high-level, without detail, in order to avoid unnecessarily obscuring aspects of the invention.

These and other features, functions, methods of execution, and combination of functions and elements of related elements in the structure and economies of manufacture disclosed in the present application may become more apparent upon consideration of the following description with reference to the accompanying drawings, all of which form a part of this application. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the application. It should be understood that the drawings are not to scale. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the invention. It should be understood that the drawings are not to scale.

Flowcharts are used herein to illustrate the implementations performed by systems according to embodiments of the present application. It should be expressly understood that the processes performed by the flowcharts may be performed out of order. Rather, these implementations may be performed in the reverse order or simultaneously. In addition, at least one other implementation may be added to the flowchart. One or more implementations may be deleted from the flowchart.

Fig. 1 is a block diagram illustrating an exemplary cloud computing and edge computing-based big data co-processing system 300 according to some embodiments of the present invention, where the cloud computing and edge computing-based big data co-processing system 300 may include a cloud server 100 and a plurality of edge service terminals 200.

In some embodiments, as shown in fig. 2, the cloud server 100 may include a processing engine 110, a network module 120, and a memory 130, the processing engine 110 and the memory 130 communicating through the network module 120.

Processing engine 110 may process the relevant information and/or data to perform one or more of the functions described herein. For example, in some embodiments, processing engine 110 may include at least one processing engine (e.g., a single core processing engine or a multi-core processor). By way of example only, the Processing engine 110 may include a Central Processing Unit (CPU), an Application-Specific Integrated Circuit (ASIC), an Application-Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a Reduced Instruction Set Computer (RISC), a microprocessor, or the like, or any combination thereof.

Network module 120 may facilitate the exchange of information and/or data. In some embodiments, the network module 120 may be any type of wired or wireless network or combination thereof. Merely by way of example, the Network module 120 may include a cable Network, a wired Network, a fiber optic Network, a telecommunications Network, an intranet, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth Network, a Wireless personal Area Network, a Near Field Communication (NFC) Network, and the like, or any combination thereof. In some embodiments, the network module 120 may include at least one network access point. For example, the network module 120 may include wired or wireless network access points, such as base stations and/or network access points.

The Memory 130 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 130 is used for storing a program, and the processing engine 110 executes the program after receiving the execution instruction.

It is to be understood that the configuration shown in fig. 2 is merely illustrative, and that cloud server 100 may include more or fewer components than shown in fig. 2, or have a different configuration than shown in fig. 2. The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.

Fig. 3 is a flowchart illustrating an exemplary cloud computing and edge computing-based big data collaborative processing method and/or process, where the cloud computing and edge computing-based big data collaborative processing method is applied to the cloud server 100 in fig. 1, and may specifically include the following steps S11 to S14.

Step S11, obtaining a service data processing result uploaded by the edge service terminal, and determining local service state information of the service data processing result uploaded by the edge service terminal, where the local service state information includes local network state information and local interaction state information.

For example, the edge service terminal may be a remote office device, in this embodiment, the remote office devices may be multiple, each remote office device may process a different service, for example, service processing of a feasibility study report for a construction project, some remote office devices may perform literal processing, other remote office devices may perform pictorial processing, and some remote office devices may perform construction simulation processing. The local network state information may represent a network state condition of a communication network where the edge service terminal is located when performing service processing, the local network state information of different edge service terminals may be different, and the local interaction state information is used to represent a communication interaction condition of the edge service terminal with other intelligent devices in the service processing process, for example, the edge service terminal performing construction simulation processing may perform data communication with some service devices when running construction simulation software. It can be understood that the local network state information and the local interaction state information are used for representing the service states corresponding to different service data processing results.

Step S12, determining current global network state information from current global service data corresponding to the service data processing result uploaded by the edge service terminal, and acquiring corresponding global interaction state information to be processed based on the service data processing result uploaded by the edge service terminal; and performing service network repair based on the current global network state information, the global interaction state information to be processed and the local service state information to obtain a repaired service network label.

For example, the current global service data may be obtained by the cloud server directly according to different service data processing results. The current global network state information may be a communication network state corresponding to the cloud server. The to-be-processed global interaction state information can be used for representing interaction states between different edge service terminals communicating with the cloud server. The service network repair may be, but is not limited to, adjustment of relevant network parameters such as data transmission protocol and data transmission channel. The service network label is used for representing different network states, and may be a network delay label, a network stability label, and the like.

Step S13, determining repaired global interaction state information from the current global service data according to the repaired service network tag, and determining a repaired service requirement tag corresponding to the current global service data according to the repaired global interaction state information and the current global network state information.

For example, the service requirement label may be a label corresponding to a service requirement acquired in advance, for example, which requirements (composition, layout, word number, emphasis point, etc.) are reported for the credibility research, and the repaired service requirement label may be understood as a label of a service requirement that is adjusted correspondingly after the service network is repaired. For example, after the service network is repaired, the transmission of the image data is limited, which may result in size reduction of the image data, and at this time, the original service requirement tag may correspond to an image quality requirement of not less than 5MB, while the repaired service requirement tag may correspond to an image quality requirement of not less than 1 MB. Of course, this is only an exemplary description, and there are many business requirements corresponding to the office project for remote office, which are not listed here.

