CN115118619A - Network monitoring method, device, electronic device, medium and program product - Google Patents

Abstract

The embodiment of the disclosure discloses a network monitoring method, a network monitoring device, an electronic device, a medium and a program product, wherein the method comprises the following steps: acquiring monitoring data of equipment in the network through an access gateway of the network, wherein the equipment in the network comprises the access gateway and other equipment in the network; sending the monitoring data to a management platform server through the access gateway; determining, by the management platform server, a quality score of the network based on the monitoring data, the quality score reflecting an operational state of the network.

Description

Network monitoring method, device, electronic device, medium and program product

technical field

The present disclosure relates to the technical field of network monitoring, in particular to a network monitoring method, device, electronic device, medium and program product.

Background technique

In the headquarters-branch networking structure, the headquarters central network can be connected to one or more branch networks through a virtual private network (Virtual Private Network, VPN). The headquarters network or branch network can access the cloud server through VPN, and can also access the public network respectively. In order to realize the stable operation of the branch network, it is usually necessary to monitor the running status of the branch network, so as to detect and deal with the abnormality in operation in time.

SUMMARY OF THE INVENTION

In order to solve the problems in the related art, the embodiments of the present disclosure provide a network monitoring method, apparatus, electronic device, medium and program product.

In a first aspect, an embodiment of the present disclosure provides a network monitoring method, including:

Obtain monitoring data of devices in the network through an access gateway of the network, where the devices in the network include the access gateway and other devices in the network;

Send the monitoring data to the management platform server through the access gateway;

Through the management platform server, the quality score of the network is determined based on the monitoring data, and the quality score reflects the operating state of the network.

According to an embodiment of the present disclosure, the method further includes processing the monitoring data by one or more of the following operations:

According to the monitoring data of the first device in the network sent to the management platform server, the missing monitoring data of the second device connected to the first device in the network is supplemented;

According to the preset arbitration strategy, the credible monitoring data in the same kind of monitoring data is retained, and the unreliable monitoring data is discarded.

According to embodiments of the present disclosure, wherein:

The supplementing the missing monitoring data of the second device connected to the first device in the network according to the monitoring data of the first device in the network sent to the management platform server, including:

According to the monitoring data of the first device, determine device type information of a third device connected to the second device, and associate the device type information of the third device with the corresponding monitoring data of the second device; and/or determining the interface traffic information of the second device according to the interface traffic information of the first device;

The preset arbitration strategy includes: when the network distance between the fourth device and the monitored object is smaller than the network distance between the fifth device and the monitored object, the reliability of the monitoring data of the fourth device about the monitored object is higher than that of the monitored object. The fifth device has monitoring data about the monitored object.

According to embodiments of the present disclosure, wherein:

Other devices in the network include switches and/or wireless access points;

The monitoring data includes at least one of the following: performance data, log data, and device type information;

The performance data includes one or more of the following data: central processing unit usage rate, memory usage rate, bandwidth usage rate, packet loss rate, and signal-to-noise ratio of terminal equipment;

the log data includes error messages, the error messages are used to describe abnormal events;

The device type information includes hardware type and/or operating system type.

According to an embodiment of the present disclosure, the determining the quality score of the network based on the monitoring data includes:

The quality score of the network is determined according to the weighted sum of the scores of the performance data and/or the scores of the error messages, wherein the quality score of the network is determined according to the respective degrees of influence of the performance data and/or the error messages on the user. The respective weights of the performance data and/or the error messages.

According to embodiments of the present disclosure, wherein:

Determine the score of the performance data according to the comparison result of the performance data and the corresponding performance threshold;

determining a score for the error message according to the type and/or severity of the error message;

The degree of influence of the performance data and/or the error message on the user is determined according to the device type corresponding to the performance data and/or the error message.

In a second aspect, an embodiment of the present disclosure provides a network monitoring method, including:

Obtain monitoring data of devices in the network through an access gateway of the network, where the devices in the network include the access gateway and other devices in the network;

The monitoring data is sent to the management platform server through the access gateway, wherein the monitoring data is used by the management platform server to determine the quality score of the network, and the quality score reflects the running state of the network .

According to embodiments of the present disclosure, wherein:

The obtaining monitoring data of devices in the network through the access gateway of the network includes:

Obtain the monitoring data of the access gateway through a collection probe program set on the access gateway;

The monitoring data of the other device is acquired through the acquisition probe program according to the corresponding network transmission protocol supported by the other device.

In a third aspect, an embodiment of the present disclosure provides a network monitoring method, including:

Receive monitoring data of devices in the network from an access gateway of the network, where the devices in the network include the access gateway and other devices in the network;

A quality score of the network is determined based on the monitoring data, the quality score reflecting the operating state of the network.

According to an embodiment of the present disclosure, the method further includes processing the monitoring data by one or more of the following operations:

According to the monitoring data of the first device in the network sent to the management platform server, the missing monitoring data of the second device connected to the first device in the network is supplemented;

According to the preset arbitration strategy, the credible monitoring data in the same kind of monitoring data is retained, and the unreliable monitoring data is discarded.

