Local area network website operation system and operation method based on total elements

Abstract

The invention provides a local area network website operation system and operation method based on total elements, and the method comprises the steps: a monitoring data collection module collects network monitoring data before system operation, and transmits the network monitoring data to a data analysis module through a data center module to obtain a plurality of data analysis results; the association analysis module associates the plurality of data analysis results to obtain association analysis result data; the alarm data module outputs alarm information according to a final data analysis result, the data report module performs report presentation and export according to the final data analysis result, the large-screen display module performs visual presentation according to the final data analysis result, and the operation knowledge base module outputs operation suggestions and opinions according to the final data analysis result. According to the invention, a total element acquisition and analysis mode is provided, so that website operation and maintenance management personnel are effectively helped to improve the operation efficiency.

Description

Technical Field

[0001] The present invention relates to the field of network technology, and in particular to a local area network website operation system and operation method based on all elements. Background Art

[0002] At present, various government agencies are running a large number of systems deployed on the local area network. Most of these systems provide services to the outside world through website behavior. The main elements of the normal operation of a single website business system include: the website operation program itself, the website operation environment, the network environment, the access terminal and the access user, etc. Figure 1 The diagram below shows a common structural diagram of a website business system.

[0003] The website system of the internal network usually has the following characteristics: many types of business, different business audiences, long construction time span and large differences in website technology stacks. The above characteristics make it easy for various problems or deficiencies to occur in actual situations, which are usually manifested as follows: 1) The factors causing abnormal website access are complex, and the problem location and resolution time is long, and it mainly depends on the experience of operation and maintenance engineers; 2) It is impossible to analyze the security risks or performance bottlenecks of website services in advance, and risks can only be perceived after the fact; 3) It is impossible to effectively perceive the website access preferences of different departments and different personnel, so it is impossible to effectively combine user preferences to operate website content and optimize website design; 4) It is impossible to count and analyze the overall visits of different websites in the same dimension, so it is impossible to establish a unified evaluation standard for websites within the network.

[0004] Existing analysis of internal network websites mainly starts from the website user access behavior, involving only the access users, access terminals, and website running programs. Or it is approached from a single dimension, such as the website behavior analysis system for website access behavior and the operation and maintenance management system for monitoring website behavior carriers. These cannot effectively support the managers' demands for website operations. Summary of the invention

[0005] The present invention provides a local area network website operation system and operation method based on all elements, so as to solve the defects of the local area network website business system in the prior art, such as multiple business types, different business audiences, long construction time span and large differences in website technology stacks.

[0006] In a first aspect, the present invention provides a local area network website operation system based on all elements, comprising:

[0007] Monitoring data collection module, data center module, data analysis module, correlation analysis module, alarm data module, data report module, large screen display module and operation knowledge base module;

[0008] The monitoring data acquisition module collects network monitoring data before the system is run, and transmits the data to the data analysis module through the data center module to obtain multiple data analysis results;

[0009] The association analysis module performs association analysis on the multiple data analysis results, including cross-dimensional data integration and building a multi-dimensional association model to obtain a final data analysis result;

[0010] The alarm data module outputs intelligently merged alarm information according to the final data analysis result, reduces redundant information, and improves the efficiency and accuracy of alarm processing;

[0011] The data report module presents and exports reports based on the final data analysis results, the large screen display module presents visualization based on the final data analysis results, and the operation knowledge base module outputs operation suggestions and opinions based on the final data analysis results;

[0012] Among them, the alarm data module, the data report module, the large-screen display module and the operation knowledge base module all belong to the visual presentation function.

[0013] According to a full-factor based local area network website operation system provided by the present invention, the monitoring data collection module includes website access behavior monitoring, operating environment monitoring, network environment monitoring and access terminal monitoring;

[0014] The website access behavior monitoring includes adding JavaScript script tracking code to the frame page of the website, monitoring the user access behavior of the website page in real time, and recording the visitor information collection;

[0015] The operating environment monitoring includes deploying a probe program in the operating system environment running on the website to obtain a monitoring resource information set in real time;

[0016] The network environment monitoring includes analyzing the switch mirror traffic at the website export, and real-time monitoring of the total traffic and the traffic associated with the website; the monitored traffic information includes quintuple information and data packet information

[0017] The access terminal monitoring includes deploying a probe program on the terminal, regularly testing the network accessibility of the terminal to the website service, and monitoring the resource usage of the terminal itself in real time.