Step S14, performing state information matching on the repaired global interaction state information and the current global network state information based on the repaired service network label to obtain a local matching result, updating the current global network state information and the global interaction state information to be processed according to a first service requirement comparison result of the local matching result and the local service state information, and returning to the step of repairing the service network until a first cooperative processing index is met; and performing global service data integration based on the repaired service demand label and the repaired service network label meeting the first cooperative processing index to obtain target global service data corresponding to the service data processing result uploaded by the edge service terminal.

For example, the local matching result may be a state information matching result corresponding to different edge service terminals in the global interaction state and the global network state, and is used to update subsequent state information. The service requirement comparison result may be a change between the local matching result and the local service state information at the service requirement level. The cooperative processing index can be used for representing different service data processing results to meet related index requirements (such as network state requirements or interaction state requirements) of data integration or sorting, so that the cloud server can avoid that partial service data processing results are lost in the integration process to influence the integrity of target global service data when performing global sorting of the service data processing results. In this embodiment, the target global business data can be understood as a complete report of the credibility research of the construction of the building.

It can be understood that the current global network state information and the global interaction state information to be processed are updated, the business network repair is repeatedly performed, and the cooperativity between different edge business terminals can be continuously adjusted and optimized, so that the high correlation of business layers can exist between different business data processing results as far as possible, for example, how to realize the matching between characters, images and simulation results, how to cooperate with the layout and typesetting of feasibility research reports, and the like. Therefore, data loss during service data integration can be avoided, for example, the problem that the simulation result is covered by the picture text when the simulation result is matched with the picture text can be avoided, and for example, noise interference of the text data on the picture data during text picture integration can be avoided.

It can be understood that, by implementing the contents described in the above steps S11-S14, the network state level and the interaction state level can be analyzed for the service data processing results uploaded by different edge service terminals to obtain the local network state information and the local interaction state information, so as to update the current global network state information and the global interaction state information to be processed and repeatedly perform service network repair, so that the cooperativity between different edge service terminals can be continuously adjusted and optimized, so that the high correlation of the service levels can exist between different service data processing results as much as possible, so that the local service requirements between the edge service terminals and the local service network satisfy the preset cooperative processing index, and further the global service data integration can be performed on the service data processing results uploaded by different edge service terminals, and obtaining target global service data. Because the difference between the network level and the interaction level is considered when the service data is integrated, the integrity of the integrated target global service data can be ensured through iterative repair, and the loss of part of service data due to the influence of different network states and different interaction states in the integration process is avoided, so that the data processing can meet the actual service requirements.

In the following, some alternative embodiments will be described, which should be understood as examples and not as technical features essential for implementing the present solution.

In an actual implementation process, the inventor finds that if different service data processing results are directly integrated, a problem of partial service data loss may be faced, and in order to improve the above phenomenon, the step S14, which is described in the above, updates the current global network state information and the global interaction state information to be processed according to the first service requirement comparison result of the local matching result and the local service state information, and returns to the step of repairing the service network until the first cooperative processing index is met, may include the following steps S141 and S142.

Step S141, determining to obtain a first service requirement comparison result based on the local matching result and the local service state information, and updating the current global service data based on the repaired service requirement tag when the first service requirement comparison result does not satisfy a first cooperative processing criterion, to obtain updated global service data. For example, when the service requirement change information corresponding to the first service requirement comparison result is not matched with the preset service requirement in the first cooperative processing index, it may be determined that the first service requirement comparison result does not satisfy the first cooperative processing index, and if the service requirement change information is that the number of the report characters is 2 ten thousand words and the preset service requirement in the first cooperative processing index is 1.5 ten thousand words, it may be determined that the first service requirement comparison result does not satisfy the first cooperative processing index.

Step S142, determining updated global network state information from the updated global service data to obtain updated current global network state information, taking the repaired global interaction state information as updated to-be-processed global interaction state information, and returning to the step of performing service network repair based on the current global network state information, the to-be-processed global interaction state information and the local service state information to obtain a repaired service network label until a first cooperative processing index is met. For example, the updated pending global interaction state information may be understood as the pending global interaction state information is after the update.

By such design, through the steps S141 and S142, before the integration of the service data processing result, it can be determined whether the first service requirement comparison result meets the first cooperative processing index, so as to ensure that the problem that part of the service data is caused by the mismatch between the service requirement change information corresponding to the first service requirement comparison result and the preset service requirement in the first cooperative processing index is avoided during the subsequent integration of the service data processing result, thereby ensuring the complete and reliable service data integration processing.

In the actual implementation process, the service data can be divided into delayed service data and non-delayed service data, and the processing for the two types of service data should be performed differently, so that the intelligent integration of the service data processing results is realized from the global level.

In some embodiments, if the service data processing result uploaded by the edge service terminal is a user interaction result corresponding to the delayed service data, and the local matching result includes local matching network state information and local matching interaction state information, determining to obtain a first service requirement comparison result based on the local matching result and the local service state information described in step S141 may include the following steps S1411 and S1412.

