A cloud computing-based application gateway cluster platform data management system and method

Abstract

The present invention discloses a data management system and method for an application gateway cluster platform based on cloud computing, and belongs to the technical field of cloud computing. The present invention uses a gateway cluster control port to allocate gateway nodes to a target gateway cluster, monitors the status of each gateway node, and extracts the operation data of each gateway node; performs node data list association processing on a single gateway node, and constructs a regional node association set by acquiring regional associated nodes of each gateway node; constructs a single node operation analysis model to evaluate and analyze the request processing efficiency of each gateway node, and judges the abnormal state of the regional node by analyzing the efficiency evaluation of the regional associated node; locates the abnormal state node and analyzes the abnormal type in combination with historical abnormal data; outputs node data monitoring data for the regional gateway cluster, and feedbacks the positioning data and fault data of the abnormal gateway node.

Description

Technical Field

[0001] The present invention relates to the technical field of cloud computing, and in particular to a cloud computing-based application gateway cluster platform data management system and method. Background Art

[0002] The gateway cluster platform data management realizes the unified management of traffic control, service discovery, load balancing and security policies of large-scale distributed applications through centralized configuration and automation tools; it improves the flexibility and maintainability of the system and ensures the high availability and fault tolerance of gateway services;

[0003] The current gateway cluster management can effectively improve the gateway's data processing capabilities and request-bearing capabilities, ensuring the gateway network's pressure-bearing capacity and operating efficiency under high data flow conditions. Its distributed architecture can ensure the normal operation of the system in the presence of abnormal points; however, this model has hidden risks of abnormalities, because even if there are abnormal gateway nodes, it will not have a major impact on the entire gateway architecture, which will cause abnormal delayed detection of abnormal gateway nodes and cause long-term adverse effects on the entire gateway network. Summary of the invention

[0004] The purpose of the present invention is to provide an application gateway cluster platform data management system and method based on cloud computing to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A cloud computing-based application gateway cluster platform data management method, the method comprising the following steps:

[0007] S100, using the gateway cluster control port to allocate gateway nodes to the target gateway cluster, monitor the status of each gateway node, and extract the operating data of each gateway node;

[0008] S200, performing node data list association processing on a single gateway node, and constructing a regional association node set by acquiring regional association nodes of each gateway node;

[0009] S300, construct a single gateway node operation analysis model to evaluate and analyze the request processing efficiency of each gateway node, and determine the abnormal state of the regional associated node by analyzing the efficiency evaluation of the regional associated node; locate the abnormal state node and analyze the abnormal type in combination with the historical abnormal data;

[0010] S400: Output node data monitoring data to the target gateway cluster, and provide positioning data and fault data feedback to abnormal gateway nodes.

[0011] The S100 uses the gateway cluster control port to allocate gateway nodes to the target gateway cluster, monitors the status of each gateway node, and extracts the specific steps of the operation data of each gateway node as follows:

[0012] S101, using administrator privileges to access the gateway cluster control port, obtain gateway node allocation privileges to divide the gateway cluster into regional nodes and assign node numbers;

[0013] S102, acquiring the operation status and operation data of each gateway node by capturing the operation status data packet of the gateway node; the operation status is the switch status and resource occupancy rate of the current gateway node; the operation data is the request processing quantity and request processing time of the current gateway node.

[0014] The specific steps of performing node data list association processing on a single gateway node and building a regional association node set by acquiring regional association nodes of each gateway node are as follows:

[0015] S201, locate each gateway node by the gateway node number, associate the operation status and operation data extracted by each gateway node with the corresponding node number, and generate a real-time operation data information table of the corresponding gateway node; the real-time operation data information table uses the gateway node number as the header index, and obtains the real-time operation status and operation data of the corresponding gateway node according to the number header index;

[0016] S202, determine the target gateway node in the gateway cluster area, take the target gateway node as the starting point of the regional diffusion traversal, and traverse the adjacent gateway nodes connected to the current target gateway node; determine the regional associated node of the current target gateway node according to the traversal output, extract the regional associated node number and the corresponding real-time operation data information table to construct a regional associated node set.

