CN110838944A - Method for realizing cloud center tenant dimension topological graph - Google Patents
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Abstract
The invention discloses a method for realizing a cloud center tenant dimension topological graph, which relates to the technical field of data display, and is characterized in that configuration data are obtained according to tenant and resources in topological node data and topological relation and incidence relation between the resources and the resources, the topological data with hierarchical relation are gradually generated by utilizing the corresponding relation between windows and topological nodes through the configuration data and the resource data, and a corresponding topological graph is generated by utilizing the topological data and displayed; according to the invention, the incidence relation of tenant dimensions is shown in the form of a topological graph, including the incidence relation of tenants and belonged resources and the incidence relation among resources, so that operation and maintenance personnel can more intuitively master the resource attribution condition of a cloud center; the local topological graph can be displayed in a layered mode in a window form, the maximum displayed layer level of the window can be defined, disordered display caused by too many topological nodes is avoided, and operation and maintenance personnel can check the topology more clearly.
Description
Technical Field
The invention discloses a method for realizing a cloud center tenant dimension topological graph, and relates to the technical field of data display.
Background
The method comprises the steps of checking which tenants exist in a cloud center, which departments the tenants belong to, which resources the tenants all have, which incidence relations exist in related resource types, and what influence is caused on the resources or the tenants by the direct incidence relations or the indirect incidence relations.
In order to solve the problem that the number of resources of a cloud center tenant is large, and the effect of showing too many topological nodes is poor, the invention discloses a method for realizing a cloud center tenant dimension topological graph, which comprises the steps of obtaining configuration data according to the data of the topological nodes, the tenants and the resources in the topological relation and the incidence relation between the resources and the resources, gradually generating topological data with a hierarchical relation by utilizing the corresponding relation between windows and the topological nodes through the configuration data and the resource data, generating a corresponding topological graph by utilizing the topological data, and showing the topological graph; the method of the invention can decompose an integral topological graph into a plurality of local topological graphs, and each topological graph can be configured with at most displayed layers, so that operation and maintenance personnel can check the topology more clearly, the operation and maintenance efficiency is greatly improved, the ownership relationship between the tenants and resources in the cloud center can be integrally known, and the influence of the alarm on which associated resources or tenants is checked in real time.
Disclosure of Invention
The invention provides a method for realizing a cloud center tenant dimension topological graph, aiming at the problems in the prior art, the topological relation of resources owned by tenants is displayed in the cloud center according to the dimensions of the tenants, so that operation and maintenance personnel can more intuitively master the resource attribution condition of the cloud center, the tenant management is facilitated, and the resources and the tenants influenced by the alarm are more intuitively displayed by displaying the alarm quantity in real time in the topological graph.
The specific scheme provided by the invention is as follows:
a method for realizing a cloud center tenant dimension topological graph obtains configuration data according to topological node data, tenants and resources in a topological relation and an incidence relation between the resources and the resources,
the topology data with a hierarchical relationship is gradually generated by utilizing the corresponding relationship between the windows and the topology nodes through the configuration data and the resource data,
and generating a corresponding topological graph by using the topological data, and displaying.
In the method, a topology model table is established to record resource type data in topology node data, a model relation table is established to record tenants and resources and the incidence relation between the resources and the resources,
and establishing a corresponding relation between a topological window table recording window and a topological node, and establishing a resource example and a topological relation of a topological data table recording topological graph, wherein the resource example and the topological relation are used for generating topological data.
The fields of the topology window table record in the method mainly comprise: the method comprises the steps that a window ID, an initial topological node name, an initial topological node resource type, a maximum level displayed by a window and a father window ID are obtained;
the fields of the topology data table record mainly include: topology ID, source resource instance ID (AEment), source resource instance name, source resource type code, destination resource instance ID (ZEement), destination resource instance name, and destination resource type code.
In the method, the initial topology node ID, the maximum level displayed by the window and the initial topology node resource type are obtained through the topology window table,
searching AEment from the initial topological node to a topological data table, if the AEment is found, searching ZEment through the AEment, recursively finding all child nodes, and acquiring connecting line data and topological node data among the nodes; if only the zeement is found according to the initial topological node, obtaining connection line data and topological node data among the nodes according to the current zeement and the AEement on the upper level;
and generating topology data according to the acquired connection data among the nodes and the topology node data.
The method comprises the step of displaying a topological graph and topological nodes in the topological graph in a subarea.