Step S1411, determining to obtain a service requirement comparison result corresponding to the network state information based on the local matching network state information and the local network state information, and determining to obtain a service requirement comparison result corresponding to the interaction state information based on the local matching interaction state information and the local interaction state information.

Step S1412, based on the service requirement comparison result corresponding to the interaction state information and the service requirement comparison result corresponding to the network state information, obtain the first service requirement comparison result of the local matching result and the local service state information.

In some embodiments, if the service data processing result uploaded by the edge service terminal is a user interaction result corresponding to non-delay service data, and the local matching result includes local matching network state information and local matching interaction state information, the determining to obtain the first service requirement comparison result based on the local matching result and the local service state information, which is described in step S141, may include the following contents described in step S141a to step S141 c.

Step S141a, determining to obtain a service requirement comparison result corresponding to the network status information based on the local matching network status information and the local network status information, and determining to obtain a service requirement comparison result corresponding to the interaction status information based on the local matching interaction status information and the local interaction status information.

Step S141b, obtaining a non-delay service requirement label corresponding to a user interaction result corresponding to the user operation service data of the user interaction result corresponding to the non-delay service data, where the non-delay service requirement label is a service requirement label used when the user interaction result corresponding to the user operation service data is integrated into the global service data.

Step S141c, determining a service requirement comparison result of the non-delayed service requirement label and the repaired service requirement label, and obtaining a first service requirement comparison result of the local matching result and the local service status information based on the service requirement comparison result corresponding to the interaction status information, the service requirement comparison result corresponding to the network status information, and the service requirement comparison result.

It can be understood that by performing differential processing on the delayed service data and the non-delayed service data, it can be ensured that the first service requirement comparison result matches with the actual service processing scenario as much as possible, thereby avoiding that the first service requirement comparison result omits some service requirement information to cause deviation in subsequent service data integration.

Further, the determining of the local service state information of the service data processing result uploaded by the edge service terminal described in step S11 may include the following steps S111 and S112.

And step S111, performing behavior recognition on the service data based on the service data processing result uploaded by the edge service terminal to obtain a user behavior recognition result of the service data.

Step S112, performing behavior classification on the service data in the user behavior identification result of the service data to obtain a user behavior classification result of the service data corresponding to the service data processing result uploaded by the edge service terminal; and determining local network state information and local interaction state information from the user behavior classification result of the service data.

In other possible embodiments, if the service data processing result uploaded by the edge service terminal is a user interaction result corresponding to the delayed service data, the acquiring, based on the service data processing result uploaded by the edge service terminal, of the global interaction state information to be processed, which is described in step S12, may include the following step S121 and step S122.

Step S121, obtaining service interaction delay information aiming at a specified service process, matching the current global network state information to network state information corresponding to a local edge network according to the service interaction delay information aiming at the specified service process to obtain matched network state information, and performing service network restoration based on the matched network state information and the local network state information to obtain a delay service network label.

Step S122, determining global interaction state information to be processed corresponding to the user interaction result corresponding to the delay service data from the user behavior identification result corresponding to the global service operation record of the current global service data according to the delay service network tag.

Thus, based on the above steps S121 and S122, the service interaction delay information can be taken into account, so as to ensure that the to-be-processed global interaction state information corresponding to the user interaction result corresponding to the delayed service data takes the delay condition into account, so as to ensure the timing accuracy of the to-be-processed global interaction state information.

Further, the step S121 of obtaining service interaction delay information for a specific service process may include the following steps S1211 to S1218.

Step S1211, obtaining each preset service interaction delay information, and determining current service interaction delay information from the each preset service interaction delay information. For example, the preset service interaction delay information may be predetermined by the cloud server according to the previous service data integration record.

Step S1212, matching the current global network state information to network state information corresponding to a local edge network according to the current service interaction delay information to obtain matching network state information corresponding to the service interaction delay information, and performing service network repair based on the matching network state information corresponding to the service interaction delay information and the local network state information to obtain a service network tag corresponding to the service interaction delay information.

Step S1213, determining global interaction state information corresponding to the service interaction delay information from the user behavior recognition result corresponding to the global service operation record of the current global service data according to the service network tag corresponding to the service interaction delay information.

Step S1214, performing service network repair for the service interaction delay information based on the global interaction state information, the current global network state information, and the local service state information corresponding to the service interaction delay information, to obtain a repaired service network tag for the service interaction delay information.

Step S1215, determining the repaired global interaction state information for the service interaction delay information from the user behavior recognition result corresponding to the global service operation record according to the repaired service network tag for the service interaction delay information.

Step S1216, determining a repaired service requirement tag for the service interaction delay information corresponding to the current global service data according to the repaired global interaction state information for the service interaction delay information and the current global network state information.

