File sharing management analysis method and system

Abstract

The invention provides a file sharing management analysis method and system, and belongs to the technical field of file sharing, and the method specifically comprises the steps: carrying out the determination of an alternative monitoring application system of a target shared file based on the stable condition of communication transmission of a data communication link between different storage servers, on the basis of historical update data of the target shared file in different external network monitoring targets, the monitoring processing frequency of the target shared file is determined, and multiple groups of alternative monitoring schemes are generated based on alternative monitoring application systems of different target shared files, determining an optimal monitoring scheme in different alternative monitoring schemes through monitoring processing frequencies of different target shared files and corresponding alternative monitoring application systems, and obtaining update data of an external network monitoring target through the alternative monitoring application systems corresponding to different target shared files in the optimal monitoring scheme; and the updated data is forwarded to the matched application system of the target shared file in real time, so that the real-time performance of file sharing processing is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of file sharing, and in particular relates to a file sharing management and analysis method and system. Background Art

[0002] In the daily work of grassroots users of power companies, data statistics and aggregation, internal and external network file transfer and other tasks are frequent and time-sensitive. Traditional methods are mostly carried out through intranet emails, instant messaging and other means. The whole process has risks such as difficult collection, easy errors and insecurity.

[0003] In order to solve the above technical problems, in the specific existing technical solutions, for example, in CN201310074175.2 "A file sharing system, device and method", a link is generated according to the storage location of the file and its related description information in the server so that any user terminal can download or view the file and its related description information, thereby achieving the purpose of good communication and sharing of files. However, the above technical solutions have the following technical problems: In grassroots enterprises, due to the large number of application systems used, there is a lack of technical solutions for real-time data sharing between different application systems and between internal and external networks. At the same time, different application systems often run on different servers. How to achieve data sharing management between different servers has become a technical problem that needs to be solved urgently.

[0004] In view of the above technical problems, the present invention provides a file sharing management and analysis method and system. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In order to solve the above technical problems, the present invention provides the following technical solutions to achieve the purpose of the present invention: According to one aspect of the present invention, a file sharing management and analysis method is provided.

[0006] A file sharing management and analysis method, specifically comprising: S1 determines the intranet application system corresponding to the target shared file and uses it as the matching application system of the target shared file. When the data monitoring demand coefficient of the target shared file in the external network is determined to be not within the preset range based on the historical update data of the target shared file in different external network monitoring targets and the number of matching application systems, proceeds to the next step; S2 determines the storage servers corresponding to different application systems of the target shared file, and determines the candidate monitoring application system of the target shared file based on the stability of the communication transmission of the data communication links between the different storage servers; S3 determines the monitoring processing frequency of the target shared file based on the historical update data of the target shared file in different external network monitoring targets; S4 generates multiple groups of alternative monitoring schemes based on alternative monitoring application systems of different target shared files, determines the best monitoring scheme among different alternative monitoring schemes through the monitoring processing frequencies of different target shared files and the corresponding alternative monitoring application systems, obtains updated data of external network monitoring targets through the alternative monitoring application systems corresponding to different target shared files in the best monitoring scheme, and forwards the updated data to the matching application system of the target shared file in real time.

[0007] The beneficial effects of the present invention are: 1. Determine whether the data monitoring demand coefficient of the target shared file in the external network is within the preset range based on the historical update data of the target shared file in different external network monitoring targets and the number of matching application systems. This takes into account the differences in data monitoring needs caused by differences in update frequency and update data volume in the external network monitoring targets, as well as the differences in real-time data update needs caused by differences in the number of matching application systems. This achieves the screening of target shared files with greater data monitoring needs and lays the foundation for generating differentiated external network monitoring strategies.

[0008] 2. The updated data of the external network monitoring target is obtained through the alternative monitoring application system corresponding to the different target shared files in the optimal monitoring plan, so as to realize the monitoring of the update status of the target shared files in the external network by using the alternative monitoring application system, realize the real-time synchronization of internal and external network data, avoid the technical problem of insufficient data reliability caused by data isolation, and also reduce the difficulty of monitoring and processing of target shared files.

[0009] A further technical solution is that the application system of the intranet corresponding to the target shared file is determined according to the application system using the target shared file in the intranet.

[0010] A further technical solution is that the external network monitoring targets include instant messaging software, mailboxes, and application systems in the external network that use the target shared files.