According to the method, the alarm quantity is grouped and counted according to the resource instance ID and the alarm level, and the alarm quantity is displayed at the corresponding topological node position in real time.
A tool for realizing a cloud center tenant dimension topological graph comprises a data module, a generation module and a display module,
the data module acquires configuration data according to the topology node data, tenants and resources in the topology relation and the incidence relation between the resources and the resources,
the topology data with a hierarchical relationship is gradually generated by utilizing the corresponding relationship between the windows and the topology nodes through the configuration data and the resource data,
the generating module generates a corresponding topological graph by using the topological data, and the displaying module displays the topological graph.
The data module in the tool establishes a topology model table to record the resource type data in the topology node data, establishes a model relation table to record the tenant and the resource and the incidence relation between the resource and the resource,
and establishing a corresponding relation between a topological window table recording window and a topological node, and establishing a resource example and a topological relation of a topological data table recording topological graph, wherein the resource example and the topological relation are used for generating topological data.
The fields of the topology window table record in the tool mainly comprise: the method comprises the steps that a window ID, an initial topological node name, an initial topological node resource type, a maximum level displayed by a window and a father window ID are obtained;
the fields of the topology data table record mainly include: topology ID, source resource instance ID (AEment), source resource instance name, source resource type code, destination resource instance ID (ZEement), destination resource instance name, and destination resource type code.
The data module in the tool acquires the ID of the starting topology node, the maximum hierarchy displayed by the window and the resource type of the starting topology node through the topology window table,
searching AEment from the initial topological node to a topological data table, if the AEment is found, searching ZEment through the AEment, recursively finding all child nodes, and acquiring connecting line data and topological node data among the nodes; if only the zeement is found according to the initial topological node, obtaining connection line data and topological node data among the nodes according to the current zeement and the AEement on the upper level;
and generating topology data according to the acquired connection data among the nodes and the topology node data.
The invention has the advantages that:
the invention provides a method for realizing a cloud center tenant dimension topological graph, which is characterized in that the incidence relation of tenant dimensions is shown in the form of a topological graph, the incidence relation of tenants and resources to which the tenants belong and the incidence relation between the resources are included, and operation and maintenance personnel can conveniently and visually master the resource attribution condition of a cloud center;
the local topological graph can be displayed in a layered mode in a window form, the maximum displayed layer level of the window can be defined, display confusion caused by too many topological nodes is avoided, and operation and maintenance personnel can check the topology more clearly;
the invention can also combine the alarm and the topology, and the operation and maintenance personnel can more intuitively display the resources and the tenants directly or indirectly influenced by the alarm by displaying the alarm quantity in the topological graph in real time;
the invention can also automatically generate a topological graph according to the incidence relation between the tenants and the resources and the incidence relation between the resources through the timing task, and can more accurately show the incidence relation between the resource instances.
Drawings
FIG. 1 is a schematic flow chart of the method for generating topology data according to the present invention.
FIG. 2 is a schematic diagram of the tool application framework of the present invention.
Detailed Description
The invention provides a method for realizing a cloud center tenant dimension topological graph, which obtains configuration data according to topological node data, tenants and resources in a topological relation and an incidence relation between the resources and the resources,
the topology data with a hierarchical relationship is gradually generated by utilizing the corresponding relationship between the windows and the topology nodes through the configuration data and the resource data,
and generating a corresponding topological graph by using the topological data, and displaying.
Meanwhile, a tool for realizing the cloud center tenant dimension topological graph corresponding to the method is provided, which comprises a data module, a generation module and a display module,
the data module acquires configuration data according to the topology node data, tenants and resources in the topology relation and the incidence relation between the resources and the resources,
the topology data with a hierarchical relationship is gradually generated by utilizing the corresponding relationship between the windows and the topology nodes through the configuration data and the resource data,
the generating module generates a corresponding topological graph by using the topological data, and the displaying module displays the topological graph.
