Network topology visualization method, apparatus, device, medium, and program product

Abstract

Embodiments of the present application disclose a network topology visualization method, device, equipment, medium and program product. The method comprises: obtaining business data, network data and interface data of a target business system; processing the business data, network data and interface data according to a preset sorting rule to obtain a connection relationship between a plurality of host nodes in the target business system and an association relationship between each business and network in the target business system; obtaining heterogeneous data pushed by a peripheral system; determining an association relationship between the heterogeneous data and the host nodes according to IP address information of the heterogeneous data; and generating a network topology visualization result containing the business association relationship based on the connection relationship between the plurality of host nodes in the target business system, the association relationship between each business and network in the target business system and the association relationship between the heterogeneous data and the host nodes. The embodiments of the present application can reduce the difficulty of troubleshooting and network management.

Description

Technical Field

[0001] This application belongs to the field of Internet technology, and in particular relates to a network topology visualization method, apparatus, device, computer storage medium, and computer program product. Background Technology

[0002] With increasing emphasis on cybersecurity, the deepening of digital transformation, and the development of the data economy, the network topologies of government and enterprises are becoming increasingly complex. In computer networks, the form and topological relationships of host nodes are often ignored for the convenience of administrators in management and maintenance.

[0003] Currently, monitoring host nodes typically involves analyzing host logs to promptly identify abnormal system behavior and errors, allowing for appropriate handling. However, this method can only roughly pinpoint network problems and cannot quickly locate the specific causes of abnormal behavior and errors, making troubleshooting and network management quite difficult. Summary of the Invention

[0004] This application provides a network topology visualization method, apparatus, device, computer storage medium, and computer program product, which can intuitively present the network topology relationships in a business system and their correlation with the business, thereby reducing the difficulty of troubleshooting and network management.

[0005] In a first aspect, embodiments of this application provide a network topology visualization method, including:

[0006] Acquire business data, network data, and interface data from the target business system;

[0007] The business data, network data, and interface data are processed according to the preset sorting rules to obtain the connection relationship between multiple host nodes in the target business system, as well as the relationship between each business in the target business system and the network.

[0008] Obtain heterogeneous data pushed by external systems, including Internet Protocol (IP) address information;

[0009] Based on the IP address information of the heterogeneous data, determine the association between the heterogeneous data and the host node;

[0010] Based on the connection relationships between multiple host nodes in the target business system, the relationship between various services in the target business system and the network, and the relationship between heterogeneous data and host nodes, a network topology visualization result containing business relationship is generated.

[0011] In one optional implementation, business data, network data, and interface data are processed according to preset sorting rules to obtain the connection relationships between multiple host nodes in the target business system, and the association relationships between various services in the target business system and the network, including:

[0012] By analyzing business data, network data, and interface data, the connection relationships between multiple host nodes in the target business system and the correspondence between various services and host nodes in the target business system are obtained.

[0013] Based on the preset configuration rules and the correspondence between each service and host node in the target business system, the business data and network data are configured to obtain the association between each service and the network in the target business system.

[0014] In one optional implementation, based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services in the target business system and the network, and the association relationships between heterogeneous data and host nodes, a network topology visualization result containing business association relationships is generated, including:

[0015] Based on the relationship between various services and the network in the target business system, business process nodes are orchestrated to obtain the business process node orchestration results.

[0016] Based on the business process node orchestration results, the connection relationships between multiple host nodes in the target business system, and the association relationships between heterogeneous data and host nodes, host topology node orchestration is performed to obtain the host topology node orchestration results.

[0017] Write a directed graph of host chains based on the orchestration results of business process nodes and host topology nodes;

[0018] The directed graph of the host chain is visualized to generate a network topology visualization result that includes business relationships.

[0019] In one optional implementation, after acquiring heterogeneous data pushed by the external system, the method further includes:

[0020] Heterogeneous data is parsed according to preset data mapping rules to obtain target heterogeneous data. Target heterogeneous data is data that conforms to the target data structure and includes core business information and auxiliary business information.

[0021] When the target heterogeneous data contains baseline information of a preset category, the core business information is stored in the first-level table, and the auxiliary business information is stored in the extended table.

