CN117857555B - Data sharing method and system based on edge calculation - Google Patents
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Abstract
The invention provides a data sharing method and a system based on edge calculation, which belong to the technical field of data processing and specifically comprise the following steps: the method comprises the steps of acquiring the operation place of the user equipment in real time, determining a matching server of the user equipment based on the operation place of the user equipment and the place of a common computing server, determining the use frequency of the operation place according to access use data in different time periods of the operation place in preset time when the matching server cannot meet requirements according to delay processing data of the user equipment, determining whether an adjacent edge computing server of the operation place needs to perform data sharing processing according to the sharing processing difficulty of the access processing data of the user equipment and the delay processing data, improving the processing efficiency of edge computing, and reducing the use of unnecessary storage space.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a data sharing method and system based on edge calculation.
Background
Through the large-scale application of the edge computing server, the processing efficiency of the access data requirement of the user is greatly improved, and the processing time is saved, but at the same time, the matched edge computing servers of the user are changed due to the change of the physical positions of different users, so that the technical problem to be solved is how to realize the data sharing and synchronous management of different edge computing servers, and further improve the processing efficiency.
In order to solve the above technical problems, in the prior art, in the invention CN202210068365.2, a dual migration method of tasks in an edge computing environment, the user equipment is in communication connection with the nearest server in consideration of interrupt state migration and continuous state migration of the user, so as to shorten the transmission path between the server and the user, and preload the tasks in the nearest server, but the following technical problems exist:
The movement situation of the user equipment in a certain time period often has a certain degree of regularity, and for a moving place with a short retention time or a temporary nature, if the data of the user equipment is updated in the edge computing server at this time, the efficiency of the data migration processing of the edge computing server is reduced, and meanwhile, the storage space of the edge computing server is wasted to a certain degree.
Aiming at the technical problems, the invention provides a data sharing method and system based on edge calculation.
Disclosure of Invention
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
According to one aspect of the present invention, there is provided a data sharing method based on edge computation.
The data sharing method based on edge calculation is characterized by comprising the following steps:
s1, access use data of user equipment in different time periods in preset time are obtained, and processing frequency of different edge computing servers in different time periods is determined according to the access use data;
S2, determining comprehensive processing frequency of different edge computing servers and common computing servers in the edge computing servers through processing frequency in different time periods in preset time, and carrying out real-time data sharing processing on access processing data of the user equipment in the common computing servers;
s3, acquiring the operation place of the user equipment in real time, determining a matching server of the user equipment based on the operation place of the user equipment and the place of a common computing server, and entering the next step when the matching server cannot meet the requirement according to the delay processing data of the user equipment;
S4, determining the frequency of use of the operation place according to the access use data in different time periods of the operation place in preset time, and determining whether an adjacent edge computing server of the operation place needs to perform data sharing processing according to the sharing processing difficulty of the access processing data of the user equipment and the delay processing data.
The invention has the beneficial effects that:
1. The method and the device have the advantages that the processing frequency of different edge computing servers in different time periods is determined according to the access and use data, so that the accurate mining of the busy processing condition of the different edge computing servers in different time periods is realized, the screening of the edge computing servers with busy processing in different time periods is realized, and the foundation is laid for the screening of the common computing servers.
2. The common computing servers in the edge computing servers are determined through the processing frequency in different time periods in the preset time, the processing busyness in a single certain time period is considered, meanwhile, screening of the edge servers with more use in the preset time is realized through combining the processing frequency in a plurality of time periods in the preset time, and differentiated sharing processing of data of the user equipment is realized.
3. Determining whether the adjacent edge computing server of the operation place needs to perform data sharing processing based on the sharing processing difficulty of the using frequency and the access processing data and the delay processing data, considering the frequent use condition of the user equipment of the operation place, and simultaneously realizing the evaluation of the necessity of the data sharing processing of the edge computing server from multiple angles by comprehensively considering the sharing processing difficulty and the access delay condition, and reducing the waste of storage resources of the edge computing server caused by unnecessary data sharing processing on the basis of ensuring the reliability of the access processing of the user.