Step S1217, performing state information matching on the repaired global interaction state information and the current global network state information based on the repaired service network tag for the service interaction delay information to obtain a local matching result for the service interaction delay information, updating the global interaction state information and the current global network state information corresponding to the service interaction delay information according to the local matching result for the service interaction delay information and the second service requirement comparison result of the local service state information, and returning to the step of repairing the service network for the service interaction delay information until a second cooperative processing index is satisfied to obtain a current second service requirement comparison result corresponding to the current service interaction delay information. For example, the second co-processing indicator may be a co-processing indicator that takes into account an interaction delay, the second co-processing indicator differing from the first co-processing indicator.

Step S1218, traversing each preset service interaction delay information to obtain each current second service requirement comparison result corresponding to each preset service interaction delay information, comparing each current second service requirement comparison result to obtain a service requirement comparison result corresponding to the designated service flow, and taking the preset service interaction delay information corresponding to the service requirement comparison result corresponding to the designated service flow as the service interaction delay information for the designated service flow. For example, the specified business process may be a business process configured in advance, such as the business process of the feasibility study report of the construction project described above.

By means of the design, based on the steps S1211 to S1218, the service interaction delay information of the specified service flow can be accurately analyzed, and differences of different local edge networks are considered, so that the service interaction delay information for the specified service flow can be determined in combination with different service requirement comparison results, and high correlation and high matching degree between the service interaction delay information and the specified service flow are ensured.

For a further embodiment, the step S1217 of updating the global interaction state information and the current global network state information corresponding to the service interaction delay information according to the local matching result for the service interaction delay information and the second service requirement comparison result of the local service state information, and returning to the step of repairing the service network for the service interaction delay information until the second cooperative processing index is satisfied may include the following steps S12171 and S12172.

Step S12171, when the second service requirement comparison result does not satisfy the second cooperative processing criterion, updating the current global service data based on the repaired service requirement tag for the service interaction delay information, to obtain updated global service data for the service interaction delay information. For example, the determination manner between the second service requirement comparison result and the second cooperative processing index may refer to the determination manner between the first service requirement comparison result and the first cooperative processing index, which is not described herein again.

Step S12172, determining updated global network state information for the service interaction delay information from the updated global service data for the service interaction delay information, taking the updated global network state information for the service interaction delay information as the current global network state information, and using the repaired global interaction state information for the service interaction delay information as global interaction state information corresponding to the service interaction delay information, and returning to the step of performing service network repair for the service interaction delay information based on the global interaction state information corresponding to the service interaction delay information, the current global network state information and the local service state information to obtain a repaired service network tag for the service interaction delay information until a second cooperative processing index is met.

Further, the performing service network repair based on the matching network status information and the local network status information to obtain the delayed service network tag as described in step S121 may include the following steps S121 a-S121 d.

Step S121a, obtaining a first preconfigured service network tag corresponding to the user interaction result corresponding to the delay service data, and matching the current global network state information to the network state information corresponding to the local edge network based on the first preconfigured service network tag to obtain matched network state information corresponding to the first delay tag. For example, the preconfigured service network tag may be preconfigured by the cloud server.

Step S121b, determining to obtain a third service requirement comparison result based on the matched network status information corresponding to the first delay label and the local network status information.

Step S121c, adjusting the first preconfigured service network label according to the third service requirement comparison result, and returning to the step of matching the current global network state information to the network state information corresponding to the local edge network based on the first preconfigured service network label to obtain the matched network state information corresponding to the first delay label until the third service requirement comparison result meets a third cooperative processing index. For example, the determination manner between the third service requirement comparison result and the third cooperative processing index may refer to the determination manner between the first service requirement comparison result and the first cooperative processing index, which is not described herein again.

Step S121d, using the first preconfigured service network label meeting the third cooperative processing index as the delayed service network label.

By the design, when the delay service network tag is determined, different cooperative processing indexes can be taken into account, so that the delay service network tag related to the delay service can be accurately selected from the first preconfigured service network tags.

For some other embodiments, if the service data processing result uploaded by the edge service terminal is a user interaction result corresponding to non-delayed service data, the obtaining, by step S12, corresponding to-be-processed global interaction state information based on the service data processing result uploaded by the edge service terminal may include the following steps S12a and S12 b.

Step S12a, obtaining interaction state information of a global service operation corresponding to a user interaction result corresponding to the user operation service data of the user interaction result corresponding to the non-delay service data, where the interaction state information of the global service operation is global interaction state information in the global service data corresponding to the user interaction result corresponding to the user operation service data.

Step S12b, using the interaction state information of the global service operation as the to-be-processed global interaction state information.

For a possible embodiment, if a service data processing result uploaded by the edge service terminal is a user interaction result corresponding to the delayed service data, the performing service network repair based on the current global network state information, the to-be-processed global interaction state information, and the local service state information described in step S12 to obtain a repaired service network label may include the following steps S1201 to S1204.

Step S1201, obtaining a second preconfigured service network tag corresponding to the user interaction result corresponding to the delayed service data, and matching the current global network state information and the to-be-processed global interaction state information to network state information corresponding to a local edge network based on the second preconfigured service network tag to obtain a local matching result for the delayed service data.

