WO2021098393A1 - Method and apparatus for intelligent system resource monitoring, electronic device, and storage medium - Google Patents

Abstract

A method for intelligent system resource monitoring, an intelligent system resource monitoring apparatus, and a computer-readable storage medium, which relate to artificial intelligence technology. The method comprises: receiving a system resource, and exporting a resource data set from within the system resource by using a data export component; performing data verification on the resource data set; when the data verification is successful, calling a resource monitoring model to receive the resource data set and performing batch processing on the resource data set; and performing real time analysis and monitoring on the system resource according to the batch processing and a pre-constructed real time resource monitoring script; and if a resource value of the system resource is analyzed to be greater than a preset threshold condition, then triggering the system resource to sound an alarm to complete the monitoring of the system resource. An intelligent system resource monitoring function having a high cost performance may be achieved.

Description

Intelligent system resource monitoring method, device, electronic equipment and storage medium

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on November 19, 2019, the application number is CN201911138085.9, and the invention title is "Intelligent System Resource Monitoring Method, Device, and Computer-readable Storage Medium". The entire content is incorporated into this application by reference.

Technical field

This application relates to the field of artificial intelligence technology, and in particular to an intelligent system resource monitoring method, device, electronic equipment, and storage medium.

Background technique

In order to better understand the operation of the system and prevent accidents during the operation of the system, users usually need to monitor system resources. The current mainstream resource monitoring method is based on network open source monitoring solutions, such as K8S.

technical problem

The inventor realized that because the network open source monitoring solution has poor scalability and the solution uses the server to actively push the monitoring data to read the monitoring data, there is a certain performance pressure on the server.

Technical solutions

This application provides an intelligent system resource monitoring method, device, electronic equipment and storage medium.

An intelligent system resource monitoring method provided by this application includes:

Receiving system resources, and exporting resource data sets from the system resources by using a pre-built data export component;

Establishing an index relationship between the resource data set and the system resource, and performing data verification on the resource data set based on the index relationship;

When the data verification is successful, call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set, and divide the resource data set into multiple batches;

According to the batch and according to the pre-built real-time resource monitoring script, the system resource is analyzed and monitored in real time. If the resource value of the system resource is greater than the preset threshold condition, the system resource alarm is triggered to complete the monitoring of the system resource. Describes the monitoring of system resources.

This application also provides an intelligent system resource monitoring device, which includes:

A data receiving and exporting module for receiving system resources, and exporting resource data sets from the system resources by using a pre-built data exporting component;

An index relationship establishment module, configured to establish an index relationship between the resource data set and the system resource, and perform data verification on the resource data set based on the index relationship;

The data verification module is used to call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set when the data verification is successful, and divide the resource data set into multiple batches Times;

The system resource real-time monitoring module is used to analyze and monitor the system resources in real time according to the batch and according to the pre-built real-time resource monitoring script. If the resource value of the system resource is analyzed to be greater than the preset threshold condition, then The system resource alarm is triggered, and the monitoring of the system resource is completed.

The present application also provides an electronic device that includes a memory and a processor. The memory stores an intelligent system resource monitoring program that can run on the processor. The intelligent system resource monitoring program is controlled by the processor. The following steps are implemented when the processor is executed:

Receiving system resources, and exporting resource data sets from the system resources by using a pre-built data export component;

Establishing an index relationship between the resource data set and the system resource, and performing data verification on the resource data set based on the index relationship;

When the data verification is successful, call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set, and divide the resource data set into multiple batches;

According to the batch and according to the pre-built real-time resource monitoring script, the system resource is analyzed and monitored in real time. If the resource value of the system resource is greater than the preset threshold condition, the system resource alarm is triggered to complete the monitoring of the system resource. Describes the monitoring of system resources.

The present application also provides a computer-readable storage medium having an intelligent system resource monitoring program stored on the computer-readable storage medium, and the intelligent system resource monitoring program can be executed by one or more processors to achieve the following step:

Receiving system resources, and exporting resource data sets from the system resources by using a pre-built data export component;

Establishing an index relationship between the resource data set and the system resource, and performing data verification on the resource data set based on the index relationship;

When the data verification is successful, call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set, and divide the resource data set into multiple batches;

According to the batch and according to the pre-built real-time resource monitoring script, the system resource is analyzed and monitored in real time. If the resource value of the system resource is greater than the preset threshold condition, the system resource alarm is triggered to complete the monitoring of the system resource. Describes the monitoring of system resources.

