Multi-convergence shunting equipment cluster management system and method

Abstract

The invention belongs to the field of convergence and distribution equipment, relates to a data analysis technology, and is used for solving the problem of low data transmission safety caused by the fact that the integrity of communication data cannot be detected in the prior art, in particular to a cluster management system and method for multiple convergence and distribution equipment. The cluster management platform is in communication connection with a flow monitoring module, a transmission evaluation module, a load monitoring module, an optimization analysis module and a storage module; the flow monitoring module is used for carrying out flow monitoring on the converging and shunting equipment and marking a data packet transmission process as a complete process or a lost process; according to the method, the overall transmission state of the convergence and distribution equipment can be periodically evaluated, differential marking is carried out on the transmission process in combination with the comparison result of the message number, then numerical processing is carried out on the differential marking result to obtain the loss coefficient, and the overall data transmission state in the evaluation period is fed back and evaluated through the loss coefficient.

Description

Technical Field

[0001] The present invention belongs to the field of convergence and distribution equipment, relates to data analysis technology, and specifically is a cluster management system and method for multiple convergence and distribution equipment. Background Art

[0002] Aggregation and diversion devices are network communication data transmission devices for big data processing and network traffic analysis and processing. Their function is to aggregate large quantities of network data into one port, and then divert the required data to different output ports according to the destination address. They play an important role in the current development of the digital economy of network communications.

[0003] The invention patent with announcement number CN111526067B discloses a network splitter and a communication method for the network splitter. By dividing the network splitter into three modules, namely, a business card, a CPU card and a power adapter card, the method can redevelop and upgrade each module separately to achieve module reuse, reduce development difficulty and cost, especially when the network iteration speed is fast and leads to high-frequency upgrades, avoid the situation where the entire device is upgraded due to the upgrade of part of the device function, reduce cost and development difficulty; however, the method cannot detect the integrity of the communication data, resulting in low security of data transmission. At the same time, the method cannot analyze the load balancing of the transmission tasks of each network port, resulting in low data transmission efficiency.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The object of the present invention is to provide a multi-convergence and diversion device cluster management system and method, which is used to solve the problem that the prior art cannot detect the integrity of communication data, resulting in low security of data transmission;

[0006] The technical problem to be solved by the present invention is: how to provide a multi-convergence and diversion device cluster management system and method that can detect the integrity of communication data.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A multi-convergence and distribution equipment cluster management system includes a cluster management platform, wherein the cluster management platform is communicatively connected with a flow monitoring module, a transmission evaluation module, a load monitoring module, an optimization analysis module and a storage module;

[0009] The traffic monitoring module is used to monitor the traffic flow of the convergence and distribution equipment and mark the data packet transmission process as a complete process or a lost process;

[0010] The transmission evaluation module is used to periodically evaluate the overall transmission status of the convergence and splitting device: generate an evaluation period, obtain the loss coefficient of the evaluation period and determine whether the overall transmission status of the convergence and splitting device in the evaluation period meets the requirements according to the loss coefficient;

[0011] The load monitoring module is used to monitor and analyze the port load of the convergence and distribution device: divide the evaluation period into several monitoring periods, obtain the balancing coefficient of the monitoring period at the end of the monitoring period, and mark the monitoring period as a balancing period or an optimization period according to the balancing coefficient;

[0012] The optimization analysis module is used to optimize and analyze the load balancing of the convergence and distribution equipment.

[0013] Furthermore, the specific process of marking the data packet transmission process as a complete process or a lost process includes: when the aggregation and diversion device receives a data packet from the outside, it automatically detects the destination MAC address or destination IP address of the data packet, locates the input port and output port of the specified IP traffic on the aggregation and diversion device, and counts the number of input packets and the number of output packets of the specified IP traffic, and determines whether the number of output packets of the specified IP traffic is consistent with the number of input packets: if they are consistent, the data packet traffic is determined to be complete, and the data packet transmission process is marked as a complete process; if they are inconsistent, the data packet traffic is determined to be lost, and the data packet transmission process is marked as a lost process, and a traffic loss signal is generated and sent to the administrator's mobile terminal through the cluster management platform.

