A file sharing management analysis method and system

Abstract

The application provides a file sharing management analysis method and system, and belongs to the technical field of file sharing, and specifically comprises the following steps: determining the target sharing file monitoring application system based on the stability of the communication transmission of the data communication link between different storage servers; determining the monitoring processing frequency of the target sharing file based on the historical update data of the target sharing file in different external network monitoring targets; generating multiple groups of monitoring schemes based on the target sharing file monitoring application system; determining the best monitoring scheme in the different monitoring schemes based on the monitoring processing frequency of the target sharing file and the corresponding monitoring application system; and obtaining the update data of the external network monitoring target through the corresponding monitoring application system of the target sharing file in the best monitoring scheme, and forwarding the update data to the matching application system of the target sharing file in real time, thereby improving the real-time performance of the file sharing processing.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of file sharing, and particularly relates to a file sharing management analysis method and system. BACKGROUND

[0002] In the daily work of the grassroots users of power enterprises, data statistics and aggregation, internal and external network file transmission and other work are high-frequency and time-sensitive, and the traditional methods are mostly carried out by internal network mail, instant messaging and other methods, and the whole process has risks such as difficult collection, easy error and insecurity.

[0003] To solve the above technical problems, in a specific prior art, for example, 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 as to facilitate any user terminal to download or inquire the file and its related description information, and thus achieve the purpose of good communication and sharing of the file, but the above technical solution has the following technical problems:

[0004] In the grassroots enterprise, due to the large number of application systems used, there is a lack of real-time data sharing technical solution between different application systems and between internal and external networks, and different application systems often run on different servers, so how to realize data sharing management between different servers becomes a technical problem to be solved.

[0005] In view of the above technical problems, the present application provides a file sharing management analysis method and system. SUMMARY

[0006] To achieve the purpose of the present application, the present application adopts the following technical solutions:

[0007] To solve the above technical problems, the present application provides to achieve the purpose of the present application, the present application adopts the following technical solutions:

[0008] According to one aspect of the present application, a file sharing management analysis method is provided.

[0009] A file sharing management analysis method, specifically comprising:

[0010] S1 determines the application system of the internal network corresponding to the target shared file, and takes it as the matching application system of the target shared file, and determines the data monitoring demand coefficient of the target shared file in the external network according to the historical update data of the target shared file in different external network monitoring targets and the number of matching application systems, and if the data monitoring demand coefficient is not in the preset interval, go to the next step;

[0011] S2 determines the target shared file in different application systems corresponding to the storage server, and determines the alternative monitoring application system of the target shared file based on the stability of the communication transmission of the data communication link between different storage servers.

[0012] 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.

[0013] S4 generates a plurality of groups of alternative monitoring schemes based on the alternative monitoring application systems of different target shared files, determines the best monitoring scheme in different alternative monitoring schemes through the monitoring processing frequency of different target shared files and the corresponding alternative monitoring application systems, and obtains the update data of the external network monitoring target through the alternative monitoring application system corresponding to the target shared file in the best monitoring scheme. The update data is forwarded to the matching application system of the target shared file in real time.

[0014] The beneficial effects of the present application are:

[0015] 1. The data monitoring demand coefficient of the target shared file in the external network is determined based on the historical update data of the target shared file in different external network monitoring targets and the number of matching application systems, which considers the difference in data monitoring demand caused by the difference in update frequency and update data volume in the external network monitoring target, and also considers the difference in real-time data update demand caused by the difference in the number of matching application systems. This realizes the screening of target shared files with large data monitoring demand, and lays the foundation for differentiated monitoring strategies in the external network.

[0016] 2. The update data of the external network monitoring target is obtained through the alternative monitoring application system corresponding to the target shared file in the best monitoring scheme, so as to realize the monitoring of the update of the target shared file in the external network by using the alternative monitoring application system, realize the real-time synchronization of internal and external network data, avoid the occurrence of technical problems caused by data isolation, and reduce the difficulty of monitoring processing of the target shared file.

[0017] Further technical solutions are that the application system of the internal network corresponding to the target shared file is determined according to the application system in the internal network where the target shared file is used.