Step S1202, determining to obtain a fourth service requirement comparison result based on the local matching result for the delayed service data and the local service state information.

Step S1203, adjusting the second preconfigured service network tag according to the fourth service requirement comparison result, and returning to the step of matching the current global network state information and the to-be-processed global interaction state information to network state information corresponding to a local edge network based on the second preconfigured service network tag to obtain a local matching result for delayed service data until the fourth service requirement comparison result meets a fourth cooperative processing index. For example, the determination manner between the fourth service requirement comparison result and the fourth cooperative processing index may refer to the determination manner between the first service requirement comparison result and the first cooperative processing index, which is not described herein again.

Step S1204, using the second preconfigured service network label meeting the fourth cooperative processing index as a repaired service network label corresponding to the user interaction result corresponding to the delayed service data.

By adopting the design, based on the steps S1201-S1204, different cooperative processing indexes can be taken into consideration, so as to distinguish the delayed service from the non-delayed service, thereby avoiding confusion between the repaired service network tag corresponding to the user interaction result corresponding to the delayed service data and the service network tag corresponding to the related non-delayed service.

In some alternative embodiments, if the service data processing result uploaded by the edge service terminal is a user interaction result corresponding to non-delayed service data, the service network is repaired based on the current global network state information, the to-be-processed global interaction state information, and the local service state information, which are described in step S12, to obtain a repaired service network label, which may also be implemented through the contents described in the following steps (1) to (5).

(1) And acquiring a third preconfigured service network label corresponding to the user interaction result corresponding to the non-delayed service data, and matching the current global network state information and the to-be-processed global interaction state information to network state information corresponding to a local edge network according to the third preconfigured service network label to obtain a local matching result for the non-delayed service data.

(2) And determining to obtain a fifth service requirement comparison result based on the local matching result for the non-delayed service data and the local service state information, and obtaining a service network tag for the real-time service operation corresponding to a user interaction result corresponding to user operation service data of a user interaction result corresponding to the non-delayed service data, wherein the service network tag for the real-time service operation is a service network tag for global service data corresponding to the user interaction result corresponding to the user operation service data.

(3) Determining a service requirement comparison result for the non-delay service data of the service network tag for the real-time service operation and the third preconfigured service network tag, and obtaining a service requirement comparison result for the third preconfigured service network tag according to the fifth service requirement comparison result and the service requirement comparison result for the non-delay service data.

(4) And adjusting a third preconfigured service network tag corresponding to the user interaction result corresponding to the non-delayed service data according to the service requirement comparison result for the third preconfigured service network tag, and returning to the step of matching the current global network state information and the to-be-processed global interaction state information to network state information corresponding to a local edge network according to the third preconfigured service network tag to obtain a local matching result for the non-delayed service data until the service requirement comparison result for the third preconfigured service network tag meets a fifth cooperative processing index.

(5) And taking the third preconfigured service network label meeting the fifth cooperative processing index as a repaired service network label corresponding to the user interaction result corresponding to the non-delayed service data.

In an alternative embodiment, the step S13 of determining the repaired global interaction state information from the current global service data according to the repaired service network label may include the following steps S131 to S133.

Step S131, obtaining a preset number of user behavior events in the user behavior recognition result corresponding to the global service operation record of the current global service data, obtaining an edge service issuing record, and determining corresponding global work division state information from the preset number of user behavior events according to the edge service issuing record.

Step S132, matching the global division work state information to the network state information corresponding to the local edge network according to the repaired service network label to obtain the division work matching result of each service.

Step S133, determining to obtain a service requirement comparison result in the division state based on each service division matching result and the local interaction state information, comparing the service requirement comparison results in the division state corresponding to each service division matching result to obtain a service requirement comparison result in the current division state, and taking the global division state information corresponding to the service requirement comparison result in the current division state as the repaired global interaction state information corresponding to the local interaction state information.

By adopting the design, the user behavior event and the edge service issuing record can be analyzed through the steps S131 to S133, so that different division work states can be determined, and the repaired global interaction state information can be accurately determined according to the different division work states.

In an alternative embodiment, the determining, in step S12, the current global network state information from the current global service data corresponding to the service data processing result uploaded from the edge service terminal may include: and splicing the processing results of the service data corresponding to each edge service terminal according to a preset cooperation relationship to obtain current global service data, and determining the current global network state information according to the service data interaction path corresponding to the current global service data.

In an alternative embodiment, the determining, according to the repaired global interaction state information and the current global network state information, the repaired service requirement label corresponding to the current global service data in step S13 may include: and determining a candidate service demand label set according to a state synchronization result between the repaired global interaction state information and the current global network state information, and selecting a target service demand label with the same service name as the current global service data from the candidate service demand label set as a repaired service demand label corresponding to the current global service data.

In an alternative embodiment, the performing state information matching on the repaired global interaction state information and the current global network state information based on the repaired service network tag to obtain a local matching result as described in step S14 may include: determining a statistical result of the service interaction heat between the repaired global interaction state information and the current global network state information based on the repaired service network label; and performing state information matching on the repaired global interaction state information and at least part of state information in the current global network state information through the statistical result of the service interaction heat to obtain a local matching result.