[0014] Furthermore, the process of obtaining the loss coefficient includes: marking the number of loss processes and the number of complete processes of the convergence and splitting device within the evaluation period as loss values ​​and complete values ​​respectively, and marking the ratio of the loss value to the complete value as the loss coefficient of the convergence and splitting device within the evaluation period.

[0015] Furthermore, the specific process of determining whether the overall transmission status of the convergence and diversion device during the evaluation period meets the requirements includes: obtaining the loss threshold through the storage module, and comparing the loss coefficient with the loss threshold: if the loss coefficient is less than the loss threshold, it is determined that the overall transmission status of the convergence and diversion device during the evaluation period meets the requirements; if the loss coefficient is greater than or equal to the loss threshold, it is determined that the overall transmission status of the convergence and diversion device during the evaluation period does not meet the requirements, and a processing optimization signal is generated and sent to the administrator's mobile phone terminal.

[0016] Furthermore, the process of obtaining the balancing coefficient of the monitoring period includes: marking the connection port of the aggregation and diversion device as a monitoring object i, i = 1, 2, ..., n, n is a positive integer, obtaining the packet processing data CBi and the processing volume data CLi of the monitoring object i during the monitoring period, the packet processing data CBi is the number of data packets processed by the monitoring object i during the monitoring period, and the processing volume data CLi is the sum of the memory values ​​of all data packets processed by the monitoring object i during the monitoring period; obtaining the load coefficient FZi of the monitoring object i during the monitoring period through the formula FZi = k1*CBi+k2*CLi, where k1 and k2 are both proportional coefficients, and k1>k2>1; performing variance calculation on the load coefficients FZi of all monitoring objects i during the monitoring period to obtain the balancing coefficient of the monitoring period.

[0017] Furthermore, the specific process of marking the monitoring period as a balancing period or an optimization period includes: obtaining the balancing threshold through the storage module, and comparing the balancing coefficient with the balancing threshold: if the balancing coefficient is less than the balancing threshold, it is determined that the port load balancing of the aggregation and diversion device within the monitoring period meets the requirements, and the corresponding monitoring period is marked as a balancing period; if the balancing coefficient is greater than or equal to the balancing threshold, it is determined that the port load balancing of the aggregation and diversion device within the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an optimization period, a balancing optimization signal is generated and sent to the mobile terminal of the administrator through the cluster management platform.

[0018] Furthermore, the specific process of the optimization analysis module optimizing and analyzing the load balancing of the convergence and diversion equipment includes: marking the ratio of the number of optimization time periods to the number of monitoring time periods as the balanced performance value of the evaluation period at the end of the evaluation period, obtaining the balanced performance threshold through the storage module, and comparing the balanced performance value with the balanced performance threshold: if the balanced performance value is less than the balanced performance threshold, it is determined that the overall load balancing of the convergence and diversion equipment during the evaluation period meets the requirements; if the balanced performance value is greater than or equal to the balanced performance threshold, it is determined that the overall load balancing of the convergence and diversion equipment during the evaluation period does not meet the requirements, and a distribution analysis is performed on the optimization time period.

[0019] Furthermore, the specific process of performing distribution analysis on the optimization time periods includes: arranging all monitoring time periods in chronological order from first to last to obtain a monitoring sequence, performing variance calculation on the serial numbers of all analysis time periods in the monitoring sequence to obtain a concentration coefficient, obtaining a concentration threshold through a storage module, and comparing the concentration coefficient with the concentration threshold: if the concentration coefficient is less than the concentration threshold, a performance improvement signal is generated and sent to the mobile phone terminal of the manager through the cluster management platform; if the concentration coefficient is greater than or equal to the concentration threshold, an optimization training signal is generated and sent to the mobile phone terminal of the manager through the cluster management platform.

