CN115883400A

CN115883400A - Network monitoring method, device and storage medium

Info

Publication number: CN115883400A
Application number: CN202211407699.4A
Authority: CN
Inventors: 武成洁; 王光全; 王泽林; 郑滟雷; 韩博文; 朱琳
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2022-11-10
Filing date: 2022-11-10
Publication date: 2023-03-31
Anticipated expiration: 2042-11-10
Also published as: CN115883400B

Abstract

The application provides a network monitoring method, a network monitoring device and a storage medium, relates to the technical field of communication, and is used for solving the technical problem of how to monitor the network performance in a cloud network integrated architecture. The method comprises the following steps: receiving a network monitoring request; the network monitoring request is used for requesting to monitor a target node in a target network; the target network includes: at least one of a virtual cloud node and an entity device node; a cloud probe is deployed on the virtual cloud node; the entity equipment node is provided with an entity probe; the target node comprises a virtual cloud node; acquiring network performance parameters of a target node based on a target probe deployed on the target node; determining a network monitoring result of a target node according to the network performance parameters; the network monitoring result is used for indicating the network state of the target node. The method and the device can improve the accuracy of network monitoring.

Description

Network monitoring method, device and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a network monitoring method, apparatus, and storage medium.

Background

With the development of cloud technology, the traditional communication network is gradually clouded, and the cloud network integrated network architecture is gradually matured. A cloud network integration architecture generally includes physical cloud network boundary core nodes and virtual core clouds, edge clouds, and public clouds.

In order to ensure the working performance of the cloud network integrated architecture, the network performance in the cloud network integrated architecture needs to be reasonably monitored.

Disclosure of Invention

The application provides a network monitoring method, a network monitoring device and a storage medium, which are used for solving the technical problem of reasonably monitoring the network performance in a cloud network integrated architecture.

In order to achieve the purpose, the following technical scheme is adopted in the application:

in a first aspect, a network monitoring method is provided, including: receiving a network monitoring request; the network monitoring request is used for requesting to monitor a target node in a target network; the target network includes: at least one of a virtual cloud node and an entity device node; a cloud probe is deployed on the virtual cloud node; the entity equipment node is provided with an entity probe; the target node comprises a virtual cloud node; acquiring network performance parameters of a target node based on a target probe deployed on the target node; determining a network monitoring result of a target node according to the network performance parameters; the network monitoring result is used for indicating the network state of the target node.

Optionally, the network monitoring request includes a test program identifier; the test program identifies the test program used to represent the deployment in the target probe.

Optionally, determining an initial test protocol corresponding to the test program identifier, and configuring parameter information of the initial test protocol to obtain a target test protocol; sending a target test protocol to a target node; the target test protocol is used for indicating the target node in the target probe, and executing a test program based on the target test protocol to obtain the network performance parameters of the target node.

Optionally, when the network performance parameter is greater than the threshold, determining that the network monitoring result of the target node is: determining a sub-network to which the target node belongs as a fault network; the sub-network is a regional network in the target network; the regional network is a network corresponding to a preset network region to which the target node belongs; or when the network performance parameter is less than or equal to the threshold, determining that the network monitoring result of the target node is: and determining the sub-network to which the target node belongs as a non-failure network.

Optionally, the network monitoring method further includes: acquiring network performance parameters of each node in a fault network; and determining the fault node according to the network performance parameters of each node.

Optionally, at the test time corresponding to the test time information, the network performance parameter of the target node is obtained based on the target probe deployed on the target node.

In a second aspect, a network monitoring device is provided, which includes: the device comprises a receiving unit, an obtaining unit and a processing unit; a receiving unit, configured to receive a network monitoring request; the network monitoring request is used for requesting to monitor a target node in a target network; the target network includes: at least one of a virtual cloud node and an entity device node; a cloud probe is deployed on the virtual cloud node; the entity equipment node is provided with an entity probe; the target node comprises a virtual cloud node; the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring network performance parameters of a target node based on a target probe deployed on the target node; the processing unit is used for determining a network monitoring result of the target node according to the network performance parameters; the network monitoring result is used for indicating the network state of the target node.

Optionally, the obtaining unit is configured to: determining an initial test protocol corresponding to the test program identification, and configuring parameter information of the initial test protocol to obtain a target test protocol; sending a target test protocol to a target node; the target test protocol is used for indicating the target node in the target probe, and executing a test program based on the target test protocol to obtain the network performance parameters of the target node.

Optionally, the processing unit is configured to: when the network performance parameter is larger than the threshold value, determining that the network monitoring result of the target node is as follows: determining a sub-network to which the target node belongs as a fault network; the sub-network is a regional network in the target network; the regional network is a network corresponding to a preset network region to which the target node belongs; or when the network performance parameter is less than or equal to the threshold, determining that the network monitoring result of the target node is: and determining the sub-network to which the target node belongs as a non-failure network.

Optionally, the obtaining unit is further configured to obtain a network performance parameter of each node in the failure network; and the processing unit is also used for determining the fault node according to the network performance parameters of each node.

Optionally, the network monitoring request includes: testing time information; the test time information comprises a test period or a preset test moment; an acquisition unit configured to: and acquiring the network performance parameters of the target node at the test time corresponding to the test time information based on the target probe deployed on the target node.

In a third aspect, a network monitoring device is provided, which includes a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; when the network monitoring device is running, the processor executes the computer execution instructions stored in the memory to make the network monitoring device execute the network monitoring method according to the first aspect.

The network monitoring device may be a network device, or may be a part of a device in the network device, such as a system on chip in the network device. The chip system is configured to support the network device to implement the functions involved in the first aspect and any one of the possible implementations thereof, for example, to acquire, determine, and send data and/or information involved in the above network monitoring method. The chip system includes a chip and may also include other discrete devices or circuit structures.

In a fourth aspect, a computer-readable storage medium is provided, which includes computer-executable instructions that, when executed on a computer, cause the computer to perform the network monitoring method of the first aspect.

