Operation and maintenance monitoring reconstruction method, system and equipment based on virtualization scene, and medium

Abstract

The invention relates to the technical field of virtualized operation and maintenance monitoring, and discloses an operation and maintenance monitoring reconstruction method, system, device and medium based on a virtualized scene, the method comprises the following steps: collecting monitoring index data in the virtualized scene, and analyzing the relevance among the monitoring index data; based on user historical behavior information in the monitoring index data, completing training of a behavior prediction model; in response to an interaction operation of a user, predicting an interaction intention of the user by using the prediction model; and dynamically adjusting operation and maintenance monitoring object elements based on the user interaction intention and the relevance. According to the scheme, the interaction intention of the user is predicted in advance for the interaction operation of the user through the artificial intelligence technology, dynamic adjustment of the operation and maintenance monitoring object elements is completed in combination with the relevance between the monitoring index data, and the analysis and integration efficiency of data in virtualization scene operation and maintenance monitoring reconstruction is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of virtualized operation and maintenance monitoring, and in particular to a method, device, equipment, and medium for reconstructing operation and maintenance monitoring based on a virtualized scenario. Background Art

[0002] With the rapid development of the Internet, enterprises of all scales are facing challenges in the operation and maintenance management of complex IT systems. To improve operation and maintenance efficiency and reduce operation and maintenance risks, more and more enterprises are starting to use operation and maintenance dashboards as important management tools. The operation and maintenance monitoring dashboard has significant advantages in aspects such as real-time monitoring, alarm notification, operation and maintenance management, data analysis, and device dashboards. The operation and maintenance dashboard can display the data of various key indicators of the system in real time, such as the device location distribution, operating status, working parameters, etc., and display them through visual data reports or curve charts, which is convenient for quickly viewing and locating problems; by displaying various data of the device on the dashboard and performing intelligent analysis, it helps operation and maintenance personnel understand the performance and trends of the system, so as to optimize and improve it and make reasonable decisions.

[0003] With the development of virtualized cloud platforms and the expansion of customer application scales, the number of virtual machines / endpoints that need to be managed by the cloud platform is in the hundreds or thousands. The increasingly growing operation and maintenance management of virtual devices and large-scale data analysis pose challenges to the real-time indicator display and data analysis efficiency of the operation and maintenance dashboard. And as the number of virtual machine / endpoint devices increases, the real-time feedback of the monitoring status of each device's operation becomes worse, and as the operation and maintenance monitoring data increases, the analysis and integration efficiency of data in the reconstruction of virtualized scenario operation and maintenance monitoring decreases accordingly. Summary of the Invention

[0004] In view of this, the present invention provides a method, device, equipment, and medium for reconstructing operation and maintenance monitoring based on a virtualized scenario to solve the technical problem of low analysis and integration efficiency of data in the reconstruction of virtualized scenario operation and maintenance monitoring.

[0005] In a first aspect, the present invention provides a method for reconstructing operation and maintenance monitoring based on a virtualized scenario. The method includes: collecting monitoring indicator data in the virtualized scenario and analyzing the correlation between the monitoring indicator data; completing the training of a behavior prediction model based on the user historical behavior information in the monitoring indicator data; in response to a user's interaction operation, using the behavior prediction model to predict the user's interaction intention; and dynamically adjusting the operation and maintenance monitoring object elements based on the user's interaction intention and the correlation.

[0006] In combination with the first aspect, in a possible implementation manner of the first aspect, monitor metric data in a virtualization scenario is collected and the correlation between the monitor metric data is analyzed, including: collecting monitor metric data in the virtualization scenario, where the monitor metric data includes status information, intermediate data information, user historical behavior information, and log files; comparing the influence of the status information, intermediate data information, and user historical behavior information on the log files; and determining the correlation between the monitor metric data based on the difference in influence.

[0007] In combination with the first aspect, in a possible implementation manner of the first aspect, based on the user interaction intention and the correlation, the operation and maintenance monitoring object elements are dynamically adjusted, including: determining an operation and maintenance monitoring object corresponding to the user interaction intention based on the user interaction intention; determining operation and maintenance monitoring object elements corresponding to the operation and maintenance monitoring object based on the monitor metric data and the correlation corresponding to the operation and maintenance monitoring object, and dynamically adjusting the data presentation corresponding to the operation and maintenance monitoring object elements.

