Communication network management platform

Abstract

The invention discloses a communication network management platform which comprises a unified topology discovery unit, a whole network monitoring unit, a fault management unit, a performance management unit and a report management unit. The unified topology discovery unit can collect and analyze the connection relation between devices in a communication network and generate a topological structure chart. And the whole network monitoring unit is in signal connection with the unified topology discovery unit and is used for monitoring the running state of the equipment in real time. And the fault management unit is in signal connection with the whole network monitoring unit and monitors the fault state of the equipment in real time. And the performance management unit is in signal connection with the unified topology discovery unit and the fault management unit, and can collect performance index data of the equipment and provide a large-scale IP network performance monitoring means. The report management unit is in signal connection with the performance management unit and can receive the performance index data provided by the performance management unit and perform report development; and authority management can be carried out on the generated report.

Description

Technical Field

[0001] The present invention relates to the technical field of communication networks, and in particular to a communication network management platform. Background Art

[0002] The communication network management platform is a system that integrates multiple functions such as network monitoring, resource management, and troubleshooting. It helps operators fully understand the network operation status and promptly discover and handle potential problems by real-time monitoring and data collection of various devices in the communication network, thereby ensuring the continuity and stability of communication services.

[0003] In the operation process of various communication networks, the communication network management platform plays a key role. However, in the face of users' increasingly complex IT environments, network administrators often find it difficult to detect the operating status of all devices in real time, and thus find it difficult to quickly handle network interruptions and failures. Therefore, a communication network management platform is needed that can promptly identify equipment failures and provide timely reminders. Summary of the invention

[0004] The purpose of the present invention is to provide a communication network management platform to help network administrators monitor the operating conditions of all devices in real time, quickly detect faults in devices, and prevent potential problems in devices.

[0005] In order to achieve the above object, the present invention provides a communication network management platform, comprising:

[0006] Unified topology discovery unit, collects and analyzes the connection relationship between devices in the communication network and generates a topology diagram;

[0007] The whole network monitoring unit is connected with the unified topology discovery unit signal to monitor the operation status of the equipment in real time;

[0008] The fault management unit is connected to the whole network monitoring unit by signal, and monitors the fault status of the device in real time; and the fault management unit can work in coordination with the whole network monitoring unit to monitor the device;

[0009] The performance management unit is respectively connected with the unified topology discovery unit and the fault management unit to collect performance index data of the equipment and provide a large-scale IP network performance monitoring method;

[0010] The report management unit is connected to the performance management unit, receives the performance indicator data provided by the performance management unit, and develops reports; it can also manage the permissions of the generated reports.

[0011] Optionally, the monitoring means of the performance management unit includes:

[0012] Equipment performance monitoring, obtaining equipment performance information;

[0013] Link layer monitoring to obtain connection relationship information between devices;

[0014] Path layer monitoring, obtaining the logical paths and subnet divisions of the communication network.

[0015] Optionally, the method for generating a topology structure graph using the unified topology discovery unit includes:

[0016] Step 1, obtaining device performance information by using the device performance monitoring of the performance management unit;

[0017] Step 2: Use the link layer monitoring and path layer monitoring of the performance management unit to obtain device connection relationship information, logical paths and subnet divisions of the communication network;

[0018] Step 3: Based on the device information collected in step 1 and the device connection relationship collected in step 2, the devices in the communication network are graphically represented to form a topology diagram.

[0019] Optionally, step 3 also includes: dynamically updating the topology diagram according to changes in devices in the communication network monitored in real time by the whole network monitoring unit; wherein the changes in the devices include: device operating status and replacement of new / old devices.

[0020] Optionally, step 2 further includes: for device connection relationships that cannot be discovered through automatic scanning, the network administrator can manually input and verify the connection relationships between devices to complete the supplement of the device connection relationships.

[0021] Optionally, in step 1, the method for acquiring device performance information includes:

[0022] Broadcast detection, by sending broadcast messages to the communication network system, requesting all responding devices to report their performance information and location information;

[0023] Protocol analysis, identifying device performance information in a communication network by analyzing the protocols used in the communication network;

[0024] Simple Network Management Protocol query: Use the Simple Network Management Protocol to send a query request to the device to obtain detailed configuration, performance information, and status information of the device.