[0018] According to a full-factor LAN website operation system provided by the present invention, the data analysis module independently analyzes user access behavior data, website operating environment data, network traffic data and terminal access data to obtain the multiple data analysis results.

[0019] According to a full-factor LAN website operation system provided by the present invention, the user access behavior data is analyzed through user dimension, website dimension and terminal dimension; the user dimension analysis is based on the user account, including user access website preference analysis, user access behavior habit analysis and user abnormal access analysis;

[0020] The website dimension analysis is based on the website, including website visit volume and trend analysis, user behavior analysis, content performance analysis and visiting user analysis;

[0021] The terminal dimension analysis is performed based on the access terminal, including access terminal type analysis, access terminal browser and version analysis.

[0022] According to a full-factor LAN website operation system provided by the present invention, the website operation environment data analysis is performed from the perspective of resource usage. By comprehensively analyzing the operating system, website programs, database programs that the website depends on, middleware programs that the website depends on, and CPU, memory, disk and network resource usage rates, the overall resource load and bottleneck conditions of the website operation environment are perceived.

[0023] According to a full-factor LAN website operation system provided by the present invention, the network traffic data includes data analysis from the underlying network communication data situation, the network traffic analysis analyzes whether there is a bottleneck in the current traffic from the perspective of overall traffic, website traffic, etc., analyzes traffic changes and trends, and uses dynamic baselines, threshold settings, and black and white list technologies to comprehensively judge abnormal network traffic.

[0024] According to a full-factor LAN website operation system provided by the present invention, the terminal access data includes analysis of the network connectivity from the terminal to the designated service and analysis of the utilization rate of its own resources.

[0025] In a second aspect, the present invention further provides a method for operating a local area network website based on all elements, comprising:

[0026] The user collects network monitoring data through the monitoring script of the monitoring data collection module, and transmits the network monitoring data back to the data center module;

[0027] The data center module transmits the network monitoring data to the data analysis module, and performs data analysis on user access behavior data analysis, website visit behavior data analysis, website operation basic environment data analysis, terminal access behavior data analysis and network traffic data analysis to obtain multiple data analysis results;

[0028] The association analysis module associates the multiple data analysis results, including cross-dimensional data integration and building a multi-dimensional association model; the association analysis module supports an interactive approach, where users can dynamically adjust analysis parameters and dimensions through an interactive interface and view association analysis results in real time to meet personalized analysis needs;

[0029] Cross-dimensional data integration integrates data from websites, users, terminals, servers and other dimensions to ensure the uniqueness, comprehensiveness and integrity of the data;

[0030] By building a multi-dimensional correlation model and conducting comprehensive analysis of data from various dimensions, comprehensive anomalies of website services can be discovered from the perspective of the entire process and all factors. By deeply analyzing the interactions and impacts between data from various dimensions, such as the relationship between a surge in visit volume and server load, network latency and visit experience, data is provided to administrators to plan website resources.

[0031] According to a method for operating a local area network website based on all elements provided by the present invention, the association analysis module associates the multiple data analysis results, and performs secondary analysis on the associated data in an interactive manner, and after obtaining the final data analysis result, the method further includes:

[0032] If the final data analysis result triggers the alarm rule, the alarm data module outputs the alarm information;

[0033] The data report module reports and exports the final data analysis results, and supports user-defined report output;

[0034] The final data analysis results are visualized by a large-screen display module based on multiple business perspective dimensions;

[0035] The operation knowledge base module outputs website operation suggestion results based on the final data analysis results.