In a fifth aspect, there is also provided a computer program product comprising computer instructions which, when run on a network monitoring device, cause the network monitoring device to perform the network monitoring method as described in the first aspect above.

It should be noted that all or part of the above computer instructions may be stored on the first computer readable storage medium. The first computer readable storage medium may be packaged with the processor of the network monitoring device, or may be packaged separately from the processor of the network monitoring device, which is not limited in this application.

For the description of the second, third, fourth and fifth aspects in this application, reference may be made to the detailed description of the first aspect; in addition, for the beneficial effects of the second aspect, the third aspect, the fourth aspect and the fifth aspect, reference may be made to the beneficial effect analysis of the first aspect, and details are not repeated here.

In the present application, the names of the above network monitoring devices do not limit the devices or functional modules themselves, and in practical implementations, the devices or functional modules may be presented by other names. As long as the functions of the respective devices or functional modules are similar to those of the present application, they fall within the scope of the claims of the present application and their equivalents.

These and other aspects of the present application will be more readily apparent from the following description.

The technical scheme provided by the application at least brings the following beneficial effects:

based on any of the above aspects, the present application provides a network monitoring method, where after receiving a network monitoring request for requesting a network monitoring result of a target node in a target network, an electronic device may obtain a network performance parameter of the target node based on a target probe deployed on the target node, and perform network monitoring on the target node according to the network performance parameter.

Since the target node is an arbitrary node in the target network, and the target network includes: the electronic equipment can acquire the network performance parameters of each node through the probe corresponding to each node, and then can accurately and effectively monitor the network of the target network through the network performance parameters of each node.

Drawings

Fig. 1 is a schematic structural diagram of a network monitoring system according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a network monitoring system according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of a network monitoring system according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a network monitoring system according to an embodiment of the present application;

fig. 5 is a schematic hardware structure diagram of a network monitoring apparatus according to an embodiment of the present application;

fig. 6 is a schematic diagram of another hardware structure of a network monitoring device according to an embodiment of the present disclosure;

fig. 7 is a schematic flowchart of a network monitoring method according to an embodiment of the present application;

fig. 8 is a schematic flowchart of another network monitoring method according to an embodiment of the present application;

fig. 9 is a schematic flowchart of another network monitoring method according to an embodiment of the present application;

fig. 10 is a schematic flowchart of another network monitoring method according to an embodiment of the present application;

fig. 11 is a schematic flowchart of another network monitoring method according to an embodiment of the present application;

fig. 12 is a schematic structural diagram of a network monitoring device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.

It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

For the convenience of clearly describing the technical solutions of the embodiments of the present application, in the embodiments of the present application, the terms "first" and "second" are used to distinguish the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the terms "first" and "second" are not used to limit the quantity and execution order.

Before describing the network monitoring method provided by the application in detail, the application scenario and the implementation environment related to the application are briefly described.

As described in the background, in order to ensure the working performance of the cloud network integrated architecture, it is necessary to reasonably monitor the network performance in the cloud network integrated architecture.

In order to solve the above problem, an embodiment of the present application provides a network monitoring method, where after receiving a network monitoring request for requesting a network monitoring result of a target node in a target network, an electronic device may obtain a network performance parameter of the target node based on a target probe deployed on the target node, and perform network monitoring on the target node according to the network performance parameter.

Since the target node is an arbitrary node in the target network, and the target network includes: the electronic device can acquire the network performance parameters of each node through the probe corresponding to each node, and then can accurately and effectively perform network monitoring on a target network through the network performance parameters of each node.

In an implementation manner, the network monitoring method is suitable for a network monitoring system. Fig. 1 shows one structure of the network monitoring system. As shown in fig. 1, the network monitoring system includes: the system comprises an electronic device 101, a target network 102, a first cloud node 103, a first entity node 104, a cloud probe 105 disposed at the first cloud node 103, and an entity probe 106 disposed at the first entity node 104.

The electronic device 101 is configured to perform management and control operations such as network monitoring, fault location, network resource planning, and the like on each node of the target network 102. The first cloud node 103 is any cloud node in the target network 102. The first entity node 104 is any entity node in the target network 102.

In practical applications, the target network 102 may include a plurality of virtual cloud nodes or entity device nodes, and the number of the virtual cloud nodes or the entity device nodes in the target network 102 is not limited in the embodiments of the present application. For convenience of understanding, the present application takes as an example that the virtual cloud node in the target network includes the first cloud node 103 or the entity device node includes the first entity node 104.

Alternatively, the target network 102 may be a data center-oriented cloud-interconnected network. The nodes in the cloud interconnection network are all virtual cloud nodes. The virtual cloud node may be a gateway or a router between data centers, or an edge router of each data center, and the cloud probe may be a software program installed in the virtual cloud node. Large enterprises usually have branches in various regions, different branches have their own data centers, and cross-data center business such as large games, stock trading has a high bandwidth consumption and a very strict requirement on time delay. However, traffic uncertainty is easily caused by burstiness and imbalance of inter-data center traffic, such as internet hot spot traffic and random migration of inter-data center data. These all result in traffic imbalance or local link congestion, which results in low average utilization of links throughout the network. Based on this, the electronic device can perform network monitoring, fault location, network resource planning and other management and control operations on the interconnected network among the data centers and the internal network of each data center.

Optionally, the target network 102 may also be a converged bearer network oriented to a computer network, the virtual cloud node may be a node in a core cloud, an edge cloud, or a public cloud of an enterprise, the entity device node may be a cloud network boundary core node, the cloud probe may be a software program installed in the virtual cloud node, and the entity probe may be an entity detector installed in the entity device node. The computational power network is an intelligent novel network integrating calculation, storage and resource transmission, and special equipment in the original communication network is realized by adopting a server + storage + data center network. The network-computing integrated converged bearer network can effectively manage computing resources, storage resources and network resources from different chip frames in a data center, realize unified management of computing power and decentralized computing power transaction, and construct a unified service platform.

Alternatively, the cloud probe 105 may also be referred to as a clouded probe 105.