[0025] Optionally, the whole network monitoring unit and the fault management unit work together to complete the method of equipment monitoring, including:

[0026] Step A, the whole network monitoring unit collects real-time monitoring performance indicator data from multiple data sources;

[0027] Step B: setting the alarm threshold of the indicator data collected in step A through the performance management unit, and defining the requirements and alarm levels for triggering the alarm through the fault management unit;

[0028] Step C, based on the alarm threshold set in step B and the requirement for triggering the alarm, the performance management unit performs an alarm threshold comparison or an anomaly detection model to determine and evaluate whether the indicator data collected in step A meets the requirement for triggering the alarm;

[0029] When the indicator data reaches the requirements for triggering an alarm, the fault management unit will issue an alarm according to the set alarm level, promptly reminding the network administrator to deal with the equipment failure problem, and transmit the equipment failure status to the entire network monitoring unit, and update the equipment operation status in the topology diagram; when the indicator data does not meet the requirements for triggering an alarm, it means that the equipment is operating normally.

[0030] Optionally, in step C, the method for establishing an anomaly detection model includes:

[0031] Step C1, collecting a data set for anomaly detection model;

[0032] Step C2, extracting characteristic indicators that can be used to judge equipment abnormality from various indicators in the data set, entering the data in the data set into the characteristic indicators, and preprocessing the missing data, abnormal data, and duplicate data in the entry process to construct a characteristic data set;

[0033] Step C3, dividing the feature data set into a training set, a validation set, and a test set; using the training set to establish the relationship between the feature data and the equipment fault state, and to establish a loss function; using the validation set to iteratively optimize the loss function, and to optimize the anomaly detection model;

[0034] The anomaly detection model is used to calculate the data in the test set to evaluate the accuracy of the anomaly test model in predicting the equipment operating status.

[0035] Optionally, in step B, the alarm threshold may be set by user customization, according to the fault cause provided by the fault management unit, or by obtaining a historical trend of performance indicator data through a report management unit.

[0036] Optionally, in step A, the data source includes: devices, servers, applications, and the performance indicator data includes: system resources, application performance, and network delay.

[0037] Compared with the prior art, the technical solution of the present invention has at least the following beneficial effects:

[0038] The present invention automatically scans the devices in the network through a unified topology discovery unit, collects and analyzes the connection relationship between the devices, establishes a complete network topology structure diagram, and dynamically refreshes the network topology structure diagram to ensure the real-time and accuracy of the topology structure diagram, thereby helping network administrators to monitor the operating conditions of all devices in real time. At the same time, the present invention monitors the operating status of all devices in real time through the coordinated work of the whole network monitoring unit and the fault management unit, discovers and solves potential problems of the devices, and prevents the occurrence of problems such as network interruption.

[0039] The present invention collects real-time indicator data from multiple data sources through a fault management unit, sets thresholds for specific indicators to define when to trigger an alarm, and conveniently and timely reminds network administrators to handle equipment faults.

[0040] The present invention establishes an anomaly detection model through machine learning algorithms, realizes automatic monitoring of the fault status of the whole network equipment, quickly locates the equipment fault point, and thus prevents the occurrence of network interruption and other faults. The training set, validation set, and test set are constructed using multiple data sources, and the collected data are processed by linear regression method to establish a hypothesis model and loss function, thereby obtaining the parameters of the anomaly detection model and realizing rapid detection of equipment failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a structural schematic diagram of the communication network management platform of the present invention.

[0042] Figure 2 The present invention provides an architectural diagram for establishing a topology diagram in the communication network management platform.

[0043] Figure 3 This is an architecture diagram for implementing device monitoring in the communication network management platform of the present invention.