[0036] According to a method for operating a local area network website based on all elements provided by the present invention, the data center module transmits the network monitoring data to the data analysis module, and performs data analysis from the perspectives of user access behavior data analysis, website visit behavior data analysis, website operation basic environment data analysis, terminal access behavior data analysis, and network traffic data analysis, respectively, to obtain multiple data analysis results, including:

[0037] From the user's perspective, analyze the user's web page access behavior based on the preference analysis dimension to obtain the user access behavior data analysis results;

[0038] Analyze the web pages visited by users from the perspective of the website, determine the overall visit situation and user reach rate of different websites, and obtain the data analysis results of website visit behavior;

[0039] Analyze the basic environment data of the website operation from the perspective of the website operation environment to obtain the analysis results of the basic environment data of the website operation;

[0040] Analyze terminal access data from the terminal perspective to obtain terminal access behavior data analysis results;

[0041] Conduct data analysis from the perspective of network traffic and obtain network traffic data analysis results.

[0042] The full-factor based LAN website operation system and operation method provided by the present invention aims at the defects of the prior art that the internal network website operation collection elements are incomplete and the analysis focuses on access behavior. By providing a full-factor collection and analysis mode, it effectively helps website operation and maintenance managers improve operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 It is a common structural diagram of a website business system provided in the prior art;

[0045] Figure 2 It is a schematic diagram of the system function module flow provided by the present invention;

[0046] Figure 3 It is a schematic diagram of the system monitoring data access process provided by the present invention;

[0047] Figure 4 It is a flow chart of non-network traffic data monitoring of the system provided by the present invention;

[0048] Figure 5 It is a functional diagram of the data analysis module provided by the present invention;

[0049] Figure 6 This is a functional diagram of the situation large screen module provided by the present invention;

[0050] Figure 7 It is a suggested flow chart of website operation provided by the present invention;

[0051] Figure 8 It is a flow chart of the LAN website operation method based on all elements provided by the present invention. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] In view of the many problems existing in the operation and management of existing LAN website systems, the present invention aims to help managers reduce management complexity and improve the work efficiency of website operations by collecting and analyzing all-factor information of the normal operation of the website.

[0054] Figure 2 is a schematic diagram of the system function module flow provided by an embodiment of the present invention, such as Figure 2 As shown, it includes: monitoring data acquisition module, data center module, data analysis module, correlation analysis module, alarm data module, data report module, large screen display module and operation knowledge base module;

[0055] The monitoring data acquisition module collects network monitoring data before the system is run, and transmits the data to the data analysis module through the data center module to obtain multiple data analysis results;

[0056] The association analysis module associates the multiple data analysis results to obtain associated data, and performs secondary analysis on the associated data in an interactive manner to obtain a final data analysis result;

[0057] The alarm data module outputs alarm information according to the final data analysis result, the data report module presents and exports reports according to the final data analysis result, the large screen display module presents visualization according to the final data analysis result, and the operation knowledge base module outputs operation suggestions and opinions according to the final data analysis result;

[0058] Among them, the alarm data module, the data report module, the large-screen display module and the operation knowledge base module all belong to the visual presentation function.

[0059] Specifically, before the system is run, the monitoring script of the data collection module is used to monitor the website access behavior, operating environment, network environment, access terminal and other dimensions separately;

[0060] Monitoring of website access behavior can be done by adding JavaScript script tracking code to the frame page of the website, so as to monitor the user access behavior of the website page in real time, and record the visitor's access time, terminal IP, access account, website IP, website address, URL address, loading time, page dwell time, and record the visitor information set including terminal IP, access account, access browser, access operating system, access terminal type, etc.

[0061] Monitoring of the website's operating environment can be done by deploying probe programs in the operating system environment where the website runs. This allows real-time monitoring of system resource load, website program resource usage, middleware program resource usage, and database program resource usage. Specific resource usage includes CPU usage, memory usage, disk IO rate, and network IO rate.

[0062] The monitoring of the network environment can monitor the total traffic and the traffic details associated with the website in real time by analyzing the switch mirror traffic at the website exit. The monitored traffic information includes five-tuple information, which includes source IP, source port, destination IP, destination port and communication protocol, as well as data packet information, including data packet type, data packet size, etc.