[0017] The S300 constructs a single gateway node operation analysis model to evaluate the request processing efficiency of each gateway node, and determines the abnormal state of the regional associated node by analyzing the efficiency evaluation of the regional associated node; the specific steps of locating the abnormal state node and analyzing the abnormal type in combination with the historical abnormal data are as follows:

[0018] S301, perform operation analysis on each gateway node in the gateway cluster by constructing a single gateway node operation analysis model; obtain the real-time operation efficiency value of each node by analyzing the real-time request processing operation data efficiency of each node, and the calculation formula is: ;in is the real-time operating efficiency of the gateway node numbered n; is the real-time status parameter of the gateway node numbered n; The number of requests processed by the gateway node numbered n at the current time t; The number of requests allocated to gateway number n in the current period T; is the time for the target gateway to process the request at the current time t; T is the monitoring period; the real-time status parameters of the gateway are obtained according to the real-time resource conditions of the gateway, including memory, CPU and other utilization conditions;

[0019] S302, extracting the target area associated node set by taking the current target gateway node as the center point of the area node, respectively calculating the real-time operation efficiency of the area associated nodes to obtain the real-time operation efficiency value of each gateway node in the area associated node set; analyzing the comprehensive operation efficiency of the associated area gateway under the joint association of the area associated nodes, and the calculation formula is: ;in is the comprehensive operation efficiency value of the gateway in the associated area; is a set of regional associated nodes; is the number of associated nodes; is the regional association action parameter corresponding to each association node; The real-time operating efficiency of each associated node; is the average operating efficiency value of the regional associated nodes; and are the maximum and minimum values ​​of the operating efficiency of the regional associated nodes respectively; by judging the regional comprehensive operating efficiency under the joint action of the regional associated nodes and the efficiency of the single node of the regional associated nodes, the abnormal status of the current regional associated nodes is analyzed; by calculating the real-time operating efficiency of each node in the regional associated nodes, the independent regional comprehensive operating efficiency is calculated, and the calculation formula is: ;in is the comprehensive operating efficiency value of the independent area; if , then it is determined that the node associated with the current region is in normal operation; if , it is determined that there is an abnormal node in the current regional associated nodes; since the gateway cluster architecture is compared with a single gateway, the existence of an associated effect will improve the efficiency of the gateway operation. If the improvement brought by the joint action of the regional gateway associated nodes is not as good as the cumulative efficiency of a single gateway, it means that there is an abnormal node;

[0020] S303: Based on the judgment and analysis of the regional associated nodes, the regional associated nodes with abnormal gateway nodes are located and the abnormal type is analyzed; by retrieving the historical gateway node abnormal data in the database, a gateway abnormal type set is obtained. , the corresponding abnormal impact parameters The abnormal comparison index corresponding to each abnormal type ; Where z is the number of gateway anomaly types; Combined with historical anomaly data, anomaly analysis is performed on the nodes associated with the current anomaly area. The calculation formula is: ;in is the abnormal evaluation index of each gateway node in the regional associated node; the abnormal gateway node is determined by comparing the abnormal evaluation index of the gateway of each regional associated node. , then it is judged that the corresponding gateway node has an abnormality; when , then the corresponding gateway node is judged to be normal; after determining the abnormal gateway node, according to the calculation results of the abnormal index of each gateway abnormal type corresponding to the target abnormal gateway node, the gateway abnormal type corresponding to the maximum abnormal index is taken as the abnormal state type of the current abnormal gateway node; when determining the abnormal type of the gateway node in the abnormal associated area, there may be multiple abnormal types for an abnormal gateway, then the abnormal type corresponding to the maximum abnormal index is taken as the fault that causes the current gateway to run abnormally, because the main abnormality is taken as the main cause of determination, and the other abnormalities are passive abnormalities caused by the main abnormality.

[0021] The specific steps of S400 for outputting node data monitoring data to the target gateway cluster and providing positioning data and fault data feedback to the abnormal gateway node are as follows:

[0022] S401, annotate the data of each gateway node of the gateway cluster in the monitoring area, and perform comprehensive data analysis and output on the nodes associated with each area;

[0023] S402: The abnormal node is located and fed back to the management port, and the abnormal operation data and abnormal type are displayed.

[0024] A cloud computing-based application gateway cluster platform data management system, the system includes a gateway data acquisition module, a regional node association module, a gateway anomaly positioning analysis module and an anomaly feedback module;

[0025] The gateway data acquisition module uses the gateway cluster control port to allocate gateway nodes to the target gateway cluster, monitors the status of each gateway node, and extracts the operation data of each gateway node; the regional node association module performs node data list association processing on a single gateway node, and constructs a regional associated node set by acquiring the regional associated nodes of each gateway node; the gateway abnormality positioning analysis module constructs a single gateway node operation analysis model to evaluate and analyze the request processing efficiency of each gateway node, and determines the abnormal status of the regional associated node by analyzing the efficiency evaluation of the regional associated node; locates the abnormal state node and analyzes the abnormal type in combination with the historical abnormal data; the abnormal feedback module outputs the node data monitoring data of the regional gateway cluster, and provides positioning data and fault data feedback for the abnormal gateway node.

[0026] The gateway data acquisition module includes a gateway node allocation unit and a gateway data acquisition unit;

[0027] The gateway node allocation unit uses administrator authority to access the gateway cluster control port, obtains gateway node allocation authority, divides the gateway cluster into regional nodes and assigns node numbers;

[0028] The gateway data acquisition unit obtains the operating status and operating data of each gateway node by capturing the gateway node operating status data packet; the operating status is the switch status and resource occupancy rate of the current gateway node; the operating data is the request processing quantity and request processing time of the current gateway node.