[0018] Further technical solutions are that the external network monitoring target includes instant messaging software, mailbox and application system in the external network where the target shared file is used.

[0019] Further technical solutions are that the historical update data includes historical update times and update data volume of different historical update times.

[0020] A further technical solution is that the method for determining the optimal monitoring scheme is as follows:

[0021] The optimal monitoring scheme among different alternative monitoring schemes is determined by analyzing the monitoring and processing frequencies of different target shared files and the corresponding alternative monitoring application systems.

[0022] By utilizing the alternative monitoring application systems corresponding to different target shared files in the alternative monitoring schemes, the target shared files monitored and managed by the different alternative monitoring application systems in the alternative monitoring schemes are determined.

[0023] The monitoring and processing reliability coefficients of different alternative monitoring application systems are determined by the number of target shared files monitored and managed by different alternative monitoring application systems and the monitoring and processing frequency of different target shared files. The comprehensive monitoring reliability coefficient of the alternative monitoring scheme is then determined by the monitoring and processing reliability coefficients of different alternative monitoring application systems.

[0024] The monitoring management difficulty of the alternative monitoring scheme is determined by the number of alternative monitoring application systems in the alternative monitoring scheme. Based on the monitoring management difficulty of the alternative monitoring scheme and the comprehensive monitoring reliability coefficient, the scheme adaptation coefficient of the alternative monitoring scheme is determined. The optimal monitoring scheme among the alternative monitoring schemes is determined by using the scheme adaptation coefficient.

[0025] A further technical solution is that the optimal monitoring scheme is the alternative monitoring scheme with the largest scheme adaptation coefficient.

[0026] 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: when the processor runs the computer program, it executes the above-described file sharing management and analysis method.

[0027] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0028] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0029] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0030] Figure 1This is a flowchart of a file sharing management and analysis method;

[0031] Figure 2 This is a flowchart illustrating the method for determining the data monitoring demand coefficient of the target shared file on the external network;

[0032] Figure 3 This is a flowchart illustrating the method for determining alternative monitoring application systems for target shared files. Detailed Implementation

[0033] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0034] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0035] Example 1

[0036] To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, according to one aspect of the present invention, a file sharing management and analysis method is provided, specifically including:

[0037] 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. If the data monitoring demand coefficient of the target shared file on the extranet is not within the preset range, based on the historical update data of the target shared file in different extranet monitoring targets and the number of matching application systems, proceed to the next step.

[0038] S2 determines the storage servers corresponding to the target shared file in different application systems, and determines the alternative monitoring application systems for the target shared file based on the stability of the communication transmission of the data communication links between the different storage servers.

[0039] S3 determines the monitoring and processing frequency of the target shared file based on the historical update data of the target shared file in different external network monitoring targets;

[0040] S4 generates multiple sets of alternative monitoring schemes based on alternative monitoring application systems for different target shared files. It determines the best monitoring scheme among the alternative monitoring schemes by using the monitoring processing frequency of different target shared files and the corresponding alternative monitoring application systems. It then obtains the updated data of the external network monitoring target 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.

[0041] Furthermore, the application system on the intranet corresponding to the target shared file is determined based on the application system on the intranet that uses the target shared file.

[0042] Specifically, the external network monitoring targets include instant messaging software, email, and application systems on the external network that use the shared files of the targets.

[0043] It is understood that the historical update data includes the number of historical updates and the amount of update data for different historical update numbers.

[0044] It should be noted that, as Figure 2 As shown, the method for determining the data monitoring demand coefficient of the target shared file on the external network is as follows:

[0045] The usage demand coefficient of the target shared file is determined by the number of application systems that match the target shared file;

[0046] Based on the historical update data of the target shared file in different external network monitoring targets, the number of historical updates of the target shared file in different external network monitoring targets is determined, and the probability of external network data change of the target shared file is determined by the number of historical updates of the target shared file in different external network monitoring targets;

[0047] The data monitoring demand coefficient of the target shared file on the external network is determined based on the probability of changes in external network data and the usage demand coefficient.

[0048] Furthermore, the data monitoring demand coefficient of the target shared file on the external network ranges from 0 to 1. When the data monitoring demand coefficient of the target shared file on the external network is within a preset range, the updated data of the target shared file on the external network is determined through the unified monitoring platform set up on the external network, and the updated data is forwarded to different matching application systems.