[0063] Monitoring of access terminals By deploying probe programs on terminals, access to different websites from different terminals can be monitored in real time, including network anomaly detection, network delay detection, access permission verification, etc.

[0064] The data analysis module independently analyzes different data sources such as user access behavior data, website operating environment data, network traffic data, terminal access data, etc.

[0065] User access behavior data analysis can be performed from three dimensions: users, websites, and terminals. User data can be extracted from user access behavior and can also be obtained from third-party interfaces. Website and terminal data can be manually configured by users and can also be obtained from third-party interfaces.

[0066] It can be understood that user dimension analysis is based on user accounts, including user website preference analysis, user access behavior habit analysis and user abnormal access analysis; website dimension analysis is based on websites, including website visit volume and trend analysis, user behavior analysis, content performance analysis and visiting user analysis; terminal dimension analysis is based on access terminals, including access terminal type analysis, access terminal browser and version analysis.

[0067] The basic environment data analysis of the website operation is carried out from the dimensions of operating system, internal programs, database, middleware, external dependency interface, etc.

[0068] Terminal access data analysis analyzes the network connectivity of the terminal to the specified service and its own resource utilization.

[0069] Network traffic data analysis mainly analyzes the underlying network communication data.

[0070] The association analysis is based on the above-mentioned categories of analysis results to make further associations and supports secondary analysis of the data in an interactive manner.

[0071] Alarm data refers to data that matches the alarm rules built into the system and configured by the user. It supports displaying the details of the alarm data and merging and processing the alarm data.

[0072] Data reports support reporting and exporting of analysis results data, as well as user-defined reports.

[0073] Large-screen display supports visual presentation from different business perspectives.

[0074] Operational suggestions Based on the analysis results data, corresponding operational suggestions and opinions are given to website managers.

[0075] like Figure 3 As shown in the figure, before the system is running, users need to monitor website access behavior, website operation basic environment, network environment, access terminal and other dimensions through the monitoring script of the data collection module, and transmit the monitored and collected data back to the data center. Among them, the monitoring of website access behavior, website operation basic environment and access terminal requires users to download the monitoring script from the system first, and then install and deploy it in the corresponding environment. After the script is run, the collected data will be transmitted back to the operation system. The specific process is as follows Figure 4 shown.

[0076] The network environment data is collected by accessing the mirrored traffic device for analysis.

[0077] Analyze the collected data, such as Figure 5 As shown, it can be divided into the following dimensions:

[0078] (1) User access behavior data analysis: Analyze users’ web access behaviors from the user’s perspective. The website / webpage access preferences of different personnel, positions, and departments can be analyzed. The preference analysis dimensions include website access preferences, webpage access preferences, access time preferences, access method preferences, search content preferences, etc., and analyze abnormal user access behaviors.

[0079] (2) Website visit behavior data analysis: Analyze users’ web page access behavior from the website’s perspective. On the one hand, it can analyze the overall visit situation of different websites (based on PV and UV), further analyze the popularity of websites and web pages, and identify zombie websites. On the other hand, it can analyze the user reach of information through the detailed visit situation of the web pages, and assist the website in content operation strategy analysis.

[0080] (3) Analysis of website operation basic environment data: Analyze the basic environment data of website operation from the perspective of website operation environment. The website operation foundation mainly includes operating system, database and middleware, so the data analysis of basic environment also includes these three dimensions. The basic environment data analysis of operating system layer mainly analyzes the resource usage of the system, which is divided into the overall resource usage of the system, including storage, CPU, memory, etc., and the process resource usage, including CPU, memory, etc.; the basic environment data analysis of database layer mainly analyzes the resource load of database program itself (CPU, memory, etc.) and database query speed dimension; the basic environment data analysis of middleware layer mainly analyzes the middleware log information. Generally, middleware logs are divided into normal logs and abnormal logs. The log information contains basic information such as visitor IP, access time, request method, request address, protocol version, request status, request page size, user browser information, proxy address, etc. In this invention, the abnormal log of middleware is mainly analyzed to help website operators perceive the risk of website operation.