[0029] The regional node association module includes a gateway node data association unit and a regional association node traversal unit;

[0030] The gateway node data association unit locates each gateway node by the gateway node number, associates the operation status and operation data extracted by each gateway node with the corresponding node number, and generates a real-time operation data information table of the corresponding gateway node; the real-time operation data information table uses the gateway node number as a header index, and obtains the real-time operation status and operation data of the corresponding gateway node according to the number header index;

[0031] The regional associated node traversal unit determines the target gateway node in the gateway cluster area, takes the target gateway node as the starting point of the regional diffusion traversal, and traverses the adjacent gateway nodes connected to the current target gateway node; determines the regional associated node of the current target gateway node according to the traversal output, extracts the regional associated node number and the corresponding real-time operation data information table to construct a regional associated node set.

[0032] The gateway anomaly location analysis module includes a node operation efficiency analysis unit, a regional associated node anomaly judgment unit and an abnormal gateway node determination unit;

[0033] The node operation efficiency analysis unit performs operation analysis on each gateway node of the gateway cluster by constructing a single gateway node operation analysis model; obtains the real-time operation efficiency value of each node by analyzing the efficiency of real-time request processing operation data of each node;

[0034] The regional associated node abnormality judgment unit extracts the target regional associated node set by taking the current target gateway node as the regional node center point, and respectively calculates the real-time operation efficiency of the regional associated nodes to obtain the real-time operation efficiency value of each gateway node in the regional associated node set; analyzes the comprehensive operation efficiency of the associated regional gateway under the joint association of the regional associated nodes; analyzes the abnormal condition of the current regional associated node by judging the regional comprehensive operation efficiency under the joint action of the regional associated nodes and the efficiency of the single node of the regional associated node; calculates the independent regional comprehensive operation efficiency of the real-time operation efficiency of each node in the regional associated node; and judges the abnormality of the regional associated node by combining the analysis results of the comprehensive operation efficiency of the associated regional gateway and the independent regional comprehensive operation efficiency;

[0035] The abnormal gateway node determination unit locates abnormal nodes and analyzes abnormal types of regional associated nodes where abnormal gateway nodes exist based on the judgment and analysis of regional associated nodes; obtains a gateway abnormal type set, corresponding abnormal impact parameters, and abnormal comparison indexes corresponding to each abnormal type by retrieving historical gateway node abnormal data in a database; performs abnormal analysis on the current abnormal regional associated nodes in combination with the historical abnormal data; determines the abnormal gateway nodes by comparing the abnormal evaluation indexes of the gateways of each regional associated node; after determining the abnormal gateway nodes, according to the calculation results of the abnormal indexes corresponding to each gateway abnormal type of the target abnormal gateway node, the gateway abnormal type corresponding to the maximum abnormal index is taken as the abnormal state type of the current abnormal gateway node.

[0036] The abnormal feedback module includes a gateway node data display unit and an abnormal gateway node output unit;

[0037] The gateway node data display unit performs data annotation of each gateway node of the gateway cluster in the monitoring area, and performs comprehensive data analysis and output of the nodes associated with each area;

[0038] The abnormal gateway node output unit feeds back the abnormal node location to the management port and displays the abnormal operation data and the abnormal type.

[0039] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention realizes the operation efficiency analysis of each node, the comprehensive efficiency analysis of the regional associated nodes, the positioning of abnormal nodes and the abnormal type analysis by dividing the nodes into regional gateway cluster monitoring and extracting the operation data; the present invention combines the operation efficiency of a single node with the comprehensive operation efficiency analysis of the regional associated nodes, analyzes the abnormal state of the regional associated nodes, and performs synchronous abnormal analysis on the abnormal associated nodes by combining the abnormal type data; the present invention performs detection and analysis based on the hidden abnormal conditions existing in the abnormal gateway nodes under the gateway cluster architecture, improves the detection efficiency and positioning of abnormal points in the gateway cluster architecture, and reduces the adverse risks of abnormal gateway nodes to the gateway network. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0041] Figure 1 It is a structural schematic diagram of an application gateway cluster platform data management system based on cloud computing of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0043] See also Figure 1 , the present invention provides a technical solution:

[0044] A cloud computing-based application gateway cluster platform data management method, the method comprising the following steps:

[0045] S100, using the gateway cluster control port to allocate gateway nodes to the target gateway cluster, monitor the status of each gateway node, and extract the operating data of each gateway node;

[0046] S200, performing node data list association processing on a single gateway node, and constructing a regional association node set by acquiring regional association nodes of each gateway node;

[0047] S300, construct a single gateway node operation analysis model to evaluate and analyze the request processing efficiency of each gateway node, and determine the abnormal state of the regional associated node by analyzing the efficiency evaluation of the regional associated node; locate the abnormal state node and analyze the abnormal type in combination with the historical abnormal data;

[0048] S400: Output node data monitoring data to the target gateway cluster, and provide positioning data and fault data feedback to abnormal gateway nodes.