As shown in fig. 1, the electronic device 101 may obtain the network performance parameters of the first cloud node 103 from the cloud probe 105 of the target network, and may also obtain the network performance parameters of the first entity node 104 from the entity probe 106. Then, the electronic device 101 performs management and control operations such as network monitoring, fault location, network resource planning and the like on the first cloud node 103 and the first entity node 104 of the target network 102 according to the network performance parameters.

The electronic device 101 may be a server or a terminal, which is not limited in this embodiment of the present application.

Alternatively, the terminal may be a device providing voice and/or data connectivity to a user, a handheld device having wireless connectivity, or other processing device connected to a wireless modem. A wireless terminal may communicate with one or more core networks via a Radio Access Network (RAN). The wireless terminals may be mobile terminals such as mobile phones (or "cellular" phones) and computers with mobile terminals, as well as portable, pocket, hand-held, computer-included, or vehicle-mounted mobile devices that exchange language and/or data with a radio access network, such as cell phones, tablets, laptops, netbooks, personal Digital Assistants (PDAs).

Optionally, the server may be one server in a server cluster (composed of multiple servers), a chip in the server, or a system on chip in the server, or may be implemented by a Virtual Machine (VM) deployed on a physical machine, which is not limited in this embodiment of the present application.

In one implementation, in conjunction with fig. 1, as shown in fig. 2, the electronic device 101 may include a cloud network end-to-end orchestration server 201 and a probe management server 202.

The probe management server 202 may obtain a network performance parameter of each node in the target network 102 based on the probe deployed on each node, and send the obtained network performance parameter to the cloud network end-to-end arrangement server 201 through the uplink interface. The cloud network end-to-end arrangement server 201 may send a test task to the probe management server 202 through a downlink interface, and may also perform management and control operations such as network monitoring, fault location, network resource planning, and the like on the target network 102 based on the obtained network performance parameters.

Specifically, the probe management server 202 may be a comprehensive management platform for providing a complete set of test probe management, test task management, test result management, test data collection and integration, and uploading to the cloud network end-to-end orchestration server 201. The cloud network end-to-end arrangement server 201 may comprehensively analyze and monitor the overall network performance of the target network through the network performance parameters reported by the probe management server 202.

Alternatively, the probe management server 202 may obtain the network performance parameters of each node in the target network 102 based on a Service Level Agreement (SLA) test solution 203.

Optionally, the uplink interface may also be referred to as a northbound interface.

Optionally, the uplink interface may be a presentation layer state transfer application programming interface (REST API) or other multiple uplink interfaces that interface with the third-party system.

The probe management server 202 may build and execute SLA testing solutions. The SLA testing solution is used for performing management and control operations such as network monitoring, fault location, network resource planning, etc. on the target network 102.

The SLA testing solution may be a testing program executed in the target probe based on a target testing protocol in this application embodiment.

Specifically, a test program for acquiring network performance parameters is deployed in the target probe, and the test program corresponds to an initial test protocol. The probe management server 202 may configure parameter information of the initial test protocol after receiving the network monitoring request sent by the target node, obtain the target test protocol, and send the target test protocol to the target node. After the target node receives the target test protocol, the target node may execute a test program based on the target test protocol in the target probe to obtain the network performance parameter of the target node.

For example, as shown in fig. 2, the cloud network end-to-end orchestration server 201 may issue a test task to the probe management server 202 through a downlink interface.

Assume that the test tasks are: the TWAMP test procedure is executed based on a two-way active measurement protocol (TWAMP), so as to monitor network performance parameters of the nodes 1 and 2 in the network 1.

After receiving the test task, the probe management server 202 may construct a corresponding SLA test solution according to the test task. Next, the probe management server 202 may execute the SLA testing solution, and obtain that the network performance parameter of the node 1 in the network 1 is 0.01s, and the network performance parameter of the node 2 is 0.02s.

Then, the probe management server 202 sends the network performance parameter 0.01s of the node 1 in the network 1 and the network performance parameter 0.02s of the node 2 to the cloud network end-to-end arrangement server 201 through an uplink interface.

In an implementation manner, after the probe management server 202 constructs the corresponding SLA testing solution, the SLA testing solution may be synchronized with the cloud network end-to-end orchestration server 201. The cloud network end-to-end orchestration server 201 may provide activated functions and deactivated functions.

Wherein the activated function is used to instruct the probe management server 202 to start executing the SLA testing solution.

The deactivate function is used to instruct the probe management server 202 to cancel execution of the SLA testing solution.

In another implementation manner, as shown in fig. 3 in conjunction with fig. 2, the target network 102 may include: an Optical Transport Network (OTN) network 307, an Internet Protocol (IP) network 308, and a Passive Optical Network (PON) 309.

The cloud network end-to-end arrangement server 201 can perform management and control operations such as network monitoring, fault location, network resource planning and the like on the target network 102 through the management and control server.

For example, as shown in fig. 3, the cloud network end-to-end orchestration server 201 may perform management and control operations such as network monitoring, fault location, network resource planning, etc. on the OTN network 307 through the management and control server 304. The management and control server 305 performs management and control operations such as network monitoring, fault location, network resource planning and the like on the IP network 308. The management and control server 306 performs management and control operations such as network monitoring, fault location, network resource planning and the like on the PON network 309.

The cloud network end-to-end orchestration server 201 may also issue test tasks to the probe management server 202. The probe management server 202 may issue a test request to the probe 303 according to the test task. The probes 303 may execute a test program according to the test request.

In yet another implementation manner, as shown in fig. 4 in conjunction with fig. 2, the target network 102 may include a physical network 401 and a virtual network 402.

The cloud network end-to-end arrangement server 201 can realize the function of the control management layer 403 through the measurement data of the entity probe and the cloud probe.

Optionally, the entity probe may monitor entity device nodes in the physical network 401, and the cloud probe may monitor virtual cloud nodes in the virtual network 402.

Optionally, the control management layer 403 may automatically help the user collect measurement data in the cloud probe and the entity probe through a Simple Network Management Protocol (SNMP) or a remote network sensing technology (telemetrology), and implement service arrangement, service management, and service guarantee for the network according to the measurement data.