[0049] It should also be noted that the method for determining the data monitoring demand coefficient of the target shared file on the external network is as follows:

[0050] S11 Obtain the number of matching application systems for the target shared file;

[0051] S12 determines the usage demand coefficient of the target shared file based on the number of matching application systems of the target shared file, and determines the historical update count of the target shared file in different external network monitoring targets;

[0052] S13 determines the probability of external network data change of the target shared file by the number of historical updates of the target shared file in different external network monitoring targets, and determines the data monitoring demand coefficient of the target shared file on the external network based on the probability of external network data change and the usage demand coefficient.

[0053] Optionally, step S11 above includes the following:

[0054] Obtain the number of matching application systems for the target shared file, and determine whether the number of matching application systems for the target shared file is greater than the preset number of application systems. If yes, determine that the data monitoring demand coefficient of the target shared file on the external network is within the preset range. If no, proceed to step S12.

[0055] Optionally, step S12 above includes the following:

[0056] S121 determines the usage demand coefficient of the target shared file based on the number of matching application systems of the target shared file, and determines whether the usage demand coefficient is greater than the preset usage demand coefficient. If yes, proceed to the next step; otherwise, proceed to step S13.

[0057] S122 Based on the historical update data of the target shared file in different external network monitoring targets, determine the total number of historical updates of the target shared file, and determine whether the total number of historical updates of the target shared file is greater than a preset number threshold. If yes, determine that the data monitoring demand coefficient of the target shared file in the external network is within a preset range. If no, proceed to the next step.

[0058] S123 determines the historical update count of the target shared file in different external network monitoring targets, and judges whether the number of external network monitoring targets with a historical update count greater than a preset update count threshold is greater than a preset target number. If yes, it determines that the data monitoring demand coefficient of the target shared file in the external network is within a preset range. If no, it proceeds to step S13.

[0059] Furthermore, such as Figure 3 As shown, the method for determining the candidate monitoring application system for the target shared file is as follows:

[0060] The storage server of a specific matching application system is used as the specific server, and the historical communication transmission data of the data communication link between the specific server and other matching application systems is obtained.

[0061] Based on the historical communication transmission data, determine the data transmission delay data between it and other matching application systems, and determine the data transmission reliability coefficient between it and other matching application systems based on the average data transmission delay.

[0062] The data transmission reliability of the specific server is determined based on the average data transmission reliability coefficient between it and other matching application systems, and the matching application system corresponding to the specific server is used to determine whether it is a candidate monitoring application system.

[0063] Furthermore, when the data transmission reliability of the matching application system corresponding to the specific server is within a preset reliability range, the matching application system corresponding to the specific server is determined as a candidate monitoring application system.

[0064] It should be noted that the data transmission reliability coefficient between the system and other matching application systems is determined based on the average data transmission latency. Specifically, this includes:

[0065] The preset reliability coefficient corresponding to the average delay is used as the data transmission reliability coefficient between the system and other matching application systems.

[0066] It is also understood that the method for determining the candidate monitoring application system for the target shared file is as follows:

[0067] S21 uses the storage server of a specific matching application system as a specific server, obtains the historical communication transmission data of the data communication link between the specific server and other matching application systems, and determines the data transmission delay data between the specific server and other matching application systems based on the historical communication transmission data.

[0068] Optionally, step S21 above includes the following:

[0069] S211 uses the storage server of a specific matching application system as a specific server, obtains the historical communication transmission data of the data communication link between the specific server and other matching application systems, determines the data transmission delay data between the specific server and other matching application systems based on the historical communication transmission data, and determines whether there are other matching application systems whose average delay does not meet the requirements based on the average data transmission delay. If yes, proceed to the next step; otherwise, proceed to step S24.

[0070] S212 determines whether the number of other matching application systems whose average latency does not meet the requirements is greater than the preset number of application systems. If yes, the matching application system corresponding to the specific server is determined as a candidate monitoring application system. If no, proceed to step S22.