[0081] (4) Terminal access behavior data analysis: Analyze terminal access data from the terminal perspective. On the one hand, it can combine the monitoring of local network access behavior, compare the monitored websites, and analyze the information of unmonitored LAN websites; on the other hand, it supports network access verification at the terminal, regularly detecting the network connectivity of the terminal to the specified website service, as well as the network stability.

[0082] (5) Network traffic data analysis: data analysis from the perspective of network traffic. Website access traffic is only a part of network traffic. In addition to focusing on the overall load of network traffic, network traffic analysis analyzes whether there is a bottleneck in the current traffic from the perspective of overall traffic and website traffic, analyzes traffic changes and trends, and uses dynamic baselines, threshold settings, blacklists and other technologies to comprehensively judge abnormal network traffic. It can further distinguish between network traffic analysis of the entire website business system, network traffic analysis of a single website system, and network traffic analysis from a terminal to a website. Network traffic analysis mainly analyzes basic network elements such as source IP, source port, destination IP, destination port, and communication protocol.

[0083] For the above analysis result data, if the alarm rules are hit, they will be uniformly entered into the alarm data, which is convenient for users to further process. The alarm data types are divided into: abnormal operating environment alarm, abnormal network traffic alarm, abnormal user access alarm, and abnormal website access alarm. Among them, abnormal user access alarm and abnormal website access alarm are analyzed from the statistical dimension, which can be further divided into time dimension abnormality, frequency dimension abnormality, and permission dimension abnormality.

[0084] The association analysis is based on the above-mentioned categories of analysis results to make further associations and supports secondary analysis of the data in an interactive manner.

[0085] Data reports support reporting and exporting of analysis results data, as well as user-defined reports.

[0086] like Figure 6 As shown in the figure, the large screen display supports visual presentation from the business perspectives of leaders, website operators, and ordinary users. The leadership perspective supports the overview large screen, website overview large screen, basic environment overview large screen, terminal overview large screen, and network traffic overview large screen, which is convenient for viewing the overall operation and monitoring of the system; the website operator perspective supports the abnormal alarm large screen and the single website large screen, which is convenient for perceiving the overall abnormal alarm and the detailed information of a single website.

[0087] like Figure 7 As shown, the operational suggestions are based on the analysis result data, and corresponding operational suggestions and opinions are given to website managers, which can be classified according to the operating entity.

[0088] The first category is operational suggestions for expanding resources. System feedback mainly reflects high resource load in the basic environment for website operation, such as high CPU load, insufficient memory, insufficient disk and other alarm prompts; network traffic continues to be high and other alarm prompts.

[0089] The second category is operational suggestions for adjusting and optimizing operational strategies. The system mainly performs operational optimization based on the results of web page access data analysis. For example, if a website system is found to have no access records for a long time, the system will determine it as a zombie website, and staff will need to further evaluate and determine whether it needs to be removed from the shelves to release system resources; analyze the access to promotional web pages by different departments and different personnel, and assist staff in making further content operation strategies; analyze the access preferences of different departments and different personnel, and optimize web page content in a targeted manner.

[0090] The third category is operational suggestions for system operation and maintenance. For example, when unmonitored website application alarms and basic environment alarms are found, the staff can be assisted to determine whether there are monitoring blind spots and improve security monitoring strategies; when the terminal accesses a specific website service network link abnormality alarm, the staff can be assisted to determine network abnormalities and solve network problems in advance.