[0049] The S100 uses the gateway cluster control port to allocate gateway nodes to the target gateway cluster, monitors the status of each gateway node, and extracts the specific steps of the operation data of each gateway node as follows:

[0050] S101, using administrator privileges to access the gateway cluster control port, obtain gateway node allocation privileges to divide the gateway cluster into regional nodes and assign node numbers;

[0051] S102, acquiring the operation status and operation data of each gateway node by capturing the operation status data packet of the gateway node; the operation status is the switch status and resource occupancy rate of the current gateway node; the operation data is the request processing quantity and request processing time of the current gateway node.

[0052] The specific steps of performing node data list association processing on a single gateway node and building a regional association node set by acquiring regional association nodes of each gateway node are as follows:

[0053] S201, locate each gateway node by the gateway node number, associate the operation status and operation data extracted by each gateway node with the corresponding node number, and generate a real-time operation data information table of the corresponding gateway node; the real-time operation data information table uses the gateway node number as the header index, and obtains the real-time operation status and operation data of the corresponding gateway node according to the number header index;

[0054] S202, determine the target gateway node in the gateway cluster area, take the target gateway node as the starting point of the regional diffusion traversal, and traverse the adjacent gateway nodes connected to the current target gateway node; determine the regional associated node of the current target gateway node according to the traversal output, extract the regional associated node number and the corresponding real-time operation data information table to construct a regional associated node set.

[0055] The S300 constructs a single gateway node operation analysis model to evaluate the request processing efficiency of each gateway node, and determines the abnormal state of the regional associated node by analyzing the efficiency evaluation of the regional associated node; the specific steps of locating the abnormal state node and analyzing the abnormal type in combination with the historical abnormal data are as follows:

[0056] S301, perform operation analysis on each gateway node in the gateway cluster by constructing a single gateway node operation analysis model; obtain the real-time operation efficiency value of each node by analyzing the real-time request processing operation data efficiency of each node, and the calculation formula is: ;in is the real-time operating efficiency of the gateway node numbered n; is the real-time status parameter of the gateway node numbered n; The number of requests processed by the gateway node numbered n at the current time t; The number of requests allocated to gateway number n in the current period T; It is the time for the target gateway to process the request at the current moment t; T is the monitoring period;

[0057] S302, extracting the target area associated node set by taking the current target gateway node as the center point of the area node, respectively calculating the real-time operation efficiency of the area associated nodes to obtain the real-time operation efficiency value of each gateway node in the area associated node set; analyzing the comprehensive operation efficiency of the associated area gateway under the joint association of the area associated nodes, and the calculation formula is: ;in is the comprehensive operation efficiency value of the gateway in the associated area; is a set of regional associated nodes; is the number of associated nodes; is the regional association action parameter corresponding to each association node; The real-time operating efficiency of each associated node; is the average operating efficiency value of the regional associated nodes; and are the maximum and minimum values ​​of the operating efficiency of the regional associated nodes respectively; by judging the regional comprehensive operating efficiency under the joint action of the regional associated nodes and the efficiency of the single node of the regional associated nodes, the abnormal status of the current regional associated nodes is analyzed; by calculating the real-time operating efficiency of each node in the regional associated nodes, the independent regional comprehensive operating efficiency is calculated, and the calculation formula is: ;in is the comprehensive operating efficiency value of the independent area; if , then it is determined that the node associated with the current region is in normal operation; if , it is determined that there are abnormal nodes in the associated nodes of the current region;

[0058] S303: Based on the judgment and analysis of the regional associated nodes, the regional associated nodes with abnormal gateway nodes are located and the abnormal type is analyzed; by retrieving the historical gateway node abnormal data in the database, a gateway abnormal type set is obtained. , the corresponding abnormal impact parameters The abnormal comparison index corresponding to each abnormal type ; Where z is the number of gateway anomaly types; Combined with historical anomaly data, anomaly analysis is performed on the nodes associated with the current anomaly area. The calculation formula is: ;in is the abnormal evaluation index of each gateway node in the regional associated node; the abnormal gateway node is determined by comparing the abnormal evaluation index of the gateway of each regional associated node. , then it is judged that the corresponding gateway node has an abnormality; when , then the corresponding gateway node is judged to be normal; after determining the abnormal gateway node, according to the calculation results of the abnormal index of each gateway abnormal type corresponding to the target abnormal gateway node, the gateway abnormal type corresponding to the maximum abnormal index is taken as the abnormal state type of the current abnormal gateway node.