Description of the drawings

FIG. 1 is a schematic flowchart of an intelligent system resource monitoring method provided by an embodiment of this application;

2 is a schematic diagram of the internal structure of an electronic device provided by an embodiment of the application;

FIG. 3 is a schematic diagram of modules of an intelligent system resource monitoring device provided by an embodiment of the application.

The realization, functional characteristics, and advantages of the purpose of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Embodiments of the present invention

It should be understood that the specific embodiments described here are only used to explain the application, and not used to limit the application.

This application provides an intelligent system resource monitoring method. Referring to FIG. 1, it is a schematic flowchart of an intelligent system resource monitoring method provided by an embodiment of this application. The method can be executed by a device, and the device can be implemented by software and/or hardware.

In this embodiment, the intelligent system resource monitoring method includes:

S1. Receive system resources, and export resource data sets from the system resources by using a pre-built data export component.

Since the application is running in the system, the system must "track" the operation of the application in real time, and retain a lot of related information, such as the status of the cursor and window, etc. This information is retained by the system in a type called Heap ) In the memory block. The heap is a memory block managed by a special mechanism. The heap is divided into two types: the heap managed by a system kernel User.exe of the system is called User Resource Heap, and the heap is managed by another system kernel Gdi. The heap managed by .exe is called the GDI resource heap (Graphical Device Interface Resource Heap), User Resource Heap and GDI Resource Heap are collectively called System Resource Heap (System Resource Heap) Resource Heap). The system resource heap stores various system resources (System Resources) such as CPU data, disk data, IO data, memory data, network data, port survival data, process survival, and/or machine kernel configuration parameter data. Therefore, regardless of the user The scale of the business, the state of the operation and maintenance team, and the system resources exist all the time.

Preferably, the data export component is used to export a resource data set from the system resource to facilitate subsequent resource monitoring of the system resource. The data export component includes: a resource connection module and a management module. There is a communication mechanism between the management module and the resource connection module, which can manage the number, version number, status, etc. of the resource connection module. Therefore, the management module and the resource connection module described in this application are one-to-many relationship.

Specifically, the exporting of the resource data set from the system resource includes: performing a docking operation between the data export component and the system resource; calling a resource connection module in the data export component, through the resource connection module Sending a request instruction; the system resource pile corresponding to the resource connection module for storing the system resource returns the system resource to the resource connection module when receiving the request instruction; management in the data export component The module checks the current status of the resource connection module in real time. If the status of the resource connection module is that the system resource has been received, the management module will send all the resources received by the resource connection module within a preset time period. The system resources of is packaged into a resource data set, and the resource data set is transmitted to the pre-built data transmission model.

Preferably, the docking operation may be based on the tcp protocol (a connection-oriented reliable, byte stream-based transport layer communication protocol) or the rcp protocol (a communication protocol for requesting services from remote computing system programs through the network) A connection channel is established to connect the system resource stack and the resource connection module in the data export component. The resource connection module sends a request instruction, the system resource stack accepts the request instruction, returns system resources to the resource connection module, closes the connection channel, and continues to wait for the next request instruction. The resource connection module described in this application may adopt an Agent module.

Preferably, the management module checks the current status of the resource connection module in real time, and the status includes: the resource connection module has not established a connection relationship with the system resource pile, the resource connection module and the system resource The stack has not established a connection relationship but has not sent a request instruction, the resource connection module has sent a request instruction, and is waiting for a response from the system resource stack, and the resource connection module receives system resource data. Only when the status of the resource connection module is that the system resource has been received, the management module packs all the system resources received by the resource connection module into a resource data set within a preset time period, and The resource data set is transmitted to the pre-built data transmission model, and in other states, the resource connection module is in a waiting state.

S2. Establish an index relationship between the resource data set and the system resource, and perform data verification on the resource data set based on the index relationship.

The preferred embodiment of the present application is based on a pre-built data transmission model. Wherein, the pre-built data transmission model includes: an index establishment module and a data verification module. Preferably, the index establishing module receives the resource data set, establishes an index relationship between the resource data in the resource data set and the system resource pile corresponding to the resource data, and converts the resource based on the index relationship The data set is input to the data verification module to perform a data verification operation.

