CN114500555A - Mobile micro application data processing method and system based on edge computing and cloud computing - Google Patents

Mobile micro application data processing method and system based on edge computing and cloud computing Download PDF

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CN114500555A
CN114500555A CN202210146202.1A CN202210146202A CN114500555A CN 114500555 A CN114500555 A CN 114500555A CN 202210146202 A CN202210146202 A CN 202210146202A CN 114500555 A CN114500555 A CN 114500555A
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mobile
platform
application data
mobile micro
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CN114500555B (en
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黄姗姗
蒋厚明
王俊
陈星明
胡昊伟
司佳
李欣禹
郭胜勇
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Nari Information and Communication Technology Co
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004—Server selection for load balancing
    • H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004—Server selection for load balancing
    • H04L67/101—Server selection for load balancing based on network conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004—Server selection for load balancing
    • H04L67/1014—Server selection for load balancing based on the content of a request
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes

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Abstract

The invention discloses a mobile micro application data processing method and a mobile micro application data processing system based on edge computing and cloud computing, wherein the mobile micro application data processing method combining edge computing and cloud computing is adopted, and a data distribution index Y is calculated based on the data volume required to be processed by a terminal, the memory of a platform server, the performance of the terminal, the data security level and the network environment, and when Y is less than 0.65, all mobile micro application data required to be processed are distributed to a mobile terminal; when Y is larger than 0.90, distributing all mobile micro-application data needing to be processed to a platform data center; when the Y value is in a closed interval [0.65,0.90], distributing a certain proportion of mobile micro-application data to a platform data center, and distributing the rest to the mobile terminal; the method can ensure the response speed and the calculation performance, and the safety of the private data and the important data to the maximum extent.

Description

Mobile micro application data processing method and system based on edge computing and cloud computing
Technical Field
The invention relates to a mobile micro application data processing method and system based on edge computing and cloud computing, and belongs to the technical field of terminal data processing.
Background
The cloud computing mode is that terminal data are uploaded to a platform data center through a network, application data are processed in a centralized mode by utilizing computing and storage capacity of the platform data center, and then processing results are returned to the terminal according to needs. The mode has high requirements on the efficiency and the network environment of the platform data center, and has no special limit on the performance of the terminal.
The edge calculation is a novel calculation model for calculating at a data acquisition terminal, the terminal has the processing capacity of executing calculation and data analysis, part or all of data processing tasks executed by an original platform are migrated to a network edge terminal, and the terminal outputs the processing result to a server as required; the server does not need process data as long as the results.
In the cloud computing mode, terminal data are uploaded to the platform data center through a network, and application data are processed in a centralized mode by utilizing computing and storing capacity of the platform data center. As the number of terminals increases, the generated data is also increased rapidly, and the disadvantages of the centralized processing mode in the following aspects 3 are gradually revealed, and the speed requirement is responded: the data are uploaded to a central server, and the consumed time for returning to the terminal after operation processing is increased, so that the response time is increased, and the response speed is deteriorated; pressure of the platform server: a large amount of data is concentrated on the platform for processing, so that the pressure of the server is increased, and the processing speed, efficiency and energy consumption of the server are influenced; data security and privacy: and when part of data is uploaded to the platform data center, the user privacy is leaked, and the data security and privacy are not ensured.
The edge computing completely migrates the data processing task of the platform to the mobile terminal, and solves the problems of poor real-time performance, low data security and high energy consumption caused by unified data processing of the platform. However, all data processing tasks are sunk to the terminal, the computing performance of data cannot be guaranteed, the data sharing performance is reduced, and the uncertainty is greatly increased in the mobile terminal and the network environment.
Disclosure of Invention
The invention aims to provide a mobile micro application data processing method and system based on edge computing and cloud computing, which solve the problems of response speed, computing performance, data security, data sharing and uncertainty caused by data processing of cloud computing or edge computing in a mode of combining cloud computing and edge computing.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
the invention provides a mobile micro application data processing method based on edge computing and cloud computing, which comprises the following steps:
distributing mobile micro application data to be processed to a platform data center and a mobile terminal in a certain mode; the mobile micro application is a micro application installed on the mobile terminal;
respectively processing mobile micro application data distributed by the platform data center and the mobile terminal;
and summarizing and storing the processed data.