Illustratively, as shown in fig. 4, the physical network 401 includes four parts, namely, a fifth generation mobile communication technology (5 g) forward/forward, a metropolitan access, a metropolitan aggregation, a metropolitan core, and a long distance backbone, where each part includes a large number of entity devices, such as routers, hosts, and switches, and meanwhile, the entity devices are all deployed with entity probes. The virtual network 402 comprises three parts, namely an edge data center, a regional data center and a core data center, wherein each part comprises a large number of virtual devices such as core clouds, hybrid clouds and public clouds of enterprises, and meanwhile, the virtual devices are all deployed with cloud probes. The control management layer 403 can provide three functions of service orchestration, service management, and service provisioning, wherein the service provisioning can perform specific functions of real-time sensing and learning, correlation root cause analysis, quality prediction, and the like.

The basic hardware structure of the electronic device 101 in the network monitoring system includes elements included in the communication apparatus shown in fig. 5 or fig. 6. The hardware configuration of the electronic device will be described below by taking the communication apparatus shown in fig. 5 and 6 as an example.

Fig. 5 is a schematic diagram of a hardware structure of a communication device according to an embodiment of the present disclosure. The communication device comprises a processor 51, a memory 52, a communication interface 53, a bus 54. The processor 51, memory 52 and communication interface 53 may be connected by a bus 54.

The processor 51 is a control center of the communication apparatus, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 51 may be a Central Processing Unit (CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.

For one embodiment, processor 51 may include one or more CPUs, such as CPU 0 and CPU 1 shown in FIG. 5.

The memory 52 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

In one possible implementation, the memory 52 may exist separately from the processor 51, and the memory 52 may be connected to the processor 51 through a bus 54 for storing instructions or program codes. The processor 51, when calling and executing the instructions or program codes stored in the memory 52, can implement the network monitoring method provided by the following embodiments of the present application.

In the embodiment of the present application, the software programs stored in the memory 52 are different for the electronic devices, so the functions implemented by the electronic devices are different. The functions performed by the devices will be described in connection with the following flow charts.

In another possible implementation, the memory 52 may also be integrated with the processor 51.

The communication interface 53 is used for connecting the communication device with other devices through a communication network, which may be an ethernet, a radio access network, a Wireless Local Area Network (WLAN), or the like. The communication interface 53 may include a receiving unit for receiving data, and a transmitting unit for transmitting data.

The bus 54 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but that does not indicate only one bus or one type of bus.

Fig. 6 shows another hardware configuration of the communication apparatus in the embodiment of the present application. As shown in fig. 6, the communication device may include a processor 61 and a communication interface 62. The processor 61 is coupled to the communication interface 62.

The function of the processor 61 may refer to the description of the processor 51 above. The processor 61 also has a memory function and can function as the memory 52.

The communication interface 62 is used to provide data to the processor 61. The communication interface 62 may be an internal interface of the communication device, or may be an external interface (corresponding to the communication interface 53) of the communication device.

It is noted that the configuration shown in fig. 5 (or fig. 6) does not constitute a limitation of the communication apparatus, and the communication apparatus may include more or less components than those shown in fig. 5 (or fig. 6), or combine some components, or a different arrangement of components, in addition to the components shown in fig. 5 (or fig. 6).

The following describes a network monitoring method provided in an embodiment of the present application in detail with reference to the accompanying drawings.

As shown in fig. 7, a network monitoring method provided in the embodiment of the present application is applied to an electronic device in a network monitoring system shown in fig. 1, and the network monitoring method includes: S701-S703.

S701, the electronic equipment receives a network monitoring request.

The network monitoring request is used for requesting to monitor a target node in a target network. The target network includes: at least one of a virtual cloud node and an entity device node. And cloud probes are deployed on the virtual cloud nodes. And a physical probe is deployed on the physical equipment node. The target node comprises a virtual cloud node.

Specifically, in order to ensure the working performance of the cloud network integrated architecture, the network monitoring request device may send a network monitoring request to the electronic device. Accordingly, the electronic device may receive a network monitoring request.

The network monitoring request device may be a server corresponding to the target network, or may be a device interacting with the user.

In an implementation manner, when the network monitoring request device is a server corresponding to the target network, the server corresponding to the target network may send a network monitoring request to the electronic device in order to guarantee the working performance of the target network.

Optionally, the target node further includes an entity device node.

Optionally, with reference to fig. 1, the server corresponding to the target network may be a management server corresponding to a cloud interconnection network, or may be a management server corresponding to a convergence bearer network.

In another implementation manner, when the network monitoring request device is a device interacting with a user, the user may execute the network monitoring request instruction on the network monitoring request device according to the network monitoring requirement. Accordingly, the network monitoring request device may send a network monitoring request to the electronic device in response to a network monitoring request instruction executed by the user.

S702, the electronic equipment acquires network performance parameters of the target node based on the target probe deployed on the target node.

Specifically, after receiving the network monitoring request, the electronic device may obtain the network performance parameter of the target node, so as to implement network monitoring on the target node.

When the target node is an entity equipment node, the target probe is an entity probe; when the target node is a virtual cloud node, the target probe is a cloud probe.

Optionally, with the development of network technology, the target probe may also be a probe in another form, which is not limited in this application.

Alternatively, the network performance parameter may be an actual performance value of the target node.

In an implementation manner, when the electronic device obtains the network performance parameter of the target node, the electronic device may determine the test program that the target probe needs to execute according to the identification information of the test program in the network monitoring request.

The identification information is a test program identification. The test program identification is used to represent the test program deployed in the target probe. The electronic device may execute a test program to obtain network performance parameters.

Specifically, a test program for acquiring network performance parameters is deployed in the target probe, and the test program corresponds to an initial test protocol. The electronic device may configure parameter information of the initial test protocol after receiving the network monitoring request sent by the target node, so as to obtain the target test protocol. The electronic device then sends the target test protocol to the target node. After receiving the target test protocol, the target node may execute a test program based on the target test protocol in the target probe to obtain a network performance parameter of the target node.