[0059] The specific steps of S400 for outputting node data monitoring data to the target gateway cluster and providing positioning data and fault data feedback to the abnormal gateway node are as follows:

[0060] S401, annotate the data of each gateway node of the gateway cluster in the monitoring area, and perform comprehensive data analysis and output on the nodes associated with each area;

[0061] S402: The abnormal node is located and fed back to the management port, and the abnormal operation data and abnormal type are displayed.

[0062] A cloud computing-based application gateway cluster platform data management system, the system includes a gateway data acquisition module, a regional node association module, a gateway anomaly positioning analysis module and an anomaly feedback module;

[0063] The gateway data acquisition module uses the gateway cluster control port to allocate gateway nodes to the target gateway cluster, monitors the status of each gateway node, and extracts the operation data of each gateway node; the regional node association module performs node data list association processing on a single gateway node, and constructs a regional associated node set by acquiring the regional associated nodes of each gateway node; the gateway abnormality positioning analysis module constructs a single gateway node operation analysis model to evaluate and analyze the request processing efficiency of each gateway node, and determines the abnormal status of the regional associated node by analyzing the efficiency evaluation of the regional associated node; locates the abnormal state node and analyzes the abnormal type in combination with the historical abnormal data; the abnormal feedback module outputs the node data monitoring data of the regional gateway cluster, and provides positioning data and fault data feedback for the abnormal gateway node.

[0064] The gateway data acquisition module includes a gateway node allocation unit and a gateway data acquisition unit;

[0065] The gateway node allocation unit uses administrator authority to access the gateway cluster control port, obtains gateway node allocation authority, divides the gateway cluster into regional nodes and assigns node numbers;

[0066] The gateway data acquisition unit obtains the operating status and operating data of each gateway node by capturing the gateway node operating status data packet; the operating status is the switch status and resource occupancy rate of the current gateway node; the operating data is the request processing quantity and request processing time of the current gateway node.

[0067] The regional node association module includes a gateway node data association unit and a regional association node traversal unit;

[0068] The gateway node data association unit locates each gateway node by the gateway node number, associates the operation status and operation data extracted by each gateway node with the corresponding node number, and generates a real-time operation data information table of the corresponding gateway node; the real-time operation data information table uses the gateway node number as a header index, and obtains the real-time operation status and operation data of the corresponding gateway node according to the number header index;

[0069] The regional associated node traversal unit determines the target gateway node in the gateway cluster area, takes the target gateway node as the starting point of the regional diffusion traversal, and traverses the adjacent gateway nodes connected to the current target gateway node; determines the regional associated node of the current target gateway node according to the traversal output, extracts the regional associated node number and the corresponding real-time operation data information table to construct a regional associated node set.

[0070] The gateway anomaly location analysis module includes a node operation efficiency analysis unit, a regional associated node anomaly judgment unit and an abnormal gateway node determination unit;

[0071] The node operation efficiency analysis unit performs operation analysis on each gateway node of the gateway cluster by constructing a single gateway node operation analysis model; obtains the real-time operation efficiency value of each node by analyzing the efficiency of real-time request processing operation data of each node;

[0072] The regional associated node abnormality judgment unit extracts the target regional associated node set by taking the current target gateway node as the regional node center point, and respectively calculates the real-time operation efficiency of the regional associated nodes to obtain the real-time operation efficiency value of each gateway node in the regional associated node set; analyzes the comprehensive operation efficiency of the associated regional gateway under the joint association of the regional associated nodes; analyzes the abnormal condition of the current regional associated node by judging the regional comprehensive operation efficiency under the joint action of the regional associated nodes and the efficiency of the single node of the regional associated node; calculates the independent regional comprehensive operation efficiency of the real-time operation efficiency of each node in the regional associated node; and judges the abnormality of the regional associated node by combining the analysis results of the comprehensive operation efficiency of the associated regional gateway and the independent regional comprehensive operation efficiency;

[0073] The abnormal gateway node determination unit locates abnormal nodes and analyzes abnormal types of regional associated nodes where abnormal gateway nodes exist based on the judgment and analysis of regional associated nodes; obtains a gateway abnormal type set, corresponding abnormal impact parameters, and abnormal comparison indexes corresponding to each abnormal type by retrieving historical gateway node abnormal data in a database; performs abnormal analysis on the current abnormal regional associated nodes in combination with the historical abnormal data; determines the abnormal gateway nodes by comparing the abnormal evaluation indexes of the gateways of each regional associated node; after determining the abnormal gateway nodes, according to the calculation results of the abnormal indexes corresponding to each gateway abnormal type of the target abnormal gateway node, the gateway abnormal type corresponding to the maximum abnormal index is taken as the abnormal state type of the current abnormal gateway node.