[0044] Figure 4 The following is an architecture diagram for constructing an anomaly detection model in the communication network management platform of the present invention. DETAILED DESCRIPTION

[0045] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] In the description of the present invention, it should be noted that the terms "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0047] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0048] like Figure 1 As shown, the present invention provides a communication network management platform, including: a unified topology discovery unit, a whole network monitoring unit, a fault management unit, a performance management unit, and a report management unit. The unified topology discovery unit is respectively connected to the whole network monitoring unit and the performance management unit by signal, and receives the real-time operating status of the equipment of the whole network monitoring unit and the equipment performance index data collected by the performance management unit; the fault management unit is connected to the whole network monitoring unit by signal, and can judge whether the equipment has a fault according to the real-time monitored equipment performance data; the performance management unit is connected to the report management unit by signal, and can transmit and store the collected performance index data to the report management unit.

[0049] The unified topology discovery unit can collect and analyze the connection relationships between devices in the communication network, generate and display a topology diagram, and provide a visual operation interface to help network administrators monitor the operating status of all devices in real time, and directly click on the nodes in the topology diagram through the visual operation interface to enter the corresponding device operation panel.

[0050] The whole network monitoring unit is connected to the unified topology discovery unit by signal, and can monitor the operation status of all devices in the communication network in real time, and send the real-time monitoring results to the unified topology discovery unit to complete the update of the topology diagram. The monitoring results include: the online status of the device and performance indicator data.

[0051] The fault management unit is connected to the whole network monitoring unit by signal, and can monitor the fault status of the equipment in real time, and provide alarms and sound and light prompts when the equipment fault is monitored; the fault management unit can manually define the alarm levels of different faults, shield repeated alarms and flashing alarms, and reduce false alarms; at the same time, the fault management unit provides an alarm processing experience storage function, stores the cause and processing process of each alarm, provides a reference for future equipment maintenance, and helps to realize automated troubleshooting.

[0052] Furthermore, the fault management unit can work in coordination with the whole network monitoring unit to jointly monitor the operating status of the equipment in the communication network, and promptly issue an alarm for the detected equipment faults to remind the network administrator to handle the faults.

[0053] The performance management unit is connected to the unified topology discovery unit and the fault management unit respectively, and can collect performance indicator data of the equipment, provide large-scale IP network performance monitoring means, and support threshold alarms on network performance indicators. Among them, the monitoring means include: equipment performance monitoring, link layer monitoring, and path layer monitoring, which can identify network performance bottlenecks at different levels and provide data support for the optimization of the communication network.

[0054] Specifically, the performance information of the device can be obtained through the device performance monitoring, the connection relationship information between devices can be obtained through the link layer monitoring, and the logical path and subnet division of the communication network can be obtained through the path layer monitoring.

[0055] The report management unit is connected to the performance management unit by signal, can receive the performance indicator data provided by the performance management unit, and can develop reports based on the performance indicator data, thereby obtaining the historical trend of the performance indicator data. At the same time, the report management unit can manage the permissions of the generated reports. Among them, the report development can provide template-based report development and Web-based report generation, distribution and management functions; the report permission management can manage report permissions to meet the operation requirements of different users.

[0056] The performance management system automatically scans the device information, device connection relationship information and network path information in the network, and sends the device information, device connection relationship information and network path information to the unified topology discovery unit, and establishes a complete network topology structure diagram; the network topology structure diagram can be continuously and dynamically updated according to the changes of the device, the changes of the device connection relationship or the changes of the network path, ensuring the real-time and accuracy of the network topology structure diagram, and helping network administrators to monitor the operation status of all devices in real time. At the same time, the whole network monitoring unit and the fault management unit work together to monitor the operation status of all devices in real time, and detect and monitor whether the whole network equipment has faults in real time; the whole network monitoring unit collects real-time device indicator data from multiple data sources, selects characteristic indicators from the collected indicator data as indicators reflecting device failures, sets alarm thresholds for characteristic indicators, and defines the requirements for triggering alarms. By comparing whether the characteristic indicator data meets the alarm requirements, the device operation status is determined, and the device fault point is quickly located, effectively preventing network interruption and other equipment failure problems.

[0057] Specifically, the method of generating a topology structure diagram using the unified topology discovery unit includes:

[0058] Step 1: Automatically scan the devices in the communication network.