[0011] A further technical solution is that the historical update data includes the historical update times and the update data amounts of different historical update times.

[0012] A further technical solution is that the method for determining the optimal monitoring scheme is: Determine the best monitoring solution among different alternative monitoring solutions through different monitoring processing frequencies of target shared files and corresponding alternative monitoring application systems Using the alternative monitoring application systems corresponding to different target shared files in the alternative monitoring scheme, determine the target shared files monitored and managed by different alternative monitoring application systems in the alternative monitoring scheme; Determine the monitoring and processing reliability coefficients of different alternative monitoring application systems according to the number of target shared files monitored and managed by different alternative monitoring application systems and the monitoring and processing frequencies of different target shared files, and determine the comprehensive monitoring reliability coefficient of the alternative monitoring scheme according to the monitoring and processing reliability coefficients of different alternative monitoring application systems; The monitoring management difficulty of the alternative monitoring scheme is determined by the number of alternative monitoring application systems in the alternative monitoring scheme, and the scheme adaptation coefficient of the alternative monitoring scheme is determined based on the monitoring management difficulty of the alternative monitoring scheme and the comprehensive monitoring reliability coefficient, and the scheme adaptation coefficient is used to determine the optimal monitoring scheme among the alternative monitoring schemes.

[0013] A further technical solution is that the optimal monitoring solution is an alternative monitoring solution with the largest solution adaptation coefficient.

[0014] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: the processor executes the above-mentioned file sharing management and analysis method when running the computer program.

[0015] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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.

[0018] Figure 1 is a flow chart of a file sharing management analysis method; Figure 2 It is a flow chart of a method for determining a data monitoring requirement coefficient of a target shared file in an external network; Figure 3 The present invention is a flowchart of a method for determining an alternative monitoring application system for a target shared file. DETAILED DESCRIPTION

[0019] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0020] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0021] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 According to one aspect of the present invention, a file sharing management and analysis method is provided, which specifically includes: S1 determines the intranet application system corresponding to the target shared file and uses it as the matching application system of the target shared file. When the data monitoring demand coefficient of the target shared file in the external network is determined to be not within the preset range based on the historical update data of the target shared file in different external network monitoring targets and the number of matching application systems, proceeds to the next step; S2 determines the storage servers corresponding to different application systems of the target shared file, and determines the candidate monitoring application system of the target shared file based on the stability of the communication transmission of the data communication links between the different storage servers; S3 determines the monitoring processing frequency of the target shared file based on the historical update data of the target shared file in different external network monitoring targets; S4 generates multiple groups of alternative monitoring schemes based on alternative monitoring application systems of different target shared files, determines the best monitoring scheme among different alternative monitoring schemes through the monitoring processing frequencies of different target shared files and the corresponding alternative monitoring application systems, obtains updated data of external network monitoring targets through the alternative monitoring application systems corresponding to different target shared files in the best monitoring scheme, and forwards the updated data to the matching application system of the target shared file in real time.

[0022] Furthermore, the intranet application system corresponding to the target shared file is determined according to the application system using the target shared file in the intranet.

[0023] Specifically, the external network monitoring targets include instant messaging software, mailboxes, and application systems in the external network that use the target shared files.

[0024] It can be understood that the historical update data includes the historical update times and the update data amounts of different historical update times.

[0025] It should be noted that if Figure 2 As shown, the method for determining the data monitoring requirement coefficient of the target shared file in the external network is: Determine the usage demand coefficient of the target shared file according to the number of application systems matching the target shared file; Based on the historical update data of the target shared file in different external network monitoring targets, determine the historical update times of the target shared file in different external network monitoring targets, and determine the external network data change probability of the target shared file through the historical update times of the target shared file in different external network monitoring targets; The data monitoring requirement coefficient of the target shared file in the external network is determined based on the external network data change probability and the usage requirement coefficient.

[0026] Furthermore, the data monitoring requirement coefficient of the target shared file in the external network has a value range of 0 to 1. When the data monitoring requirement coefficient of the target shared file in the external network is within a preset range, the updated data of the target shared file in the external network is determined through a unified monitoring platform set up in the external network, and the updated data is forwarded to different matching application systems.