The further technical scheme is that the value of the time period is 1 day, 3 days or 1 week, and the time period is specifically determined according to the data volume used by the access of the user equipment, wherein the larger the data volume used by the access of the user equipment is, the shorter the time period is.
The further technical scheme is that the access use data comprises access use times, access use service types of different access use times, access use data amounts of different service types and access time duration.
The further technical scheme is that the operation place of the user equipment is determined according to the IP address of the access use data of the user equipment or the positioning information of the user equipment.
The further technical scheme is that the determining of the matching server of the user equipment is performed based on the operation location of the user equipment and the location of the common computing server, and specifically includes:
And determining a common computing server closest to the operation place of the user equipment according to the operation place of the user equipment and the place of the common computing server, and taking the common computing server closest to the operation place of the user equipment as a matching server of the user equipment.
The further technical scheme is that the delay processing data comprises access processing delay and access processing times with processing time length not meeting the requirement.
The further technical scheme is that determining that the matching server cannot meet the requirement according to the delay processing data of the user equipment specifically includes:
and when the average value of the access processing delays of the user equipment does not meet the requirement or the access processing times of which the processing time length does not meet the requirement is larger than the preset abnormal processing times, determining that the matching server cannot meet the requirement.
In a second aspect, the present invention provides a computer system comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor executes the data sharing method based on edge calculation when running the computer program.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention as set forth hereinafter.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings;
FIG. 1 is a flow chart of a method of data sharing based on edge computation;
FIG. 2 is a flow chart of a method of processing a determination of frequency;
FIG. 3 is a flow chart of a method of determination of a common computing server in an edge computing server;
FIG. 4 is a flow chart of a method of determination of a common computing server in another possible edge computing server;
FIG. 5 is a flow chart of a method of determination of usage frequency of an operation site;
FIG. 6 is a block diagram of a computer system.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present disclosure.
In order to improve the efficiency of access processing of the user equipment, in the prior art, the data sharing processing is often implemented through the setting of the edge computing servers adjacent to the user, but because the position of the user equipment in one day is often not fixed, a plurality of adjacent edge computing servers may exist, and how to determine the edge computing server which needs to perform the sharing processing of the access operation data of the user by using the access usage data of the user equipment becomes a technical problem to be solved.
In order to solve the technical problems, the following technical scheme is adopted:
Firstly, determining processing frequency of different edge computing servers in different time periods by using access use data, specifically determining the processing frequency in different time periods by using access use time length in different time periods, and determining the access use time length and the processing frequency in a mapping mode;
then determining the comprehensive processing frequency of different edge computing servers and the common computing servers in the edge computing servers through the processing frequency in different time periods in preset time, specifically determining the comprehensive processing frequency of the different edge computing servers by utilizing the average value of the processing frequency in different time periods in the preset time, taking the edge computing server with larger comprehensive processing frequency as the common computing server, and carrying out real-time data sharing processing on access processing data of user equipment in the common computing server;
The method comprises the steps of obtaining the operation place of user equipment in real time according to the IP address of the user equipment, determining a matching server of the user equipment based on the operation place of the user equipment and the place of a common computing server, and entering the next step when the average delay of access processing of the user equipment is difficult to meet the requirement and the matching server is determined to not meet the requirement;
Finally, determining the use frequency of the operation place according to the access use data in different time periods of the operation place in preset time, particularly determining the use frequency of the operation place by the average value of the access use time periods in different time periods, determining whether the adjacent edge computing server of the operation place needs to perform data sharing processing or not according to the use frequency, the sharing processing difficulty of the access processing data of the user equipment and the delay processing data, and determining that the adjacent edge computing server of the operation place does not need to perform data sharing processing when the use frequency of the operation place is smaller than a preset value of the frequency;
When the using frequency of the operation place is not smaller than a frequency preset value, determining access processing delay and access processing times of which the processing time length does not meet requirements of a matching calculation server of the operation place based on the delay processing data, determining delay evaluation quantity of the matching calculation server of the operation place through the access processing delay and the access processing times of which the processing time length does not meet requirements, and determining that an adjacent edge calculation server of the operation place does not need to carry out data sharing processing when the delay evaluation quantity meets requirements;
and when the delay evaluation quantity does not meet the requirement, determining a matched synchronous processing difficulty set value of the operation place based on the use frequency and the delay evaluation quantity, determining a comprehensive processing difficulty set value according to the synchronous processing difficulty set value matched with the use frequency and the delay evaluation quantity, and determining whether an adjacent edge computing server of the operation place needs to perform data sharing processing or not based on the comprehensive processing difficulty set value and the sharing processing difficulty.