[0022] If the target heterogeneous data does not contain baseline information of a preset category, the target heterogeneous data will be stored in the error log table.

[0023] In an optional implementation, after generating a network topology visualization result containing business relationships based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services in the target business system and the network, and the association relationships between heterogeneous data and host nodes, the method further includes:

[0024] If the error log table contains target heterogeneous data, determine the target host node corresponding to the IP address information of the target heterogeneous data;

[0025] Mark the target host node in the network topology visualization result containing business relationships to obtain the marked network topology visualization result containing business relationships.

[0026] In one optional implementation, after marking the target host node in the network topology visualization result containing business relationships to obtain the marked network topology visualization result containing business relationships, the method further includes:

[0027] Upon receiving a business call relationship query request, obtain the client IP address corresponding to the business call relationship query request;

[0028] Extract network topology information containing business relationships related to IP addresses from the labeled network topology visualization results, and generate network topology visualization results containing business relationships corresponding to IP addresses.

[0029] Secondly, embodiments of this application provide a network topology visualization device, comprising:

[0030] The acquisition module is used to acquire business data, network data, and interface data of the target business system.

[0031] The processing module is used to process business data, network data and interface data according to preset sorting rules to obtain the connection relationship between multiple host nodes in the target business system, as well as the relationship between each business in the target business system and the network.

[0032] The acquisition module is also used to acquire heterogeneous data pushed by external systems, including Internet Protocol (IP) address information.

[0033] The determination module is used to determine the association between heterogeneous data and host nodes based on the IP address information of the heterogeneous data;

[0034] The generation module is used to generate a network topology visualization result containing business relationships based on the connection relationships between multiple host nodes in the target business system, the relationship between various services in the target business system and the network, and the relationship between heterogeneous data and host nodes.

[0035] Thirdly, embodiments of this application provide an electronic device, the device including: a processor and a memory storing computer program instructions;

[0036] When the processor executes computer program instructions, it implements a network topology visualization method as described in any optional embodiment of the first aspect of this application.

[0037] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer program instructions, which, when executed by a processor, implement the network topology visualization method as described in any optional embodiment of the first aspect of this application.

[0038] Fifthly, embodiments of this application provide a computer program product in which instructions, when executed by a processor of an electronic device, cause the electronic device to perform a network topology visualization method as described in any optional embodiment of the first aspect of this application.

[0039] The network topology visualization method, apparatus, device, computer storage medium, and computer program product of this application can acquire business data, network data, and interface data of a target business system, and process this data according to preset sorting rules to obtain the connection relationships between multiple host nodes in the target business system, as well as the association relationships between various services and the network in the target business system. This not only facilitates the analysis of the association relationships between multiple host nodes but also helps to link services with the network topology. This application embodiment can also acquire heterogeneous data pushed by external systems and determine the association relationships between heterogeneous data and host nodes based on the Internet Protocol (IP) address information of the heterogeneous data. The heterogeneous data pushed by external systems can reflect more detailed business information; determining the association relationships between heterogeneous data and host nodes helps to reflect the association relationships between services and the network topology more deeply. Based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services and the network in the target business system, and the association relationships between heterogeneous data and host nodes, this application embodiment generates a network topology visualization result that includes business association relationships. This network topology visualization provides an intuitive view of the network topology relationships within the target business system and their correlation with services, enabling a visual representation of services, host nodes, and network topology. This facilitates a more intuitive understanding and analysis of the data, thereby enabling rapid location of faulty nodes when a failure occurs in the target business system. This, in turn, reduces the difficulty of troubleshooting and network management. Attached Figure Description

[0040] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart illustrating a network topology visualization method provided in one embodiment of this application;

[0042] Figure 2 This is a schematic diagram of the structure of a network topology visualization device provided in another embodiment of this application;

[0043] Figure 3 This is a schematic diagram of the structure of a network topology visualization device provided in another embodiment of this application. Detailed Implementation

[0044] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0045] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0046] With increasing emphasis on cybersecurity, the deepening of digital transformation, and the development of the data economy, the network topologies of government and enterprises are becoming increasingly complex. In computer networks, the form and topological relationships of host nodes are often ignored for the convenience of administrators in management and maintenance.