[0059] Use the device performance monitoring of the performance management unit to obtain device performance information. Perform broadcast detection on devices in the communication network by sending broadcast messages to the communication network system, requesting all responding devices to report their performance information and location information; and identify device performance information in the communication network by analyzing the protocols used in the communication network (including: Address Resolution Protocol, Dynamic Host Configuration Protocol, Internet Control Message Protocol), and perform protocol analysis on devices in the communication network; at the same time, use the Simple Network Management Protocol (SNMP) to send query requests to devices, obtain detailed configuration, performance information and status information of the devices, and perform SNMP queries on the communication network.

[0060] Step 2: Determine the connection relationship between devices.

[0061] The link layer monitoring and path layer monitoring of the performance management unit are used to obtain the device connection relationship information, the logical path and subnet division of the communication network. By analyzing the MAC address table and port status of the device, the physical connection relationship between the devices is determined to complete the link layer monitoring in the communication network; by parsing the routing table in the router, the logical path and subnet division in the communication network are obtained to complete the parsing of routing information. At the same time, the unified topology discovery unit supports user configuration. For the device connection relationship that cannot be discovered through automatic scanning, the network administrator can manually enter and verify the connection relationship between the devices to complete the supplement of the device connection relationship.

[0062] Step 3: Generate and dynamically refresh the topology diagram.

[0063] Based on the device performance information collected in step 1 and the device connection relationship collected in step 2, the devices in the communication network are graphically represented, and a topology structure diagram is constructed through a unified topology discovery unit.

[0064] According to the actual structure and complexity of the communication network, the topology diagram is displayed in layers for better understanding and analysis.

[0065] At the same time, the topology diagram can be dynamically updated according to the changes in the devices in the communication network monitored in real time by the whole network monitoring unit (including: device operation status and replacement of new / old devices). When new devices are added or old devices are removed in the communication network, the topology diagram will be automatically updated according to the newly added connection relationship of the new device or the connection relationship of the old device removed.

[0066] Specifically, the method of coordinating the whole network monitoring unit and the fault management unit to jointly complete the device monitoring includes:

[0067] Step A: Collection of monitoring data.

[0068] The whole network monitoring unit collects real-time monitoring performance indicator data from multiple data sources. The data sources include: devices (e.g., routers, switches, firewalls), servers, and applications; the performance indicator data include: system resources (e.g., CPU utilization, memory usage), application performance (e.g., response time, throughput), and network latency.

[0069] Step B: Set the threshold of the indicator data.

[0070] The alarm threshold of the indicator data collected in step A is set through the performance management unit, and the requirements and alarm levels for triggering alarms are defined through the fault management unit. The alarm threshold can be set through user-defined settings, according to the fault cause provided by the fault management unit, or through the historical trend of the performance indicator data obtained through the report management unit.

[0071] Step C: perform anomaly detection on each indicator.

[0072] Based on the alarm threshold set in step B and the requirements for triggering the alarm, the performance management unit compares the alarm threshold to determine and evaluate whether the indicator data collected in step A meets the requirements for triggering the alarm. When the indicator data meets the requirements for triggering the alarm, the fault management unit issues an alarm according to the set alarm level, promptly reminds the network administrator to handle the equipment fault problem, and transmits the equipment fault status to the whole network monitoring unit, and updates the equipment operation status in the topology diagram; when the indicator data does not meet the requirements for triggering the alarm, it indicates that the equipment is operating normally.

[0073] Furthermore, an anomaly detection model can be established to predict and alarm the device status, and the performance management unit can automatically evaluate whether the performance indicator data collected in step A triggers an alarm, so as to realize automatic optimization of the anomaly detection process. By collecting data from various sources such as network equipment, security systems, application logs and traffic analysis tools, a data set containing multiple performance indicator data is obtained, and the data set is divided into a training set, an experimental set and a test set; and the training set is trained using a linear regression algorithm to obtain a hypothesis function of the anomaly detection model; at the same time, an appropriate loss function (for example, mean square error) is selected to measure the difference between the predicted value and the true value of the model. Based on the experimental set, an optimization algorithm (for example, gradient descent method) is used to optimize the anomaly detection model parameters; by minimizing the loss function, the parameters of the anomaly detection model are estimated, and then the optimal solution of the anomaly detection model parameters is obtained. The test set is used to evaluate the performance of the model, the difference between the predicted value and the true value is calculated, and whether the anomaly detection model can judge the operating status of the device through the performance indicator data. The anomaly detection model that has passed the test is put into practical use, thereby realizing automatic detection of equipment failures.