[0008] In combination with the first aspect, in a possible implementation manner of the first aspect, it further includes: increasing the computing resource allocation to the corresponding operation and maintenance monitoring object elements based on the adjustment of the operation and maintenance monitoring object elements.

[0009] In a second aspect, the present invention provides a reconstruction device for operation and maintenance monitoring based on a virtualization scenario. The device includes: a collection and analysis module for collecting monitor metric data in the virtualization scenario and analyzing the correlation between the monitor metric data; a training module for completing the training of a behavior prediction model based on the user historical behavior information in the monitor metric data; a prediction module for predicting the user interaction intention by using the behavior prediction model in response to the user's interaction operation; and an adjustment module for dynamically adjusting the operation and maintenance monitoring object elements based on the user interaction intention and the correlation.

[0010] In combination with the second aspect, in a possible implementation manner of the second aspect, the collection and analysis module includes: a collection unit for collecting monitor metric data in the virtualization scenario, where the monitor metric data includes status information, intermediate data information, user historical behavior information, and log files; a comparison unit for comparing the influence of the status information, intermediate data information, and user historical behavior information on the log files; and a correlation determination unit for determining the correlation between the monitor metric data based on the difference in influence.

[0011] In combination with the second aspect, in a possible implementation manner of the second aspect, the adjustment module includes: an operation and maintenance monitoring object determination unit for determining an operation and maintenance monitoring object corresponding to the user interaction intention based on the user interaction intention; and a dynamic adjustment unit for determining operation and maintenance monitoring object elements corresponding to the operation and maintenance monitoring object based on the monitor metric data and the correlation corresponding to the operation and maintenance monitoring object, and dynamically adjusting the data presentation corresponding to the operation and maintenance monitoring object elements.

[0012] In combination with the second aspect, in a possible implementation manner of the second aspect, the system further includes: an optimization unit, configured to increase the allocation of computing resources to the corresponding operation and maintenance monitoring object elements based on the adjustment of the operation and maintenance monitoring object elements.

[0013] In a third aspect, the present invention provides a computer device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the operation and maintenance monitoring reconstruction method based on the virtualization scenario in the first aspect or any corresponding implementation manner thereof.

[0014] In a fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored. The computer instructions are used to cause a computer to execute the operation and maintenance monitoring reconstruction method based on the virtualization scenario in the first aspect or any corresponding implementation manner thereof.

[0015] The technical solution of the present invention has the following advantages: The operation and maintenance monitoring reconstruction method, device, equipment, and medium based on the virtualization scenario provided by the present invention complete the training of the behavior prediction model through the user's historical behavior information, and use the behavior prediction model to predict the user's interaction intention, so as to dynamically adjust the operation and maintenance monitoring object elements by using the correlation between the determined detection index data. In this process, the training of the behavior prediction model is completed through the user's historical behavior information, so that the behavior prediction model can accurately predict the user's interaction intention, thereby determining the adjustment basis for the reconstruction of the operation and maintenance monitoring, and combining the correlation between the detection index data to clarify the data presentation corresponding to the operation and maintenance monitoring object elements related to the user's interaction intention, so as to adjust the operation and maintenance monitoring data of the virtualization scenario based on the user's interaction operation, and further improve the analysis and integration efficiency of the data in the reconstruction of the operation and maintenance monitoring of the virtualization scenario. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific implementation manners of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the specific implementation manners or the description of the prior art. Obviously, the drawings in the following description are some implementation manners of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0017] Figure 1 is a flowchart of an operation and maintenance monitoring reconstruction method based on a virtualization scenario provided by an embodiment of the present invention; Figure 2 is a structural block diagram of an operation and maintenance monitoring reconstruction device based on a virtualization scenario provided by an embodiment of the present invention; Figure 3 It is a schematic diagram of the hardware structure of the computer device according to an embodiment of the present invention. Specific embodiments

[0018] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] According to an embodiment of the present invention, an embodiment of a method for reconstructing operation and maintenance monitoring based on a virtualization scenario is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0020] This embodiment provides a method for reconstructing operation and maintenance monitoring based on a virtualization scenario, as Figure 1 shown, the method includes the following steps: S101. Collect monitoring index data in the virtualization scenario and analyze the correlation between the monitoring index data.