In order to solve the above-mentioned problems, according to an aspect of the present invention, as shown in fig. 1, there is provided a data sharing method based on edge computing, which is characterized by specifically including:
s1, access use data of user equipment in different time periods in preset time are obtained, and processing frequency of different edge computing servers in different time periods is determined according to the access use data;
specifically, the value of the time period is 1 day, 3 days or 1 week, and specifically, the time period is determined according to the data volume used by the access of the user equipment, wherein the larger the data volume used by the access of the user equipment is, the shorter the time period is.
Further, the access usage data includes access usage times, service types of access usage of different access usage times, access usage data amounts of different service types and access duration.
In one possible embodiment, as shown in fig. 2, the method for determining the processing frequency in the step S1 is as follows:
s11, determining the access use times of the user equipment in the time period according to the access use data in the time period, and determining the processing frequency of the edge computing server under different access use times according to the access use data volume and the access duration of the different access use times;
s12, determining the processing frequency of the edge computing server in the time period by using the access use times of the user equipment in the time period and the processing frequency of the edge computing server in different access use times.
In another possible embodiment, the method for determining the processing frequency in the step S1 is:
Determining the accumulated access time length of the user equipment in the time period according to the access use data in the time period, and determining the processing frequency of the edge computing server in the time period through the accumulated access time length when the accumulated access time length of the user equipment in the time period is longer than the preset access time length;
when the accumulated access duration of the user equipment in the time period is not greater than a preset access duration, determining the access use times of the user equipment in the time period according to the access use data in the time period, and when the access use times of the access time period which is greater than a set duration is greater than a preset time threshold, determining the processing frequency of the edge computing server in the time period according to the access use times of the access time period which is greater than the set duration;
When the access time length is longer than the access use frequency of the set time length and is not longer than a preset frequency threshold, determining the processing frequency of the edge computing server under different access use times according to the access use data quantity of different access use times and the access time length, and when the processing frequency is longer than the access use frequency of the preset frequency and is longer than the preset frequency threshold, determining the processing frequency of the edge computing server in the time period according to the access use frequency of the processing frequency and the preset frequency;
And when the access frequency is larger than the preset frequency and the access frequency is not larger than the preset frequency threshold, determining the processing frequency of the edge computing server in the time period by utilizing the access frequency of the user equipment in the time period and the processing frequency of the edge computing server under different access frequency.
In one possible embodiment, the method for determining the processing frequency in the step S1 is as follows:
S11, determining the accumulated access time length of the user equipment in the time period according to the access use data in the time period, judging whether the accumulated access time length of the user equipment in the time period is larger than a preset access time length, if so, determining the processing frequency of the edge computing server in the time period through the accumulated access time length, and if not, entering the next step;
S12, determining the access use times of the user equipment in the time period based on the access use data in the time period, judging whether the access use times are smaller than preset use times, if so, entering the next step, and if not, entering the step S14;
S13, determining the processing frequency of the edge computing server under different access times according to the access data amount and the access time length of the different access times, judging whether the access times with the processing frequency being greater than the preset frequency exist or not, if so, entering the next step, and if not, determining the processing frequency of the edge computing server in the time period according to the average value of the processing frequency of the edge computing server under the different access times;
S14, determining the processing frequency of the edge computing server in the time period by using the access use times of the user equipment in the time period and the processing frequency of the edge computing server in different access use times.