[0020] A method for managing a cluster of multiple convergence and distribution devices, comprising the following steps:

[0021] Step 1: Monitor the traffic flow of the aggregation and distribution device and mark the data packet transmission process as a complete process or a lost process;

[0022] Step 2: Periodically evaluate the overall transmission status of the convergence and distribution equipment and determine whether the overall transmission status of the convergence and distribution equipment within the evaluation period meets the requirements;

[0023] Step 3: Monitor and analyze the port load of the aggregation and distribution device and mark the monitoring period as a balancing period or an optimization period;

[0024] Step 4: Optimize and analyze the load balancing of the aggregation and distribution equipment and obtain the balanced performance value. Use the balanced performance value to determine whether the overall load balancing within the evaluation period meets the requirements. If it does not meet the requirements, perform distribution analysis on the optimization period and send performance improvement signals or optimization training signals to the manager's mobile terminal based on the distribution analysis results.

[0025] The present invention has the following beneficial effects:

[0026] 1. The traffic monitoring module can monitor the traffic of the convergence and distribution devices. Each time a data packet transmission task is processed, the number of packets of the specified IP traffic of the input port and the output port is compared to see if they are consistent. The comparison result is used to evaluate whether there is any traffic loss, and timely feedback and warning are given when traffic loss occurs.

[0027] 2. The transmission evaluation module can periodically evaluate the overall transmission status of the convergence and distribution equipment, differentiate the transmission process based on the comparison results of the number of messages, and then perform numerical processing on the differentiated marking results to obtain the loss coefficient. The loss coefficient is used to provide feedback and evaluation on the overall data transmission status within the evaluation period.

[0028] 3. The load monitoring module is used to monitor and analyze the port load of the convergence and diversion equipment, and the load balancing degree of all port processing tasks of the convergence and diversion equipment is monitored by time period analysis. When the load is unbalanced, optimization processing is performed to ensure the overall transmission efficiency of the convergence and diversion equipment;

[0029] 4. The optimization analysis module can be used to optimize and analyze the load balancing of the convergence and diversion devices. When the overall load balancing is abnormal, the processing decision can be marked through distribution analysis, and the corresponding processing signals can be generated and sent to improve the optimization efficiency of the convergence and diversion devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0032] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0033] The technical scheme of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0034] Embodiment 1: Figure 1 As shown, a multi-convergence and distribution device cluster management system includes a cluster management platform, and the cluster management platform is communicatively connected with a flow monitoring module, a transmission evaluation module, a load monitoring module, an optimization analysis module and a storage module.

[0035] The traffic monitoring module is used to monitor the traffic of the convergence and diversion devices: when the convergence and diversion devices receive data packets from the outside, they automatically detect the destination MAC address or destination IP address of the data packets, locate the input port and output port of the specified IP traffic on the convergence and diversion devices, and count the number of input packets and output packets of the specified IP traffic, and determine whether the number of output packets of the specified IP traffic is consistent with the number of input packets: if they are consistent, the data packet traffic is determined to be complete, and the data packet transmission process is marked as a complete process; if they are inconsistent, the data packet traffic is determined to be lost, and the data packet transmission process is marked as a lost process. At the same time, a traffic loss signal is generated and sent to the administrator's mobile terminal through the cluster management platform; each time a data packet transmission task is processed, the number of packets of the specified IP traffic at the input port and the output port is compared to see if they are consistent, and the comparison result is used to evaluate whether there is a traffic loss phenomenon, and then timely feedback and early warning are provided when traffic loss occurs.

[0036] The transmission evaluation module is used to periodically evaluate the overall transmission status of the convergence and diversion equipment: generate an evaluation cycle, mark the number of loss processes and the number of complete processes of the convergence and diversion equipment within the evaluation cycle as loss values ​​and complete values ​​respectively, mark the ratio of the loss value to the complete value as the loss coefficient of the convergence and diversion equipment within the evaluation cycle, obtain the loss threshold through the storage module, and compare the loss coefficient with the loss threshold: if the loss coefficient is less than the loss threshold, it is determined that the overall transmission status of the convergence and diversion equipment within the evaluation cycle meets the requirements; if the loss coefficient is greater than or equal to the loss threshold, it is determined that the overall transmission status of the convergence and diversion equipment within the evaluation cycle does not meet the requirements, generate a processing optimization signal and send the processing optimization signal to the mobile phone terminal of the administrator; periodically evaluate the overall transmission status of the convergence and diversion equipment, differentiate the transmission process based on the comparison result of the number of messages, and then numerically process the differentiated marking result to obtain the loss coefficient, and use the loss coefficient to feedback and evaluate the overall data transmission status within the evaluation cycle.