According to embodiments of the present disclosure, wherein:

Other devices in the network include switches and/or wireless access points;

The monitoring data includes at least one of the following: performance data, log data, and device type information;

The performance data includes one or more of the following data: central processing unit usage rate, memory usage rate, bandwidth usage rate, packet loss rate, and signal-to-noise ratio of terminal equipment;

the log data includes error messages, the error messages are used to describe abnormal events;

The device type information includes hardware type and/or operating system type;

The determining the quality score of the network based on the monitoring data includes: determining the quality score of the network according to a weighted sum of the scores of the performance data and/or the scores of the error message, wherein according to the The respective weights of the performance data and/or the error messages are determined according to the respective influence degrees of the performance data and/or the error messages on the user.

According to embodiments of the present disclosure, wherein:

Determine the score of the performance data according to the comparison result of the performance data and the corresponding performance threshold;

determining a score for the error message according to the type and/or severity of the error message;

The degree of influence of the performance data and/or the error message on the user is determined according to the device type corresponding to the performance data and/or the error message.

In a fourth aspect, an embodiment of the present disclosure provides a network monitoring device, including:

an acquisition module, configured to acquire monitoring data of devices in the network through an access gateway of the network, where the devices in the network include the access gateway and other devices in the network;

a sending module, configured to send the monitoring data to a management platform server through the access gateway, wherein the monitoring data is used by the management platform server to determine a quality score of the network, and the quality score reflects the operational status of the network.

In a fifth aspect, an embodiment of the present disclosure provides a network monitoring device, including:

a receiving module, configured to receive monitoring data of devices in the network from an access gateway of the network, where the devices in the network include the access gateway and other devices in the network;

A determination module configured to determine a quality score of the network based on the monitoring data, where the quality score reflects an operating state of the network.

According to an embodiment of the present disclosure, the apparatus further includes a processing module configured to process the monitoring data through one or more of the following operations:

According to the monitoring data of the first device in the network sent to the management platform server, the missing monitoring data of the second device connected to the first device in the network is supplemented;

According to the preset arbitration strategy, the credible monitoring data in the same kind of monitoring data is retained, and the unreliable monitoring data is discarded.

In a sixth aspect, embodiments of the present disclosure provide an electronic device, including a memory and a processor, wherein the memory is used to store one or more computer instructions, wherein the one or more computer instructions are processed by the The device executes to implement the method of any one of the second and third aspects.

In a seventh aspect, an embodiment of the present disclosure provides a computer-readable storage medium on which computer instructions are stored, and when the computer instructions are executed by a processor, implement the methods described in the second and third aspects.

In an eighth aspect, an embodiment of the present disclosure provides a computer program product, including computer instructions, which implement the method steps of the second aspect and the third aspect when the computer instructions are executed by a processor.

According to the technical solutions provided by the embodiments of the present disclosure, the monitoring data of the access gateway and the monitoring data of other devices in the network are acquired through the access gateway of the monitored network and uploaded to the management platform server, reducing the need for the monitoring data in the monitored network. At the same time, it can provide users with unified monitoring capabilities through the cloud management platform, reducing the cost of learning network management for users. In addition, by collecting the monitoring data of the access gateway and other devices in the network, and determining the quality score of the network based on the monitoring data, the network quality of the entire network can be more macroscopically and accurately perceived as a whole.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

Other features, objects and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments, taken in conjunction with the accompanying drawings. In the attached image:

FIG. 1 shows a schematic diagram of a headquarters-branch networking structure according to an embodiment of the present disclosure.

FIG. 2 shows a schematic structural diagram of a branch network according to an embodiment of the present disclosure.

FIG. 3 shows a flowchart of a network monitoring method according to an embodiment of the present disclosure.

FIG. 4 shows a system block diagram of a network monitoring method according to an embodiment of the present disclosure.

FIG. 5 shows a flowchart of a network monitoring method according to an embodiment of the present disclosure.

FIG. 6 shows a flowchart of a network monitoring method according to an embodiment of the present disclosure.

FIG. 7A shows a structural block diagram of a network monitoring apparatus according to an embodiment of the present disclosure.

FIG. 7B shows a structural block diagram of a network monitoring apparatus according to an embodiment of the present disclosure.

FIG. 8 shows a structural block diagram of an electronic device according to an embodiment of the present disclosure.

FIG. 9 shows a schematic structural diagram of a computer system suitable for implementing a method according to an embodiment of the present disclosure.

Detailed ways

Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for the sake of clarity, parts unrelated to describing the exemplary embodiments are omitted from the drawings.

In the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts, or combinations thereof disclosed in this specification, and are not intended to exclude a or multiple other features, numbers, steps, acts, components, parts, or combinations thereof may exist or be added.

In addition, it should be noted that the embodiments of the present disclosure and the features of the embodiments may be combined with each other under the condition of no conflict. The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

In the present disclosure, the acquisition of user information or user data is an operation authorized or confirmed by the user, or an operation actively selected by the user.

As described above, in the headquarters-branch networking structure, the headquarters central network can be connected to one or more branch networks through a virtual private network (Virtual Private Network, VPN). In order to realize the stable operation of the branch network, it is usually necessary to monitor the running status of the branch network, so as to detect and deal with the abnormality in operation in time.

FIG. 1 shows a schematic diagram of a headquarters-branch networking structure according to an embodiment of the present disclosure.