[0091] Figure 8 is a flow chart of a method for operating a local area network website based on all elements provided by an embodiment of the present invention, such as Figure 8 As shown, including:

[0092] Step 100: The user collects network monitoring data through the monitoring script of the monitoring data collection module, and transmits the network monitoring data back to the data center module;

[0093] Step 200: The data center module transmits the network monitoring data to the data analysis module, and performs data analysis on user access behavior data analysis, website visit behavior data analysis, website operation basic environment data analysis, terminal access behavior data analysis and network traffic data analysis to obtain multiple data analysis results;

[0094] Step 300: The association analysis module associates the multiple data analysis results, including cross-dimensional data integration and building a multi-dimensional association model; and adopts an interactive method, and the user dynamically adjusts the analysis parameters and dimensions through the interactive interface, and views the association analysis results in real time to meet personalized analysis needs;

[0095] Step 400: Cross-dimensional data integration integrates the dimensional data of websites, users, terminals, servers, etc. to ensure the uniqueness, comprehensiveness and integrity of the data;

[0096] Step 500: Construct a multi-dimensional correlation model. Through comprehensive analysis of data from various dimensions, discover comprehensive anomalies of website services from the perspective of the entire process and all elements; through in-depth analysis of the interactions and impacts between data from various dimensions, such as the relationship between a surge in visit volume and server load, network latency and visit experience, provide data basis for administrators to plan website resources.

[0097] In an embodiment of the present invention, the process of a user accessing a website includes:

[0098] The user logs in to the terminal, opens the browser and enters the corresponding website information in the terminal. The system background first verifies the network connectivity between the terminal and the website host, and then verifies the validity of the website network address. If normal, the browser will load the corresponding website content information, which involves access rights or login, and requires corresponding authentication.

[0099] Specifically, before the system is running, users need to first monitor website access behavior, website operation basic environment, network environment, access terminal and other dimensions through the monitoring script of the data collection module, and the monitored collected data is sent back to the data center. Among them, the monitoring of website access behavior, website operation basic environment, and access terminal requires users to first download the monitoring script from the system, and then install and deploy it in the corresponding environment. After the script is run, the collected data will be sent back to the operation system. The collection method of network environment data is to analyze it by connecting to the mirrored traffic device, and the collected data is analyzed in multiple dimensions.

[0100] Among them, if an alarm is involved, the alarm data will be uniformly entered to facilitate further processing by users. The correlation analysis is based on the further correlation of the above-mentioned types of analysis result data, and supports secondary analysis of the data in an interactive manner. The data report supports the presentation and export of analysis result data, and also supports user-defined reports. The large-screen display supports visual presentation from business perspectives such as leaders, website operators, and ordinary users. The final output of the operational suggestions is based on the analysis result data, and corresponding operational suggestions and opinions are made to website managers, which can be classified according to the operating entity. Specifically, it includes the following aspects:

[0101] 1. Analysis of website service anomalies

[0102] Comprehensively analyze the reasons for website service anomalies from the perspectives of the website's operating environment, the website's underlying data traffic, user access, etc., to help administrators find the root cause of the anomaly more quickly and recover quickly. Anomaly analysis priority:

[0103] (1) Abnormal judgment of website service itself

[0104] ①Whether the website program itself is normal, make a comprehensive judgment based on the program running status and program startup time. (The startup time is used to detect program restart scenarios caused automatically or manually)

[0105] ② Whether the dependent services are normal can be comprehensively judged through the dependent service running status and service startup time.

[0106] (2) Basic ring abnormality judgment

[0107] ① Server resource abnormality judgment: judge by whether the overall server load exceeds the threshold.

[0108] ② Network resource anomaly judgment is made through the network connectivity of each terminal and website.

[0109] (3) User access abnormality judgment

[0110] ① Abnormal access judgment: obtain access habits through historical access data, and then make a comprehensive judgment based on the number of accesses and access time;

[0111] ② Abnormal login judgment: obtain access habits through historical login data, and then make a comprehensive judgment based on the number of logins and login time;

[0112] ③ Abnormal performance judgment: judge by whether the loading time of accessing the web page exceeds the threshold.

[0113] 2. Analysis of overall performance bottlenecks of website services

[0114] The performance bottleneck of website services is mainly the scenario where users can access the website services, but the access is unstable or the access loading time is too long. The reasons are mainly divided into external factors and program factors. External factors include server resources, network resources, terminal resources and other dimensions. If there are no problems with other factors, but there are still problems with the website service, it can be judged that it is a program factor.