Further, the allocating the mobile micro application data to be processed to the platform data center and the mobile terminal in a certain manner includes:
calculating a distribution index Y based on mobile micro application data to be processed, a platform server memory, terminal performance, data security level and network environment;
distributing the mobile micro-application data to be processed to the platform data center and the mobile terminal according to the value of the distribution index Y as follows:
when Y is less than 0.65, distributing all mobile micro-application data needing to be processed to the mobile terminal;
when Y is larger than 0.90, distributing all mobile micro-application data needing to be processed to a platform data center;
when the Y value is in the closed interval [0.65,0.90]]Then, the calculated ratio α is:
Figure BDA0003508351440000021
distributing the mobile micro application data with the proportion of alpha to a platform data center, and distributing the rest to a mobile terminal;
wherein, Ymin＝0.57，Ymax＝1.00。
Further, the calculation distribution index Y is as follows:
Y＝0.035*X1+0.250*X2+0.180*X3+0.012*X4+0.010*X5，
wherein, X1Expressed as:
Figure BDA0003508351440000022
X1Tis mobile micro-application data, X, that needs to be processed1Taking the value after quantization;
X2the memory of the platform server is represented as the proportion of the residual memory of the platform server of the platform data center to the total memory;
X3the terminal performance is expressed as the proportion of the used memory of the mobile terminal to the total memory;
X4the value range is [1,10 ] for data security level]The higher the data security level, X4The smaller the value is;
X5is a network environment, represented as:
Figure BDA0003508351440000031
X5Tis the actual upstream bandwidth.
Further, the collecting and storing the processed data includes:
the global shared data are collected to a platform data center and are managed by the platform data center in a unified mode;
and summarizing local shared data among the mobile micro applications to the mobile terminal, storing the data in a portal APP of the mobile terminal, and locally updating in real time.
The invention also provides a mobile micro application data processing system based on edge computing and cloud computing, which comprises a platform data center, a mobile terminal and a service system;
deploying a mobile micro application and a portal APP on the mobile terminal;
the mobile terminal is used for distributing mobile micro application data to be processed to the platform data center and the mobile terminal per se in a certain mode; and processing the mobile micro-application data;
the portal AP is used for summarizing local shared data among the mobile micro applications; the mobile micro application data distribution system is used for uploading mobile micro application data to be distributed to the platform data center;
the platform data center is used for processing mobile micro application data distributed by the mobile terminal;
and the business system provides background service for the mobile micro application.
Further, the mobile terminal is specifically configured to,
calculating a data distribution index Y based on mobile micro application data to be processed, a platform server memory, terminal performance, a data security level and a network environment:
Y＝0.035*X1+0.250*X2+0.180*X3+0.012*X4+0.010*X5，
wherein, X1Expressed as:
Figure BDA0003508351440000032
X1Tis mobile micro-application data, X, that needs to be processed1Taking the value after quantization;
X2is the platform server memory, represented as the platform data center platform server remaining memoryThe proportion of the total memory;
X3the terminal performance is expressed as the proportion of the used memory of the mobile terminal to the total memory;
X4the value range is [1,10 ] for data security level]The higher the data security level, X4The smaller the value is;
X5is a network environment, represented as:
Figure BDA0003508351440000041
X5Tis the actual uplink bandwidth;
distributing the mobile micro-application data to be processed to the platform data center and the mobile terminal according to the value of Y as follows:
when Y is less than 0.65, distributing all mobile micro-application data needing to be processed to the mobile terminal;
when Y is larger than 0.90, distributing all mobile micro-application data needing to be processed to a platform data center;
when the Y value is in the closed interval [0.65,0.90]]Then, the calculated ratio α is:
Figure BDA0003508351440000042
distributing the mobile micro application data with the proportion of alpha to a platform data center, and distributing the rest to a mobile terminal;
wherein, Ymin＝0.57，Ymax＝1.00。
Further, the portal AP uploads the mobile micro application data to be distributed to the platform data center in any one of the following manners:
offline, online, and a combination of offline and online modes.
Further, the system also comprises a mobile application platform;
the mobile application platform is particularly useful for,
receiving data uploaded by the mobile micro application through the portal APP, and forwarding the data to a corresponding service system;
and receiving data returned by the service system, forwarding the data to the portal APP and then synchronizing the data to the corresponding mobile micro application.
Further, the mobile application platform is further operable to,
the user identities and permissions of all mobile micro applications are managed.