[0027] It should also be noted that the method for determining the data monitoring requirement coefficient of the target shared file in the external network is: S11 obtains the number of matching application systems of the target shared file; S12 determines the usage demand coefficient of the target shared file based on the number of application systems that match the target shared file, and determines the number of historical updates of the target shared file in different external network monitoring targets; S13 determines the external network data change probability of the target shared file according to the historical update times of the target shared file in different external network monitoring targets, and determines the data monitoring demand coefficient of the target shared file in the external network based on the external network data change probability and the usage demand coefficient.

[0028] Optionally, the above step S11 includes the following contents: Obtain the number of matching application systems of the target shared file, and determine whether the number of matching application systems of the target shared file is greater than the preset number of application systems. If so, determine that the data monitoring demand coefficient of the target shared file in the external network is within the preset range. If not, proceed to step S12.

[0029] Optionally, the above step S12 includes the following contents: S121 determines the usage demand coefficient of the target shared file based on the number of application systems that match the target shared file, and determines whether the usage demand coefficient is greater than a preset usage demand coefficient. If so, proceed to the next step; if not, proceed to step S13; S122 determines the total number of historical updates of the target shared file based on the historical update data of the target shared file in different external network monitoring targets, and judges whether the total number of historical updates of the target shared file is greater than a preset number threshold, if so, determines that the data monitoring demand coefficient of the target shared file in the external network is within a preset interval, if not, proceeds to the next step; S123 determines the historical update times of the target shared file in different external network monitoring targets, and judges whether the number of external network monitoring targets whose historical update times are greater than the preset update times threshold is greater than the preset target number. If so, it determines that the data monitoring demand coefficient of the target shared file in the external network is within the preset range. If not, enter step S13.

[0030] Further, such as Figure 3 As shown, the method for determining the candidate monitoring application system for the target shared file is: Taking a storage server of a specific matching application system as a specific server, obtaining historical communication transmission data of a data communication link between the specific server and other matching application systems; Determine the data transmission delay data between other matching application systems according to the historical communication transmission data, and determine the data transmission reliability coefficient between other matching application systems according to the average delay amount of data transmission; The data transmission reliability of the specific server is determined based on the average value of the data transmission reliability coefficients between the specific server and other matching application systems, and whether the matching application system corresponding to the specific server is an alternative monitoring application system is determined through the data transmission reliability.

[0031] Further, when the data transmission reliability of the matching application system corresponding to the specific server is within a preset reliability interval, the matching application system corresponding to the specific server is determined as a candidate monitoring application system.

[0032] It should be noted that the reliability coefficient of data transmission between other matching application systems is determined according to the average delay of data transmission, specifically including: The preset reliability coefficient corresponding to the average delay is used as the data transmission reliability coefficient between other matching application systems.

[0033] It can also be understood that the method for determining the candidate monitoring application system for the target shared file is: S21 takes a storage server of a specific matching application system as a specific server, obtains historical communication transmission data of a data communication link between the specific server and other matching application systems, and determines data transmission delay data between the specific server and other matching application systems according to the historical communication transmission data; Optionally, the above step S21 includes the following contents: S211 takes the storage server of a specific matching application system as a specific server, obtains historical communication transmission data of the data communication link between the specific server and other matching application systems, determines data transmission delay data between the specific server and other matching application systems according to the historical communication transmission data, and determines whether there are other matching application systems whose average delay does not meet the requirements according to the average delay of data transmission, if yes, proceeds to the next step, if not, proceeds to step S24; S212 determines whether the number of other matching application systems whose average delay does not meet the requirements is greater than the preset number of application systems. If so, the matching application system corresponding to the specific server is determined to be an alternative monitoring application system. If not, enter step S22.

[0034] S22 determines the reliability coefficient of data transmission between other matching application systems based on the average delay of data transmission between other matching application systems and the number of data transmissions with a delay greater than a preset delay threshold; Optionally, the above step S22 includes the following contents: S221: other matching application systems whose average delay does not meet the requirements are taken as delayed communication application systems, and the abnormal delay coefficients are screened by the number of delayed communication application systems and the average delays of different delayed communication application coefficients to determine whether the abnormal delay coefficients meet the requirements. If so, the matching application system corresponding to the specific server is determined as an alternative monitoring application system. If not, proceed to the next step. S222 determines the data transmission reliability coefficient between other matching application systems based on the average delay of data transmission between other matching application systems and the number of data transmissions with a delay greater than a preset delay threshold, and determines whether there are other matching application systems whose data transmission reliability coefficients do not meet the requirements. If so, it is determined that the matching application system corresponding to the specific server does not belong to the alternative monitoring application system. If not, proceed to step S23.