The index relationship is established to distinguish different resource data in the resource data set. For example, resource data A is indexed with the system resource heap related to the CPU, and resource data B is indexed with the system resource heap related to the network. The relationship, resource data C and the system resource heap of the IO establish an index relationship, etc.

The index relationship may adopt a binary coding method, and the same resource data is the same as the binary code group of the system resource pile. The index building module may adopt a gateway module.

The data verification module executes the data verification operation to ensure that the resource data is accurate when uploaded to the resource monitoring model.

The data check may adopt the principle of divisor and remainder division. For example, the index establishment module has established a binary code group for the resource data in the resource data set according to the binary coding method, so the data check module Divide the binary code group, if it is divided, it means that the transmission is correct; if it is not divided, it means that there is an error in the transmission.

Specifically, because any binary code group can have a one-to-one correspondence with a polynomial whose coefficients are only '0' and '1', for example: the polynomial corresponding to code 1010111 is x6+x4+x2+x+1, polynomial It is the code 101111 corresponding to x5+x3+x2+x+1 and so on. Assuming that the length of the binary code group is N, the information field is K bits, and the check field is R bits (hence: N=K+R), then for any binary code group formed by the resource data set, there is only one R-bit polynomial g(x), so the data verification module verifies the received binary code group through the g(x). For example: the information field code is 1011001, corresponding to m(x)=x6+x4+x3+1, assuming the generator polynomial g(x) is x4+x3+1, then the binary code group corresponding to g(x) is the information field code + Check field, the remainder obtained by polynomial division is: 1010 (that is, the check field is: 1010), based on this, the transmission field sent by the index building module is: 1 0 1 1 0 0 11 0 10; The verification module uses the same generated code for verification, that is, uses the received field/generated code (binary division). If it is divided, it means that the transmission is correct; if it is not divided, it means that there is an error in the transmission (there are multiple reasons for the error) If the resource connection module has sent a request instruction, the resource connection module directly receives the system resource data before waiting for the response of the system resource pile, thus causing resource data overlap; as in the resource data set When an index relationship is established between the resource data in the resource data and the system resource heap corresponding to the resource data, an index relationship establishment error results in the verification failure, etc.), and the resource data set cannot be uploaded to the resource monitoring model.

S3. When the data verification is successful, call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set, and divide the resource data set into multiple batches.

In the embodiment of this application, because the system resources of multiple applications (such as CPU, disk, IO, Load, memory, network, port, process, machine kernel configuration, etc.) need to be monitored, the amount of data in the resource data set is very high. It is huge. If the resource data set is monitored uniformly, a large amount of computing resources will be consumed, and the monitoring delay is high and the cost is high. Therefore, the resource data set needs to be processed in batches.

The batch processing divides the resource data set into multiple batches for subsequent real-time monitoring based on a pre-built batch processing script.

S4. Perform real-time analysis and monitoring of the system resources according to the batch and according to the pre-built real-time resource monitoring script. If the resource value of the system resource is greater than the preset threshold condition, the system resource alarm is triggered to complete Monitoring of the system resources.

The real-time monitoring analyzes the received resource data set based on a pre-selected and constructed real-time resource monitoring script. Specifically, the content of the real-time resource monitoring script includes: reading the IP address information of the local system, acquiring the resource data of the local system CPU from the batch processing script, and grabbing from the resource data of the CPU The total number of CPU cores and the total load value of the local system within a specified minute, and the average load value of a single CPU in the specified minute is calculated based on the total number of CPU cores and the total load value. If the average load value is If it is greater than the preset CPU warning value, send a CPU resource shortage notification; obtain the resource data of the local system disk from the batch processing script, and obtain the disk partition status and the disk of each partition from the resource data of the local system disk Idle capacity, if the disk idle capacity of a partition is less than the preset disk idle capacity, a notification of disk resource shortage is sent; and so on, the real-time resource monitoring script includes monitoring IO, Load, memory, network, port survival, process survival, The monitoring code of the system such as the kernel configuration of the machine.

Further, sending notifications of system resource shortages can adopt notification methods such as email, graphics, and voice. The email notification needs to place an email address in the real-time resource monitoring script in advance, the graphical notification needs to build a graphical user interface in advance, and the voice notification needs to use a hardware device that supports voice transmission.

The application also provides an electronic device. Referring to FIG. 2, it is a schematic diagram of the internal structure of an electronic device provided by an embodiment of this application.