[0074] Specifically, the method for establishing an anomaly detection model includes:

[0075] Step C1, collect the data set of the anomaly detection model.

[0076] The data set that needs to be collected includes not only the real-time monitoring performance indicator data obtained in step A, but also historical data such as network traffic data, session logs, system logs, and user behavior data obtained from self-security systems (such as intrusion detection systems IDS / IPS), log analysis tools, and traffic analysis tools.

[0077] Step C2, preprocessing the data in the data set.

[0078] Feature indicators that can be used to judge device abnormalities are extracted from various indicators in the data set, and the feature indicators include: traffic, number of data packets, connection duration, protocol type and source / destination IP address.

[0079] The data in the data set are entered into the feature indicators, and the feature data entered in the feature indicators are preprocessed at the same time, duplicate data in the feature data are deleted, missing data in the feature data are processed using interpolation, and abnormal data are processed using abnormal value processing methods such as the standardized value (Z-score) method or the interquartile range (IQR) method, so as to improve the quality of the feature data and obtain the preprocessed feature data set.

[0080] The linear regression method is used to perform linear processing on several groups of feature data in the feature data set to facilitate the establishment of subsequent anomaly detection models.

[0081] The data in the feature data set is digitized and normalized, and then the data in the feature data set is converted into a format that can be processed by machine learning.

[0082] Step C3, establishing an anomaly detection model.

[0083] The feature data set in step C2 is divided into a training set, a validation set, and a test set, and each set contains multiple sets of feature indicator data.

[0084] The anomaly detection model is trained using the training set, the relationship between feature data and equipment fault status is established, the hypothesis function of the anomaly detection model is constructed, and then the loss function of the anomaly detection model is constructed; at the same time, the loss function is iteratively optimized using the validation set, and the parameters of the anomaly detection model (including weights and bias parameters) are adjusted to obtain the minimum loss function value. The parameters of the machine learning model when the loss function reaches the minimum value are used as the current optimal parameters to optimize the anomaly detection model.

[0085] Step C4, evaluate the anomaly detection model.

[0086] The anomaly detection model is used to calculate the data in the test set to obtain the prediction results of the feature data detection in the test set. The prediction results are compared with the actual equipment status reflected by the feature data in the test set to evaluate the accuracy of the anomaly test model in predicting the equipment operating status.

[0087] When the anomaly detection model can accurately determine the device status corresponding to the performance indicator data in the test set, the anomaly detection model can be put into actual use; and based on the actually collected performance indicator data, it can be determined whether the device has failed, and then an alarm can be issued based on the device failure status and its corresponding alarm level, reminding network administrators to deal with the equipment failure problem in a timely manner.

[0088] To summarize, the present invention constructs and refreshes the topology structure diagram in real time through a unified topology discovery unit, thereby ensuring the real-time and accuracy of the topology structure diagram and helping network administrators to monitor the operating status of all devices in real time; at the same time, through the collaborative work of the whole network monitoring unit and the fault management unit, the operating status of the equipment is monitored in real time, and by constructing an abnormality detection model, it automatically detects whether there is a fault in the equipment status, thereby realizing rapid detection of equipment faults.

[0089] Although the content of the present invention has been described in detail through the above preferred embodiments, it should be appreciated that the above description should not be considered as a limitation of the present invention. After reading the above content, it will be apparent to those skilled in the art that various modifications and substitutions of the present invention will occur. Therefore, the protection scope of the present invention should be limited by the appended claims.

Claims

1. A communication network management platform, characterized in that: include: Unified topology discovery unit, collects and analyzes the connection relationship between devices in the communication network and generates a topology diagram; The whole network monitoring unit is connected with the unified topology discovery unit signal to monitor the operation status of the equipment in real time; The fault management unit is connected to the whole network monitoring unit signal to monitor the fault status of the equipment in real time; And the fault management unit can work in coordination with the whole network monitoring unit to monitor the device; The performance management unit is respectively connected with the unified topology discovery unit and the fault management unit to collect performance index data of the equipment and provide a large-scale IP network performance monitoring method; The report management unit is connected with the performance management unit by signal, receives the performance indicator data provided by the performance management unit, and develops the report; And it can manage permissions for the generated reports.