[0037] The load monitoring module is used to monitor and analyze the port load of the convergence and diversion device: mark the connection port of the convergence and diversion device as the monitoring object i, i = 1, 2, ..., n, n is a positive integer, divide the evaluation period into several monitoring time periods, obtain the packet processing data CBi and the processing volume data CLi of the monitoring object i in the monitoring period, the packet processing data CBi is the number of data packets processed by the monitoring object i in the monitoring period, and the processing volume data CLi is the sum of the memory values ​​of all data packets processed by the monitoring object i in the monitoring period; the load coefficient FZi of the monitoring object i in the monitoring period is obtained by the formula FZi = k1*CBi+k2*CLi, where k1 and k2 are both proportional coefficients, and k1>k2>1; the variance of the load coefficient FZi of all monitoring objects i in the monitoring period is calculated to obtain the monitoring The balancing coefficient of the time period is obtained through the storage module to obtain the balancing threshold, and the balancing coefficient is compared with the balancing threshold: if the balancing coefficient is less than the balancing threshold, it is determined that the port load balancing of the convergence and diversion device in the monitoring period meets the requirements, and the corresponding monitoring period is marked as a balancing period; if the balancing coefficient is greater than or equal to the balancing threshold, it is determined that the port load balancing of the convergence and diversion device in the monitoring period does not meet the requirements, the corresponding monitoring period is marked as an optimization period, and a balancing optimization signal is generated and sent to the administrator's mobile terminal through the cluster management platform; the port load of the convergence and diversion device is monitored and analyzed, and the load balancing degree of all port processing tasks of the convergence and diversion device is monitored in a time-divided analysis manner, and optimization processing is performed when the load is unbalanced to ensure the overall transmission efficiency of the convergence and diversion device.

[0038] The optimization analysis module is used to optimize and analyze the load balancing of the convergence and diversion equipment: at the end of the evaluation period, the ratio of the number of optimization time periods to the number of monitoring time periods is marked as the balanced performance value of the evaluation period, and the balanced performance threshold is obtained through the storage module, and the balanced performance value is compared with the balanced performance threshold: if the balanced performance value is less than the balanced performance threshold, it is determined that the overall load balancing of the convergence and diversion equipment during the evaluation period meets the requirements; if the balanced performance value is greater than or equal to the balanced performance threshold, it is determined that the overall load balancing of the convergence and diversion equipment during the evaluation period does not meet the requirements, and the distribution analysis of the optimization time period is performed: all monitoring time periods are arranged in order from the first to the last time to obtain a monitoring sequence, The variance of the serial numbers in the monitoring sequence of all analysis periods is calculated to obtain the concentration coefficient, and the concentration threshold is obtained through the storage module, and the concentration coefficient is compared with the concentration threshold: if the concentration coefficient is less than the concentration threshold, a performance improvement signal is generated and sent to the administrator's mobile terminal through the cluster management platform; if the concentration coefficient is greater than or equal to the concentration threshold, an optimization training signal is generated and sent to the administrator's mobile terminal through the cluster management platform; the load balancing of the convergence and diversion equipment is optimized and analyzed, and the processing decision is marked through distribution analysis when the overall load balancing is abnormal, and the corresponding processing signal is generated and sent to improve the optimization efficiency of the convergence and diversion equipment.

[0039] Embodiment 2: Figure 2 As shown, a multi-convergence and distribution device cluster management method includes the following steps:

[0040] Step 1: Monitor the traffic flow of the aggregation and distribution device and mark the data packet transmission process as a complete process or a lost process;

[0041] Step 2: Periodically evaluate the overall transmission status of the convergence and distribution equipment and determine whether the overall transmission status of the convergence and distribution equipment within the evaluation period meets the requirements;

[0042] Step 3: Monitor and analyze the port load of the aggregation and distribution device and mark the monitoring period as a balancing period or an optimization period;

[0043] Step 4: Optimize and analyze the load balancing of the aggregation and distribution equipment and obtain the balanced performance value. Use the balanced performance value to determine whether the overall load balancing within the evaluation period meets the requirements. If it does not meet the requirements, perform distribution analysis on the optimization period and send performance improvement signals or optimization training signals to the manager's mobile terminal based on the distribution analysis results.