S2, determining comprehensive processing frequency of different edge computing servers and common computing servers in the edge computing servers through processing frequency in different time periods in preset time, and carrying out real-time data sharing processing on access processing data of the user equipment in the common computing servers;
In one possible embodiment, as shown in fig. 3, the method for determining the common computing server in the edge computing server in the step S2 is as follows:
s21, dividing the time period into a busy time period and an idle time period through the processing busyness in different time periods in preset time;
s22, determining the comprehensive processing busyness of the edge computing server in the busy time period and the comprehensive processing busyness of the idle time period in the preset time according to the number of the busy time periods and the processing busyness in the preset time and the number of the idle time periods and the processing busyness respectively;
S23, determining the comprehensive processing frequency of the edge computing servers according to the comprehensive processing busyness of the busy time period and the comprehensive processing busyness of the idle time period, and determining the common computing servers in the edge computing servers based on the comprehensive processing busyness.
Further, when the integrated processing busyness of the edge server is within a preset busyness interval, the edge computing server is determined to be a common computing server.
In another possible embodiment, as shown in fig. 4, the method for determining the common computing server in the edge computing server in the step S2 is as follows:
dividing the time period into a busy time period and an idle time period through the processing busyness in different time periods in preset time, and determining that the edge computing server is a common computing server when the number of the busy time periods of the edge server in the preset time is greater than the preset period number;
When the number of busy time periods of the edge server in the preset time is not more than the preset period number, and when the sum of the processing busyness of the edge server in different time periods in the preset time is in a preset processing busyness interval, determining that the edge computing server does not belong to a common computing server;
When the sum of the processing busyness of the edge server in different time periods in the preset time is not in a preset processing busyness interval, determining the comprehensive processing busyness of the edge computing server in the busy time period in the preset time according to the number of the busy time periods in the preset time and the processing busyness, and when the comprehensive processing busyness of the edge computing server in the busy time period in the preset time is larger than the preset period busyness, determining that the edge computing server belongs to a common computing server;
And when the comprehensive processing busyness of the edge computing server in the busy time period in the preset time is not greater than the preset period busyness, determining the comprehensive processing busyness of the edge computing server in the idle time period in the preset time based on the number of idle time periods and the processing busyness, determining the comprehensive processing frequency of the edge computing server according to the comprehensive processing busyness of the busy time period and the comprehensive processing busyness of the idle time period, and determining the common computing servers in the edge computing server based on the comprehensive processing busyness.
In another possible embodiment, the method for determining the common computing server in the edge computing server in the step S2 is as follows:
S21, dividing the time period into a busy time period and an idle time period through the processing busyness in different time periods in preset time, judging whether the number of the idle time periods of the edge server in the preset time is larger than the preset period number, if so, entering the next step, and if not, entering the step S23;
S22, judging whether the sum of the processing busyness of the edge server in different time periods within preset time is within a preset processing busyness interval, if so, determining that the edge computing server does not belong to a common computing server, and if not, entering the next step;
S23, determining the comprehensive processing busyness of the edge computing server in the busyness time period in the preset time according to the number of the busyness time periods in the preset time and the processing busyness, judging whether the comprehensive processing busyness of the edge computing server in the busyness time period in the preset time is larger than the busyness of the preset period, if so, determining that the edge computing server belongs to a common computing server, and if not, entering the next step;
S24, determining the comprehensive processing busyness of the edge computing servers in the idle time period in preset time based on the number of the idle time periods and the processing busyness, determining the comprehensive processing frequency of the edge computing servers according to the comprehensive processing busyness of the busy time period and the comprehensive processing busyness of the idle time period, and determining the common computing servers in the edge computing servers based on the comprehensive processing busyness.
S3, acquiring the operation place of the user equipment in real time, determining a matching server of the user equipment based on the operation place of the user equipment and the place of a common computing server, and entering the next step when the matching server cannot meet the requirement according to the delay processing data of the user equipment;
Further, the operation location of the user equipment is determined according to the IP address of the access usage data of the user equipment or the positioning information of the user equipment.
Specifically, the determining of the matching server of the user equipment based on the operation location of the user equipment and the location of the common computing server specifically includes:
And determining a common computing server closest to the operation place of the user equipment according to the operation place of the user equipment and the place of the common computing server, and taking the common computing server closest to the operation place of the user equipment as a matching server of the user equipment.
It should be noted that the delay processing data includes access processing delay and access processing times of which processing duration does not meet the requirement.