The invention achieves the following beneficial effects:
the invention introduces a cooperative strategy on the basis of edge calculation, and realizes data sharing among a plurality of micro applications; in addition, the data volume processed by the platform data center and the terminal is distributed according to the terminal data volume, the platform server memory, the terminal performance, the data security level and the network environment according to the result of the quantitative function settlement, so that the response speed and the calculation performance, and the security of the private data and the important data are ensured to the maximum extent; the terminal data uploading adopts three modes of off-line, on-line, off-line and on-line combination, and the problem of uncertainty of a terminal network environment is solved.
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Fig. 1 is a flowchart of a mobile micro application data processing method based on edge computing and cloud computing according to the present invention;
fig. 2 is a flowchart of data flow of the micro application according to an embodiment of the present invention.
Detailed Description
The invention is further described below. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The invention provides a mobile micro application data processing method based on edge computing and cloud computing, wherein a platform data center and a mobile terminal are processed in a mode of combining cloud computing and edge computing in cooperation; the data volume processed by the platform data center and the mobile terminal is distributed according to the calculation result of the quinary linear function; and uploading the terminal data to a platform data center in an off-line mode, an on-line mode or an off-line and on-line combined mode according to the network state.
The invention provides a mobile micro application data processing method based on edge computing and cloud computing, which comprises the following steps:
distributing mobile micro application data to be processed to a platform data center and a mobile terminal in a certain mode;
respectively processing micro application data needing to be processed of the platform data center and the mobile terminal;
and summarizing the processed data.
An embodiment of the present invention provides a mobile micro application data processing method based on edge computing and cloud computing, and referring to fig. 1, the specific implementation process is as follows:
the method for processing terminal data by combining cloud computing and edge collaborative computing needs to perform data distribution first, and the embodiment proposes to perform distribution according to a computation result of a quantization function, which is specifically as follows:
the five influencing factors of the terminal data volume, the platform server memory, the terminal performance, the data security level and the network environment are quantized into an independent variable X ═ X1,X2,X3,X4,X5]And the relation between the variable and the dependent variable Y is expressed by a quinary linear function:
Y＝0.035*X1+0.250*X2+0.180*X3+0.012*X4+0.010*X5，
wherein, X1Representing the data volume of the mobile terminal and the mobile micro application data which needs to be processed currently; typically 1K-10M in size, regardless of the size of the micro-application itself; to X1The quantization process is carried out and the quantization process is carried out,
Figure BDA0003508351440000061
wherein X1TIs the actual amount of data in units of K.
X2The memory of the platform server is represented, and is defined as the proportion of the residual memory to the total memory, and the value range is (0, 1).
X3The terminal performance is represented, and is defined as the ratio of the used memory of the terminal to the total memory, and the value range is (0, 1).
X4To representData security level, value range [1,10 ]]The more private the data, the higher the security level, X4The smaller the value, X4The privacy level is highest when the value is 1.
X5Representing the network environment, mainly upstream and downstream bandwidth; the two are usually asymmetric, generally, the downlink bandwidth is greater than the uplink bandwidth, and the uplink bandwidth is mainly concerned by the data uploaded by the terminal; in connection with practical applications, it is generally:
1M(128K/s)/5M(640K/s)/10M(1280K/s)/20M(2560K/s)；
the bandwidth of the actual network environment is therefore quantized as:
Figure BDA0003508351440000062
wherein X5TIs the actual uplink bandwidth in units of M.
Y represents a dependent variable used for measuring the data distribution proportion, when the data volume of the terminal is less than 5K, the residual memory of the platform is very little, the residual memory of the terminal is very much, the data privacy is strongest, and the uplink bandwidth of the terminal is less than 2M, the value of Y is the minimum Ymin＝0.57。
When the data volume of the terminal is more than 10000K, the residual memory of the platform is sufficient, the residual memory of the terminal is very little, the data privacy is the weakest, and the uplink bandwidth of the terminal is more than 15M, the value of Y is the maximum Ymax＝1.00。
In combination with the actual situation, the maximum value and the minimum value of Y cannot be obtained, so that the value range of Y is an open interval (0.57, 1.00).
Determining whether the data should be processed at the terminal or the platform data center according to the value of Y,
when Y is less than 0.65, the terminal data adopts a cooperative edge calculation strategy, namely, the data is processed at the terminal, and the processing result is output to the server according to the requirement;
when Y is larger than 0.90, processing the terminal data by adopting cloud computing, and sending the data to be processed to the platform data center for processing the data;
when the Y value is in a closed interval [0.65,0.90], the proportion of the data volume of the terminal data which needs to be uploaded to the platform data center for processing is alpha, and the calculation formula is as follows:
Figure BDA0003508351440000071
and uploading the alpha of the total data to be processed to a platform data center for processing, and processing the rest data in the mobile terminal.