As shown in Figure 1, branch network 1, branch network 2... branch network n are connected to the headquarters central network through VPN1, VPN2, ... VPNn respectively and communicate with the headquarters central network. In order to realize the stable operation of the branch network, it is usually necessary to The running status of the branch network is monitored, so as to detect and deal with the abnormal operation in time.

In order to monitor the running status of the branch network, each device in the branch network needs to be monitored. The devices in the branch network usually include access gateways, switches, wireless access points (APs), etc., wherein other devices in the branch network are connected to external networks, such as the headquarters center network, through the access gateways.

An access gateway refers to a gateway device at the edge of the network that connects the local network and the external network. A switch is a kind of network hardware that receives and forwards data through message exchange, and can connect different devices on a computer network. A wireless AP is a wireless switch used in a wireless network and is also the core of a wireless network. A wireless AP is an access point for mobile computer users to connect to a wired network. It can be used in broadband homes, inside buildings, and inside campuses, and can cover areas ranging from tens of meters to hundreds of meters.

FIG. 2 shows a schematic structural diagram of a branch network according to an embodiment of the present disclosure.

As shown in Figure 2, in this branch network, one or more APs (eg, AP1, AP2...) are connected to switches, and one or more switches (eg, switch A, switch B...) are connected to the access gateway , the access gateway is connected to the external network. Wireless devices can communicate with APs, which in turn communicate with external networks through switches and access gateways. In addition to being connected to an AP, a switch can also be connected to one or more devices, such as a personal computer, a server, and so on.

An existing branch network monitoring method provides an independent management platform for each device in the branch network, and each device collects and calculates its own monitoring data and uploads it to the corresponding management platform to generate monitoring device indicators and abnormal logs. The disadvantage of this method is that users need to manage and monitor different devices on different management platforms, and they need to learn how to use each management platform. The cost of learning and management is high, and the calculation is placed on the device side. Core network forwarding performance. In addition, monitoring indicators and logs can only be used for a single device, and cannot accurately perceive the quality of the entire branch network, allowing users to intuitively grasp the running status of the entire branch network.

An embodiment of the present disclosure provides a network monitoring method, including: acquiring monitoring data of devices in the network through an access gateway of the network, where the devices in the network include the access gateway and the network The monitoring data is sent to the management platform server through the access gateway; the quality score of the network is determined based on the monitoring data through the management platform server, and the quality score reflects the quality of the network. Operating status.

According to an embodiment of the present disclosure, the monitored network may be a branch network, or any other network that communicates with the outside through an access gateway, for example, a headquarters network that accesses the public network through an access gateway, or a VPN through the access gateway Access the local area network of the cloud server, etc. By collecting monitoring data of access gateways and other devices in the network, and determining the quality score of the network based on the monitoring data, the overall network quality of the entire network can be perceived more macroscopically and accurately.

FIG. 3 shows a flowchart of a network monitoring method according to an embodiment of the present disclosure. As shown in FIG. 3, the network monitoring method includes the following steps S201-S203:

In step S201, the monitoring data of the device in the network is obtained through the access gateway of the network, and the device in the network includes the access gateway and other devices in the network;

In step S202, the monitoring data is sent to the management platform server through the access gateway;

In step S203, a quality score of the network is determined based on the monitoring data through the management platform server, and the quality score reflects the running state of the network.

According to the embodiments of the present disclosure, the monitoring data of the access gateway and the monitoring data of other devices in the network are acquired through the access gateway of the monitored network and uploaded to the management platform server, reducing the need for other devices in the monitored network themselves. At the same time, the cloud-based management platform can provide users with unified monitoring capabilities, reducing the cost of learning network management for users. In addition, by collecting the monitoring data of the access gateway and other devices in the network, and determining the quality score of the network based on the monitoring data, the network quality of the entire network can be more macroscopically and accurately perceived as a whole.

FIG. 4 shows a system block diagram of a network monitoring method according to an embodiment of the present disclosure.

The monitored network (hereinafter referred to as "network") shown in FIG. 4 may be a branch network, or any local area network or wide area network connected to an external network (eg, the Internet or a headquarters network) through an access gateway.

In the example of Figure 4, the network includes an access gateway, one or more switches connected to the access gateway, and one or more APs connected to the switches.

The collection probe can be deployed on the access gateway. The collection probe collects various monitoring data on the access gateway through the SNMP protocol, and also uses different protocols such as SNMP, SSH or TELNET according to the different manufacturers and models of switches and APs. Various monitoring data on switches and APs.

According to an embodiment of the present disclosure, the acquisition probe may be implemented by means of software, hardware or firmware.

According to an embodiment of the present disclosure, the monitoring data includes at least one of the following: performance data, log data, and device type information, the performance data being one or more of the following data: central processing unit usage, memory usage, and bandwidth usage , packet loss rate, signal-to-noise ratio of the terminal device, etc.; the log data includes error messages, etc., and the error messages are used to describe abnormal events; the device type information includes hardware type and/or operating system type.

SNMP stands for Simple Network Management Protocol, which can support network management systems and can be used to obtain monitoring data of network devices, including any one or more of the following: routers, switches, servers , printers, and other devices that provide services over a network.

SSH stands for Secure Shell, which is an encrypted network transmission protocol that provides a secure transmission environment for network services in an insecure network. SSH implements the connection between the SSH client and the server by establishing a secure tunnel in the network. The most common use of SSH is to log in to a system remotely, and SSH can often be used to transfer command-line interfaces and execute commands remotely.