In an alternative embodiment, the performing, as described in step S14, global service data integration based on the repaired service requirement label and the repaired service network label meeting the first cooperative processing index to obtain target global service data corresponding to the service data processing result uploaded by the edge service terminal may include: determining a label pairing result between a repaired service demand label meeting the first cooperative processing index and a repaired service network label meeting the first cooperative processing index; extracting service item data in a service data processing result uploaded by the edge service terminal according to the label matching result; integrating the service item data according to service indication information corresponding to a specified service process to obtain the target global service data; and the target global service data corresponds to the service configuration information of the service indication information.

Based on the same inventive concept, related device embodiments are also provided, and fig. 4 is a block diagram of an exemplary cloud computing and edge computing based big data coprocessing device 400 according to some embodiments of the invention, where the cloud computing and edge computing based big data coprocessing device 400 may include the following functional modules.

A data obtaining module 410, configured to obtain a service data processing result uploaded by an edge service terminal, and determine local service state information of the service data processing result uploaded by the edge service terminal, where the local service state information includes local network state information and local interaction state information.

A network repair module 420, configured to determine current global network state information from current global service data corresponding to a service data processing result uploaded by the edge service terminal, and obtain corresponding global interaction state information to be processed based on the service data processing result uploaded by the edge service terminal; and performing service network repair based on the current global network state information, the global interaction state information to be processed and the local service state information to obtain a repaired service network label.

A tag determining module 430, configured to determine repaired global interaction state information from the current global service data according to a repaired service network tag, and determine a repaired service demand tag corresponding to the current global service data according to the repaired global interaction state information and the current global network state information.

A data integration module 440, configured to perform state information matching on the repaired global interaction state information and the current global network state information based on the repaired service network tag to obtain a local matching result, update the current global network state information and the to-be-processed global interaction state information according to a first service requirement comparison result of the local matching result and the local service state information, and return to the service network repairing step until a first cooperative processing index is met; and performing global service data integration based on the repaired service demand label and the repaired service network label meeting the first cooperative processing index to obtain target global service data corresponding to the service data processing result uploaded by the edge service terminal.

Based on the same inventive concept, a big data cooperative processing system based on cloud computing and edge computing is also provided, and the following is further described.

A big data coprocessing system based on cloud computing and edge computing comprises a cloud server and an edge service terminal which are communicated with each other;

the edge service terminal is used for: uploading a service data processing result to the cloud server;

the cloud server is configured to:

In addition, fig. 5 also shows a schematic operation state diagram of a big data cooperative processing system based on cloud computing and edge computing, for example, the cloud server 100 issues the labor division instructions Q1-Q3 to the edge service terminals D1-D3, receives the service data processing results a 1-A3 uploaded by the edge service terminals D1-D3 based on the labor division instructions Q1-Q3, and integrates the service data processing results a 1-A3 into target global service data a0 for subsequent use.

In summary, according to the above scheme, the network state level and the interaction state level can be analyzed for different service data processing results to obtain the local network state information and the local interaction state information, so that the current global network state information and the global interaction state information to be processed can be updated, and the service network repair can be repeatedly performed, so that the cooperativity between different edge service terminals can be continuously adjusted and optimized, and thus, the high correlation of the service level can exist between different service data processing results as much as possible, so that the global service data can be integrated to obtain the target global service data. The integrity of the target global service data obtained by integration can be ensured through iterative repair, and the loss of part of service data due to the influence of different network states and different interaction states in the integration process is avoided, so that the data processing can meet the actual service requirements.

The skilled person can unambiguously determine some preset, reference, predetermined, set and target technical features/terms, such as threshold values, threshold intervals, threshold ranges, etc., from the above disclosure. For some technical characteristic terms which are not explained, the technical solution can be clearly and completely implemented by those skilled in the art by reasonably and unambiguously deriving the technical solution based on the logical relations in the previous and following paragraphs. Prefixes of unexplained technical feature terms, such as "first", "second", "previous", "next", "current", "history", "latest", "best", "target", "specified", and "real-time", etc., can be unambiguously derived and determined from the context. Suffixes of technical feature terms not to be explained, such as "list", "feature", "sequence", "set", "matrix", "unit", "element", "track", and "list", etc., can also be derived and determined unambiguously from the foregoing and the following.

The foregoing disclosure of embodiments of the present invention will be apparent to those skilled in the art. It should be understood that the process of deriving and analyzing technical terms, which are not explained, by those skilled in the art based on the above disclosure is based on the contents described in the present application, and thus the above contents are not an inventive judgment of the overall scheme.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.

Also, this application uses specific terminology to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various portions of this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of at least one embodiment of the present application may be combined as appropriate.

In addition, those skilled in the art will recognize that the various aspects of the application may be illustrated and described in terms of several patentable species or contexts, including any new and useful combination of procedures, machines, articles, or materials, or any new and useful modifications thereof. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as a "unit", "component", or "system". Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in at least one computer readable medium.