In this embodiment, the electronic device 1 may be a PC (Personal Computer, a personal computer), or a terminal device such as a smart phone, a tablet computer, a portable computer, etc., or a server, etc. The electronic device 1 at least includes a memory 11, a processor 12, a communication bus 13, and a network interface 14.

The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, and the like. The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a hard disk of the electronic device 1. In some other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in hard disk equipped on the electronic device 1, a smart memory card (Smart Media Card, SMC), and a secure digital (Secure Digital). Digital, SD) card, flash memory card (Flash Card) and so on. Further, the memory 11 may also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can be used not only to store application software and various data installed in the electronic device 1, such as the code of the intelligent system resource monitoring program 01, etc., but also to temporarily store data that has been output or will be output.

The processor 12 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor or other data processing chip in some embodiments, and is used to run the program code or processing stored in the memory 11 Data, such as execution of intelligent system resource monitoring program 01, etc.

The communication bus 13 is used to realize the connection and communication between these components.

The network interface 14 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface), and is usually used to establish a communication connection between the electronic device 1 and other electronic devices.

Optionally, the electronic device 1 may further include a user interface. The user interface may include a display (Display) and an input unit such as a keyboard (Keyboard). The optional user interface may also include a standard wired interface and a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display can also be appropriately called a display screen or a display unit, which is used to display the information processed in the electronic device 1 and to display a visualized user interface.

Figure 2 only shows the electronic device 1 with the components 11-14 and the intelligent system resource monitoring program 01. Those skilled in the art can understand that the structure shown in Figure 1 does not constitute a limitation on the electronic device 1. Including fewer or more components than shown, or combining some components, or different component arrangements.

In the embodiment of the electronic device 1 shown in FIG. 2, an intelligent system resource monitoring program 01 is stored in the memory 11; when the processor 12 executes the intelligent system resource monitoring program 01 stored in the memory 11, the following steps are implemented:

Step 1: Receive system resources, and use pre-built data export components to export resource data sets from the system resources.

Since the application is running in the system, the system must "track" the operation of the application in real time, and retain a lot of related information, such as the status of the cursor and window, etc. This information is retained by the system in a type called Heap ) In the memory block. The heap is a memory block managed by a special mechanism. The heap is divided into two types: the heap managed by a system kernel User.exe of the system is called User Resource Heap, and the heap is managed by another system kernel Gdi. The heap managed by .exe is called the GDI resource heap (Graphical Device Interface Resource Heap), User Resource Heap and GDI Resource Heap are collectively called System Resource Heap (System Resource Heap) Resource Heap). The system resource heap stores various system resources (System Resources) such as CPU data, disk data, IO data, memory data, network data, port survival data, process survival, and/or machine kernel configuration parameter data. Therefore, regardless of the user The scale of the business, the state of the operation and maintenance team, and the system resources exist all the time.

Preferably, the data export component is used to export a resource data set from the system resource to facilitate subsequent resource monitoring of the system resource. The data export component includes: a resource connection module and a management module. There is a communication mechanism between the management module and the resource connection module, which can manage the number, version number, status, etc. of the resource connection module. Therefore, the management module and the resource connection module described in this application are one-to-many relationship.

Specifically, the exporting of the resource data set from the system resource includes: performing a docking operation between the data export component and the system resource; calling a resource connection module in the data export component, through the resource connection module Sending a request instruction; the system resource pile corresponding to the resource connection module for storing the system resource returns the system resource to the resource connection module when receiving the request instruction; management in the data export component The module checks the current status of the resource connection module in real time. If the status of the resource connection module is that the system resource has been received, the management module will send all the resources received by the resource connection module within a preset time period. The system resources of is packaged into a resource data set, and the resource data set is transmitted to the pre-built data transmission model.

Preferably, the docking operation may be based on the tcp protocol (a connection-oriented reliable, byte stream-based transport layer communication protocol) or the rcp protocol (a communication protocol for requesting services from remote computing system programs through the network) A connection channel is established to connect the system resource stack and the resource connection module in the data export component. The resource connection module sends a request instruction, the system resource stack accepts the request instruction, returns system resources to the resource connection module, closes the connection channel, and continues to wait for the next request instruction. The resource connection module described in this application may adopt an Agent module.