Telnet is the standard protocol and main method of Internet remote login service, which provides users with the ability to complete remote host work on the local computer.

The collection probe of the access gateway will compress and package the monitoring data collected from itself and each device, and upload it to the cloud database through the https protocol.

The management platform server implemented in the cloud adopts the streaming computing method for monitoring data with high real-time requirements (for example, real-time quality rating data), and adopts batch computing method for report data with low real-time requirements (for example, quality sub-report data) Calculate separately. According to an embodiment of the present disclosure, streaming computing is real-time computing and processing of data streams. Batch computing is a data computing method that processes data in batches.

According to an embodiment of the present disclosure, the cloud may also store network metadata of each network, such as network name, geographic location, etc., so that the management platform server locally obtains these metadata when generating real-time quality data and quality report data.

According to the embodiment of the present disclosure, when the management platform server processes the monitoring data, it first parses and cleans the monitoring data uploaded by the access gateway, filters out some incomplete or obviously wrong dirty data, and parses and cleans the monitoring data according to the specified data format. Formatting and outputting formatted data in canonical format.

Then, the management platform server performs supplementary and/or arbitration operations on the data. Specifically, the missing monitoring data of the second device connected to the first device in the network may be supplemented according to the monitoring data of the first device in the network sent to the management platform server; and/or according to the pre-defined monitoring data; Set up an arbitration strategy to retain the credible monitoring data in the same kind of monitoring data, and discard the unreliable monitoring data. According to an embodiment of the present disclosure, the second device may be any device in the monitored network that needs to supplement monitoring data.

According to an embodiment of the present disclosure, the missing monitoring data of the second device connected to the first device in the network is supplemented according to the monitoring data of the first device in the network sent to the management platform server, The method includes: determining device type information of a third device connected to the second device according to the monitoring data of the first device, and correlating the device type information of the third device with the corresponding monitoring data of the second device and/or determining the interface traffic information of the second device according to the interface traffic information of the first device.

For example, the first device may be an access gateway, the second device may be a switch or an AP, and the third device may be a terminal device connected to the second device. APs and switches can only monitor and obtain the media access control (MAC) address, Internet Protocol (IP) address, network speed, traffic and other data of the terminal device, while the access gateway can obtain terminal type information through traffic analysis, such as the hardware type of the terminal (POS machines, smart home appliances, cameras, tablet computers, mobile phones, etc.), and/or the operating system type of the terminal (IOS system or Android system). After the type of the third device is determined, the third device type can be associated with the corresponding monitoring data of the second device, for example, the network speed of a designated port of the second device is associated with the type of the third device connected to the port. According to the type of the third device and the service used by the end user, the degree of influence of the corresponding monitoring data of the second device on the user can be determined. For example, assuming that the end user is using a live broadcast service, the monitoring data of the second device on the mobile phone or tablet will have a greater impact on the user than the monitoring data on the POS machine by the second device.

For another example, there are many fields that cannot be collected due to the device type in the monitoring data uploaded by the access gateway. For example, terminal-related data can be collected by access gateways, switches, and APs, but access gateways and switches cannot collect data such as the signal-to-noise ratio of wireless terminals, while APs can collect data such as signal-to-noise ratios of wireless terminals. The signal-to-noise ratio data of the wireless terminals of the access gateway and the switch can be supplemented based on the monitoring data of the AP. In this case, the first device is an AP and the second device is an access gateway or switch.

According to an embodiment of the present disclosure, the second device may be a device without data collection capability, such as some switches. data for the corresponding port. For example, the flow information of the designated port of the second device may be inferred from the flow information of the first device connected to the designated port of the second device. In this way, monitoring data of devices that do not have data collection capabilities themselves can be obtained.

According to the embodiment of the present disclosure, in the monitoring data uploaded by the access gateway, the data of the same type collected by different devices may have different values. For example, for terminal uplink and downlink traffic monitoring data, access gateways, switches, and APs will collect the monitoring data, and use a preset arbitration strategy to select monitoring data. According to an embodiment of the present disclosure, the preset arbitration strategy includes: when the network distance between the fourth device and the monitored object is smaller than the network distance between the fifth device and the monitored object, the fourth device monitors the monitored object. The reliability of the data is higher than the monitoring data about the monitored object by the fifth device. Network distance refers to the minimum number of edges connected between two nodes in an interconnected network. For example, the network distance between the terminal connected to AP1 in FIG. 2 and AP1 is 1, the network distance between the terminal and the switch A is 2, and the network distance between the terminal and the access gateway is 3. For example, when a wireless terminal is connected to an AP, the traffic monitoring data of the wireless terminal collected by the AP is preferentially used. If the AP does not collect the traffic monitoring data of the wireless terminal, the traffic monitoring data of the wireless terminal collected by the switch is used. , if the switch does not collect the traffic monitoring data of the wireless terminal, use the traffic monitoring data of the wireless terminal collected by the access gateway. When the AP, the switch, and the access gateway all collect the traffic monitoring data of the wireless terminal, according to the preset arbitration policy, it is considered that the reliability of the terminal traffic monitoring data collected by the AP is higher than that of the terminal collected by the switch. The reliability of the terminal traffic monitoring data collected by the switch is higher than that of the terminal traffic monitoring data collected by the access gateway switch. In this way, the integrity and accuracy of the data can be effectively guaranteed.