[0047] Currently, monitoring host nodes typically involves analyzing host logs to promptly identify abnormal system behaviors and errors, and then taking appropriate action. Specifically, log analysis tools such as Log4j and ELK Stack can be used to monitor and manage the logs of the topology hosts in real time.

[0048] However, these tools can only roughly locate network problems and cannot quickly pinpoint the specific causes of abnormal behavior and errors, making troubleshooting and network management more difficult.

[0049] In order to improve and reduce the difficulty of troubleshooting and network management, the inventors, after in-depth thinking, ingeniously proposed a network topology visualization method, device, equipment, computer storage medium, and computer program product.

[0050] The network topology visualization method provided in this application will be described below with reference to the accompanying drawings and specific embodiments and application scenarios. The network topology visualization method provided in this application can be executed by a network topology visualization device, or a portion of the network topology visualization device used to execute the network topology visualization method. This application uses the execution of the network topology visualization method by a network topology visualization device as an example to describe the network topology visualization method provided in this application in detail.

[0051] Figure 1 A flowchart illustrating a network topology visualization method according to an embodiment of this application is shown. Figure 1 As shown, the network topology visualization method may specifically include the following steps S110 to S150.

[0052] S110: Obtain business data, network data, and interface data from the target business system.

[0053] In step S110, the target business system can be any business system that needs to be managed and monitored. For example, the target business system could be a digital government enterprise service activation system, or other digital business systems. Business data can include, but is not limited to, various data related to the business chain, such as business process data, organizational structure data, etc.

[0054] S120 processes business data, network data, and interface data according to preset sorting rules to obtain the connection relationship between multiple host nodes in the target business system, as well as the relationship between each business in the target business system and the network.

[0055] Each business application of the target business system is deployed on a corresponding application server. In step S120, business data, network data, and interface data are processed according to preset sorting rules. This may include sorting out the network deployment diagram of each business application, establishing the deployment relationship between each business application, and configuring business data and network data.

[0056] S130: Obtain heterogeneous data pushed by external systems. The heterogeneous data includes Internet Protocol (IP) address information.

[0057] In step S130, the peripheral system may include a system that interacts with the target business system. As an example, the peripheral system may include, but is not limited to, at least one of a Customer Relationship Management (CRM) system, an activation system, or a construction system. The heterogeneous data pushed by the peripheral system may contain ordering information for solutions, products, or capabilities. When a user needs to order solutions, products, or capabilities from the target business system platform, the peripheral system can generate heterogeneous data from the order information and push it to the target business system platform. By obtaining the heterogeneous data pushed by the peripheral system, a wealth of detailed business information can be obtained.

[0058] S140, Based on the IP address information of the heterogeneous data, determine the association between the heterogeneous data and the host node.

[0059] S150 generates a network topology visualization result containing business relationships based on the connection relationships between multiple host nodes in the target business system, the relationship between various services in the target business system and the network, and the relationship between heterogeneous data and host nodes.

[0060] The network topology visualization method of this application can acquire business data, network data, and interface data of a target business system, and process this data according to preset sorting rules to obtain the connection relationships between multiple host nodes in the target business system, as well as the association relationships between various services and the network in the target business system. This not only facilitates the analysis of the association relationships between multiple host nodes but also helps to link services with the network topology. This application embodiment can also acquire heterogeneous data pushed by external systems and determine the association relationships between heterogeneous data and host nodes based on the IP address information of the heterogeneous data. The heterogeneous data pushed by external systems can reflect more detailed business information, and determining the association relationships between heterogeneous data and host nodes helps to reflect the association relationships between services and the network topology more deeply. Based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services and the network in the target business system, and the association relationships between heterogeneous data and host nodes, this application embodiment generates a network topology visualization result containing business association relationships. This network topology visualization result can intuitively present the network topology relationships in the target business system and their association relationships with services, realizing the visual presentation of services, host nodes, and network topology. This allows users to understand and analyze data more intuitively, thus facilitating the rapid location of faulty nodes when a failure occurs in the target business system. This, in turn, reduces the difficulty of troubleshooting and network management.

[0061] In one embodiment, business data, network data, and interface data are processed according to preset sorting rules to obtain the connection relationships between multiple host nodes in the target business system, as well as the association relationships between various services in the target business system and the network. Specifically, this may include:

[0062] By analyzing business data, network data, and interface data, the connection relationships between multiple host nodes in the target business system and the correspondence between various services and host nodes in the target business system can be obtained.