[0071] S22 determines the data transmission reliability coefficient between the system and other matching application systems based on the average data transmission delay between the system and other matching application systems and the number of data transmissions with a delay greater than a preset delay threshold.

[0072] Optionally, step S22 above includes the following:

[0073] S221 identifies other matching application systems whose average latency does not meet the requirements as latency communication application systems. The latency anomaly coefficient is determined by the number of these latency communication application systems and the average latency of different latency communication application coefficients. It is then determined whether the selected latency anomaly coefficient meets the requirements. If yes, the matching application system corresponding to the specific server is identified as a candidate monitoring application system. If not, the process proceeds to the next step.

[0074] S222 determines the data transmission reliability coefficient between the system and other matching application systems based on the average data transmission delay and the number of data transmissions with a delay greater than a preset delay threshold. It then determines whether there are other matching application systems whose data transmission reliability coefficient does not meet the requirements. If so, it determines that the matching application system corresponding to the specific server is not a candidate monitoring application system. If not, it proceeds to step S23.

[0075] S23 determines the data transmission reliability of the specific server based on the average data transmission reliability coefficient between it and other matching application systems, and determines whether the matching application system corresponding to the specific server is a candidate monitoring application system based on the data transmission reliability.

[0076] Furthermore, the method for determining the monitoring and processing frequency of the target shared file is as follows:

[0077] The historical update count of the target shared file in different external network monitoring targets is determined by the historical update data of the target shared file in different external network monitoring targets, and the external network data change probability of the target shared file is determined based on the historical update count;

[0078] Based on the historical update count, the interval between different adjacent historical update counts in different external network monitoring targets is determined, and the data change probability in different external network monitoring targets is determined by combining the update data volume in different historical update counts.

[0079] The overall change probability is determined by combining 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 files is determined by using the overall change probability.

[0080] Specifically, determining the monitoring and processing frequency of the target shared file using the comprehensive change probability includes:

[0081] 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 through the preset monitoring and processing frequency.

[0082] It should also be noted that the method for determining the monitoring and processing frequency of the target shared files is as follows:

[0083] S31 determines the number of historical updates 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;

[0084] S32 determines the interval between different adjacent historical update counts in different external network monitoring targets based on the historical update counts, and determines the data change probability in different external network monitoring targets by combining the update data volume in different historical update counts.

[0085] S33 determines the probability of external network data change of the target shared file based on the historical update count, determines the comprehensive change probability by combining 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.

[0086] Optionally, step S31 includes the following:

[0087] The historical update count of the target shared file in different external network monitoring targets is determined based on the historical update data of the target shared file in different external network monitoring targets. It is then determined whether the historical update count is greater than a preset update count threshold. If so, the monitoring processing frequency of the target shared file is determined based on a preset frequency. If not, the process proceeds to step S32.

[0088] Furthermore, the method for determining the optimal monitoring scheme is as follows:

[0089] The optimal monitoring scheme among different alternative monitoring schemes is determined by analyzing the monitoring and processing frequencies of different target shared files and the corresponding alternative monitoring application systems.

[0090] By utilizing the alternative monitoring application systems corresponding to different target shared files in the alternative monitoring schemes, the target shared files monitored and managed by the different alternative monitoring application systems in the alternative monitoring schemes are determined.

[0091] The monitoring and processing reliability coefficients of different alternative monitoring application systems are determined by the number of target shared files monitored and managed by different alternative monitoring application systems and the monitoring and processing frequency of different target shared files. The comprehensive monitoring reliability coefficient of the alternative monitoring scheme is then determined by the monitoring and processing reliability coefficients of different alternative monitoring application systems.

[0092] The monitoring management difficulty of the alternative monitoring scheme is determined by the number of alternative monitoring application systems in the alternative monitoring scheme. Based on the monitoring management difficulty of the alternative monitoring scheme and the comprehensive monitoring reliability coefficient, the scheme adaptation coefficient of the alternative monitoring scheme is determined. The optimal monitoring scheme among the alternative monitoring schemes is determined by using the scheme adaptation coefficient.

[0093] It is understood that the optimal monitoring scheme is the alternative monitoring scheme with the highest scheme fit coefficient.