Next, the management platform server performs correlation calculation on the monitoring data. In addition to producing various single basic indicators, it can also calculate the comprehensive network quality score to reflect the overall network quality of the branch more macroscopically and accurately. For example, the management platform server determines the quality score of the network according to the weighted sum of the scores of the performance data and/or the scores of the error messages. The score of the performance data is determined according to the comparison result of the performance data and the corresponding performance threshold; the score of the error message is determined according to the type and/or severity of the error message.

For example, assuming the performance data is CPU usage and its corresponding performance threshold is 50%, the score for CPU usage may be (50%-actual CPU usage)/50%. Assuming that the performance data is memory usage and its corresponding performance threshold is 60%, the score for memory usage can be (60%-actual memory usage)/60%. Assuming that the performance data is bandwidth usage and its corresponding performance threshold is 55%, the score for bandwidth usage may be (55%-actual bandwidth usage)/55%. Assuming that the performance data is the packet loss rate and its corresponding performance threshold is 10%, the score of the packet loss rate may be (10%-actual packet loss rate)/10%. Assuming that the performance data is the signal-to-noise ratio of the terminal device and its corresponding performance threshold is 8db, the score of the signal-to-noise ratio of the terminal device may be (actual signal-to-noise ratio-8)/8.

For log data, its error message can describe abnormal events, such as the type and/or severity of abnormal events, for different types, different severity, or a combination of different types and severity, according to its impact on network quality, Different scores can be given.

After determining the score of the performance data and the score of the error message, different weights can be assigned to the corresponding performance data and error message according to the degree of their influence on the user, and then calculate the weight of the score of the performance data and the score of the error message and as the quality score of the network. According to an embodiment of the present disclosure, the degree of influence of the performance data and/or the error message on the user is determined according to the device type corresponding to the performance data and/or the error message. For example, the performance data about the camera of the switch has a greater impact on the live broadcast users than the performance data about the POS machine of the switch has on the live broadcast user. Therefore, the performance data about the camera of the switch is allocated more than the performance data about the POS machine of the switch. higher weight. For another example, AP error messages about POS machines have a greater impact on retail users than AP error messages about cameras have on retail users. Therefore, AP error messages about POS machines are assigned a higher weight than AP error messages about cameras.

By determining the degree of influence of the performance data and/or the error message on the user according to the device type corresponding to the performance data and/or the error message, the performance data and/or the error message are further affected according to the influence degree. Messages are assigned corresponding weights. For different user types, the influence of the corresponding monitoring data of different device types on users can be considered when calculating the network quality score, so that the user's network quality score can be calculated more pertinently.

According to the embodiment of the present disclosure, the final data after stream computing and batch computing are written into the real-time quality database and the quality report database, respectively. For example, by calculating the quality score of the network on the monitoring data acquired in real time by means of stream computing, the real-time quality score of the network can be obtained, and by batch computing by calculating the monitoring data stored in the database for a period of time, the quality score of the network can be obtained. Quality report data.

The management platform database can open monitoring data, real-time quality scores, quality reports and other data to users for query and use as needed. These data can be connected to the alarm system to notify users of network abnormalities in real time.

FIG. 5 shows a flowchart of a network monitoring method according to an embodiment of the present disclosure.

According to an embodiment of the present disclosure, the network monitoring method shown in FIG. 5 may be performed by the access gateway of the monitored network.

As shown in FIG. 5 , a network monitoring method according to an embodiment of the present disclosure includes: acquiring monitoring data of devices in the network through an access gateway of the network, where the devices in the network include the access gateway and all the devices in the network. other devices in the network; send the monitoring data to the management platform server through the access gateway, wherein the monitoring data is used by the management platform server to determine the quality score of the network, the quality score Reflects the operating status of the network.

For example, the access gateway shown in FIG. 4 obtains monitoring data of itself and each switch and AP in the network, and uploads it to the cloud, so that the management platform server in the cloud can determine the quality score of the network according to the monitoring data, and the quality score reflects The operating status of the network.

According to an embodiment of the present disclosure, other devices in the network include switches and/or wireless access points; the monitoring data includes at least one of the following: performance data, log data, and device type information; the performance data is as follows One or more kinds of data: central processing unit usage, memory usage, bandwidth usage, packet loss rate, signal-to-noise ratio of terminal equipment; the log data includes error messages, which are used to describe abnormal events; The device type information includes hardware type and/or operating system type. The determining the quality score of the network based on the monitoring data includes: determining the quality score of the network according to a weighted sum of the scores of the performance data and/or the scores of the error message, wherein according to the The respective influences of the performance data and/or the error messages on the user, determine the respective weights of the performance data and/or the error messages, and determine the respective device types corresponding to the performance data and/or the error messages The degree to which the performance data and/or the error message each affect the user.

According to an embodiment of the present disclosure, the obtaining the monitoring data of the access gateway through the access gateway of the network includes obtaining the monitoring data of the access gateway through a collection probe program set on the access gateway data; obtaining the monitoring data of other devices in the network through the access gateway of the network, including obtaining the monitoring data of the other devices through the acquisition probe program according to the corresponding network transmission protocol supported by the other devices .