Preferably, the management module checks the current status of the resource connection module in real time, and the status includes: the resource connection module has not established a connection relationship with the system resource pile, the resource connection module and the system resource The stack has not established a connection relationship but has not sent a request instruction, the resource connection module has sent a request instruction, and is waiting for a response from the system resource stack, and the resource connection module receives system resource data. Only when the status of the resource connection module is that the system resource has been received, the management module packs all the system resources received by the resource connection module into a resource data set within a preset time period, and The resource data set is transmitted to the pre-built data transmission model, and in other states, the resource connection module is in a waiting state.

Step 2: Establish an index relationship between the resource data set and the system resource, and perform data verification on the resource data set based on the index relationship.

The preferred embodiment of the present application is based on a pre-built data transmission model based on a pre-built data transmission model. Wherein, the pre-built data transmission model includes: an index establishment module and a data verification module. Preferably, the index establishing module receives the resource data set, establishes an index relationship between the resource data in the resource data set and the system resource pile corresponding to the resource data, and converts the resource based on the index relationship The data set is input to the data verification module to perform a data verification operation.

The index relationship is established to distinguish different resource data in the resource data set. For example, resource data A is indexed with the system resource heap related to the CPU, and resource data B is indexed with the system resource heap related to the network. The relationship, resource data C and the system resource heap of the IO establish an index relationship, etc.

The index relationship may adopt a binary coding method, and the same resource data is the same as the binary code group of the system resource pile. The index building module may adopt a gateway module.

The data verification module executes the data verification operation to ensure that the resource data is accurate when uploaded to the resource monitoring model.

The data check may adopt the principle of divisor and remainder division. For example, the index establishment module has established a binary code group for the resource data in the resource data set according to the binary coding method, so the data check module Divide the binary code group, if it is divided, it means that the transmission is correct; if it is not divided, it means that there is an error in the transmission.

Specifically, because any binary code group can have a one-to-one correspondence with a polynomial whose coefficients are only '0' and '1', for example: the polynomial corresponding to code 1010111 is x6+x4+x2+x+1, polynomial It is the code 101111 corresponding to x5+x3+x2+x+1 and so on. Assuming that the length of the binary code group is N, the information field is K bits, and the check field is R bits (hence: N=K+R), then for any binary code group formed by the resource data set, there is only one R-bit polynomial g(x), so the data verification module verifies the received binary code group through the g(x). For example: the information field code is 1011001, corresponding to m(x)=x6+x4+x3+1, assuming the generator polynomial g(x) is x4+x3+1, then the binary code group corresponding to g(x) is the information field code + Check field, the remainder obtained by polynomial division is: 1010 (that is, the check field is: 1010), based on this, the transmission field sent by the index building module is: 1 0 1 1 0 0 11 0 10; The verification module uses the same generated code for verification, that is, uses the received field/generated code (binary division). If it is divided, it means that the transmission is correct; if it is not divided, it means that there is an error in the transmission (there are multiple reasons for the error) If the resource connection module has sent a request instruction, the resource connection module directly receives the system resource data before waiting for the response of the system resource pile, thus causing resource data overlap; as in the resource data set When an index relationship is established between the resource data in the resource data and the system resource heap corresponding to the resource data, an index relationship establishment error results in the verification failure, etc.), and the resource data set cannot be uploaded to the resource monitoring model.

Step 3: When the data verification is successful, call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set, and divide the resource data set into multiple batches.

In the embodiment of this application, because the system resources of multiple applications (such as CPU, disk, IO, Load, memory, network, port, process, machine kernel configuration, etc.) need to be monitored, the amount of data in the resource data set is very high. It is huge. If the resource data set is monitored uniformly, a large amount of computing resources will be consumed, and the monitoring delay is high and the cost is high. Therefore, the resource data set needs to be processed in batches.

The batch processing divides the resource data set into multiple batches for subsequent real-time monitoring based on a pre-built batch processing script.

Step 4. Perform real-time analysis and monitoring of the system resources according to the batch and the pre-built real-time resource monitoring script. If the resource value of the system resource is analyzed to be greater than a preset threshold condition, a system resource alarm is triggered. Complete the monitoring of the system resources.