A computer readable signal medium may comprise a propagated data signal with computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, and the like, or any suitable combination. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code on a computer readable signal medium may be propagated over any suitable medium, including radio, electrical cable, fiber optic cable, RF, or the like, or any combination of the preceding.

Computer program code required for the execution of aspects of the present application may be written in any combination of one or more programming languages, including object oriented programming, such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, or similar conventional programming languages, such as the "C" programming language, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, dynamic programming languages, such as Python, Ruby, and Groovy, or other programming languages. The programming code may execute entirely on the user's computer, as a stand-alone software package, partly on the user's computer, partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Additionally, the order of the process elements and sequences described herein, the use of numerical letters, or other designations are not intended to limit the order of the processes and methods unless otherwise indicated in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it should be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware means, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

It should also be appreciated that in the foregoing description of embodiments of the present application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of at least one embodiment of the invention. However, this method of disclosure is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

Claims

1. A big data coprocessing method based on cloud computing and edge computing is characterized by comprising the following steps:

2. The method according to claim 1, wherein the step of updating the current global network state information and the global interaction state information to be processed according to the comparison result of the local matching result and the first service requirement of the local service state information, and returning to the service network repair until a first co-processing index is satisfied comprises:

determining to obtain a first service requirement comparison result based on the local matching result and the local service state information, and updating the current global service data based on the repaired service requirement label to obtain updated global service data when the first service requirement comparison result does not meet a first co-processing index;

determining updated global network state information from the updated global service data to obtain updated current global network state information, taking the repaired global interaction state information as updated to-be-processed global interaction state information, and returning to the step of performing service network repair based on the current global network state information, the to-be-processed global interaction state information and the local service state information to obtain a repaired service network label until a first cooperative processing index is met.

3. The method according to claim 2, wherein the service data processing result uploaded by the edge service terminal is a user interaction result corresponding to the delayed service data, and the local matching result includes local matching network state information and local matching interaction state information; determining to obtain a first service requirement comparison result based on the local matching result and the local service state information, including:

determining to obtain a service requirement comparison result corresponding to the network state information based on the local matching network state information and the local network state information, and determining to obtain a service requirement comparison result corresponding to the interaction state information based on the local matching interaction state information and the local interaction state information;

and obtaining a first service requirement comparison result of the local matching result and the local service state information based on a service requirement comparison result corresponding to the interaction state information and a service requirement comparison result corresponding to the network state information.

4. The method according to claim 2, wherein the service data processing result uploaded by the edge service terminal is a user interaction result corresponding to non-delayed service data, and the local matching result includes local matching network state information and local matching interaction state information; determining to obtain a first service requirement comparison result based on the local matching result and the local service state information, including:

acquiring a non-delay service demand label corresponding to a user interaction result corresponding to user operation service data of a user interaction result corresponding to the non-delay service data, wherein the non-delay service demand label is a service demand label used when the user interaction result corresponding to the user operation service data is integrated with global service data;

determining a service requirement comparison result of the non-delay service requirement label and the repaired service requirement label, and obtaining a first service requirement comparison result of the local matching result and the local service status information based on the service requirement comparison result corresponding to the interaction status information, the service requirement comparison result corresponding to the network status information and the service requirement comparison result.

5. The method according to any one of claims 1 to 4, wherein the determining the local service state information of the service data processing result uploaded by the edge service terminal comprises:

performing behavior recognition on the service data based on the service data processing result uploaded by the edge service terminal to obtain a user behavior recognition result of the service data;

performing behavior classification on the service data in the user behavior identification result of the service data to obtain a user behavior classification result of the service data corresponding to the service data processing result uploaded by the edge service terminal; and determining local network state information and local interaction state information from the user behavior classification result of the service data.

6. The method according to any one of claims 1 to 5, wherein the service data processing result uploaded by the edge service terminal is a user interaction result corresponding to the delayed service data; the acquiring of the corresponding global interaction state information to be processed based on the service data processing result uploaded by the edge service terminal includes:

acquiring service interaction delay information aiming at a specified service flow, matching the current global network state information to network state information corresponding to a local edge network according to the service interaction delay information aiming at the specified service flow to obtain matched network state information, and performing service network restoration based on the matched network state information and the local network state information to obtain a delayed service network tag;

determining global interaction state information to be processed corresponding to a user interaction result corresponding to the delay service data from a user behavior identification result corresponding to a global service operation record of the current global service data according to the delay service network tag;

the acquiring service interaction delay information for the specified service process includes:

acquiring interaction delay information of each preset service, and determining current service interaction delay information from the interaction delay information of each preset service;

matching the current global network state information to network state information corresponding to a local edge network according to the current service interaction delay information to obtain matching network state information corresponding to the service interaction delay information, and performing service network restoration based on the matching network state information corresponding to the service interaction delay information and the local network state information to obtain a service network label corresponding to the service interaction delay information;

determining global interaction state information corresponding to the service interaction delay information from a user behavior identification result corresponding to the global service operation record of the current global service data according to the service network label corresponding to the service interaction delay information;