For example, the access gateway in Figure 4 obtains the monitoring data of the access gateway through the SNMP protocol through the acquisition probe set in the access gateway, obtains the monitoring data of the switch through SNMP or SSH or TELNET protocol, and obtains the monitoring data of the switch through SNMP or SSH or TELNET The protocol obtains the monitoring data of the AP, and then sends the monitoring data to the cloud.

FIG. 6 shows a flowchart of a network monitoring method according to an embodiment of the present disclosure.

As shown in FIG. 6 , a network monitoring method includes: receiving monitoring data of devices in the network from an access gateway of the network, where the devices in the network include the access gateway and the devices in the network. other devices; determining the quality score of the network based on the monitoring data, where the quality score reflects the operating state of the network.

According to an embodiment of the present disclosure, the network monitoring method shown in FIG. 6 may be executed by a management platform server in the cloud.

According to an embodiment of the present disclosure, the method further includes processing the monitoring data by one or more of the following operations:

According to the monitoring data of the first device in the network sent to the management platform server, the missing monitoring data of the second device connected to the first device in the network is supplemented;

According to the preset arbitration strategy, the credible monitoring data in the same kind of monitoring data is retained, and the unreliable monitoring data is discarded.

According to embodiments of the present disclosure, wherein:

Other devices in the network include switches and/or wireless access points;

The monitoring data includes at least one of the following: performance data, log data, and device type information;

The performance data includes one or more of the following data: central processing unit usage rate, memory usage rate, bandwidth usage rate, packet loss rate, and signal-to-noise ratio of terminal equipment;

the log data includes error messages, the error messages are used to describe abnormal events;

The device type information includes hardware type and/or operating system type;

The determining the quality score of the network based on the monitoring data includes: determining the quality score of the network according to a weighted sum of the scores of the performance data and/or the scores of the error message, wherein according to the The respective weights of the performance data and/or the error messages are determined according to the respective influence degrees of the performance data and/or the error messages on the user.

According to embodiments of the present disclosure, wherein:

Determine the score of the performance data according to the comparison result of the performance data and the corresponding performance threshold;

determining a score for the error message according to the type and/or severity of the error message;

The degree of influence of the performance data and/or the error message on the user is determined according to the device type corresponding to the performance data and/or the error message.

For example, the management platform server in FIG. 4 receives the monitoring data of the access gateway and the monitoring data of other devices in the network from the access gateway of the monitored network through the https protocol, and determines the network based on the monitoring data The quality score reflects the operating state of the network.

FIG. 7A shows a structural block diagram of a network monitoring apparatus according to an embodiment of the present disclosure. Wherein, the apparatus may be realized by software, hardware or a combination of the two to become part or all of the electronic device.

As shown in FIG. 7A , the network monitoring apparatus 710 includes an acquisition module 711 and a transmission module 712 .

The acquiring module 711 is configured to acquire monitoring data of devices in the network through an access gateway of the network, and the devices in the network include the access gateway and other devices in the network;

The sending module 712 is configured to send the monitoring data to a management platform server through the access gateway, wherein the monitoring data is used by the management platform server to determine the quality score of the network, and the quality score reflects the operational status of the network.

According to an embodiment of the present disclosure, other devices in the network include switches and/or wireless access points; the monitoring data includes at least one of the following: performance data, log data, and device type information; the performance data is as follows One or more kinds of data: central processing unit usage, memory usage, bandwidth usage, packet loss rate, signal-to-noise ratio of terminal equipment; the log data includes error messages, which are used to describe abnormal events; The device type information includes hardware type and/or operating system type.

According to an embodiment of the present disclosure, the obtaining the monitoring data of the access gateway through the access gateway of the network includes obtaining the monitoring data of the access gateway through a collection probe program set on the access gateway data; obtaining the monitoring data of other devices in the network through the access gateway of the network, including obtaining the monitoring data of the other devices through the acquisition probe program according to the corresponding network transmission protocol supported by the other devices .

FIG. 7B shows a structural block diagram of a network monitoring apparatus according to an embodiment of the present disclosure. Wherein, the apparatus may be realized by software, hardware or a combination of the two to become part or all of the electronic device.

As shown in FIG. 7B , the network monitoring device 720 includes a receiving module 721 and a determining module 722 .

The receiving module 721 is configured to receive monitoring data of devices in the network from an access gateway of the network, where the devices in the network include the access gateway and other devices in the network;

The determination module 722 is configured to determine a quality score of the network based on the monitoring data, the quality score reflecting the operating state of the network.

According to an embodiment of the present disclosure, the apparatus 720 further includes a processing module 723 configured to process the monitoring data through one or more of the following operations:

According to the monitoring data of the first device in the network sent to the management platform server, the missing monitoring data of the second device connected to the first device in the network is supplemented;

According to the preset arbitration strategy, the credible monitoring data in the same kind of monitoring data is retained, and the unreliable monitoring data is discarded.

According to embodiments of the present disclosure, wherein:

Other devices in the network include switches and/or wireless access points;

The monitoring data includes at least one of the following: performance data, log data, and device type information;

The performance data includes one or more of the following data: central processing unit usage rate, memory usage rate, bandwidth usage rate, packet loss rate, and signal-to-noise ratio of terminal equipment;

the log data includes error messages, the error messages are used to describe abnormal events;

The device type information includes hardware type and/or operating system type;

The determining the quality score of the network based on the monitoring data includes: determining the quality score of the network according to a weighted sum of the scores of the performance data and/or the scores of the error message, wherein according to the The respective weights of the performance data and/or the error messages are determined according to the respective influence degrees of the performance data and/or the error messages on the user.