Optionally, the network performance parameter may be one or more of a minimum round-trip delay, a maximum round-trip delay, a round-trip average delay, a round-trip packet loss number, a minimum delay from the sending end to the reflection end, a maximum delay from the sending end to the reflection end, an average delay from the sending end to the reflection end, a minimum jitter from the sending end to the reflection end, a maximum jitter from the sending end to the reflection end, an average jitter from the sending end to the reflection end, and a data flow rate.

Referring to fig. 4, when the target node is a node in the virtual network 402, the round trip delay refers to the round trip time of data transmission between the target node and other nodes in the virtual network 402. Jitter refers to the round-trip delay that is different each time the target node transmits data to other nodes in virtual network 402. The target node may be a reflection end, and other nodes in the virtual network 402 may be sending ends.

S703, the electronic device determines a network monitoring result of the target node according to the network performance parameter.

And the network monitoring result is used for indicating the network state of the target node.

For example, the network status may indicate that the status of the target node is faulty or non-faulty.

Specifically, after the network performance parameters of the target node are obtained, the electronic device may determine the network monitoring result of the target node according to the network performance parameters.

In an implementation manner, the electronic device may determine the network monitoring result of the target node by comparing the network performance parameter with a threshold value.

Optionally, the threshold may be set according to a user requirement, and a specific numerical value of the threshold is not limited in this embodiment of the application.

Alternatively, the threshold may also be referred to as an alarm threshold.

In one implementation, when the network monitoring result is that the network performance parameter is greater than a threshold value, the electronic device determines that the sub-network to which the target node belongs is a faulty network. Correspondingly, when the network performance parameter is smaller than or equal to the threshold value as a network monitoring result, the electronic device determines that the sub-network to which the target node belongs is a non-failure network.

Optionally, when the sub-network to which the target node belongs is a failure network, an alarm is triggered, and the electronic device sends an alarm prompt message to the user.

In this way, the electronic device can implement alarm management by sending alarm prompt information to the user.

Optionally, the alert prompt message may include: identification information of the target node, network performance parameters and alarm triggering time.

Illustratively, assume that the network performance parameter 1 of the target node 1 is 0.02s and the threshold is 0.01s. The electronic device may determine that the network performance parameter 1 of the target node 1 is greater than a threshold value, and determine the sub-network to which the target node 1 belongs as a faulty network.

As yet another example, assume that the network performance parameter 2 of the target node 2 is 0.01s and the threshold is 0.02s. The electronic device may determine that the network performance parameter 2 of the target node 2 is less than a threshold and determine the sub-network to which the target node 2 belongs as a non-failing network.

In yet another implementation, when the network performance parameter is one-way delay or round-trip delay, and the network monitoring result is that the network performance parameter is greater than a threshold, the network failure may be caused by a busy network (e.g., a large amount of traffic carried by the target node). In this case, the electronic device may acquire the network performance parameter of each node in the sub-network to which the target node belongs, and compare the network performance parameter of each node with the threshold value. After determining the nodes with the network performance parameters smaller than the threshold value, the electronic device allocates part of or all of the network resources of the nodes to the target node.

Illustratively, assume that the network performance parameter 1 of the target node 1 is 0.05s, the network performance parameter 2 of the node 2 in the sub-network to which the target node 1 belongs is 0.01s, the network performance parameter 3 of the node 3 in the sub-network to which the target node 1 belongs is 0.04s, and the threshold is 0.03s. The electronic equipment determines that the network performance parameter 1 of the target node 1 and the network performance parameter 3 of the node 3 are greater than a threshold value, and the network performance parameter 2 of the node 2 is smaller than the threshold value. The electronic device then allocates a portion of the network resources of node 2 to target node 1 and target node 3.

In this case, the electronic device may obtain the network performance parameters of the target node according to the test program identifier and the target probe deployed on the target node. Therefore, referring to fig. 7 and as shown in fig. 8, in the above S702, the method for acquiring, by an electronic device, a network performance parameter of a target node based on a target probe deployed on the target node specifically includes: S801-S802.

S801, the electronic device determines an initial test protocol corresponding to the test program identification, and configures parameter information of the initial test protocol to obtain a target test protocol.

Specifically, in order to obtain the network performance parameters of the target node, the electronic device needs to determine a target test protocol first.

In an implementation manner, after determining the test program that needs to be executed by the target probe, the electronic device may determine, according to the test program identifier, an initial test protocol corresponding to the test program identifier. Then, the electronic device may configure parameter information of the initial test protocol, and determine the initial test protocol configured with the parameter information as a target test protocol.

Alternatively, the test program may be one or more of TWAMP, packet internet explorer (PING), hypertext transfer protocol (HTTP) test, transmission Control Protocol (TCP) test, user datagram protocol response protocol (UDP Echo) test, domain Name System (DNS) test, and the like.

Alternatively, the test program may also be referred to as a test capability set.

Alternatively, TWAMP may measure round-trip IP performance between any two devices (the reflective end and the transmitting end) in the network that support TWAMP testing.

Optionally, the IP performance may include delay, jitter, and packet loss.

Alternatively, TWAMP includes both Full (Full) and light (light) test modes.

For example, assume that the test procedure is TWAMP. The electronic device determines that the target probe needs to execute TWAMP, and determines that main test parameters in the parameter information of the initial test protocol that needs to be configured are as shown in table 1 below.

TABLE 1

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The delay parameters in the parameter information of the initial test protocol determined by the electronic device to be configured are shown in table 2 below.

TABLE 2

Parameter name	Description of parameters	Unit of parameter
			Low percentile	Setting round trip delay low percentile	/
High percentile	Setting round trip delay high percentile	/
			Unidirectional time delay measurement display method	Method for setting one-way time delay measurement display	/

The IP parameters in the parameter information of the initial test protocol determined by the electronic device to be configured are shown in table 3 below.

TABLE 3

The network availability parameters in the parameter information of the initial test protocol determined by the electronic device to be configured are shown in table 4 below.