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
When the method disclosed by the invention is used for realizing the display of the cloud center tenant dimension topological graph, the specific process is as follows:
acquiring configuration data according to the topology node data, tenants and resources in the topology relationship and the incidence relationship between the resources:
establishing a topology model table to record resource type data in the topology node data, wherein the resource type data comprises a resource type code, a type name, a type icon name, a default maximum display layer number, an attribute field of the type and the like, the attribute field of the cloud server comprises the name of the cloud server, the number of CPU cores, the memory size, an IP address, a tenant belonging to the cloud server and the like, the attribute field of the type can be realized by a topology attribute table,
a topological relation model can be established, the relationship types (including 1:1, 1: n, m: n), the source type codes, the source type relation attribute fields, the destination type codes, the destination type relation attribute fields and the like need to be defined in the table through a model relation table to indicate which cloud servers the tenants own and which applications are deployed on the cloud servers;
gradually generating topology data with a hierarchical relationship by utilizing the corresponding relationship between the windows and the topology nodes through the configuration data and the resource data:
establishing a corresponding relation between a topological window table record window and a topological node, wherein fields recorded by the topological window table mainly comprise: the fields of the window ID, the initial topology node name, the initial topology node resource type, the maximum level of window display, the parent window ID and the like, namely the windows and the initial topology nodes are in one-to-one relationship, according to the organization relationship of the cloud center, the data of a first-level department, a second-level department and tenants can be taken as the initial topology nodes to be imported into a window table,
establishing a topology data table to record resource instances and topology relations of a topology graph, wherein the resource instances can be obtained through the resource instance table, the resource instance table is from a CMDB, namely each resource type can have a resource instance table, query statements can be dynamically generated according to source types, destination types and relation attribute fields defined in the topology relations, data in the resource instance table are queried in a cascading mode and are led into the topology data table, the topology data table can store relation instances of all resources,
the fields of the topology data table record mainly include: topology ID, source resource instance ID (AEment), source resource instance name, source resource type code, destination resource instance ID (zement), destination resource instance name and destination resource type code,
the nodes and the connecting lines required to be displayed by the window can store node data through a window node table, and the connecting line data can be stored in a window connecting line table;
the process of generating topology data with hierarchical relationship is: obtaining the initial node ID, the maximum layer number and the resource type code from the topology window table,
if the maximum layer number of the window is not set, the default maximum display layer number is obtained according to the resource type coding to the topology model table,
searching AEment from the initial topological node to a topological data table, and if the AEment can be found, searching ZEment through the AEment so as to recursively find all child nodes, wherein the recursive times are determined by the maximum number of layers; if only one zement can be found according to the starting node, it means that the starting node does not have a lower-level child node, and only the currently found zement and the AEment above the currently found zement need to be obtained,
saving the found connection data to a window connection table,
storing the found node data into a window node table;
generating a corresponding topological graph by using the topological data, providing a restful query interface of the topological data by a back-end service, requesting the query interface of the back end by the front end through ajax, displaying the topological graph through a jtopo component, and displaying: for example, the topology window list is displayed in the left area in the form of a tree, the user clicks one node on the tree, the middle area displays the corresponding topology graph,
the rightmost area is the attribute of the selected node, when a certain node on the topological graph is selected, the resource attribute information of the node, including management information, logic information, physical information and the like, can be displayed on the attribute label page,
the middle area is a topological graph, wherein a topological tool bar is arranged above the topological graph, and the topological operation comprises the following steps: enlarging, reducing, drilling up, drilling down, laying out, saving as picture, saving current position, eagle's eye diagram, etc.,
the connecting lines on the topological graph show that: the port type and the bandwidth determine the color and the width of the connecting line, and the nodes on the topological graph show that: and displaying by different icons according to the types of the equipment.
In the process, the alarm data can be obtained through the fault management system, the back-end service receives fault alarms in real time through the message queue, the alarm quantity is grouped and counted according to the resource instance ID and the alarm level, the alarm quantity is displayed at the corresponding topological node position in real time and can be pushed to the front-end topological component through the websocket, the front-end topological component displays the alarm quantity at the corresponding node position in real time through the bubble type, the displayed alarm quantity is the quantity corresponding to the current alarm at the highest level, the background color of the node is changed according to the alarm level, the topological node is clicked by a right button, the alarm details can be selected to be checked in a popped menu, and then an alarm list page is opened.