[0063] Based on the preset configuration rules and the correspondence between each service and host node in the target business system, the business data and network data are configured to obtain the association between each service and the network in the target business system.

[0064] In one embodiment, business data, network data, and interface data are analyzed to obtain the connection relationships between multiple host nodes in the target business system, as well as the correspondence between each business in the target business system and the host nodes. This may include defining node link codes, sorting out the network deployment diagram of each business application, establishing the deployment relationships between each business application, and obtaining the connection relationships between multiple host nodes in the target business system, as well as the correspondence between each business in the target business system and the host nodes.

[0065] In one example, the data format and protocol for receiving interface messages can also be defined. For instance, the data format of the interface message can be defined as JavaScript Object Notation (JSON), and the protocol as Hypertext Transfer Protocol (HTTP). Another example can specify the interface message data specifications. For instance, it can be stipulated that input parameters and output parameters must include element names, constraints, types, descriptions, and value descriptions. Input parameters may include approval number, type, etc., while output parameters may include approval number, type, status (success or failure), reason for successful or failed query, process information, primary key identifier (ID) of the process, handler number, processing time, process name, process code, process status, operation list, processing comments, processing result, creation time, handler position, etc.

[0066] In one embodiment, the relationship between each service and the network in the target service system can be shown in Table 1 below.

[0067] Table 1

[0068] Application scenarios host node Center type IP address Parent IP address none Server F5 Central Node 1 XXX.XXX.X.XX XXX.XXX.XX none Server F5 Central Node 2 YYY.YYY.YY XXX.XXX.XX Broadband services Server 2 Central Node 1 ZZZ.ZZZ.Z.ZZ XXX.XXX.X.XX Number Card Service Server 3 Central Node 1 MMM.MMM.M.MM XXX.XXX.X.XX Broadband services Server 4 Central Node 2 ZZZ.ZZZ.Z.ZZ YYY.YYY.YY Number Card Service Server 5 Central Node 2 MMM.MMM.M.MM YYY.YYY.YY

[0069] This helps to clearly demonstrate the relationship between services and the network. In the event of a failure, the faulty link can be quickly located based on the service data flow, thereby reducing the difficulty of troubleshooting and network management.

[0070] In one embodiment, based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services in the target business system and the network, and the association relationships between heterogeneous data and host nodes, a network topology visualization result containing business association relationships is generated, which may specifically include:

[0071] Based on the relationship between various services and the network in the target business system, business process nodes are orchestrated to obtain the business process node orchestration results.

[0072] Based on the business process node orchestration results, the connection relationships between multiple host nodes in the target business system, and the association relationships between heterogeneous data and host nodes, host topology node orchestration is performed to obtain the host topology node orchestration results.

[0073] Write a directed graph of host chains based on the orchestration results of business process nodes and host topology nodes.

[0074] The directed graph of the host chain is visualized to generate a network topology visualization result that includes business relationships.

[0075] In the above embodiments, the business process node orchestration result may include business node templates. For example, for digital government and enterprise systems, the business node template may include business processing modules, resource allocation modules, network element activation modules, external line construction modules, completion archiving modules, and their associated relationships. The host topology node orchestration result may include templates for host nodes, center types, and IP addresses, as well as the association between host topology nodes and services.

[0076] In the above embodiments, the visualization results can be obtained by means known in the art, such as drawing a network topology visualization diagram containing business relationships using visualization tools known in the art. As an example, a front-end framework can be built using Vue technology, a topology canvas can be drawn based on Scalable Vector Graphics (SVG) technology, and then a network topology visualization diagram containing business relationships can be drawn based on the host chain directed graph.

[0077] The above embodiments construct a directed graph of host chains based on the orchestration results of business process nodes and host topology nodes, and then perform visualization processing on the directed graph of host chains. This enables the visualization of business and network data, displaying business and network data through visualization tools or platforms, allowing users to intuitively understand and analyze the data, thereby supporting decision-making and optimization.