performing service network repair aiming at the service interaction delay information based on the global interaction state information, the current global network state information and the local service state information corresponding to the service interaction delay information to obtain a repaired service network label aiming at the service interaction delay information;

determining repaired global interaction state information for the service interaction delay information from a user behavior identification result corresponding to the global service operation record according to the repaired service network tag for the service interaction delay information;

determining a repaired service demand label corresponding to the current global service data and aiming at the service interaction delay information according to the repaired global interaction state information aiming at the service interaction delay information and the current global network state information;

performing state information matching on the repaired global interaction state information and the current global network state information for the service interaction delay information based on the repaired service network tag for the service interaction delay information to obtain a local matching result for the service interaction delay information, updating the global interaction state information and the current global network state information corresponding to the service interaction delay information according to the local matching result for the service interaction delay information and a second service requirement comparison result of the local service state information, returning to the step of repairing the service network for the service interaction delay information until a second cooperative processing index is met, and obtaining a current second service requirement comparison result corresponding to the current service interaction delay information;

traversing each preset service interaction delay information to obtain each current second service requirement comparison result corresponding to each preset service interaction delay information, comparing each current second service requirement comparison result to obtain a service requirement comparison result corresponding to the specified service flow, and taking the preset service interaction delay information corresponding to the service requirement comparison result corresponding to the specified service flow as the service interaction delay information aiming at the specified service flow;

wherein, the updating global interaction state information and current global network state information corresponding to the service interaction delay information according to the local matching result for the service interaction delay information and the second service requirement comparison result of the local service state information, and returning to the step of service network repair for the service interaction delay information until a second cooperative processing index is satisfied includes:

when the second service requirement comparison result does not meet a second cooperative processing index, updating the current global service data based on the repaired service requirement label for the service interaction delay information to obtain updated global service data for the service interaction delay information;

determining updated global network state information for service interaction delay information from the updated global service data for service interaction delay information, taking the updated global network state information for service interaction delay information as current global network state information, and using the repaired global interaction state information for the service interaction delay information as global interaction state information corresponding to the service interaction delay information, and returning to the step of performing service network repair for the service interaction delay information based on the global interaction state information corresponding to the service interaction delay information, the current global network state information and the local service state information to obtain a repaired service network tag for the service interaction delay information until a second cooperative processing index is met.

7. The method of claim 6, wherein performing service network repair based on the matching network state information and the local network state information to obtain a delayed service network tag comprises:

acquiring a first preconfigured service network tag corresponding to a user interaction result corresponding to the delayed service data, and matching the current global network state information to network state information corresponding to a local edge network based on the first preconfigured service network tag to obtain matched network state information corresponding to the first delayed tag;

determining to obtain a third service requirement comparison result based on the matched network state information corresponding to the first delay label and the local network state information;

adjusting the first preconfigured service network tag according to the third service requirement comparison result, and returning to the step of matching the current global network state information to the network state information corresponding to the local edge network based on the first preconfigured service network tag to obtain the matched network state information corresponding to the first delay tag until the third service requirement comparison result meets a third cooperative processing index;

and taking the first pre-configured service network label meeting the third cooperative processing index as the delay service network label.

8. The method according to claim 1, wherein the service data processing result uploaded by the edge service terminal is a user interaction result corresponding to non-delayed service data; the acquiring of the corresponding global interaction state information to be processed based on the service data processing result uploaded by the edge service terminal includes:

acquiring interaction state information of global service operation corresponding to a user interaction result corresponding to user operation service data of a user interaction result corresponding to the non-delay service data, wherein the interaction state information of the global service operation is global interaction state information in the global service data corresponding to the user interaction result corresponding to the user operation service data;

taking the interaction state information of the global service operation as the global interaction state information to be processed;

the service data processing result uploaded by the edge service terminal is a user interaction result corresponding to the delay service data; performing service network repair based on the current global network state information, the global interaction state information to be processed, and the local service state information to obtain a repaired service network tag, including:

acquiring a second preconfigured service network tag corresponding to a user interaction result corresponding to the delayed service data, and matching the current global network state information and the to-be-processed global interaction state information to network state information corresponding to a local edge network based on the second preconfigured service network tag to obtain a local matching result for the delayed service data;

determining to obtain a fourth service requirement comparison result based on the local matching result aiming at the delayed service data and the local service state information;

adjusting the second preconfigured service network tag according to the fourth service requirement comparison result, and returning to the step of matching the current global network state information and the to-be-processed global interaction state information to network state information corresponding to a local edge network based on the second preconfigured service network tag to obtain a local matching result for delayed service data until the fourth service requirement comparison result meets a fourth cooperative processing index;

and taking the second pre-configured service network label meeting the fourth cooperative processing index as a repaired service network label corresponding to the user interaction result corresponding to the delay service data.

9. A cloud server comprising a processing engine, a network module, and a memory; the processing engine and the memory communicate through the network module, the processing engine reading a computer program from the memory and operating to perform the method of any of claims 1-8.

10. A computer-readable signal medium, on which a computer program is stored which, when executed, implements the method of any one of claims 1-8.