The real-time monitoring analyzes the received resource data set based on a pre-selected and constructed real-time resource monitoring script. Specifically, the content of the real-time resource monitoring script includes: reading the IP address information of the local system, acquiring the resource data of the local system CPU from the batch processing script, and grabbing from the resource data of the CPU The total number of CPU cores and the total load value of the local system within a specified minute, and the average load value of a single CPU in the specified minute is calculated based on the total number of CPU cores and the total load value. If the average load value is If it is greater than the preset CPU warning value, send a CPU resource shortage notification; obtain the resource data of the local system disk from the batch processing script, and obtain the disk partition status and the disk of each partition from the resource data of the local system disk Idle capacity, if the disk idle capacity of a partition is less than the preset disk idle capacity, a notification of disk resource shortage is sent; and so on, the real-time resource monitoring script includes monitoring IO, Load, memory, network, port survival, process survival, The monitoring code of the system such as the kernel configuration of the machine.

Further, sending notifications of system resource shortages can adopt notification methods such as email, graphics, and voice. The email notification needs to place an email address in the real-time resource monitoring script in advance, the graphical notification needs to build a graphical user interface in advance, and the voice notification needs to use a hardware device that supports voice transmission.

3, which is a schematic diagram of modules of an embodiment of an intelligent system resource monitoring device of this application. In this embodiment, the intelligent system resource monitoring device includes a data receiving and exporting module 10, an index relationship establishing module 20, and data The verification module 30 and the system resource real-time monitoring module 40 are exemplary:

The data receiving and exporting module 10 is configured to receive system resources, and use a pre-built data export component to export resource data sets from the system resources.

The index relationship establishment module 20 is configured to establish an index relationship between the resource data set and the system resource, and perform data verification on the resource data set based on the index relationship.

The data verification module 30 is configured to: when the data verification is successful, call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set, and divide the resource data set into Multiple batches.

The system resource real-time monitoring module 40 is configured to: perform real-time analysis and monitoring of the system resources according to the batch and according to a pre-built real-time resource monitoring script, and if it is analyzed that the resource value of the system resource is greater than a preset threshold condition When the time, the system resource alarm is triggered, and the monitoring of the system resource is completed.

The functions or operation steps implemented by the above-mentioned data receiving and exporting module 10, indexing relationship establishing module 20, data checking module 30, system resource real-time monitoring module 40 and other modules when executed are substantially the same as those in the above-mentioned embodiment, and will not be repeated here. .

In addition, the embodiment of the present application also proposes a computer-readable storage medium. The computer-readable storage medium may be non-volatile or volatile. The computer-readable storage medium stores intelligent system resources. Monitoring program, the intelligent system resource monitoring program can be executed by one or more processors to achieve the following operations:

Receiving system resources, and exporting resource data sets from the system resources by using a pre-built data export component;

Establishing an index relationship between the resource data set and the system resource, and performing data verification on the resource data set based on the index relationship;

When the data verification is successful, call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set, and divide the resource data set into multiple batches;

According to the batch and according to the pre-built real-time resource monitoring script, the system resource is analyzed and monitored in real time. If the resource value of the system resource is greater than the preset threshold condition, the system resource alarm is triggered to complete the monitoring of the system resource. Describes the monitoring of system resources.

The specific implementation of the computer-readable storage medium of the present application is basically the same as the foregoing embodiments of the intelligent system resource monitoring device and method, and will not be repeated here.

It should be noted that the serial numbers of the foregoing embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments. And the terms "include", "include" or any other variants thereof in this article are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements not only includes those elements, but also includes those elements that are not explicitly included. The other elements listed may also include elements inherent to the process, device, article, or method. Without more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, device, article, or method that includes the element.

Through the description of the above implementation manners, those skilled in the art can clearly understand that the above-mentioned embodiment method can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is better.的实施方式。 Based on this understanding, the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM) as described above. , Magnetic disks, optical disks), including several instructions to make a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) execute the method described in each embodiment of the present application.

The above are only the preferred embodiments of the application, and do not limit the scope of the patent for this application. Any equivalent structure or equivalent process transformation made using the content of the description and drawings of the application, or directly or indirectly applied to other related technical fields , The same reason is included in the scope of patent protection of this application.