TABLE 4

Parameter name	Description of parameters	Unit of parameter
			Critical error packet loss threshold	Setting a critical error packet loss threshold	/
Reporting link unavailability period	Selecting whether to report a link unavailability period	/

The key test indicator parameters in the parameter information of the initial test protocol determined by the electronic device to be configured are shown in table 5 below.

TABLE 5

Then, the electronic device determines the initial test protocol configured with the parameter information as a target test protocol.

S802, the electronic equipment sends a target testing protocol to the target node.

The target test protocol is used for indicating the target node in the target probe, and executing a test program based on the target test protocol to obtain the network performance parameter of the target node.

Specifically, after the target test protocol is determined, the electronic device needs to acquire network performance parameters in order to perform network monitoring on the target node.

In an implementation manner, when the electronic device obtains the network performance parameter, the electronic device may send a target test protocol to the target node. And then, after the target node receives the target test protocol, executing a test program based on the target test protocol in the target probe, and obtaining the network performance parameters of the target node. The electronic device then obtains network performance parameters from a target probe of the target node.

For example, assuming that a target probe 1 is deployed on a target node 1, a test program is TWAMP, a target test protocol is protocol 1, and a network performance parameter that needs to be acquired by an electronic device is minimum round trip delay. In this case, the electronic device may transmit the target test protocol 1 to the target node 1. Next, the target node 1 executes a testing program TWAMP in the target probe 1 based on the target testing protocol 1, and obtains that the minimum round-trip delay network performance parameter of the target node 1 is 0.02s. Then, the electronic device obtains the minimum round-trip delay from the target probe 1 of the target node 1 as the network performance parameter 0.02s.

In an embodiment, with reference to fig. 7 and as shown in fig. 9, in the above S703, the method for the electronic device to perform network monitoring on the target node according to the network performance parameter specifically includes: S901-S902.

S901, when the network performance parameter is larger than the threshold value, the electronic device determines that the network monitoring result of the target node is as follows: and determining the sub-network to which the target node belongs as a fault network.

Wherein the sub-network is a regional network in the target network. The regional network is a network corresponding to a preset network region to which the target node belongs.

Optionally, the preset network area may be set according to a user requirement, and the range of the preset network area is not limited in the embodiment of the present application.

Specifically, after obtaining the network performance parameter, the electronic device may compare the network performance parameter with a threshold. When the electronic equipment judges that the network performance parameter is larger than the threshold value, determining that the network monitoring result of the target node is as follows: and determining the sub-network to which the target node belongs as a fault network.

Optionally, the threshold may be set according to a user requirement, and the specific numerical value of the threshold is not limited in the embodiment of the present application.

Illustratively, assume that the network performance parameter 1 of the target node 1 is 0.02s and the threshold is 0.01s. The electronic device determines that the network performance parameter is greater than the threshold value, and determines the sub-network to which the target node 1 belongs as a faulty network.

S902, when the network performance parameter is less than or equal to the threshold, the electronic device determines that the network monitoring result of the target node is: and determining the sub-network to which the target node belongs as a non-failure network.

Specifically, after obtaining the network performance parameter, the electronic device compares the network performance parameter with a threshold. When the electronic equipment judges that the network performance parameter is less than or equal to the threshold value, determining that the network monitoring result of the target node is as follows: and determining the sub-network to which the target node belongs as a non-failure network.

For example, assume that the network performance parameter 2 of the target node 2 is 0.01s and the threshold is 0.02s. The electronic device determines that the network performance parameter is less than the threshold value, and determines the sub-network to which the target node 2 belongs as a non-faulty network.

In an embodiment, referring to fig. 9 and as shown in fig. 10, when the sub-network is a failure network, the network monitoring method further includes: S1001-S1002.

S1001, the electronic equipment obtains network performance parameters of each node in the fault network.

Specifically, when the sub-network to which the target node belongs is a failure network, in order to determine the failure node, the electronic device needs to determine a network performance parameter of each node in the failure network.

Optionally, multiple test programs may be deployed on the probe and the target probe corresponding to each node. The probe corresponding to each node and the target probe may both obtain the network performance parameter of each node based on the same test program (e.g., the test program corresponding to the target test protocol in S802); or the network performance parameters of each node can be obtained based on different test programs.

In an implementation manner, when the probe corresponding to each node and the target probe may both obtain the network performance parameter of each node based on the same test program, the electronic device may obtain the network performance parameter of each node based on the manner of obtaining the network performance parameter of the target node.

Exemplarily, assume that a probe 1 of a node 1 of a faulty network executes a target test program 1 based on a target test protocol 1 and obtains a network performance parameter of 0.01s; executing a target test program 1 of a target test protocol 1 by a probe 2 of a node 2 of a fault network, and acquiring a network performance parameter of 0.02s; the probe 3 of the node 3 of the faulty network executes the target test program 1 that determines the target test protocol 1, and acquires the network performance parameter 0.03s. The electronic device obtains the network performance parameter 0.01s in the probe 1 of the node 1 of the fault network, obtains the network performance parameter 0.02s in the probe 2 of the node 2 of the fault network, and obtains the network performance parameter 0.03s in the probe 3 of the node 3 of the fault network.

In another implementation manner, when the probe corresponding to each node and the target probe may obtain the network performance parameter of each node based on different test programs, the electronic device may obtain the network performance parameter of each node based on the test program corresponding to each node. The specific manner for the electronic device to obtain the network performance parameter of each node may refer to the specific description of S801-S802, which is not described herein again.

For example, assuming that the test program based on the target test protocol is 1 and the other test programs are 2, the probe 1 of the node 1 of the fault network executes the other test programs 2 and obtains a network performance parameter of 0.01s; the probe 2 of the node 2 of the fault network executes other test programs 2 and obtains a network performance parameter of 0.02s; the probe 3 of the node 3 of the faulty network executes the other test program 2 and obtains the network performance parameter 0.03s. The electronic equipment acquires a network performance parameter of 0.01s in a probe 1 of a node 1 of a fault network, acquires a network performance parameter of 0.02s in a probe 2 of a node 2 of the fault network, and acquires a network performance parameter of 0.03s in a probe 3 of a node 3 of the fault network.