When the tool disclosed by the invention is used for realizing the display of the cloud center tenant dimension topological graph, the specific process is as follows:
the data module acquires configuration data according to the topology node data, tenants and resources in the topology relation and the incidence relation between the resources:
establishing a topology model table to record resource type data in the topology node data, wherein the resource type data comprises a resource type code, a type name, a type icon name, a default maximum display layer number, an attribute field of the type and the like, the attribute field of the cloud server comprises the name of the cloud server, the number of CPU cores, the memory size, an IP address, a tenant belonging to the cloud server and the like, the attribute field of the type can be realized by a topology attribute table,
a topological relation model can be established, the relationship types (including 1:1, 1: n, m: n), the source type codes, the source type relation attribute fields, the destination type codes, the destination type relation attribute fields and the like need to be defined in the table through a model relation table to indicate which cloud servers the tenants own and which applications are deployed on the cloud servers;
the generation module gradually generates topology data with a hierarchical relationship by utilizing the corresponding relationship between the windows and the topology nodes through the configuration data and the resource data:
establishing a corresponding relation between a topological window table record window and a topological node, wherein fields recorded by the topological window table mainly comprise: the fields of the window ID, the initial topology node name, the initial topology node resource type, the maximum level of window display, the parent window ID and the like, namely the windows and the initial topology nodes are in one-to-one relationship, according to the organization relationship of the cloud center, the data of a first-level department, a second-level department and tenants can be taken as the initial topology nodes to be imported into a window table,
establishing a topology data table to record resource instances and topology relations of a topology graph, wherein the resource instances can be obtained through the resource instance table, the resource instance table is from a CMDB, namely each resource type can have a resource instance table, query statements can be dynamically generated according to source types, destination types and relation attribute fields defined in the topology relations, data in the resource instance table are queried in a cascading mode and are led into the topology data table, the topology data table can store relation instances of all resources,
the fields of the topology data table record mainly include: topology ID, source resource instance ID (AEment), source resource instance name, source resource type code, destination resource instance ID (zement), destination resource instance name and destination resource type code,
the nodes and the connecting lines required to be displayed by the window can store node data through a window node table, and the connecting line data can be stored in a window connecting line table;
the process of generating topology data with hierarchical relationship is: obtaining the initial node ID, the maximum layer number and the resource type code from the topology window table,
if the maximum layer number of the window is not set, the default maximum display layer number is obtained according to the resource type coding to the topology model table,
searching AEment from the initial topological node to a topological data table, and if the AEment can be found, searching ZEment through the AEment so as to recursively find all child nodes, wherein the recursive times are determined by the maximum number of layers; if only one zement can be found according to the starting node, it means that the starting node does not have a lower-level child node, and only the currently found zement and the AEment above the currently found zement need to be obtained,
saving the found connection data to a window connection table,
storing the found node data into a window node table;
generating a corresponding topological graph by using the topological data, providing a restful query interface of the topological data by a back-end service, requesting the query interface of the back end by the front end through ajax, and displaying the topological graph by a display module through a jtopo component: for example, the topology window list is displayed in the left area in the form of a tree, the user clicks one node on the tree, the middle area displays the corresponding topology graph,
the rightmost area is the attribute of the selected node, when a certain node on the topological graph is selected, the resource attribute information of the node, including management information, logic information, physical information and the like, can be displayed on the attribute label page,
the middle area is a topological graph, wherein a topological tool bar is arranged above the topological graph, and the topological operation comprises the following steps: enlarging, reducing, drilling up, drilling down, laying out, saving as picture, saving current position, eagle's eye diagram, etc.,
the connecting lines on the topological graph show that: the port type and the bandwidth determine the color and the width of the connecting line, and the nodes on the topological graph show that: and displaying by different icons according to the types of the equipment.
In the process, the data module can acquire alarm data through the fault management system, receive fault alarms in real time through the message queue, count alarm quantity in groups according to the resource instance ID and the alarm level, display the alarm quantity in the corresponding topological node position in real time, push the alarm quantity to the display module through the websocket, display the alarm quantity in the corresponding node position in real time through the bubble type by the display module, display the alarm quantity which is the quantity corresponding to the alarm at the current highest level, change the background color of the node according to the alarm level, click the topological node at the right key, select to view the alarm details in a popped menu, and further open an alarm list page.
The above-mentioned embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of the present invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.
Claims (10)
1. A method for realizing a cloud center tenant dimension topological graph is characterized in that configuration data are obtained according to topological node data, tenants and resources in a topological relation and an incidence relation between the resources and the resources,
the topology data with a hierarchical relationship is gradually generated by utilizing the corresponding relationship between the windows and the topology nodes through the configuration data and the resource data,
and generating a corresponding topological graph by using the topological data, and displaying.