[0078] In one embodiment, after obtaining heterogeneous data pushed by an external system, the method may further include:

[0079] Heterogeneous data is parsed according to preset data mapping rules to obtain target heterogeneous data. Target heterogeneous data is data that conforms to the target data structure and includes core business information and auxiliary business information.

[0080] When the target heterogeneous data contains baseline information of a preset category, the core business information is stored in the first-level table, and the auxiliary business information is stored in the extended table.

[0081] If the target heterogeneous data does not contain baseline information of a preset category, the target heterogeneous data will be stored in the error log table.

[0082] In the above embodiments, the preset data mapping rule can be a rule for parsing heterogeneous data into a target data structure, which may include, but is not limited to, at least one of heterogeneous data cleaning rules and feature extraction rules.

[0083] In the above embodiments, the baseline information for the preset category may include, but is not limited to, one or more of the following: product number, process number, and creation time. If the target heterogeneous data contains complete baseline information, it can be considered that it is not abnormal. If at least some of the baseline information in the target heterogeneous data is missing, it can be considered that it is abnormal.

[0084] When there are no anomalies in the target heterogeneous data, core business information can be stored in a primary table, and auxiliary business information can be stored in an extended table. Core business information can include major business data fields, such as product number, environment number, creation time, and acceptance number; auxiliary business information can include other business data fields besides core business information, such as the acceptor, acceptance area code, remarks, and anomaly identifier. Storing core business information in a primary table facilitates subsequent queries and data analysis; storing auxiliary business information in an extended table provides additional information support, helping users to understand and manage business data more comprehensively. Hierarchical storage of core and auxiliary business information allows for multi-layered presentation of business information from heterogeneous data, facilitating data querying, analysis, and decision-making for users. Furthermore, in this embodiment, heterogeneous data is associated with network topology visualization results. Hierarchical storage of core and auxiliary business information contained in heterogeneous data also improves data identification accuracy and enhances the visualization of network topology, thereby benefiting network and business management of the target business system.

[0085] In cases where anomalies exist in the target heterogeneous data, the heterogeneous data can be stored in an error log table. In some embodiments, the cause and analysis time of the anomaly can also be recorded in the error log table. In some embodiments, the error log table can be monitored through a business support network operation management system. When new data is added to the error log table, an alarm mechanism can be triggered to output alarm information, enabling timely detection and handling of anomalies. Furthermore, the error log table can be cleaned up at preset intervals, for example, annually, to reduce data redundancy and improve data reliability. The establishment of the error log table helps track and analyze anomalies, improving the stability of the target business system.

[0086] The target business system can be associated with multiple peripheral systems. With the deepening of digital transformation and the development of the data economy, peripheral systems need to push massive amounts of heterogeneous data to the target business system. In one embodiment, when multiple peripheral systems exist, each peripheral system can push heterogeneous data to the target business system in chronological order, and multiple peripheral systems can use a multi-process approach to push heterogeneous data to the target business system.

[0087] As an example, peripheral systems may include a CRM system, an activation system, and a construction system. The CRM system, activation system, and construction system use a multi-process approach to push heterogeneous data to the message queue (MQ) of the target business system.

[0088] Specifically, the CRM system can push relevant data to a message queue (MQ) via a background process, according to the interface specifications. The pushed content can include order data, internal CRM process data, etc. Within the CRM system, data is pushed in chronological order, using a first-in, first-out (FIFO) approach.

[0089] The activation system can push relevant data to the message queue (MQ) via a background process, according to the interface specifications. The pushed content can include order data, internal activation process data, etc. Within the activation system, data is pushed in chronological order, using a first-in, first-out (FIFO) approach.

[0090] The construction system can push relevant data to a message queue (MQ) via a background process, according to the interface specifications. The pushed content can include order data, internal construction process data, etc. Within the construction system, data is pushed in chronological order, using a first-in, first-out (FIFO) approach. This improves the efficiency of data push.

[0091] In one embodiment, after generating a network topology visualization result containing business relationships based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services in the target business system and the network, and the association relationships between heterogeneous data and host nodes, the method may further include:

[0092] If the error log table contains target heterogeneous data, determine the target host node corresponding to the IP address information of the target heterogeneous data.

[0093] Mark the target host node in the network topology visualization result containing business relationships to obtain the marked network topology visualization result containing business relationships.