[0044] A cluster management system and method for multiple convergence and diversion devices, when working, monitors the flow of convergence and diversion devices and marks the data packet transmission process as a complete process or a lost process; periodically evaluates the overall transmission status of the convergence and diversion devices and determines whether the overall transmission status of the convergence and diversion devices within the evaluation period meets the requirements; monitors and analyzes the port loads of the convergence and diversion devices and marks the monitoring period as a balancing period or an optimization period; optimizes and analyzes the load balancing of the convergence and diversion devices and obtains a balancing performance value, and determines whether the overall load balancing within the evaluation period meets the requirements through the balancing performance value. If the requirements are not met, a distribution analysis is performed on the optimization period and a performance improvement signal or an optimization training signal is sent to the mobile phone terminal of the manager according to the distribution analysis result.

[0045] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0046] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value. The coefficients in the formula are set by technicians in this field according to the actual situation; for example: formula FZi=k1*CBi+k2*CLi; technicians in this field collect multiple groups of sample data and set corresponding load coefficients for each group of sample data; substitute the set load coefficients and the collected sample data into the formula, any two formulas constitute a set of two-variable linear equations, screen the calculated coefficients and take the average, and obtain the values ​​of k1 and k2 as 3.52 and 3.07 respectively;

[0047] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding load coefficient for each group of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the load coefficient is proportional to the value of the packet data.

[0048] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0049] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A multi-convergence and distribution equipment cluster management system, characterized in that: It includes a cluster management platform, which is communicatively connected with a flow monitoring module, a transmission evaluation module, a load monitoring module, an optimization analysis module and a storage module; The traffic monitoring module is used to monitor the traffic flow of the convergence and distribution equipment and mark the data packet transmission process as a complete process or a lost process; The transmission evaluation module is used to periodically evaluate the overall transmission status of the convergence and splitting device: generate an evaluation period, obtain the loss coefficient of the evaluation period and determine whether the overall transmission status of the convergence and splitting device in the evaluation period meets the requirements according to the loss coefficient; The load monitoring module is used to monitor and analyze the port load of the convergence and distribution device: divide the evaluation period into several monitoring periods, obtain the balancing coefficient of the monitoring period at the end of the monitoring period, and mark the monitoring period as a balancing period or an optimization period according to the balancing coefficient; The optimization analysis module is used to optimize and analyze the load balancing of the convergence and distribution equipment.

2. A multi-convergence and distribution device cluster management system according to claim 1, characterized in that: The specific process of marking the data packet transmission process as a complete process or a lost process includes: when the aggregation and diversion device receives a data packet from the outside, it automatically detects the destination MAC address or destination IP address of the data packet, locates the input port and output port of the specified IP traffic on the aggregation and diversion device, and counts the number of input packets and the number of output packets of the specified IP traffic, and determines whether the number of output packets of the specified IP traffic is consistent with the number of input packets: if they are consistent, the data packet traffic is determined to be complete, and the data packet transmission process is marked as a complete process; if they are inconsistent, the data packet traffic is determined to be lost, and the data packet transmission process is marked as a lost process, and a traffic loss signal is generated and sent to the mobile phone terminal of the administrator through the cluster management platform.

3. A multi-convergence and distribution device cluster management system according to claim 2, characterized in that: The process of obtaining the loss coefficient includes: marking the number of loss processes and the number of complete processes of the convergence and diversion device within the evaluation period as loss value and complete value respectively, and marking the ratio of the loss value to the complete value as the loss coefficient of the convergence and diversion device within the evaluation period.

4. A multi-convergence and distribution device cluster management system according to claim 3, characterized in that: The specific process of determining whether the overall transmission status of the convergence and diversion equipment during the evaluation period meets the requirements includes: obtaining the loss threshold through the storage module, and comparing the loss coefficient with the loss threshold: if the loss coefficient is less than the loss threshold, it is determined that the overall transmission status of the convergence and diversion equipment during the evaluation period meets the requirements; if the loss coefficient is greater than or equal to the loss threshold, it is determined that the overall transmission status of the convergence and diversion equipment during the evaluation period does not meet the requirements, and a processing optimization signal is generated and sent to the administrator's mobile phone terminal.