After the data processing is finished, collecting the global shared data to a platform data center, and uniformly managing by a platform; and local shared data among the micro applications is summarized to the mobile terminal, stored in the portal APP and locally updated in real time.
It should be noted that, the local shared data that flows among the micro applications is uniformly stored in the portal APP of the mobile terminal, and is uniformly managed by the portal APP, and locally updated in real time, instead of being uniformly stored in the platform data center, and new data is uploaded when the data is updated and read from the platform when the data is used. Data flow between business trip micro-applications, attendance micro-applications, reimbursement micro-applications, for example: and when the staff goes on a business trip, the attendance micro application allows the staff to make an outwork if the application is applied and approved by leadership, and the reimbursement micro application processes the reimbursement order according to the business trip condition of the staff.
The local shared data refers to data shared among the micro applications, and for example, data shared among the three micro applications includes a date of business trip, a place, an attendance status, and travel information for reimbursement.
The portal APP is similar to the Paibao APP, the micro application is an embedded mobile application which realizes each specific function in the portal APP, and the portal APP and the mobile micro application run on a mobile terminal, such as a mobile phone and a pad.
The data flow of the micro application management system is shown in fig. 2 in combination with the background service system corresponding to each mobile micro application. In fig. 2, a platform data center, that is, a mobile application platform data center, implements cloud computing data processing, and stores global shared data related to the business process.
The mobile application platform is communicated with each service system, and the portal APP is the specific implementation of the mobile application platform on the mobile terminal and is a uniform entrance of the micro application.
The business system provides background service for the micro applications, the micro applications are realized in a mobile mode of the background business system, and recorded data among the micro applications can flow through the portal APP.
And the portal APP and the micro application jointly realize cooperative edge calculation, the portal APP needs to be uploaded to the data processed by the platform data center, and an off-line mode, an on-line mode or an off-line and on-line combined mode is adopted according to the network state.
When the data of the mobile terminal is uploaded to the platform data center, the terminal is online and the network state is good, and the data is uploaded in real time in an online mode; the terminal is on line but the network state is not good enough, important data are uploaded preferentially, and the rest data are uploaded after the network state is recovered to be normal; the terminal can only adopt an off-line mode when not on-line, namely, data is firstly cached in the mobile terminal, and the network state is recovered to be normal and then uploaded.
In consideration of the problems of data security of the business system, cloud computing development trend and the like, the business system and the micro application are not directly communicated, but are transferred through the mobile application platform.
Data needing interaction with a background service system is uploaded to a mobile application platform through a portal APP, and then is forwarded to the corresponding service system through the mobile application platform, and data returned by the service system is forwarded to the portal APP through the mobile application platform and then is synchronized to the corresponding micro application.
All micro applications are online, authorized and offline on a mobile application platform, so that unified management is realized; according to the user identity and the authority, the authority control can be realized on the micro application layer, namely, the user with the authority can check or use the micro application in the portal APP.
The user identity and the authority are processed in a centralized mode through the portal App and the background management thereof, and authority control is achieved on a micro application level instead of inside the micro application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (9)

1. A mobile micro application data processing method based on edge computing and cloud computing is characterized by comprising the following steps:
distributing mobile micro application data to be processed to a platform data center and a mobile terminal in a certain mode; the mobile micro application is a micro application installed on the mobile terminal;
respectively processing mobile micro application data distributed by a platform data center and a mobile terminal;
and summarizing and storing the processed data.