According to embodiments of the present disclosure, wherein:

Determine the score of the performance data according to the comparison result of the performance data and the corresponding performance threshold;

determining a score for the error message according to the type and/or severity of the error message;

The degree of influence of the performance data and/or the error message on the user is determined according to the device type corresponding to the performance data and/or the error message.

The present disclosure also discloses an electronic device, and FIG. 8 shows a structural block diagram of the electronic device according to an embodiment of the present disclosure.

As shown in FIG. 8 , the electronic device 800 includes a memory 801 and a processor 802 , wherein the memory 801 is used to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor 802 to implement a method according to an embodiment of the present disclosure. According to an embodiment of the present disclosure, the electronic device may be a cloud server, the memory may be a cloud storage device, and the processor may be a logical processor implemented in the cloud.

An embodiment of the present disclosure provides a network monitoring method, including:

Obtain monitoring data of devices in the network through an access gateway of the network, where the devices in the network include the access gateway and other devices in the network;

The monitoring data is sent to the management platform server through the access gateway, wherein the monitoring data is used by the management platform server to determine the quality score of the network, and the quality score reflects the running state of the network .

According to embodiments of the present disclosure, wherein:

The obtaining monitoring data of devices in the network through the access gateway of the network includes:

Obtain the monitoring data of the access gateway through a collection probe program set on the access gateway;

The monitoring data of the other device is acquired through the acquisition probe program according to the corresponding network transmission protocol supported by the other device.

In a third aspect, an embodiment of the present disclosure provides a network monitoring method, including:

Receive monitoring data of devices in the network from an access gateway of the network, where the devices in the network include the access gateway and other devices in the network;

A quality score of the network is determined based on the monitoring data, the quality score reflecting the operating state of the network.

According to an embodiment of the present disclosure, the method further includes processing the monitoring data by one or more of the following operations:

According to the monitoring data of the first device in the network sent to the management platform server, the missing monitoring data of the second device connected to the first device in the network is supplemented;

According to the preset arbitration strategy, the credible monitoring data in the same kind of monitoring data is retained, and the unreliable monitoring data is discarded.

According to embodiments of the present disclosure, wherein:

Other devices in the network include switches and/or wireless access points;

The monitoring data includes at least one of the following: performance data, log data, and device type information;

The performance data includes one or more of the following data: central processing unit usage rate, memory usage rate, bandwidth usage rate, packet loss rate, and signal-to-noise ratio of terminal equipment;

the log data includes error messages, the error messages are used to describe abnormal events;

The device type information includes hardware type and/or operating system type;

The determining the quality score of the network based on the monitoring data includes: determining the quality score of the network according to a weighted sum of the scores of the performance data and/or the scores of the error message, wherein according to the The respective weights of the performance data and/or the error messages are determined according to the respective influence degrees of the performance data and/or the error messages on the user.

According to embodiments of the present disclosure, wherein:

Determine the score of the performance data according to the comparison result of the performance data and the corresponding performance threshold;

determining a score for the error message according to the type and/or severity of the error message;

The degree of influence of the performance data and/or the error message on the user is determined according to the device type corresponding to the performance data and/or the error message.

FIG. 9 shows a schematic structural diagram of a computer system suitable for implementing a method according to an embodiment of the present disclosure.

As shown in FIG. 9, a computer system 900 includes a processing unit 901 that can perform the above-described implementation according to a program stored in a read only memory (ROM) 902 or a program loaded from a storage section 908 into a random access memory (RAM) 903 various treatments in the example. In the RAM 903, various programs and data necessary for the operation of the computer system 900 are also stored. The processing unit 901 , the ROM 902 and the RAM 903 are connected to each other through a bus 904 . An input/output (I/O) interface 905 is also connected to bus 904 .

The following components are connected to the I/O interface 905: an input section 906 including a keyboard, a mouse, etc.; an output section 907 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 908 including a hard disk, etc. ; and a communication section 909 including a network interface card such as a LAN card, a modem, and the like. The communication section 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to the I/O interface 905 as needed. A removable medium 911, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 910 as needed so that a computer program read therefrom is installed into the storage section 908 as needed. The processing unit 901 may be implemented as a processing unit such as a CPU, a GPU, a TPU, an FPGA, and an NPU.

In particular, according to embodiments of the present disclosure, the methods described above may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising computer instructions that, when executed by a processor, implement the method steps described above. In such an embodiment, the computer program product may be downloaded and installed from the network via the communication portion 909 and/or installed from the removable medium 911 .

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function(s) executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or operations , or can be implemented in a combination of dedicated hardware and computer instructions.

The units or modules involved in the embodiments of the present disclosure may be implemented in a software manner, or may be implemented in a programmable hardware manner. The described units or modules may also be provided in the processor, and the names of these units or modules do not constitute a limitation on the units or modules themselves in certain circumstances.

As another aspect, the present disclosure also provides a computer-readable storage medium, and the computer-readable storage medium may be a computer-readable storage medium included in the electronic device or computer system in the above-mentioned embodiments; it may also exist independently , a computer-readable storage medium that does not fit into a device. The computer-readable storage medium stores one or more programs used by one or more processors to perform the methods described in the present disclosure.