5. A multi-convergence and distribution device cluster management system according to claim 4, characterized in that: The process of obtaining the balancing coefficient of the monitoring period includes: marking the connection port of the aggregation and diversion device as the monitoring object i, i = 1, 2, ..., n, n is a positive integer, obtaining the packet processing data CBi and the processing volume data CLi of the monitoring object i during the monitoring period, the packet processing data CBi is the number of data packets processed by the monitoring object i during the monitoring period, and the processing volume data CLi is the sum of the memory values ​​of all data packets processed by the monitoring object i during the monitoring period; obtaining the load coefficient FZi of the monitoring object i during the monitoring period through the formula FZi = k1*CBi+k2*CLi, wherein k1 and k2 are both proportional coefficients, and k1>k2>1; performing variance calculation on the load coefficients FZi of all monitoring objects i during the monitoring period to obtain the balancing coefficient of the monitoring period.

6. A multi-convergence and distribution device cluster management system according to claim 5, characterized in that: The specific process of marking the monitoring period as a balancing period or an optimization period includes: obtaining the balancing threshold through the storage module, and comparing the balancing coefficient with the balancing threshold: if the balancing coefficient is less than the balancing threshold, it is determined that the port load balancing of the aggregation and diversion device in the monitoring period meets the requirements, and the corresponding monitoring period is marked as a balancing period; if the balancing coefficient is greater than or equal to the balancing threshold, it is determined that the port load balancing of the aggregation and diversion device in the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an optimization period, generating a balancing optimization signal and sending the balancing optimization signal to the mobile terminal of the administrator through the cluster management platform.

7. A multi-convergence and distribution device cluster management system according to claim 6, characterized in that: The specific process of the optimization analysis module optimizing and analyzing the load balancing of the convergence and diversion equipment includes: at the end of the evaluation cycle, marking the ratio of the number of optimization time periods to the number of monitoring time periods as the balanced performance value of the evaluation cycle, obtaining the balanced performance threshold through the storage module, and comparing the balanced performance value with the balanced performance threshold: if the balanced performance value is less than the balanced performance threshold, it is determined that the overall load balancing of the convergence and diversion equipment during the evaluation cycle meets the requirements; if the balanced performance value is greater than or equal to the balanced performance threshold, it is determined that the overall load balancing of the convergence and diversion equipment during the evaluation cycle does not meet the requirements, and a distribution analysis is performed on the optimization time period.

8. A multi-convergence and distribution device cluster management system according to claim 7, characterized in that: The specific process of distribution analysis of the optimization time period includes: arranging all monitoring time periods in chronological order from first to last to obtain a monitoring sequence, performing variance calculation on the serial numbers of all analysis time periods in the monitoring sequence to obtain a concentration coefficient, obtaining a concentration threshold through a storage module, and comparing the concentration coefficient with the concentration threshold: if the concentration coefficient is less than the concentration threshold, a performance improvement signal is generated and sent to the mobile phone terminal of the manager through the cluster management platform; if the concentration coefficient is greater than or equal to the concentration threshold, an optimization training signal is generated and sent to the mobile phone terminal of the manager through the cluster management platform.

9. A method for managing a cluster of multiple convergence and distribution devices, characterized in that: The following steps are involved: Step 1: Monitor the traffic flow of the aggregation and distribution device and mark the data packet transmission process as a complete process or a lost process; Step 2: Periodically evaluate the overall transmission status of the convergence and distribution equipment and determine whether the overall transmission status of the convergence and distribution equipment within the evaluation period meets the requirements; Step 3: Monitor and analyze the port load of the aggregation and distribution device and mark the monitoring period as a balancing period or an optimization period; Step 4: Optimize and analyze the load balancing of the aggregation and distribution equipment and obtain the balanced performance value. Use the balanced performance value to determine whether the overall load balancing within the evaluation period meets the requirements. If it does not meet the requirements, perform distribution analysis on the optimization period and send performance improvement signals or optimization training signals to the manager's mobile terminal based on the distribution analysis results.

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