Claims (20)

1. An intelligent system resource monitoring method, wherein the method includes:

   Receiving system resources, and exporting resource data sets from the system resources by using a pre-built data export component;

   Establishing an index relationship between the resource data set and the system resource, and performing data verification on the resource data set based on the index relationship;

   When the data verification is successful, call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set, and divide the resource data set into multiple batches;

   According to the batch and according to the pre-built real-time resource monitoring script, the system resource is analyzed and monitored in real time. If the resource value of the system resource is greater than the preset threshold condition, the system resource alarm is triggered to complete the monitoring of the system resource. Describes the monitoring of system resources.
2. The intelligent system resource monitoring method of claim 1, wherein the system resources include CPU data, disk data, IO data, memory data, network data, port survival data, process survival and/or machine kernel configuration parameter data One or more of them.
3. The intelligent system resource monitoring method according to claim 1 or 2, wherein the using a pre-built data export component to export a resource data set from the system resource includes:

   Performing a docking operation between the data export component and the system resource;

   Call the resource connection module in the data export component, and send a request instruction through the resource connection module;

   When the system resource stack corresponding to the resource connection module for storing the system resource receives the request instruction, returning the system resource to the resource connection module;

   The management module in the data export component checks the current status of the resource connection module in real time. If the status of the resource connection module is that the system resource has been received, the management module will all The system resources received by the resource connection module are packaged into the resource data set.
4. The intelligent system resource monitoring method according to claim 3, wherein the real-time analysis and monitoring of the system resources according to the batch and a pre-built real-time resource monitoring script includes:

   Read the IP address information of the local system, and obtain the resource data of the CPU of the local system according to the batch processing;

   Grab the total number of CPU cores and the total load value within a specified minute of the local system from the resource data of the CPU;

   Calculate the average load value of a single CPU in the specified minute based on the total number of cores of the CPU and the total load value, and if the average load value is greater than a preset CPU warning value, send a CPU resource shortage notification;

   Acquiring the resource data of the local system disk from the batch processing;

   Obtain disk partition status and disk free capacity of each partition from the resource data of the local system disk;

   If the free disk capacity of any partition is less than the preset free disk capacity, a notification of disk resource shortage will be sent.
5. The intelligent system resource monitoring method according to claim 3, wherein said establishing an index relationship between the resource data set and the system resource comprises:

   An index relationship is established between the resource data set and the system resource heap corresponding to the system resource based on the binary coding method.
6. The intelligent system resource monitoring method according to claim 3, wherein the data export component comprises: a resource connection module and a management module, and there is a communication mechanism between the management module and the resource connection module, and the management module It is used to manage the quantity, version number, and status of the resource connection module.
7. 7. The intelligent system resource monitoring method according to claim 6, wherein the management module and the resource connection module are a relationship of one management module to multiple resource connection modules.
8. An intelligent system resource monitoring device, wherein the device includes:

   A data receiving and exporting module for receiving system resources, and exporting resource data sets from the system resources by using a pre-built data exporting component;

   An index relationship establishment module, configured to establish an index relationship between the resource data set and the system resource, and perform data verification on the resource data set based on the index relationship;

   The data verification module is used to call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set when the data verification is successful, and divide the resource data set into multiple batches Times;

   The system resource real-time monitoring module is used to analyze and monitor the system resources in real time according to the batch and according to the pre-built real-time resource monitoring script. If the resource value of the system resource is analyzed to be greater than the preset threshold condition, then The system resource alarm is triggered, and the monitoring of the system resource is completed.
9. An electronic device, wherein the electronic device includes a memory and a processor, the memory stores an intelligent system resource monitoring program that can run on the processor, and the intelligent system resource monitoring program is When the processor executes, the following steps are implemented:

   Receiving system resources, and exporting resource data sets from the system resources by using a pre-built data export component;

   Establishing an index relationship between the resource data set and the system resource, and performing data verification on the resource data set based on the index relationship;

   When the data verification is successful, call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set, and divide the resource data set into multiple batches;

   According to the batch and according to the pre-built real-time resource monitoring script, the system resource is analyzed and monitored in real time. If the resource value of the system resource is greater than the preset threshold condition, the system resource alarm is triggered to complete the monitoring of the system resource. Describes the monitoring of system resources.
10. The electronic device according to claim 9, wherein the system resource includes one of CPU data, disk data, IO data, memory data, network data, port survival data, process survival and/or machine kernel configuration parameter data Or several.
11. The electronic device according to claim 9 or 10, wherein said using a pre-built data export component to export a resource data set from the system resource comprises:

    Performing a docking operation between the data export component and the system resource;

    Call the resource connection module in the data export component, and send a request instruction through the resource connection module;