The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, and should also cover the above-mentioned technical features without departing from the inventive concept. Other technical solutions formed by any combination of its equivalent features. For example, a technical solution is formed by replacing the above features with the technical features disclosed in the present disclosure (but not limited to) with similar functions.

Claims (14)

1. A network monitoring method, comprising:

acquiring monitoring data of equipment in the network through an access gateway of the network, wherein the equipment in the network comprises the access gateway and other equipment in the network;

sending the monitoring data to a management platform server through the access gateway;

determining, by the management platform server, a quality score of the network based on the monitoring data, the quality score reflecting an operational state of the network.

2. The method of claim 1, further comprising processing the monitoring data by one or more of:

supplementing missing monitoring data of second equipment connected with the first equipment in the network according to the monitoring data of the first equipment in the network sent to the management platform server;

and according to a preset arbitration strategy, retaining the credible monitoring data in the similar monitoring data, and discarding the incredible monitoring data.

3. The method of claim 2, wherein:

supplementing missing monitoring data of a second device connected to a first device in the network according to the monitoring data of the first device in the network sent to the management platform server, including:

determining device type information of a third device connected with the second device according to the monitoring data of the first device, and associating the device type information of the third device with corresponding monitoring data of the second device; and/or determining interface flow information of the second equipment according to the interface flow information of the first equipment;

the preset arbitration policy comprises: when the network distance between the fourth device and the monitored object is smaller than the network distance between the fifth device and the monitored object, the credibility of the monitoring data of the fourth device about the monitored object is higher than that of the monitoring data of the fifth device about the monitored object.

4. The method of claim 1, wherein:

other devices in the network include switches and/or wireless access points;

the monitoring data includes at least one of: performance data, log data, device type information;

the performance data is one or more of: the utilization rate of a central processing unit, the utilization rate of a memory, the utilization rate of a bandwidth, the packet loss rate and the signal-to-noise ratio of terminal equipment;

the log data comprises error messages, wherein the error messages are used for describing abnormal events;

the device type information includes a hardware type and/or an operating system type.

5. The method of claim 4, wherein the determining a quality score for the network based on the monitoring data comprises:

and determining the quality score of the network according to the weighted sum of the scores of the performance data and/or the scores of the error messages, wherein the weight of each of the performance data and/or the error messages is determined according to the influence degree of each of the performance data and/or the error messages on a user.

6. The method of claim 5, wherein:

determining a score of the performance data according to a comparison result of the performance data and a corresponding performance threshold;

determining a score of the error message according to the type and/or severity of the error message;

and determining the influence degree of the performance data and/or the error message on the user according to the equipment type corresponding to the performance data and/or the error message.

7. A network monitoring method, comprising:

acquiring monitoring data of equipment in the network through an access gateway of the network, wherein the equipment in the network comprises the access gateway and other equipment in the network;

and sending the monitoring data to a management platform server through the access gateway, wherein the monitoring data is used for determining the quality score of the network by the management platform server, and the quality score reflects the running state of the network.

8. The method of claim 7, wherein:

the acquiring, by an access gateway of the network, monitoring data of a device in the network includes:

acquiring monitoring data of the access gateway through an acquisition probe program arranged on the access gateway;

and acquiring the monitoring data of the other equipment by the acquisition probe program according to the corresponding network transmission protocol supported by the other equipment.

9. A network monitoring method, comprising:

receiving monitoring data of devices in the network from an access gateway of the network, the devices in the network including the access gateway and other devices in the network;

determining a quality score for the network based on the monitoring data, the quality score reflecting an operational status of the network.

10. The method of claim 9, further comprising processing the monitoring data by one or more of:

supplementing missing monitoring data of second equipment connected with the first equipment in the network according to the monitoring data of the first equipment in the network sent to the management platform server;

and according to a preset arbitration strategy, retaining the credible monitoring data in the similar monitoring data, and discarding the incredible monitoring data.

11. The method of claim 9, wherein:

other devices in the network include switches and/or wireless access points;

the monitoring data includes at least one of: performance data, log data, device type information;

the performance data may include one or more of: the utilization rate of a central processing unit, the utilization rate of a memory, the utilization rate of a bandwidth, the packet loss rate and the signal-to-noise ratio of terminal equipment;

the log data comprises error messages, wherein the error messages are used for describing abnormal events;

the device type information comprises a hardware type and/or an operating system type;

the determining a quality score of the network based on the monitoring data comprises: and determining the quality score of the network according to the weighted sum of the scores of the performance data and/or the scores of the error messages, wherein the weights of the performance data and/or the error messages are determined according to the influence degrees of the performance data and/or the error messages on users respectively.

12. The method of claim 11, wherein:

determining a score of the performance data according to a comparison result of the performance data and a corresponding performance threshold;

determining a score of the error message according to the type and/or severity of the error message;

and determining the influence degree of the performance data and/or the error message on the user according to the equipment type corresponding to the performance data and/or the error message.

13. An electronic device comprising a memory and a processor; wherein the memory is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method steps of any of claims 7-12.

14. A computer program product comprising computer instructions which, when executed by a processor, carry out the method steps of any of claims 7 to 12.

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