[0094] In this way, fault-related host nodes can be directly displayed in the network topology visualization results, thereby further improving the accuracy of data identification and enhancing the visualization of the final graph. This, in turn, can improve the efficiency of troubleshooting and network management.

[0095] In one embodiment, after marking target host nodes in the network topology visualization result containing business relationships to obtain the marked network topology visualization result containing business relationships, the method may further include:

[0096] Upon receiving a business call relationship query request, obtain the client IP address corresponding to the business call relationship query request.

[0097] Extract network topology information containing business relationships related to IP addresses from the labeled network topology visualization results, and generate network topology visualization results containing business relationships corresponding to IP addresses.

[0098] The above embodiments can display network topology visualization results corresponding to IP addresses and including business relationships according to user requests. This further reduces the difficulty for users to locate relevant host nodes and business nodes based on the network topology visualization results, and also enhances the visualization of local network topology, improving data recognition accuracy.

[0099] Based on the same inventive concept, embodiments of this application also provide a network topology visualization device.

[0100] like Figure 2 As shown, the network topology visualization device 200 may include an acquisition module 201, a processing module 202, a determination module 203, and a generation module 204.

[0101] The acquisition module 201 is used to acquire business data, network data, and interface data of the target business system.

[0102] The processing module 202 is used to process business data, network data and interface data according to preset sorting rules to obtain the connection relationship between multiple host nodes in the target business system, as well as the relationship between each business in the target business system and the network.

[0103] The acquisition module 201 is also used to acquire heterogeneous data pushed by external systems, including Internet Protocol (IP) address information.

[0104] The determination module 203 is used to determine the association between heterogeneous data and host nodes based on the IP address information of the heterogeneous data.

[0105] The generation module 204 is used to generate a network topology visualization result containing business relationships based on the connection relationship between multiple host nodes in the target business system, the relationship between each business in the target business system and the network, and the relationship between heterogeneous data and host nodes.

[0106] The network topology visualization device of this application embodiment can acquire business data, network data, and interface data of a target business system, and process this data according to preset sorting rules to obtain the connection relationships between multiple host nodes in the target business system, as well as the association relationships between various services and the network in the target business system. This not only facilitates the analysis of the association relationships between multiple host nodes but also helps to link services with the network topology. This application embodiment can also acquire heterogeneous data pushed by external systems and determine the association relationships between heterogeneous data and host nodes based on the Internet Protocol (IP) address information of the heterogeneous data. The heterogeneous data pushed by external systems can reflect more detailed business information, and determining the association relationships between heterogeneous data and host nodes helps to reflect the association relationships between services and the network topology more deeply. Based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services and the network in the target business system, and the association relationships between heterogeneous data and host nodes, this application embodiment generates a network topology visualization result containing business association relationships. This network topology visualization result can intuitively present the network topology relationships in the target business system and their association relationships with services, realizing the visual presentation of services, host nodes, and network topology. This allows users to understand and analyze data more intuitively, thus facilitating the rapid location of faulty nodes when a failure occurs in the target business system. This, in turn, reduces the difficulty of troubleshooting and network management.

[0107] In one embodiment, the processing module is used to process business data, network data, and interface data according to preset sorting rules to obtain the connection relationships between multiple host nodes in the target business system, as well as the association relationships between various services in the target business system and the network, which may specifically include:

[0108] The analysis module is used to analyze business data, network data, and interface data to obtain the connection relationships between multiple host nodes in the target business system, as well as the correspondence between various services in the target business system and host nodes.

[0109] The configuration module is used to configure business data and network data according to preset configuration rules and the correspondence between various services and host nodes in the target business system, so as to obtain the association relationship between various services and the network in the target business system.

[0110] In one embodiment, the generation module is used to generate a network topology visualization result containing business relationships based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services in the target business system and the network, and the association relationships between heterogeneous data and host nodes. Specifically, it may include:

[0111] The orchestration module is used to orchestrate business process nodes based on the relationship between various services and the network in the target business system, and obtain the orchestration results of the business process nodes.

[0112] The orchestration module is also used to orchestrate host topology nodes based on the orchestration results of business process nodes, the connection relationships between multiple host nodes in the target business system, and the association relationships between heterogeneous data and host nodes, so as to obtain the host topology node orchestration results.