[0021] Specifically, the monitoring index data includes: status information, intermediate data information, user historical behavior information, and log files, etc. Among them, the status information includes: server hardware operation status, operating system operation status, and storage device status. The intermediate data information includes: database data, middleware data, and WEB application data. The user historical behavior information refers to the user's common operation habits or user historical operation data. The log file refers to the log file on the server, such as the log file corresponding to the middleware, etc.

[0022] Specifically, analyzing the correlation between the monitoring index data means determining the correlation between the monitoring index data by comparing the influence of the status information, intermediate data information, and user historical behavior information on the log file and using the difference in the influence.

[0023] S102. Complete the training of the behavior prediction model based on the user historical behavior information in the monitoring index data.

[0024] Specifically, the behavior prediction model can be a neural network, a decision tree, etc. Combining context awareness technology, the user's context information, such as time, location, device, current task, etc., is incorporated into the processing process, so as to more accurately understand the user's needs and intentions through context awareness technology.

[0025] Specifically, completing the training of the behavior prediction model based on the user historical behavior information in the monitoring index data means inputting the user historical behavior information into the behavior prediction model. When the loss function of the prediction model meets the expectation or the number of cyclic iterations reaches the maximum value, the training of the behavior prediction model is completed after the model converges.

[0026] S103. In response to the user's interaction operation, use the behavior prediction model to predict the user's interaction intention.

[0027] Specifically, in response to the user's interaction operation, using the behavior prediction model to predict the user's interaction intention means taking the user's interaction operation as the input, inputting it into the trained behavior prediction model, and outputting the user's interaction intention.

[0028] S104. Dynamically adjust the operation and maintenance monitoring object elements based on the user's interaction intention and relevance.

[0029] Specifically, dynamically adjusting the operation and maintenance monitoring object elements based on the user's interaction intention and relevance means, through the user's interaction intention, clarifying the operation and maintenance monitoring objects that need to be adjusted, and using the relevance between the monitoring index data to clarify the monitoring index data corresponding to the operation and maintenance monitoring objects, so as to complete the corresponding data presentation by dynamically adjusting the operation and maintenance monitoring object elements.

[0030] The present invention provides a method, device, equipment, and medium for reconstructing operation and maintenance monitoring based on a virtualization scenario. This method completes the training of the behavior prediction model through the user historical behavior information, and uses the behavior prediction model to predict the user's interaction intention, thereby dynamically adjusting the operation and maintenance monitoring object elements by using the relevance between the determined detection index data. In this process, the training of the behavior prediction model is completed through the user historical behavior information, enabling the behavior prediction model to accurately predict the user's interaction intention, thereby determining the adjustment basis for the reconstruction of operation and maintenance monitoring, and combining the relevance between the detection index data to clarify the data presentation corresponding to the operation and maintenance monitoring object elements related to the user's interaction intention, so as to adjust the operation and maintenance monitoring data of the virtualization scenario based on the user's interaction operation, and further improve the analysis and integration efficiency of the data in the reconstruction of operation and maintenance monitoring in the virtualization scenario.

[0031] In an alternative embodiment, collecting the monitoring index data in the virtualization scenario and analyzing the relevance between the monitoring index data includes: Collect the monitoring index data in the virtualization scenario, where the monitoring index data includes status information, intermediate data information, user historical behavior information, and log files; compare the influence of the status information, intermediate data information, and user historical behavior information on the log files; and determine the relevance between the monitoring index data based on the difference in influence.

[0032] Specifically, the status information includes: the running status of server hardware, the running status of the operating system, and the status of storage devices. The intermediate data information includes: database data, middleware data, and WEB application data. The user historical behavior information refers to the user's common operation habits or the user's historical operation data. The log file refers to the log file on the server, such as the log file corresponding to the middleware, etc.