[0074] The abnormal feedback module includes a gateway node data display unit and an abnormal gateway node output unit;

[0075] The gateway node data display unit performs data annotation of each gateway node of the gateway cluster in the monitoring area, and performs comprehensive data analysis and output of the nodes associated with each area;

[0076] The abnormal gateway node output unit feeds back the abnormal node location to the management port and displays the abnormal operation data and abnormal type;

[0077] In the examples:

[0078] At present, a certain enterprise has a demand for gateway cluster data monitoring. It equips the cloud computing-based application gateway cluster platform data management system of the present invention to detect abnormal points in the gateway cluster network; then uses the administrator authority to enter the gateway cluster control port, obtains the gateway node allocation authority to divide the gateway cluster into regional nodes and assign node numbers; obtains the operating status and operating data of each gateway node by capturing the gateway node operating status data packet;

[0079] Each gateway node is located by the gateway node number, and the operation status and operation data extracted from each gateway node are associated with the corresponding node number to generate a real-time operation data information table of the corresponding gateway node; the target gateway node is determined in the gateway cluster area, and the target gateway node is used as the starting point of the regional diffusion traversal, and the adjacent gateway nodes connected to the current target gateway node are traversed; the regional associated node of the current target gateway node is determined according to the traversal output, and the regional associated node number and the corresponding real-time operation data information table are extracted to construct a regional associated node set;

[0080] By building a single gateway node operation analysis model, the operation analysis of each gateway node in the gateway cluster is performed; by analyzing the real-time request processing operation data efficiency of each node, the real-time operation efficiency value of each node is obtained, and the calculation formula is: ; By taking the current target gateway node as the center point of the regional node, the target regional associated node set is extracted, and the real-time operation efficiency of the regional associated nodes is calculated to obtain the real-time operation efficiency value of each gateway node in the regional associated node set; the comprehensive operation efficiency of the associated regional gateway under the joint association of the regional associated nodes is analyzed, and the calculation formula is: ; By judging the regional comprehensive operation efficiency under the joint action of regional association nodes and the efficiency of a single node of regional association nodes, the abnormal status of the current regional association nodes is analyzed; by calculating the real-time operation efficiency of each node in the regional association nodes, the independent regional comprehensive operation efficiency is calculated, and the calculation formula is: ;like , then it is determined that the node associated with the current region is in normal operation; if , it is determined that there are abnormal nodes in the associated nodes of the current region;

[0081] According to the judgment and analysis of regional associated nodes, the abnormal point location and abnormal type analysis of regional associated nodes with abnormal gateway nodes are performed; the gateway abnormal type set is obtained by retrieving historical gateway node abnormal data in the database. , the corresponding abnormal impact parameters The abnormal comparison index corresponding to each abnormal type ; Combine historical abnormal data to perform abnormal analysis on the nodes associated with the current abnormal area. The calculation formula is: ; By comparing the abnormal evaluation index of the node gateways associated with each region, the abnormal gateway nodes are determined. , then it is judged that the corresponding gateway node has an abnormality; when , then the corresponding gateway node is judged to be normal; after determining the abnormal gateway node, according to the calculation results of the abnormal index of each gateway abnormal type corresponding to the target abnormal gateway node, the gateway abnormal type corresponding to the maximum abnormal index is taken as the abnormal state type of the current abnormal gateway node;

[0082] The gateway cluster in the monitoring area is labeled with data of each gateway node, and comprehensive data analysis and output are performed on the associated nodes in each area; the abnormal node location is fed back to the management port, and the abnormal operation data and abnormal type are displayed.

[0083] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0084] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A data management method for an application gateway cluster platform based on cloud computing, characterized in that: The method comprises the following steps: S100, using the gateway cluster control port to allocate gateway nodes to the target gateway cluster, monitor the status of each gateway node, and extract the operating data of each gateway node; S200, performing node data list association processing on a single gateway node, and constructing a regional association node set by acquiring regional association nodes of each gateway node; The specific steps of S200 are as follows: S201, locate each gateway node by the gateway node number, associate the operation status and operation data extracted by each gateway node with the corresponding node number, and generate a real-time operation data information table of the corresponding gateway node; the real-time operation data information table uses the gateway node number as the header index, and obtains the real-time operation status and operation data of the corresponding gateway node according to the number header index; S202, determining the target gateway node in the gateway cluster area, taking the target gateway node as the starting point of the regional diffusion traversal, traversing the adjacent gateway nodes connected to the current target gateway node; determining the regional associated node of the current target gateway node according to the traversal output, extracting the regional associated node number and the corresponding real-time operation data information table to construct a regional associated node set; S300, construct a single gateway node operation analysis model to evaluate and analyze the request processing efficiency of each gateway node, and determine the abnormal state of the regional associated node by analyzing the efficiency evaluation of the regional associated node; locate the abnormal state node and analyze the abnormal type in combination with the historical abnormal data; S400: Output node data monitoring data to the target gateway cluster, and provide positioning data and fault data feedback to abnormal gateway nodes.