[0035] S23 determines the data transmission reliability of the specific server based on the average value of the data transmission reliability coefficients between the specific server and other matching application systems, and determines whether the matching application system corresponding to the specific server is an alternative monitoring application system through the data transmission reliability.

[0036] Furthermore, the method for determining the monitoring processing frequency of the target shared file is: Determine the historical update times of the target shared file in different external network monitoring targets based on the historical update data of the target shared file in different external network monitoring targets, and determine the probability of external network data change of the target shared file based on the historical update times; Determine the intervals between different adjacent historical update times in different external network monitoring targets based on the historical update times, and determine the probability of data change in different external network monitoring targets in combination with the update data amounts at different historical update times; The comprehensive change probability is determined by the data change probability in different external network monitoring targets and the external network data change probability, and the monitoring processing frequency of the target shared file is determined by using the comprehensive change probability.

[0037] Specifically, determining the monitoring and processing frequency of the target shared file by using the comprehensive change probability specifically includes: The preset monitoring and processing frequency corresponding to the target shared file is determined based on the comprehensive change probability, and the monitoring and processing frequency of the target shared file is determined by using the preset monitoring and processing frequency.

[0038] It should also be noted that the method for determining the monitoring processing frequency of the target shared file is: S31 determines the historical update times of the target shared file in different external network monitoring targets based on the historical update data of the target shared file in different external network monitoring targets; S32 determines the intervals between different adjacent historical update times in different external network monitoring targets based on the historical update times, and determines the data change probability in different external network monitoring targets in combination with the update data amounts at different historical update times; S33 determines the probability of external network data change of the target shared file based on the number of historical updates, determines the comprehensive change probability by using the data change probability in different external network monitoring targets and the external network data change probability, and uses the comprehensive change probability to determine the monitoring and processing frequency of the target shared file.

[0039] Optionally, step S31 includes the following contents: The historical update data of the target shared file in different external network monitoring targets are used to determine the historical update times of the target shared file in different external network monitoring targets, and it is judged whether the historical update times are greater than the preset update times threshold. If so, the monitoring and processing frequency of the target shared file is determined based on the preset frequency. If not, proceed to step S32.

[0040] Furthermore, the method for determining the optimal monitoring scheme is: Determine the best monitoring solution among different alternative monitoring solutions through different monitoring processing frequencies of target shared files and corresponding alternative monitoring application systems Using the alternative monitoring application systems corresponding to different target shared files in the alternative monitoring scheme, determine the target shared files monitored and managed by different alternative monitoring application systems in the alternative monitoring scheme; Determine the monitoring and processing reliability coefficients of different alternative monitoring application systems according to the number of target shared files monitored and managed by different alternative monitoring application systems and the monitoring and processing frequencies of different target shared files, and determine the comprehensive monitoring reliability coefficient of the alternative monitoring scheme according to the monitoring and processing reliability coefficients of different alternative monitoring application systems; The monitoring management difficulty of the alternative monitoring scheme is determined by the number of alternative monitoring application systems in the alternative monitoring scheme, and the scheme adaptation coefficient of the alternative monitoring scheme is determined based on the monitoring management difficulty of the alternative monitoring scheme and the comprehensive monitoring reliability coefficient, and the scheme adaptation coefficient is used to determine the optimal monitoring scheme among the alternative monitoring schemes.

[0041] It can be understood that the optimal monitoring scheme is the alternative monitoring scheme with the largest scheme adaptation coefficient.

[0042] Optionally, the above step S32 includes the following contents: S321 determines whether there is an external network monitoring target whose historical update times are greater than the preset number limit value. If so, proceed to the next step; if not, proceed to step S33; S322 determines whether the maximum value of the historical update times of the external network monitoring target meets the requirement, if so, proceeds to the next step, if not, determines the monitoring processing frequency of the target shared file based on the preset frequency; S323 determines whether the number of external network monitoring targets whose historical update times are greater than the preset number limit value is within the preset number range. If so, enter step S33. If not, determine the monitoring and processing frequency of the target shared file based on the preset frequency.