[0033] Specifically, the intermediate data information can reflect the correlation between indicators. For example, by subscribing to database data through the middleware, the status of the storage device and the WEB application data can be changed. The middleware can be MQ, kafka, redis, etc., and this embodiment does not make specific limitations on this.

[0034] Specifically, comparing the influence of the status information, the intermediate data information, and the user historical behavior information on the log file means comparing the differences in the log file between the same or different indicators and the differences in data presentation in the virtualization scenario, so as to determine the influence on the log file. For example, comparing the difference between the first log file for reading the a1 data in database a and the second log file for reading the a2 data in database a, and at the same time determining the differences in data presentation in the virtualization scenario, such as the changes in the dashboard graph, pie chart, and bar chart in the virtualization scenario when reading a1 data and a2 data.

[0035] Specifically, determining the correlation between the monitoring indicator data based on the difference in influence means clarifying the influencing factors between the monitoring indicator data by comparing the influence between the same or different indicators. For example, the change of indicator b will affect indicator c.

[0036] In an alternative implementation, based on the user interaction intention and the correlation, the operation and maintenance monitoring object elements are dynamically adjusted, including: Based on the user interaction intention, determine the operation and maintenance monitoring object corresponding to the user interaction intention; based on the monitoring indicator data corresponding to the operation and maintenance monitoring object and the correlation, determine the operation and maintenance monitoring object elements corresponding to the operation and maintenance monitoring object, and dynamically adjust the data presentation corresponding to the operation and maintenance monitoring object elements.

[0037] Specifically, determining the operation and maintenance monitoring object corresponding to the user interaction intention based on the user interaction intention means determining the monitoring indicator data that the user wants to adjust or view according to the predicted user interaction intention. For example, if the user's interaction intention is to view the maintenance information, the monitoring indicator data corresponding to the maintenance information can be data maintenance information and device maintenance information.

[0038] Specifically, based on the monitoring index data and relevance corresponding to the operation and maintenance monitoring object, determining the operation and maintenance monitoring object elements corresponding to the operation and maintenance monitoring object, and dynamically adjusting the data presentation corresponding to the operation and maintenance monitoring object elements means determining the operation and maintenance monitoring object elements associated with the operation and maintenance monitoring object through the clear operation and maintenance monitoring object and relevance, and presenting the relevant data content through the way of dynamically adjusting the displayed data. Among them, the way of dynamically adjusting the data display can be that if it is predicted that the user is about to view the status of a virtual device, the color of the device icon will become brighter and more prominent, and the data to be displayed will be prepared before the user's actual operation. When the actual user behavior occurs, it can be presented immediately. It involves behavior trees and state machines, and artificial intelligence algorithms, including reinforcement learning, genetic algorithms, etc., which are used to optimize the behavior strategies of the large-screen operation and maintenance monitoring objects to make them more intelligent and adaptive. Behavior trees and state machines are used to define the behavior logic and state transitions of the large-screen operation and maintenance monitoring objects to achieve complex interactive behaviors.

[0039] In an alternative embodiment, the method further includes: Based on the adjustment of the operation and maintenance monitoring object elements, increase the allocation of computing resources to the corresponding operation and maintenance monitoring object elements.

[0040] Specifically, based on the adjustment of the operation and maintenance monitoring object elements, increasing the allocation of computing resources to the corresponding operation and maintenance monitoring object elements means that while dynamically adjusting the operation and maintenance monitoring object elements, the corresponding performance is optimized. For example: dynamically adjusting the rendering speed, resource occupancy, and possible network bandwidth requirements. Resource occupancy includes: memory, CPU usage, etc. Among them, it involves resource management technology and network transmission optimization. Resource management technology refers to dynamically adjusting the allocation of computing resources, such as CPU, memory, GPU, etc., according to the complexity of the virtual environment and user requirements. Network transmission optimization refers to reducing network latency and data transmission volume by optimizing network transmission protocols and data compression technologies in a distributed virtual environment.

[0041] In this embodiment, a reconstruction device for operation and maintenance monitoring based on a virtualization scenario is further provided. This device is used to implement the above-mentioned embodiments and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the term "module" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0042] This embodiment provides a reconstruction device for operation and maintenance monitoring based on a virtualization scenario, as Figure 2 shown, including: The collection and analysis module 201 is used to collect the monitoring index data in the virtualization scenario and analyze the correlation between the monitoring index data. For the specific process, reference can be made to the relevant description of step S101 in the above embodiment, which will not be elaborated here.