S1002, the electronic equipment determines a fault node according to the network performance parameters of each node.

Specifically, after the network performance parameter of each node in the failure network is obtained, the electronic device may determine the failure node according to the network performance parameter of each node.

In an implementation manner, the electronic device may compare the size of the network performance parameter of each node in the failed network, and determine the node with the largest network performance parameter as the failed node.

For example, it is assumed that the network performance parameter of the node 1 in the failed network is 0.01s, the network performance parameter of the node 2 in the failed network is 0.02s, and the network performance parameter of the node 3 in the failed network is 0.03s. The electronic device determines that the network performance parameter of node 3 in the failed network is the largest and determines node 3 as the failed node.

In another implementation manner, the electronic device may determine whether the network performance parameter of each node in the failed network meets a preset condition, and determine all nodes corresponding to the network performance parameters that meet the preset condition as the failed node.

The preset condition may be that the network performance parameter is greater than a threshold value.

Optionally, the threshold may be the same as or different from the threshold, and may also be set according to a user requirement, and the specific value of the threshold is not limited in the embodiment of the present application.

For example, it is assumed that the network performance parameter of the node 1 in the failure network is 0.01s, the network performance parameter of the node 2 in the failure network is 0.02s, the network performance parameter of the node 3 in the failure network is 0.03s, the network performance parameter of the node 4 in the failure network is 0.04, and the preset condition is that the network performance parameter is greater than the threshold value by 0.02s. The electronic equipment determines that the network performance parameters of the nodes 3 and 4 in the fault network meet preset conditions, and determines the nodes 3 and 4 as fault nodes.

Therefore, the electronic equipment can test the multi-section test result by combining the cloud resource pool test and the cloud network test, and the fault intelligent definition section is realized.

Optionally, the multi-segment test result of the cloud resource pool test and the cloud network test may be a network performance parameter of each node in the fault network.

In one embodiment, the network monitoring request comprises: and testing the time information. The test time information includes a test period or a preset test time. In this case, the electronic device may obtain the network performance parameter of the target node according to the test period or the preset test time. Therefore, referring to fig. 10 and as shown in fig. 11, in the above S702, the method for acquiring, by an electronic device, a network performance parameter of a target node based on a target probe deployed on the target node specifically includes: s1101.

S1101, at the testing time corresponding to the testing time information, the electronic equipment acquires the network performance parameters of the target node based on the target probe deployed on the target node.

Specifically, after obtaining the test time information, the electronic device may obtain the network performance parameters of the target node at the test time based on the target probe deployed on the target node, so as to implement network monitoring on the target node.

In an implementation manner, when the obtained test time information is a test period, the target probe deployed on the target node executes a test program determining a target test protocol according to the test period, and obtains a network performance parameter after the test program is executed each time.

After the electronic device obtains the network performance parameters after executing the test program in the target probe each time, the electronic device may store the network performance parameters in the database, and then the electronic device may perform network monitoring on the target node according to the network performance parameters stored in the database.

For example, assume that the target probe is 1, the test period is 5min, the target test protocol is 1, and the target program is 1. The electronic device obtains network performance parameters obtained after the target probe 1 executes the test program 1 based on the target test protocol 1 every 5min, stores the latest 100 network performance parameters in a database, and then the electronic device can draw a statistical chart according to the historical network performance parameters (which can also be called as historical test results).

In this way, the electronic device can perform network monitoring on the target node according to the statistical graph.

In another implementation manner, when the obtained test time information is a preset test time, the target probe deployed on the target node executes a test program that determines a target test protocol at the preset test time, and obtains a network performance parameter after the test program is executed.

And then the electronic equipment acquires the network performance parameters after the test program is executed in the target probe, and carries out network monitoring on the target node according to the network performance parameters.

For example, assuming that the target probe is 1, the test time is 2:00, target test protocol 1, target program 1. Electronic device acquisition target probe 1 in 2:00 executing the test program 1 of the target test protocol 1 to obtain the network performance parameters, and performing network monitoring on the target node according to the network performance parameters.

The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art would readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiment of the present application, the network monitoring apparatus may be divided into the functional modules according to the method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. Optionally, the division of the modules in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

Fig. 12 is a schematic structural diagram of a network monitoring device according to an embodiment of the present disclosure. The network monitoring device may be used to perform the method of network monitoring shown in fig. 7-11. The network monitoring apparatus shown in fig. 12 includes: a receiving unit 1201, an acquiring unit 1202, and a processing unit 1203.

A receiving unit 1201, configured to receive a network monitoring request; the network monitoring request is used for requesting to monitor a target node in a target network; the target network includes: at least one of a virtual cloud node and an entity device node; a cloud probe is deployed on the virtual cloud node; the entity equipment node is provided with an entity probe; the target node comprises a virtual cloud node. For example, in conjunction with fig. 7, the receiving unit 1201 is configured to perform S701.

An obtaining unit 1202, configured to obtain a network performance parameter of a target node based on a target probe deployed on the target node. For example, in conjunction with fig. 7, the obtaining unit 1202 is configured to execute S702.

A processing unit 1203, configured to determine a network monitoring result of the target node according to the network performance parameter; the network monitoring result is used for indicating the network state of the target node. For example, in conjunction with fig. 7, the processing unit 1203 is configured to execute S703.

Optionally, the obtaining unit 1202 is configured to:

and determining an initial test protocol corresponding to the test program identification, and configuring parameter information of the initial test protocol to obtain a target test protocol. For example, in conjunction with fig. 8, the obtaining unit 1202 is also configured to perform S801.

Sending a target test protocol to a target node; the target test protocol is used for indicating the target node in the target probe, and executing a test program based on the target test protocol to obtain the network performance parameters of the target node. For example, in conjunction with fig. 8, the obtaining unit 1202 is also configured to perform S802.