[0043] Optionally, the above step S33 includes the following contents: S331 determines the interval lengths between different adjacent historical update times in different external network monitoring targets based on the historical update times, and determines the data change probability in different external network monitoring targets in combination with the update data amounts at different historical update times, and determines whether there is an external network monitoring target whose data change probability does not meet the requirements. If so, determines the monitoring processing frequency of the target shared file based on the preset frequency, and if not, proceeds to the next step; S332 determines the probability of external network data change of the target shared file based on the number of historical updates, determines the comprehensive change probability by measuring the data change probability in different external network monitoring targets and the external network data change probability, and uses the comprehensive change probability to determine the monitoring and processing frequency of the target shared file.

[0044] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: the processor executes the above-mentioned file sharing management and analysis method when running the computer program.

[0045] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0046] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0047] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A file sharing management and analysis method, characterized in that: Specifically include: Determine the intranet application system corresponding to the target shared file, and use it as the matching application system for the target shared file, and when it is determined that the data monitoring demand coefficient of the target shared file in the external network is not within the preset range based on the historical update data of the target shared file in different external network monitoring targets and the number of matching application systems, proceed to the next step; Determine the storage servers corresponding to the target shared file in different application systems, and determine the candidate monitoring application system for the target shared file based on the stability of the communication transmission of the data communication links between the different storage servers; Determining the monitoring processing frequency of the target shared file based on the historical update data of the target shared file in different external network monitoring targets; Based on the alternative monitoring application system of different target shared files, multiple groups of alternative monitoring schemes are generated. The best monitoring scheme among different alternative monitoring schemes is determined through the monitoring processing frequencies of different target shared files and the corresponding alternative monitoring application systems. The updated data of the external network monitoring targets are obtained through the alternative monitoring application systems corresponding to different target shared files in the best monitoring scheme, and the updated data is forwarded to the matching application system of the target shared file in real time.

2. The file sharing management and analysis method according to claim 1, characterized in that: The intranet application system corresponding to the target shared file is determined according to the application system in the intranet that uses the target shared file.

3. The file sharing management and analysis method according to claim 1, characterized in that: The external network monitoring targets include instant messaging software, mailboxes, and application systems in the external network that use the target shared files.

4. The file sharing management and analysis method according to claim 1, characterized in that: The historical update data includes the historical update times and update data amounts of different historical update times.

5. The file sharing management and analysis method according to claim 1, characterized in that: The method for determining the data monitoring requirement coefficient of the target shared file in the external network is: Determine the usage demand coefficient of the target shared file according to the number of application systems matching the target shared file; Based on the historical update data of the target shared file in different external network monitoring targets, determine the historical update times of the target shared file in different external network monitoring targets, and determine the external network data change probability of the target shared file through the historical update times of the target shared file in different external network monitoring targets; The data monitoring requirement coefficient of the target shared file in the external network is determined based on the external network data change probability and the usage requirement coefficient.

6. The file sharing management and analysis method according to claim 5, characterized in that: The data monitoring requirement coefficient of the target shared file in the external network ranges from 0 to 1. When the data monitoring requirement coefficient of the target shared file in the external network is within a preset interval, the updated data of the target shared file in the external network is determined through a unified monitoring platform set up in the external network, and the updated data is forwarded to different matching application systems.

7. The file sharing management and analysis method according to claim 1, characterized in that: The method for determining the candidate monitoring application system for the target shared file is: Taking a storage server of a specific matching application system as a specific server, obtaining historical communication transmission data of a data communication link between the specific server and other matching application systems; Determine the data transmission delay data between other matching application systems according to the historical communication transmission data, and determine the data transmission reliability coefficient between other matching application systems according to the average delay amount of data transmission; The data transmission reliability of the specific server is determined based on the average value of the data transmission reliability coefficients between the specific server and other matching application systems, and whether the matching application system corresponding to the specific server is an alternative monitoring application system is determined through the data transmission reliability.

8. The file sharing management and analysis method according to claim 7, characterized in that: When the data transmission reliability of the matching application system corresponding to the specific server is within a preset reliability interval, the matching application system corresponding to the specific server is determined as a candidate monitoring application system.

9. The file sharing management and analysis method according to claim 7, characterized in that: The reliability coefficient of data transmission between other matching application systems is determined based on the average delay of data transmission, including: The preset reliability coefficient corresponding to the average delay is used as the data transmission reliability coefficient between other matching application systems.

10. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes a file sharing management and analysis method of claims 1-9 when running the computer program.

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