[0094] Optionally, step S32 above includes the following:

[0095] S321 Determine whether there is an external network monitoring target with a historical update count greater than the preset limit. If yes, proceed to the next step; otherwise, proceed to step S33.

[0096] S322 determines whether the maximum number of historical updates of the external network monitoring target meets the requirements. If yes, proceed to the next step; otherwise, determine the monitoring and processing frequency of the target shared file based on the preset frequency.

[0097] S323 determines whether the number of external network monitoring targets whose historical update count is greater than a preset limit is within a preset number range. If yes, proceed to step S33; otherwise, determine the monitoring and processing frequency of the target shared file based on a preset frequency.

[0098] Optionally, step S33 above includes the following:

[0099] S331 determines the interval between different adjacent historical update counts in different external network monitoring targets based on the historical update count, and determines the data change probability in different external network monitoring targets by combining the update data volume in different historical update counts. It then determines whether there are external network monitoring targets whose data change probability does not meet the requirements. If so, it determines the monitoring processing frequency of the target shared file based on the preset frequency. If not, it proceeds to the next step.

[0100] S332 determines the probability of external network data change of the target shared file based on the historical update count, determines the comprehensive change probability by combining 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.

[0101] Example 2

[0102] 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: when the processor runs the computer program, it executes the above-described file sharing management and analysis method.

[0103] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0104] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0105] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A file sharing management and analysis method, characterized in that, Specifically, it includes: Determine the intranet application system corresponding to the target shared file and use it as the matching application system for the target shared file. If the data monitoring demand coefficient of the target shared file on the extranet is not within the preset range, based on the historical update data of the target shared file in different extranet monitoring targets and the number of matching application systems, proceed to the next step. The storage servers corresponding to the target shared file in different matching application systems are determined, and the alternative monitoring application systems for the target shared file are determined based on the stability of the communication transmission of the data communication links between the different storage servers. Based on the historical update data of the target shared file in different external network monitoring targets, the monitoring and processing frequency of the target shared file is determined; Based on different target shared files, the alternative monitoring application system generates multiple sets of alternative monitoring schemes. By using the monitoring and processing frequency of different target shared files and the corresponding alternative monitoring application systems, the optimal monitoring scheme is determined. The updated data of the external network monitoring target is obtained 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 matching application system of the target shared file in real time.

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

3. The file sharing management and analysis method as described in claim 1, characterized in that, The external network monitoring targets include application systems on the external network that use the shared files of the targets.

4. The file sharing management and analysis method as described in claim 1, characterized in that, The historical update data includes the number of historical updates and the amount of update data for different historical update counts.

5. The file sharing management and analysis method as described in claim 1, characterized in that, The method for determining the data monitoring demand coefficient of the target shared file on the external network is as follows: The usage demand coefficient of the target shared file is determined by the number of application systems that match the target shared file; Based on the historical update data of the target shared file in different external network monitoring targets, the number of historical updates of the target shared file in different external network monitoring targets is determined, and the probability of external network data change of the target shared file is determined by the number of historical updates of the target shared file in different external network monitoring targets; The data monitoring demand coefficient of the target shared file on the external network is determined based on the probability of changes in external network data and the usage demand coefficient.

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

7. The file sharing management and analysis method as described in claim 1, characterized in that, The method for determining the candidate monitoring application systems for the target shared files is as follows: The storage server of a specific matching application system is used as the specific server, and the historical communication transmission data of the data communication link between the specific server and other matching application systems is obtained. Based on the historical communication transmission data, determine the data transmission delay data between it and other matching application systems, and determine the data transmission reliability coefficient between it and other matching application systems based on the average data transmission delay. The data transmission reliability of the specific server is determined based on the average data transmission reliability coefficient between it and other matching application systems, and the matching application system corresponding to the specific server is used to determine whether it is a candidate monitoring application system.

8. The file sharing management and analysis method as described in 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 range, 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 as described in claim 7, characterized in that, The data transmission reliability coefficient between the system and other matching application systems is determined based on the average data transmission latency, specifically including: The preset reliability coefficient corresponding to the average delay is used as the data transmission reliability coefficient between the system and 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: when the processor runs the computer program, it executes a file sharing management and analysis method according to any one of claims 1-9.

Images