    When the system resource stack corresponding to the resource connection module for storing the system resource receives the request instruction, returning the system resource to the resource connection module;

    The management module in the data export component checks the current status of the resource connection module in real time. If the status of the resource connection module is that the system resource has been received, the management module will all The system resources received by the resource connection module are packaged into the resource data set.
12. The electronic device according to claim 11, wherein said establishing an index relationship between said resource data set and said system resource comprises:

    An index relationship is established between the resource data set and the system resource heap corresponding to the system resource based on the binary coding method.
13. The electronic device according to claim 11, wherein said performing real-time analysis and monitoring of said system resources according to said batch and according to a pre-built real-time resource monitoring script comprises:

    Read the IP address information of the local system, and obtain the resource data of the CPU of the local system according to the batch processing;

    Grab the total number of CPU cores and the total load value within a specified minute of the local system from the resource data of the CPU;

    Calculate the average load value of a single CPU in the specified minute based on the total number of cores of the CPU and the total load value, and if the average load value is greater than a preset CPU warning value, send a CPU resource shortage notification;

    Acquiring the resource data of the local system disk from the batch processing;

    Obtain disk partition status and disk free capacity of each partition from the resource data of the local system disk;

    If the free disk capacity of any partition is less than the preset free disk capacity, a notification of disk resource shortage will be sent.
14. The electronic device according to claim 11, wherein the data export component comprises: a resource connection module and a management module, the management module and the resource connection module have a communication mechanism, and the management module is used to manage the State the number, version number, and status of the resource connection module.
15. A computer-readable storage medium, wherein an intelligent system resource monitoring program is stored on the computer-readable storage medium, and the intelligent system resource monitoring program can be executed by one or more processors to achieve the following step:

    Receiving system resources, and exporting resource data sets from the system resources by using a pre-built data export component;

    Establishing an index relationship between the resource data set and the system resource, and performing data verification on the resource data set based on the index relationship;

    When the data verification is successful, call the resource monitoring model to receive the resource data set and perform batch processing on the resource data set, and divide the resource data set into multiple batches;

    According to the batch and according to the pre-built real-time resource monitoring script, the system resource is analyzed and monitored in real time. If the resource value of the system resource is greater than the preset threshold condition, the system resource alarm is triggered to complete the monitoring of the system resource. Describes the monitoring of system resources.
16. The computer-readable storage medium of claim 15, wherein the system resources include CPU data, disk data, IO data, memory data, network data, port survival data, process survival and/or machine kernel configuration parameter data. One or more of them.
17. 15. The computer-readable storage medium according to claim 15 or 16, wherein said exporting a resource data set from said system resource using a pre-built data exporting component comprises:

    Performing a docking operation between the data export component and the system resource;

    Call the resource connection module in the data export component, and send a request instruction through the resource connection module;

    When the system resource stack corresponding to the resource connection module for storing the system resource receives the request instruction, returning the system resource to the resource connection module;

    The management module in the data export component checks the current status of the resource connection module in real time. If the status of the resource connection module is that the system resource has been received, the management module will all The system resources received by the resource connection module are packaged into the resource data set.
18. 17. The computer-readable storage medium according to claim 17, wherein the real-time analysis and monitoring of the system resources in accordance with the batch and according to a pre-built real-time resource monitoring script comprises:

    Read the IP address information of the local system, and obtain the resource data of the CPU of the local system according to the batch processing;

    Grab the total number of CPU cores and the total load value within a specified minute of the local system from the resource data of the CPU;

    Calculate the average load value of a single CPU in the specified minute based on the total number of cores of the CPU and the total load value, and if the average load value is greater than a preset CPU warning value, send a CPU resource shortage notification;

    Acquiring the resource data of the local system disk from the batch processing;

    Obtain disk partition status and disk free capacity of each partition from the resource data of the local system disk;

    If the free disk capacity of any partition is less than the preset free disk capacity, a notification of disk resource shortage will be sent.
19. 17. The computer-readable storage medium of claim 17, wherein said establishing an index relationship between the resource data set and the system resource comprises:

    An index relationship is established between the resource data set and the system resource heap corresponding to the system resource based on the binary coding method.
20. The computer-readable storage medium according to claim 17, wherein the data export component comprises: a resource connection module and a management module, and there is a communication mechanism between the management module and the resource connection module, and the management module uses To manage the number, version number, and status of the resource connection module.