2. The communication network management platform according to claim 1, characterized in that: The monitoring means of the performance management unit include: Equipment performance monitoring, obtaining equipment performance information; Link layer monitoring to obtain connection relationship information between devices; Path layer monitoring, obtaining the logical path and subnet division of the communication network.

3. The communication network management platform according to claim 2, characterized in that: The method for generating a topology structure diagram using the unified topology discovery unit includes: Step 1, obtaining device performance information by using the device performance monitoring of the performance management unit; Step 2: Use the link layer monitoring and path layer monitoring of the performance management unit to obtain device connection relationship information, logical paths and subnet divisions of the communication network; Step 3: Based on the device information collected in step 1 and the device connection relationship collected in step 2, the devices in the communication network are graphically represented to form a topology diagram.

4. The communication network management platform according to claim 3, characterized in that: The step 3 also includes: dynamically updating the topology diagram according to changes in devices in the communication network monitored in real time by the whole network monitoring unit; wherein the changes in the devices include: device operating status and replacement of new / old devices.

5. The communication network management platform according to claim 3, characterized in that: The step 2 also includes: for the device connection relationship that cannot be discovered through automatic scanning, the network administrator can manually input and verify the connection relationship between the devices to complete the supplement of the device connection relationship.

6. The communication network management platform according to claim 3, characterized in that: In step 1, the device performance information acquisition method includes: Broadcast detection, by sending broadcast messages to the communication network system, requesting all responding devices to report their performance information and location information; Protocol analysis, identifying device performance information in a communication network by analyzing the protocols used in the communication network; Simple Network Management Protocol query: Use the Simple Network Management Protocol to send a query request to the device to obtain detailed configuration, performance information, and status information of the device.

7. The communication network management platform according to claim 4, characterized in that: The method in which the whole network monitoring unit and the fault management unit work together to complete the equipment monitoring includes: Step A, the whole network monitoring unit collects real-time monitoring performance indicator data from multiple data sources; Step B: setting the alarm threshold of the indicator data collected in step A through the performance management unit, and defining the requirements and alarm levels for triggering the alarm through the fault management unit; Step C, based on the alarm threshold set in step B and the requirement for triggering the alarm, the performance management unit performs an alarm threshold comparison or an anomaly detection model to determine and evaluate whether the indicator data collected in step A meets the requirement for triggering the alarm; When the indicator data reaches the requirements for triggering an alarm, the fault management unit will issue an alarm according to the set alarm level, promptly reminding the network administrator to deal with the equipment failure problem, and transmit the equipment failure status to the entire network monitoring unit, and update the equipment operation status in the topology diagram; when the indicator data does not meet the requirements for triggering an alarm, it means that the equipment is operating normally.

8. The communication network management platform according to claim 7, characterized in that: In step C, the method for establishing an anomaly detection model includes: Step C1, collecting a data set for anomaly detection model; Step C2, extracting characteristic indicators that can be used to judge equipment abnormality from various indicators in the data set, entering the data in the data set into the characteristic indicators, and preprocessing the missing data, abnormal data, and duplicate data in the entry process to construct a characteristic data set; Step C3, dividing the feature data set into a training set, a validation set, and a test set; using the training set to establish the relationship between the feature data and the equipment fault state, and to establish a loss function; using the validation set to iteratively optimize the loss function, and to optimize the anomaly detection model; The anomaly detection model is used to calculate the data in the test set to evaluate the accuracy of the anomaly test model in predicting the equipment operating status.

9. The communication network management platform according to claim 7, characterized in that: In the step B, the alarm threshold may be set by user customization, according to the fault cause provided by the fault management unit, or by obtaining the historical trend of the performance indicator data through the report management unit.

10. The communication network management platform according to claim 7, characterized in that: In step A, the data sources include: devices, servers, and applications, and the performance indicator data include: system resources, application performance, and network latency.

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