[0113] Write a module to write a directed graph of host chains based on the orchestration results of business process nodes and host topology nodes.

[0114] The generation module is used to visualize the directed graph of the host chain and generate a network topology visualization result that includes business relationships.

[0115] In one embodiment, the apparatus may further include:

[0116] The parsing module is used to parse heterogeneous data according to preset data mapping rules to obtain target heterogeneous data. The target heterogeneous data is data that conforms to the target data structure and includes core business information and auxiliary business information.

[0117] The storage module is used to store core business information in a first-level table and auxiliary business information in an extended table when the target heterogeneous data contains baseline information of a preset category.

[0118] The storage module is used to store the target heterogeneous data in the error log table when the target heterogeneous data does not contain the baseline information of the preset category.

[0119] In one embodiment, the apparatus may further include:

[0120] The determination module is used to determine the target host node corresponding to the IP address information of the target heterogeneous data when the error log table contains target heterogeneous data.

[0121] The tagging module is used to tag target host nodes in the network topology visualization results that include business relationships, thereby obtaining the tagged network topology visualization results that include business relationships.

[0122] In one embodiment, the apparatus may further include:

[0123] The acquisition module is used to obtain the client IP address corresponding to the business call relationship query request when a business call relationship query request is received.

[0124] The generation module is used to extract network topology information containing business relationships related to IP addresses from the labeled network topology visualization results containing business relationships, and generate network topology visualization results containing business relationships corresponding to IP addresses.

[0125] The network topology visualization device provided in this application embodiment can achieve... Figure 1 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.

[0126] Figure 3 A schematic diagram of the hardware structure of the network topology visualization device provided in an embodiment of this application is shown.

[0127] The network topology visualization device may include a processor 301 and a memory 302 storing computer program instructions.

[0128] Specifically, the processor 301 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0129] Memory 302 may include mass storage for data or instructions. For example, and not limitingly, memory 302 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 302 may include removable or non-removable (or fixed) media. Where appropriate, memory 302 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 302 is non-volatile solid-state memory.

[0130] Memory may include read-only memory (ROM), random access memory (RAM), disk storage media devices, optical storage media devices, flash memory devices, and electrical, optical, or other physical / tangible memory storage devices. Therefore, typically, memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the methods according to one aspect of this disclosure.

[0131] The processor 301 reads and executes computer program instructions stored in the memory 302 to implement any of the network topology visualization methods in the above embodiments.

[0132] As an example, the network topology visualization device may also include a communication interface 303 and a bus 310. Wherein, such as Figure 3 As shown, the processor 301, memory 302, and communication interface 303 are connected through bus 310 and complete communication with each other.

[0133] The communication interface 303 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0134] Bus 310 includes hardware, software, or both, that couples components of an online data traffic metering device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 310 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, any suitable bus or interconnect is contemplated herein.

[0135] The network topology visualization device can execute the network topology visualization method in the embodiments of this application, thereby achieving a combination of Figure 1 and Figure 2 The described method and apparatus for visualizing network topology.

[0136] Furthermore, in conjunction with the data processing methods in the above embodiments, this application embodiment can provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when these computer program instructions are executed by a processor, they implement any of the data processing methods in the above embodiments.

[0137] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0138] The functional blocks shown in the above-described structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0139] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0140] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0141] The above description is merely a specific implementation of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A method for visualizing network topology, characterized in that, include: Acquire business data, network data, and interface data from the target business system; The business data, network data, and interface data are processed according to preset sorting rules to obtain the connection relationship between multiple host nodes in the target business system, as well as the association relationship between each business and the network in the target business system. Obtain heterogeneous data pushed by external systems, wherein the heterogeneous data includes Internet Protocol (IP) address information; Based on the IP address information of the heterogeneous data, determine the association between the heterogeneous data and the host node; Based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services in the target business system and the network, and the association relationships between heterogeneous data and host nodes, a network topology visualization result containing business association relationships is generated. Based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services in the target business system and the network, and the association relationships between heterogeneous data and host nodes, a network topology visualization result containing business association relationships is generated, including: Based on the relationship between each service and the network in the target service system, the service process nodes are orchestrated to obtain the service process node orchestration result. Based on the business process node orchestration results, the connection relationships between multiple host nodes in the target business system, and the association relationships between heterogeneous data and host nodes, host topology node orchestration is performed to obtain host topology node orchestration results. Based on the orchestration results of the business process nodes and the orchestration results of the host topology nodes, a directed graph of the host chain is constructed; The directed graph of the host chain is visualized to generate a network topology visualization result containing business relationships.