[0043] The training module 202 is used to complete the training of the behavior prediction model based on the user historical behavior information in the monitoring index data. For the specific process, reference can be made to the relevant description of step S102 in the above embodiment, which will not be elaborated here.

[0044] The prediction module 203 is used to predict the user interaction intention by using the behavior prediction model in response to the user's interaction operation. For the specific process, reference can be made to the relevant description of step S103 in the above embodiment, which will not be elaborated here.

[0045] The adjustment module 204 is used to dynamically adjust the operation and maintenance monitoring object elements based on the user interaction intention and the correlation. For the specific process, reference can be made to the relevant description of step S104 in the above embodiment, which will not be elaborated here.

[0046] The present invention provides a method, device, equipment, and medium for reconstructing operation and maintenance monitoring based on a virtualization scenario. The system completes the training of the behavior prediction model through the user historical behavior information, and uses the behavior prediction model to predict the user interaction intention, so as to dynamically adjust the operation and maintenance monitoring object elements by using the determined correlation between the detection index data. In this process, the training of the behavior prediction model is completed through the user historical behavior information, so that the behavior prediction model can accurately predict the user interaction intention, thereby determining the adjustment basis for the reconstruction of operation and maintenance monitoring, and combining the correlation between the detection index data to clarify the data presentation corresponding to the operation and maintenance monitoring object elements related to the user interaction intention, so as to adjust the operation and maintenance monitoring data of the virtualization scenario based on the user's interaction operation, and further improve the analysis and integration efficiency of the data in the reconstruction of operation and maintenance monitoring of the virtualization scenario.

[0047] In an alternative embodiment, the collection and analysis module includes: A collection unit for collecting the monitoring index data in the virtualization scenario, where the monitoring index data includes status information, intermediate data information, user historical behavior information, and log files; a comparison unit for comparing the influence of the status information, intermediate data information, and user historical behavior information on the log files; a correlation determination unit for determining the correlation between the monitoring index data based on the difference in influence. For the specific process, reference can be made to the relevant description in the above embodiment, which will not be elaborated here.

[0048] In an alternative embodiment, the adjustment module includes: An operation and maintenance monitoring object determination unit, configured to determine an operation and maintenance monitoring object corresponding to a user interaction intention based on the user interaction intention; a dynamic adjustment unit, configured to determine operation and maintenance monitoring object elements corresponding to the operation and maintenance monitoring object based on the monitoring index data and relevance corresponding to the operation and maintenance monitoring object, and dynamically adjust the data presentation corresponding to the operation and maintenance monitoring object elements. For the specific process, reference may be made to the relevant descriptions in the foregoing embodiments, which will not be elaborated herein.

[0049] In an alternative embodiment, the system further includes: An optimization unit, configured to increase the computing resource allocation to the corresponding operation and maintenance monitoring object elements based on the adjustment of the operation and maintenance monitoring object elements. For the specific process, reference may be made to the relevant descriptions in the foregoing embodiments, which will not be elaborated herein.

[0050] The operation and maintenance monitoring reconstruction device based on the virtualization scenario in this embodiment is presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0051] An embodiment of the present invention further provides a computer device having the above Figure 2 shown operation and maintenance monitoring reconstruction device based on the virtualization scenario.

[0052] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of a computer device provided by an alternative embodiment of the present invention. As Figure 3 shown, the computer device includes: one or more processors 301, a memory 302, and interfaces for connecting various components, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common main board or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (such as a server array, a set of blade servers, or a multi-processor system). Figure 3 In

[0053] The processor 301 can be a central processing unit, a network processor, or a combination thereof. Among them, the processor 301 can further include a hardware chip. The above-mentioned hardware chip can be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The above-mentioned programmable logic device can be a complex programmable logic device, a field-programmable gate array, a generic array logic, or any combination thereof.

[0054] Among them, the memory 302 stores instructions executable by at least one processor 301, so that the at least one processor 301 executes the method shown in the above embodiments.