[0115] (1) Analysis of website server resource bottlenecks: Analyze the specific load and changes of each dimension of the website server (CPU, memory, disk IO, network IO), perceive the resource bottleneck type of the server, and the specific pressure value. Perform fine-grained analysis on the resources with the largest bottleneck, and analyze which program the bottleneck mainly comes from, whether it is a program that the website relies on or an external program (detect the situation where the server is used for multiple purposes and the high resource load of external programs affects the website service)

[0116] (2) Network resource bottleneck analysis: Analyze whether the overall network traffic has reached the upper limit. If so, which network services account for the largest share of network traffic, and how much of the website traffic accounts for the overall network traffic, so as to determine whether there is an overall bottleneck on the network resource side. If there is a bottleneck, find out the network service that accounts for the largest share of network resources.

[0117] (3) Terminal resource bottleneck analysis: By analyzing the speed of accessing the same website using terminals with different configurations and different browser types and versions, we can comprehensively determine the impact of different terminal configurations, browser types and versions on access performance, and provide a basis for users to upgrade their configurations and browsers.

[0118] 3. Data association analysis

[0119] Select data from two dimensions, such as user access data from the website dimension and resource load data from the server dimension, web page access loading time data from the user dimension and network delay data from the network dimension. Perform the following dimensional correlation analysis on the data from the two dimensions:

[0120] Time Series Analysis: By analyzing the time series of two datasets, we can see if there is any temporal correlation. For example, if the network latency increases over a period of time, we can check if the page load time also increases during this period.

[0121] Correlation analysis: Pearson's correlation coefficient statistical method is used to measure the linear relationship between two variables.

[0122] Cross-correlation analysis: A special type of correlation analysis used to detect lagged effects between two time series.

[0123] The present invention aims at the defects in the prior art that website operation collection elements of internal LAN networks are incomplete and analysis focuses on access behavior. By providing a full-element collection and analysis mode, the present invention effectively helps website operation and maintenance managers improve operation efficiency.

[0124] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0125] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A local area network website operation system based on all elements, It is characterized in that include: Monitoring data collection module, data center module, data analysis module, correlation analysis module, alarm data module, data report module, large screen display module and operation knowledge base module; The monitoring data acquisition module collects network monitoring data before the system is run, and transmits the data to the data analysis module through the data center module to obtain multiple data analysis results; The association analysis module performs association analysis on the multiple data analysis results, including cross-dimensional data integration and building a multi-dimensional association model to obtain a final data analysis result; The alarm data module outputs intelligently merged alarm information according to the final data analysis result, reduces redundant information, and improves the efficiency and accuracy of alarm processing; The data report module presents and exports reports based on the final data analysis results, the large screen display module presents visualization based on the final data analysis results, and the operation knowledge base module outputs operation suggestions and opinions based on the final data analysis results; Among them, the alarm data module, the data report module, the large-screen display module and the operation knowledge base module all belong to the visual presentation function.

2. The all-factors-based LAN website operation system according to claim 1, It is characterized in that The monitoring data collection module includes website access behavior monitoring, operating environment monitoring, network environment monitoring and access terminal monitoring; The website access behavior monitoring includes adding JavaScript script tracking code to the frame page of the website, monitoring the user access behavior of the website page in real time, and recording the visitor information collection; The operating environment monitoring includes deploying a probe program in the operating system environment running on the website to obtain a monitoring resource information set in real time; The network environment monitoring includes analyzing the switch mirror traffic at the website export, and real-time monitoring of the total traffic and the traffic associated with the website; the monitored traffic information includes quintuple information and data packet information; The access terminal monitoring includes deploying a probe program on the terminal, regularly testing the network accessibility of the terminal to the website service, and monitoring the resource usage of the terminal itself in real time.

3. The all-factors-based LAN website operation system according to claim 1, It is characterized in that The data analysis module independently analyzes user access behavior data, website operating environment data, network traffic data and terminal access data to obtain the multiple data analysis results.