Optionally, the processing unit 1203 is configured to:

when the network performance parameter is larger than the threshold value, determining that the network monitoring result of the target node is as follows: determining a sub-network to which the target node belongs as a fault network; the sub-network is a regional network in the target network; the regional network is a network corresponding to a preset network region to which the target node belongs. For example, in conjunction with fig. 9, the processing unit 1203 is also configured to execute S901.

Or when the network performance parameter is less than or equal to the threshold, determining that the network monitoring result of the target node is: and determining the sub-network to which the target node belongs as a non-failure network. For example, in conjunction with fig. 9, the processing unit 1203 is also configured to execute S902.

Optionally, the obtaining unit 1202 is further configured to:

network performance parameters are obtained for each node in the failed network. For example, in conjunction with fig. 10, the obtaining unit 1202 is also configured to execute S1001.

The processing unit 1203 is further configured to determine a failed node according to the network performance parameter of each node. For example, in conjunction with fig. 10, the processing unit 1203 is further configured to execute S1002.

Optionally, the network monitoring request includes: testing time information; the test time information comprises a test period or preset test time;

an obtaining unit 1202 configured to:

and acquiring the network performance parameters of the target node at the test time corresponding to the test time information based on the target probe deployed on the target node. For example, in conjunction with fig. 11, the obtaining unit 1202 is also configured to perform S1101.

Embodiments of the present application further provide a computer-readable storage medium, where the computer-readable storage medium includes computer-executable instructions, and when the computer-executable instructions are executed on a computer, the computer is enabled to execute the network monitoring method provided in the foregoing embodiments.

The embodiments of the present application further provide a computer program, where the computer program may be directly loaded into a memory and contains a software code, and the computer program is loaded and executed by a computer, so as to implement the network monitoring method provided in the embodiments.

Those skilled in the art will recognize that in one or more of the examples described above, the functions described herein may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer-readable storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical function division, and there may be other division ways in actual implementation. For example, various elements or components may be combined or may be integrated in another device, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. Units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed to a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit. The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application, or portions of the technical solutions that substantially contribute to the general technology, or all or portions of the technical solutions may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method of network monitoring, comprising:

receiving a network monitoring request; the network monitoring request is used for requesting to monitor a target node in a target network; the target network includes: at least one of a virtual cloud node and an entity device node; a cloud probe is deployed on the virtual cloud node; a physical probe is deployed on the physical equipment node; the target node comprises the virtual cloud node;

acquiring network performance parameters of the target node based on a target probe deployed on the target node;

determining a network monitoring result of the target node according to the network performance parameter; and the network monitoring result is used for indicating the network state of the target node.

2. The network monitoring method of claim 1, wherein the network monitoring request includes a test program identification; the test program identification is used for representing the test program deployed in the target probe.

3. The network monitoring method according to claim 2, wherein the obtaining the network performance parameter of the target node based on the target probe deployed on the target node comprises:

determining an initial test protocol corresponding to the test program identification, and configuring parameter information of the initial test protocol to obtain a target test protocol;

sending the target test protocol to the target node; the target test protocol is used for indicating the target node in the target probe, and executing the test program based on the target test protocol to obtain the network performance parameter of the target node.

4. The network monitoring method of claim 1, wherein the network monitoring the target node according to the network performance parameter comprises:

when the network performance parameter is greater than a threshold value, determining that the network monitoring result of the target node is as follows: determining a sub-network to which the target node belongs as a fault network; the sub-network is a regional network in the target network; the regional network is a network corresponding to a preset network region to which the target node belongs;

or when the network performance parameter is less than or equal to the threshold, determining that the network monitoring result of the target node is: and determining that the sub-network to which the target node belongs is a non-failure network.

5. The network monitoring method according to claim 4, wherein when the sub-network is the faulty network, the network monitoring method further comprises:

acquiring network performance parameters of each node in the fault network;

and determining a fault node according to the network performance parameters of each node.

6. The network monitoring method according to any one of claims 1 to 5, wherein the network monitoring request comprises: testing time information; the test time information comprises a test period or a preset test moment;

the acquiring network performance parameters of the target node based on the target probe deployed on the target node comprises:

and at the test time corresponding to the test time information, acquiring the network performance parameters of the target node based on the target probe deployed on the target node.

7. A network monitoring device, comprising: the device comprises a receiving unit, an acquiring unit and a processing unit;

the receiving unit is used for receiving a network monitoring request; the network monitoring request is used for requesting to monitor a target node in a target network; the target network includes: at least one of a virtual cloud node and an entity device node; a cloud probe is deployed on the virtual cloud node; a physical probe is deployed on the physical equipment node; the target node comprises the virtual cloud node;

the acquisition unit is used for acquiring the network performance parameters of the target node based on a target probe deployed on the target node;

the processing unit is used for determining a network monitoring result of the target node according to the network performance parameter; and the network monitoring result is used for indicating the network state of the target node.

8. The network monitoring device of claim 7, wherein the network monitoring request includes a test program identifier; the test program identification is used for representing the test program deployed in the target probe.

9. The network monitoring device of claim 8, wherein the obtaining unit is configured to:

10. The network monitoring device of claim 7, wherein the processing unit is configured to:

11. The network monitoring device of claim 10, wherein when the sub-network is the failing network,

the acquiring unit is further configured to acquire a network performance parameter of each node in the faulty network;

and the processing unit is further configured to determine a failed node according to the network performance parameter of each node.

12. The network monitoring device of any one of claims 7-11, wherein the network monitoring request comprises: testing time information; the test time information comprises a test period or a preset test moment;

the acquisition unit is configured to:

and acquiring the network performance parameters of the target node based on the target probe deployed on the target node at the test time corresponding to the test time information.

13. A network monitoring device comprising a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; the processor executes the computer-executable instructions stored by the memory when the network monitoring device is operating to cause the network monitoring device to perform the network monitoring method of any of claims 1-6.

14. A computer-readable storage medium comprising computer-executable instructions that, when executed on a computer, cause the computer to perform the network monitoring method of any of claims 1-6.