It can be understood that determining that the matching server cannot meet the requirement according to the delay processing data of the user equipment specifically includes:
and when the average value of the access processing delays of the user equipment does not meet the requirement or the access processing times of which the processing time length does not meet the requirement is larger than the preset abnormal processing times, determining that the matching server cannot meet the requirement.
S4, determining the frequency of use of the operation place according to the access use data in different time periods of the operation place in preset time, and determining whether an adjacent edge computing server of the operation place needs to perform data sharing processing according to the sharing processing difficulty of the access processing data of the user equipment and the delay processing data.
In one possible embodiment, as shown in fig. 5, the method for determining the usage frequency of the operation site in the step S4 is:
Determining access use duration and access use times in different time periods according to access use data in different time periods of the operation place in preset time, and determining the use frequency of the operation place in different time periods in preset time according to the access use duration and the access use times;
The frequency of use of the operation site is determined based on the frequency of use of the operation site for different time periods within a preset time.
Further, the sharing processing difficulty is determined according to the data amount of the access processing data of the user equipment and the interval time of different access processing data, wherein the larger the data amount of the access processing data is, the longer the interval time of different access processing data is, and the greater the sharing processing difficulty is.
In one possible embodiment, the determining in the step S4 whether the adjacent edge computing server of the operation location needs to perform the data sharing process specifically includes:
Determining access processing delay and access processing times with processing time not meeting requirements of the matching calculation server of the operation place based on the delay processing data, and determining delay evaluation quantity of the matching calculation server of the operation place through the access processing delay and the access processing times with processing time not meeting requirements;
And determining the comprehensive evaluation of the operation place according to the delay evaluation, the frequency of use and the difficulty of sharing processing, and determining whether the adjacent edge computing server of the operation place needs to perform data sharing processing or not according to the comprehensive evaluation.
In another possible embodiment, the determining in the step S4 whether the adjacent edge computing server of the operation location needs to perform the data sharing process specifically includes:
when the using frequency of the operation place is smaller than a frequency preset value, determining that the adjacent edge computing server of the operation place does not need to carry out data sharing processing;
When the using frequency of the operation place is not smaller than a frequency preset value, determining access processing delay and access processing times of which the processing time length does not meet requirements of a matching calculation server of the operation place based on the delay processing data, determining delay evaluation quantity of the matching calculation server of the operation place through the access processing delay and the access processing times of which the processing time length does not meet requirements, and determining that an adjacent edge calculation server of the operation place does not need to carry out data sharing processing when the delay evaluation quantity meets requirements;
and when the delay evaluation quantity does not meet the requirement, determining a matched synchronous processing difficulty set value of the operation place based on the use frequency and the delay evaluation quantity, determining a comprehensive processing difficulty set value according to the synchronous processing difficulty set value matched with the use frequency and the delay evaluation quantity, and determining whether an adjacent edge computing server of the operation place needs to perform data sharing processing or not based on the comprehensive processing difficulty set value and the sharing processing difficulty.
In another aspect, as shown in FIG. 6, the present invention provides a computer system comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor executes the data sharing method based on edge calculation when running the computer program.
Through the above embodiments, the present invention has the following beneficial effects:
1. The method and the device have the advantages that the processing frequency of different edge computing servers in different time periods is determined according to the access and use data, so that the accurate mining of the busy processing condition of the different edge computing servers in different time periods is realized, the screening of the edge computing servers with busy processing in different time periods is realized, and the foundation is laid for the screening of the common computing servers.
2. The common computing servers in the edge computing servers are determined through the processing frequency in different time periods in the preset time, the processing busyness in a single certain time period is considered, meanwhile, screening of the edge servers with more use in the preset time is realized through combining the processing frequency in a plurality of time periods in the preset time, and differentiated sharing processing of data of the user equipment is realized.
3. Determining whether the adjacent edge computing server of the operation place needs to perform data sharing processing based on the sharing processing difficulty of the using frequency and the access processing data and the delay processing data, considering the frequent use condition of the user equipment of the operation place, and simultaneously realizing the evaluation of the necessity of the data sharing processing of the edge computing server from multiple angles by comprehensively considering the sharing processing difficulty and the access delay condition, and reducing the waste of storage resources of the edge computing server caused by unnecessary data sharing processing on the basis of ensuring the reliability of the access processing of the user.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, devices, non-volatile computer storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing is merely one or more embodiments of the present description and is not intended to limit the present description. Various modifications and alterations to one or more embodiments of this description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of one or more embodiments of the present description, is intended to be included within the scope of the claims of the present description.