4. The all-factors-based LAN website operation system according to claim 3, It is characterized in that The user access behavior data is analyzed by user dimension, website dimension and terminal dimension; The user dimension analysis is based on user accounts, including user website preference analysis, user access behavior analysis and user abnormal access analysis; The website dimension analysis is based on the website, including website visit volume and trend analysis, user behavior analysis, content performance analysis and visiting user analysis; The terminal dimension analysis is performed based on the access terminal, including access terminal type analysis, access terminal browser and version analysis.

5. The local area network website operation system based on all elements according to claim 3, It is characterized in that The website operating environment data analysis is performed from the perspective of resource usage. By comprehensively analyzing the operating system, website programs, database programs that the website depends on, middleware programs that the website depends on, and CPU, memory, disk, and network resource usage rates, the overall resource load and bottleneck conditions of the website operating environment are perceived.

6. The all-factors-based LAN website operation system according to claim 3, It is characterized in that The network traffic data includes data analysis from the underlying network communication data. The network traffic analysis analyzes whether there is a bottleneck in the current traffic from the perspective of overall traffic, website traffic, etc., analyzes traffic changes and trends, and uses dynamic baselines, threshold settings, and black and white list technologies to comprehensively judge abnormal network traffic.

7. The all-factors-based LAN website operation system according to claim 3, It is characterized in that The terminal access data includes analysis of the network connectivity of the terminal to the designated service and analysis of the utilization rate of its own resources.

8. A method for operating a local area network website based on all elements, based on the local area network website operating system based on all elements as claimed in any one of claims 1 to 7, It is characterized in that include: The user collects network monitoring data through the monitoring script of the monitoring data collection module, and transmits the network monitoring data back to the data center module; The data center module transmits the network monitoring data to the data analysis module, and performs data analysis on user access behavior data analysis, website visit behavior data analysis, website operation basic environment data analysis, terminal access behavior data analysis and network traffic data analysis to obtain multiple data analysis results; The association analysis module associates the multiple data analysis results, including cross-dimensional data integration and building a multi-dimensional association model; the association analysis module supports an interactive approach, and users can dynamically adjust analysis parameters and dimensions through an interactive interface to meet personalized analysis needs; Cross-dimensional data integration integrates data from websites, users, terminals, servers and other dimensions to ensure the uniqueness, comprehensiveness and integrity of the data; By building a multi-dimensional correlation model and conducting comprehensive analysis of data from various dimensions, comprehensive anomalies of website services can be discovered from the perspective of the entire process and all factors. By deeply analyzing the interactions and impacts between data from various dimensions, such as the relationship between a surge in visit volume and server load, network latency and visit experience, data is provided to administrators to plan website resources, locate and resolve website service anomalies, and optimize website content operations.

9. The method for operating a local area network website based on all elements according to claim 8, It is characterized in that After the association analysis module associates the multiple data analysis results and performs secondary analysis on the associated data in an interactive manner to obtain the final data analysis result, the method further includes: If the final data analysis result triggers the alarm rule, the alarm data module outputs the alarm information; The data report module reports and exports the final data analysis results, and supports user-defined report output; The final data analysis results are visualized by a large-screen display module based on multiple business perspective dimensions; The operation knowledge base module outputs website operation suggestion results based on the final data analysis results.

10. The method for operating a local area network website based on all elements according to claim 8, It is characterized in that The data center module transmits the network monitoring data to the data analysis module, and performs data analysis from the user access behavior data analysis, website visit behavior data analysis, website operation basic environment data analysis, terminal access behavior data analysis and network traffic data analysis to obtain multiple data analysis results, including: From the user's perspective, analyze the user's web page access behavior based on the preference analysis dimension to obtain the user access behavior data analysis results; Analyze the web pages visited by users from the perspective of the website, determine the overall visit situation and user reach rate of different websites, and obtain the data analysis results of website visit behavior; Analyze the basic environment data of the website operation from the perspective of the website operation environment to obtain the analysis results of the basic environment data of the website operation; Analyze terminal access data from the terminal perspective to obtain terminal access behavior data analysis results; Conduct data analysis from the perspective of network traffic and obtain network traffic data analysis results.

Images