2. According to the cloud computing-based application gateway cluster platform data management method of claim 1, it is characterized by: The S100 uses the gateway cluster control port to allocate gateway nodes to the target gateway cluster, monitors the status of each gateway node, and extracts the specific steps of the operation data of each gateway node as follows: S101, using administrator privileges to access the gateway cluster control port, obtain gateway node allocation privileges to divide the gateway cluster into regional nodes and assign node numbers; S102, acquiring the operation status and operation data of each gateway node by capturing the operation status data packet of the gateway node; the operation status is the switch status and resource occupancy rate of the current gateway node; the operation data is the request processing quantity and request processing time of the current gateway node.

3. According to the cloud computing-based application gateway cluster platform data management method of claim 2, it is characterized by: The S300 constructs a single-node operation analysis model to evaluate the request processing efficiency of each gateway node, and determines the abnormal state of the regional associated node by analyzing the efficiency evaluation of the regional associated node; the specific steps of locating the abnormal state node and analyzing the abnormal type in combination with the historical abnormal data are as follows: S301, perform operation analysis on each gateway node in the gateway cluster by constructing a single gateway node operation analysis model; obtain the real-time operation efficiency value of each node by analyzing the real-time request processing operation data efficiency of each node, and the calculation formula is: ;in is the real-time operating efficiency of the gateway node numbered n; is the real-time status parameter of the gateway node numbered n; The number of requests processed by the gateway node numbered n at the current time t; The number of requests allocated to gateway number n in the current period T; The time when the target gateway processes the request at the current moment t; T is the monitoring period; S302, extracting the target area associated node set by taking the current target gateway node as the center point of the area node, respectively calculating the real-time operation efficiency of the area associated nodes to obtain the real-time operation efficiency value of each gateway node in the area associated node set; analyzing the comprehensive operation efficiency of the associated area gateway under the joint association of the area associated nodes, and the calculation formula is: ;in is the comprehensive operation efficiency value of the gateway in the associated area; is a set of regional associated nodes; is the number of associated nodes; is the regional association action parameter corresponding to each association node; The real-time operating efficiency of each associated node; is the average operating efficiency value of the regional associated nodes; and Oe s (min) are the maximum and minimum values ​​of the regional associated node operation efficiency values, respectively; by judging the regional comprehensive operation efficiency under the joint action of the regional associated nodes and the efficiency of the single node of the regional associated nodes, the abnormal status of the current regional associated nodes is analyzed; by calculating the independent regional comprehensive operation efficiency of each node in the regional associated nodes in real time, the calculation formula is: ;in is the comprehensive operating efficiency value of the independent area; if , then it is determined that the node associated with the current region is in normal operation; if , it is determined that there are abnormal nodes in the associated nodes of the current region; S303: Based on the judgment and analysis of the regional associated nodes, the regional associated nodes with abnormal gateway nodes are located and the abnormal type is analyzed; by retrieving the historical gateway node abnormal data in the database, a gateway abnormal type set is obtained. , the corresponding abnormal impact parameters The abnormal comparison index corresponding to each abnormal type ; Where z is the number of gateway anomaly types; combined with historical anomaly data, anomaly analysis is performed on the nodes associated with the current anomaly area, and the calculation formula is: ;in is the abnormal evaluation index of each gateway node in the regional associated node; the abnormal gateway node is determined by comparing the abnormal evaluation index of the gateway of each regional associated node. , then it is determined that the corresponding gateway node has an abnormality; when , then the corresponding gateway node is judged to be normal; after determining the abnormal gateway node, according to the calculation results of the abnormal index of each gateway abnormal type corresponding to the target abnormal gateway node, the gateway abnormal type corresponding to the maximum abnormal index is taken as the abnormal state type of the current abnormal gateway node.

4. The method for managing data of an application gateway cluster platform based on cloud computing according to claim 3, characterized in that: The specific steps of S400 for outputting node data monitoring data to the target gateway cluster and providing positioning data and fault data feedback to the abnormal gateway node are as follows: S401, annotate the data of each gateway node of the gateway cluster in the monitoring area, and perform comprehensive data analysis and output on the nodes associated with each area; S402: The abnormal node is located and fed back to the management port, and the abnormal operation data and abnormal type are displayed.