[0055] The memory 302 can include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the computer device, etc. In addition, the memory 302 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 302 can optionally include a memory remotely provided with respect to the processor 301, and these remote memories can be connected to the computer device through a network. Examples of the above-mentioned network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0056] The memory 302 can include a volatile memory, for example, a random access memory; the memory can also include a non-volatile memory, for example, a flash memory, a hard disk, or a solid-state drive; the memory 302 can also include a combination of the above types of memories. The computer device further includes a communication interface 303 for the computer device to communicate with other devices or communication networks.

[0057] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented as computer code originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processed on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiments is implemented.

[0058] Although embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A method for reconstructing operation and maintenance monitoring based on virtualization scenarios, characterized in that: The method comprises: Collect monitoring indicator data in the virtualization scenario and analyze the correlation between the monitoring indicator data; Based on the user's historical behavior information in the monitoring indicator data, complete the training of the behavior prediction model; In response to the user's interactive operation, predicting the user's interactive intention using the behavior prediction model; Based on the user interaction intention and the correlation, the operation and maintenance monitoring object elements are dynamically adjusted.

2. The method according to claim 1, characterized in that The collecting of monitoring indicator data in the virtualization scenario and analyzing the correlation between the monitoring indicator data include: Collect monitoring indicator data in virtualization scenarios, the monitoring indicator data including status information, intermediate data information, user historical behavior information and log files; Compare the impact of the state information, the intermediate data information and the user historical behavior information on the log file; Based on the differences in the impacts, the correlation between the monitoring indicator data is determined.

3. The method according to claim 1, characterized in that The dynamically adjusting the operation and maintenance monitoring object elements based on the user interaction intention and the correlation includes: Based on the user interaction intention, determining an operation and maintenance monitoring object corresponding to the user interaction intention; Based on the monitoring indicator data corresponding to the operation and maintenance monitoring object and the correlation, the operation and maintenance monitoring object element corresponding to the operation and maintenance monitoring object is determined, and the data presentation corresponding to the operation and maintenance monitoring object element is dynamically adjusted.

4. The method according to claim 3, characterized in that The method further comprises: Based on the adjustment of the operation and maintenance monitoring object element, the computing resources corresponding to the operation and maintenance monitoring object element are increased and allocated.

5. A virtualization scenario-based operation, maintenance, monitoring and reconstruction system, characterized in that: The device comprises: A collection and analysis module, used to collect monitoring indicator data in a virtualization scenario and analyze the correlation between the monitoring indicator data; A training module, used to complete the training of the behavior prediction model based on the user historical behavior information in the monitoring indicator data; A prediction module, used to predict the user's interaction intention by using the behavior prediction model in response to the user's interaction operation; The adjustment module is used to dynamically adjust the operation and maintenance monitoring object elements based on the user interaction intention and the correlation.

6. The system according to claim 5, characterized in that The collection and analysis module comprises: A collecting unit, used to collect monitoring indicator data in a virtualization scenario, wherein the monitoring indicator data includes status information, intermediate data information, user historical behavior information, and log files; A comparison unit, used for comparing the influence of the state information, the intermediate data information and the user historical behavior information on the log file; The correlation determination unit is used to determine the correlation between the monitoring indicator data based on the difference of the impact.

7. The system according to claim 5, characterized in that The adjustment module comprises: An operation and maintenance monitoring object determining unit, configured to determine an operation and maintenance monitoring object corresponding to the user interaction intention based on the user interaction intention; A dynamic adjustment unit is used to determine the operation and maintenance monitoring object element corresponding to the operation and maintenance monitoring object based on the monitoring indicator data corresponding to the operation and maintenance monitoring object and the correlation, and dynamically adjust the data presentation corresponding to the operation and maintenance monitoring object element.

8. The system according to claim 7, characterized in that The system further comprises: The optimization unit is used to increase the allocation of computing resources corresponding to the operation and maintenance monitoring object elements based on the adjustment of the operation and maintenance monitoring object elements.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the virtualization scenario operation and maintenance monitoring reconstruction method according to any one of claims 1 to 4 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the virtualization scenario-based operation and maintenance monitoring and reconstruction method according to any one of claims 1 to 4.

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