2. The method according to claim 1, characterized in that, The process of processing the business data, network data, and interface data according to preset sorting rules to obtain the connection relationships between multiple host nodes in the target business system, and the association relationships between various services and the network in the target business system, includes: The business data, network data, and interface data are analyzed to obtain the connection relationship between multiple host nodes in the target business system, and the correspondence between each business and host node in the target business system. Based on the preset configuration rules and the correspondence between each service and host node in the target business system, the service data and network data are configured to obtain the association between each service and the network in the target business system.

3. The method according to claim 1 or 2, characterized in that, After obtaining heterogeneous data pushed by external systems, the method further includes: The heterogeneous data is parsed according to a preset data mapping rule to obtain target heterogeneous data. The target heterogeneous data is data that conforms to the target data structure and includes core business information and auxiliary business information. If the target heterogeneous data contains baseline information of a preset category, the core business information is stored in a first-level table, and the auxiliary business information is stored in an extended table. If the target heterogeneous data does not contain baseline information of a preset category, the target heterogeneous data is stored in an error log table.

4. The method according to claim 3, characterized in that, After generating a network topology visualization result containing business relationships based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services and the network in the target business system, and the association relationships between the heterogeneous data and host nodes, the method further includes: if the target heterogeneous data is included in the error record table, determining the target host node corresponding to the IP address information of the target heterogeneous data. The target host node is marked in the network topology visualization result containing business relationships to obtain the marked network topology visualization result containing business relationships.

5. The method according to claim 4, characterized in that, After marking the target host node in the network topology visualization result containing business relationships to obtain the marked network topology visualization result containing business relationships, the method further includes: Upon receiving a business call relationship query request, obtain the client IP address corresponding to the business call relationship query request; Extract the network topology information containing the service relationship related to the IP address from the marked network topology visualization result containing the service relationship, and generate the network topology visualization result containing the service relationship corresponding to the IP address.

6. A network topology visualization device, characterized in that, include: The acquisition module is used to acquire business data, network data, and interface data of the target business system. The processing module is used to process the business data, network data and interface data according to preset sorting rules to obtain the connection relationship between multiple host nodes in the target business system, and the association relationship between each business and the network in the target business system. The acquisition module is also used to acquire heterogeneous data pushed by the peripheral system, the heterogeneous data including Internet Protocol (IP) address information; The determination module is used to determine the association between the heterogeneous data and the host node based on the IP address information of the heterogeneous data; The generation module is used to generate a network topology visualization result containing business relationships based on the connection relationship between multiple host nodes in the target business system, the relationship between each business in the target business system and the network, and the relationship between the heterogeneous data and the host nodes. The generation module is used to generate a network topology visualization result containing business relationships based on the connection relationships between multiple host nodes in the target business system, the association relationships between various services and the network in the target business system, and the association relationships between heterogeneous data and host nodes. This includes: The orchestration module is used to orchestrate business process nodes based on the relationship between each business and the network in the target business system, and to obtain the business process node orchestration result. The orchestration module is also used to perform host topology node orchestration based on the orchestration results of the business process nodes, the connection relationships between multiple host nodes in the target business system, and the association relationships between the heterogeneous data and the host nodes, so as to obtain the host topology node orchestration results. A module is provided for writing a directed graph of host chains based on the orchestration results of the business process nodes and the orchestration results of the host topology nodes. The generation module is used to perform visualization processing on the directed graph of the host chain to generate a network topology visualization result containing business relationships.

7. An electronic device, characterized in that, The device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, it implements the network topology visualization method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions, which, when executed by a processor, implement the network topology visualization method as described in any one of claims 1-5.

9. A computer program product, characterized in that, When the instructions in the computer program product are executed by the processor of the electronic device, the electronic device performs the network topology visualization method as described in any one of claims 1-5.

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