5. A cloud computing-based application gateway cluster platform data management system, using a cloud computing-based application gateway cluster platform data management method as claimed in any one of claims 1 to 4, characterized in that: The system includes a gateway data acquisition module, a regional node association module, a gateway anomaly positioning analysis module and an anomaly feedback module; The gateway data acquisition module uses the gateway cluster control port to allocate gateway nodes to the target gateway cluster, monitors the status of each gateway node, and extracts the operation data of each gateway node; the regional node association module performs node data list association processing on a single gateway node, and constructs a regional association node set by acquiring the regional association nodes of each gateway node; The gateway abnormality location analysis module constructs a single gateway node operation analysis model to evaluate and analyze the request processing efficiency of each gateway node, and determines the abnormal state of the regional associated node by analyzing the efficiency evaluation of the regional associated node; Combined with historical abnormal data, the abnormal state nodes are located and the abnormal type is analyzed; the abnormal feedback module outputs node data monitoring data for the regional gateway cluster, and provides positioning data and fault data feedback for the abnormal gateway nodes.

6. The cloud computing-based application gateway cluster platform data management system according to claim 5, characterized in that: The gateway data acquisition module includes a gateway node allocation unit and a gateway data acquisition unit; The gateway node allocation unit uses administrator authority to access the gateway cluster control port, obtains gateway node allocation authority, divides the gateway cluster into regional nodes and assigns node numbers; The gateway data acquisition unit obtains the operating status and operating data of each gateway node by capturing the gateway node operating status data packet; the operating status is the switch status and resource occupancy rate of the current gateway node; the operating data is the request processing quantity and request processing time of the current gateway node.

7. The cloud computing-based application gateway cluster platform data management system according to claim 6, characterized in that: The regional node association module includes a gateway node data association unit and a regional association node traversal unit; The gateway node data association unit locates each gateway node by the gateway node number, associates the operation status and operation data extracted by each gateway node with the corresponding node number, and generates a real-time operation data information table of the corresponding gateway node; The real-time operation data information table uses the gateway node number as the header index, and obtains the real-time operation status and operation data of the corresponding gateway node according to the number header index; The regional associated node traversal unit determines the target gateway node in the gateway cluster area, takes the target gateway node as the starting point of the regional diffusion traversal, and traverses the adjacent gateway nodes connected to the current target gateway node; According to the traversal output, the regional associated node of the current target gateway node is determined, and the regional associated node number and the corresponding real-time operation data information table are extracted to build a regional associated node set.

8. The cloud computing-based application gateway cluster platform data management system according to claim 7, characterized in that: The gateway anomaly location analysis module includes a node operation efficiency analysis unit, a regional associated node anomaly judgment unit and an abnormal gateway node determination unit; The node operation efficiency analysis unit performs operation analysis on each gateway node of the gateway cluster by constructing a single gateway node operation analysis model; obtains the real-time operation efficiency value of each node by analyzing the efficiency of real-time request processing operation data of each node; The regional associated node abnormality judgment unit extracts the target regional associated node set by taking the current target gateway node as the regional node center point, and respectively calculates the real-time operation efficiency of the regional associated nodes to obtain the real-time operation efficiency value of each gateway node in the regional associated node set; analyzes the comprehensive operation efficiency of the associated regional gateway under the joint association of the regional associated nodes; analyzes the abnormal condition of the current regional associated node by judging the regional comprehensive operation efficiency under the joint action of the regional associated nodes and the efficiency of the single node of the regional associated node; calculates the independent regional comprehensive operation efficiency of the real-time operation efficiency of each node in the regional associated node; and judges the abnormality of the regional associated node by combining the analysis results of the comprehensive operation efficiency of the associated regional gateway and the independent regional comprehensive operation efficiency; The abnormal gateway node determination unit locates abnormal nodes and analyzes abnormal types of regional associated nodes where abnormal gateway nodes exist based on the judgment and analysis of regional associated nodes; obtains a gateway abnormal type set, corresponding abnormal impact parameters, and abnormal comparison indexes corresponding to each abnormal type by retrieving historical gateway node abnormal data in a database; performs abnormal analysis on the current abnormal regional associated nodes in combination with the historical abnormal data; determines the abnormal gateway nodes by comparing the abnormal evaluation indexes of the gateways of each regional associated node; after determining the abnormal gateway nodes, according to the calculation results of the abnormal indexes corresponding to each gateway abnormal type of the target abnormal gateway node, the gateway abnormal type corresponding to the maximum abnormal index is taken as the abnormal state type of the current abnormal gateway node.

9. The cloud computing-based application gateway cluster platform data management system according to claim 8, characterized in that: The abnormal feedback module includes a gateway node data display unit and an abnormal gateway node output unit; The gateway node data display unit performs data annotation of each gateway node of the gateway cluster in the monitoring area, and performs comprehensive data analysis and output of the nodes associated with each area; The abnormal gateway node output unit feeds back the abnormal node location to the management port and displays the abnormal operation data and the abnormal type.

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