2. The method of claim 1, wherein the set-up topology model table records resource type data in the topology node data, the set-up model relationship table records tenants and resources, and associations between resources and resources,
and establishing a corresponding relation between a topological window table recording window and a topological node, and establishing a resource example and a topological relation of a topological data table recording topological graph, wherein the resource example and the topological relation are used for generating topological data.
3. The method of claim 2, wherein the fields of the topology view table record comprise: the method comprises the steps that a window ID, an initial topological node name, an initial topological node resource type, a maximum level displayed by a window and a father window ID are obtained;
the fields of the topology data table record mainly include: topology ID, source resource instance ID (AEment), source resource instance name, source resource type code, destination resource instance ID (ZEement), destination resource instance name, and destination resource type code.
4. The method of claim 3, wherein the starting topology node ID, the maximum level of window exposure, the starting topology node resource type are obtained through a topology window table,
searching AEment from the initial topological node to a topological data table, if the AEment is found, searching ZEment through the AEment, recursively finding all child nodes, and acquiring connecting line data and topological node data among the nodes; if only the zeement is found according to the initial topological node, obtaining connection line data and topological node data among the nodes according to the current zeement and the AEement on the upper level;
and generating topology data according to the acquired connection data among the nodes and the topology node data.
5. The method of claim 4, wherein the topology map and the topology nodes in the topology map are displayed in zones.
6. The method according to claim 4 or 5, wherein the alarm quantity is counted according to the resource instance ID and the alarm level group, and the alarm quantity is displayed at the corresponding topological node position in real time.
7. A tool for realizing a cloud center tenant dimension topological graph is characterized by comprising a data module, a generation module and a display module,
the data module acquires configuration data according to the topology node data, tenants and resources in the topology relation and the incidence relation between the resources and the resources,
the topology data with a hierarchical relationship is gradually generated by utilizing the corresponding relationship between the windows and the topology nodes through the configuration data and the resource data,
the generating module generates a corresponding topological graph by using the topological data, and the displaying module displays the topological graph.
8. The tool of claim 7, wherein the data module builds a topology model table to record resource type data in the topology node data, builds a model relationship table to record tenants and resources, and associations between resources and resources,
and establishing a corresponding relation between a topological window table recording window and a topological node, and establishing a resource example and a topological relation of a topological data table recording topological graph, wherein the resource example and the topological relation are used for generating topological data.
9. The tool of claim 8, wherein the fields of the topology window table record comprise: the method comprises the steps that a window ID, an initial topological node name, an initial topological node resource type, a maximum level displayed by a window and a father window ID are obtained;
the fields of the topology data table record mainly include: topology ID, source resource instance ID (AEment), source resource instance name, source resource type code, destination resource instance ID (ZEement), destination resource instance name, and destination resource type code.
10. The tool of claim 9, wherein the data module obtains the starting topology node ID, the maximum level of window exposure, the starting topology node resource type through the topology window table,
searching AEment from the initial topological node to a topological data table, if the AEment is found, searching ZEment through the AEment, recursively finding all child nodes, and acquiring connecting line data and topological node data among the nodes; if only the zeement is found according to the initial topological node, obtaining connection line data and topological node data among the nodes according to the current zeement and the AEement on the upper level;
and generating topology data according to the acquired connection data among the nodes and the topology node data.
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| CN114070741B (en) * | 2020-07-28 | 2024-01-26 | 中移(苏州)软件技术有限公司 | Topology graph generation method, system, equipment and storage medium |
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| CN112380402A (en) * | 2020-11-16 | 2021-02-19 | 零氪科技(天津)有限公司 | Medical document processing method, device and system |
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| CN114090833A (en) * | 2021-10-27 | 2022-02-25 | 中盈优创资讯科技有限公司 | Method and device for displaying topological skip layers |
| CN114726739A (en) * | 2022-04-18 | 2022-07-08 | 深圳市智象科技有限公司 | Topological data processing method, device, equipment and storage medium |
| CN114726739B (en) * | 2022-04-18 | 2024-04-09 | 深圳市智象科技有限公司 | Topology data processing method, device, equipment and storage medium |
| CN114710404A (en) * | 2022-04-22 | 2022-07-05 | 中国工商银行股份有限公司 | Virtual server configuration information management method and device based on configuration management system |
| CN114710404B (en) * | 2022-04-22 | 2024-04-12 | 中国工商银行股份有限公司 | Virtual server configuration information management method and device based on configuration management system |
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