Claims (7)
1. The data sharing method based on edge calculation is characterized by comprising the following steps:
Acquiring access use data of user equipment in different time periods within preset time, and determining processing frequency of different edge computing servers in different time periods according to the access use data;
Determining comprehensive processing frequency of different edge computing servers and common computing servers in the edge computing servers through processing frequency in different time periods in preset time, and carrying out real-time data sharing processing on access processing data of the user equipment in the common computing servers;
Acquiring the operation place of the user equipment in real time, determining a matching server of the user equipment based on the operation place of the user equipment and the place of a common computing server, and entering the next step when determining that the matching server cannot meet the requirement according to the delay processing data of the user equipment;
Determining the frequency of use of the operation place according to the access use data in different time periods of the operation place in preset time, and determining whether an adjacent edge computing server of the operation place needs to perform data sharing processing according to the sharing processing difficulty of the access processing data of the user equipment and the delay processing data;
The method for determining the processing frequency comprises the following steps:
Determining the accumulated access time length of the user equipment in the time period according to the access use data in the time period, and determining the processing frequency of the edge computing server in the time period through the accumulated access time length when the accumulated access time length of the user equipment in the time period is longer than the preset access time length;
when the accumulated access duration of the user equipment in the time period is not greater than a preset access duration, determining the access use times of the user equipment in the time period according to the access use data in the time period, and when the access use times of the access time period which is greater than a set duration is greater than a preset time threshold, determining the processing frequency of the edge computing server in the time period according to the access use times of the access time period which is greater than the set duration;
When the access time length is longer than the access use frequency of the set time length and is not longer than a preset frequency threshold, determining the processing frequency of the edge computing server under different access use times according to the access use data quantity of different access use times and the access time length, and when the processing frequency is longer than the access use frequency of the preset frequency and is longer than the preset frequency threshold, determining the processing frequency of the edge computing server in the time period according to the access use frequency of the processing frequency and the preset frequency;
And when the access frequency is larger than the preset frequency and the access frequency is not larger than the preset frequency threshold, determining the processing frequency of the edge computing server in the time period by utilizing the access frequency of the user equipment in the time period and the processing frequency of the edge computing server under different access frequency.
2. The edge computing-based data sharing method according to claim 1, wherein the time period has a value of 1 day, 3 days or 1 week, and specifically is determined according to the data amount used by the access of the user equipment, and the larger the data amount used by the access of the user equipment is, the shorter the time period is.
3. The edge computation-based data sharing method of claim 1, wherein the access usage data includes access usage times, access usage service types of different access usage times, access usage data amounts of different service types, and access durations.
4. The edge computation-based data sharing method of claim 1, wherein the operation place of the user equipment is determined according to an IP address of access usage data of the user equipment or location information of the user equipment.
5. The edge computing-based data sharing method of claim 1, wherein the determining of the matching server of the user device is performed based on the operation location of the user device and the location of a common computing server, specifically comprising:
And determining a common computing server closest to the operation place of the user equipment according to the operation place of the user equipment and the place of the common computing server, and taking the common computing server closest to the operation place of the user equipment as a matching server of the user equipment.
6. The edge computing-based data sharing method as claimed in claim 1, wherein determining whether the data sharing process is required by the edge computing server in the vicinity of the operation site comprises:
Determining access processing delay and access processing times with processing time not meeting requirements of the matching calculation server of the operation place based on the delay processing data, and determining delay evaluation quantity of the matching calculation server of the operation place through the access processing delay and the access processing times with processing time not meeting requirements;
And determining the comprehensive evaluation of the operation place according to the delay evaluation, the frequency of use and the difficulty of sharing processing, and determining whether the adjacent edge computing server of the operation place needs to perform data sharing processing or not according to the comprehensive evaluation.
7. A computer system, comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor, when executing the computer program, performs a data sharing method based on edge computation as claimed in any one of claims 1-6.
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