2. The method for processing the mobile micro application data based on the edge computing and the cloud computing as claimed in claim 1, wherein the step of distributing the mobile micro application data to be processed to the platform data center and the mobile terminal in a certain manner comprises:
calculating a distribution index Y based on mobile micro application data to be processed, a platform server memory, terminal performance, data security level and network environment;
distributing the mobile micro-application data to be processed to the platform data center and the mobile terminal according to the value of the distribution index Y as follows:
when Y is less than 0.65, distributing all mobile micro-application data needing to be processed to the mobile terminal;
when Y is larger than 0.90, distributing all mobile micro-application data needing to be processed to a platform data center;
when the Y value is in the closed interval [0.65,0.90]]Then, the calculated ratio α is:
Figure FDA0003508351430000011
distributing the mobile micro application data with the proportion of alpha to a platform data center, and distributing the rest to a mobile terminal;
wherein, Ymin＝0.57，Ymax＝1.00。
3. The method for processing the mobile micro application data based on the edge computing and the cloud computing as claimed in claim 2, wherein the computing allocation index Y is as follows:
Y＝0.035*X1+0.250*X2+0.180*X3+0.012*X4+0.010*X5，
wherein, X1Expressed as:
Figure FDA0003508351430000012
X1Tis mobile micro-application data, X, that needs to be processed1Taking the value after quantization;
X2the memory of the platform server is represented as the proportion of the residual memory of the platform server of the platform data center to the total memory;
X3the terminal performance is expressed as the proportion of the used memory of the mobile terminal to the total memory;
X4the value range is [1,10 ] for data security level]The higher the data security level, X4The smaller the value is;
X5is a network environment, represented as:
Figure FDA0003508351430000021
X5Tis the actual upstream bandwidth.
4. The method for processing the mobile micro application data based on the edge computing and the cloud computing according to claim 1, wherein the step of summarizing and storing the processed data comprises:
summarizing the global shared data to a platform data center, and uniformly managing by the platform data center;
and summarizing local shared data among the mobile micro applications to the mobile terminal, storing the data in a portal APP of the mobile terminal, and locally updating in real time.
5. A mobile micro application data processing system based on edge computing and cloud computing is characterized by comprising a platform data center, a mobile terminal and a service system;
deploying a mobile micro application and a portal APP on the mobile terminal;
the mobile terminal is used for distributing mobile micro application data to be processed to the platform data center and the mobile terminal per se in a certain mode; and processing the mobile micro-application data;
the portal AP is used for summarizing local shared data among the mobile micro applications; the mobile micro application data distribution system is used for uploading mobile micro application data to be distributed to the platform data center;
the platform data center is used for processing mobile micro application data distributed by the mobile terminal;
and the business system provides background service for the mobile micro application.
6. The mobile micro-application data processing system based on edge computing and cloud computing according to claim 5, wherein the mobile terminal is specifically configured to,
calculating a data distribution index Y based on mobile micro application data to be processed, a platform server memory, terminal performance, a data security level and a network environment:
Y＝0.035*X1+0.250*X2+0.180*X3+0.012*X4+0.010*X5，
wherein, X1Expressed as:
Figure FDA0003508351430000031
X1Tis mobile micro application data, X, that needs to be processed1Taking the value after quantization;
X2the memory of the platform server is represented as the proportion of the residual memory of the platform server of the platform data center to the total memory;
X3the terminal performance is expressed as the proportion of the used memory of the mobile terminal to the total memory;
X4the value range is [1,10 ] for data security level]The higher the data security level, X4The smaller the value is;
X5is a network environment, represented as:
Figure FDA0003508351430000032
X5Tis the actual uplink bandwidth;
distributing the mobile micro-application data to be processed to the platform data center and the mobile terminal according to the value of Y as follows:
when Y is less than 0.65, distributing all mobile micro-application data needing to be processed to the mobile terminal;
when Y is larger than 0.90, distributing all mobile micro-application data needing to be processed to a platform data center;
when the Y value is in the closed interval [0.65,0.90]]Then, the calculated ratio α is:
Figure FDA0003508351430000033
distributing the mobile micro application data with the proportion of alpha to a platform data center, and distributing the rest to a mobile terminal;
wherein, Ymin＝0.57，Ymax＝1.00。
7. The mobile micro application data processing system based on edge computing and cloud computing of claim 5, wherein the portal AP uploads the mobile micro application data to be distributed to the platform data center in any one of the following manners:
offline, online, and a combination of offline and online modes.
8. The mobile micro-application data processing system based on edge computing and cloud computing as claimed in claim 5, further comprising a mobile application platform;
the mobile application platform is particularly useful for,
receiving data uploaded by the mobile micro application through the portal APP, and forwarding the data to a corresponding service system;
and receiving data returned by the service system, forwarding the data to the portal APP and then synchronizing the data to the corresponding mobile micro application.
9. The mobile micro application data processing system based on edge computing and cloud computing of claim 8, wherein the mobile application platform is further configured to,
the user identities and permissions of all mobile micro-applications are managed.
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