CN105471607A - Tree-shaped monitoring method for large-scale cluster nodes dynamic information - Google Patents
Tree-shaped monitoring method for large-scale cluster nodes dynamic information Download PDFInfo
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Abstract
The invention provides a tree-shaped monitoring method for large-scale cluster nodes dynamic information, which comprises the steps of: determining how to divide nodes in a cluster into groups by utilizing acquired system resource parameters stored in a database, namely, how to determine root, seed and leaf types of the nodes; and displaying different information on the basis of root nodes, seed nodes and leaf nodes according to the node type of a display request by utilizing obtained resource utilization parameters of all nodes. The tree-shaped monitoring method enables the user to check the overall utilization condition of the whole cluster resource quickly in a rood node manner, can check the average utilization condition of different node groups, and can check information of each node in a targeted manner, thereby achieving recursive display of the large-scale cluster nodes dynamic information, avoiding tedious node selecting operations of the user when checking the nodes, enhancing analysis capability of cluster node operation, and improves working efficiency.
Description
Technical field
The present invention relates to Computer Applied Technology field, particularly relate to a kind of tree-like supervision method of large-scale cluster node multidate information.
Background technology
Cluster system resource parameter is the key message that user understands system service condition, but does not also effectively monitor means and correlation technique at present.
Summary of the invention
The object of the invention is conveniently user to use, provide a kind of tree-like supervision method of large-scale cluster node multidate information, enable that user is quick, directly perceived must see resource service condition.
A tree-like supervision method for large-scale cluster node multidate information, comprising:
Step 1, utilizes the system resource parameters of the collection of depositing in database, determines in cluster, how each node divides into groups, and namely how to determine the root of node, son, leaf three types;
And step 2, utilize the resource operation parameter of the whole nodes obtained, according to the node type of display request, show different information according to root node, child node, leaf node.
Such scheme comprises further:
In step 1, supervisory control system will gather the resource operation parameter of each node in cluster, comprises process number, cpu usage, internal memory service condition, local disk read or write speed, network transfer speeds.
In step 1, by configuration data structure, effectively divided into groups by node, what root node was corresponding is cluster aggregate resource; Namely a group node is a child node, its corresponding a collection of Agent node, and child node is responsible for the details of collecting each Agent node, and submits to database and preserve; Leaf node is namely corresponding is individual node in system.
In step 2, when the page proposes display request, first system can judge the node type showing request, then carries out different operations according to root node, child node, leaf node.
In step 2, after system background is analyzed the resource situation of cluster aggregate resource, a group node, individual node according to user's request, on foreground, Web page shows fast.
The tree-like supervision method of large-scale cluster node multidate information of the present invention, comprise analytical system resource information, study its storage means and data structure, utilize the information of each group node obtained to concentrate the service condition of showing cluster resource, and then launch to show the details of all nodes in every group.The tree-like supervision method of this large-scale cluster node multidate information both can enable user check the overall service condition of whole cluster resource fast in root node mode, also the average service condition of different node grouping can be checked, the information of each node can also be checked targetedly, realize the recurrence display of large-scale cluster node multidate information.Avoiding user carries out loaded down with trivial details selection node operation when checking node, strengthening the analysis ability that clustered node runs, improve operating efficiency.Cluster system resource parameter is the key message that user understands system service condition, and conveniently user uses, and establishes a kind of tree-like supervision method of large-scale cluster node multidate information, enables that user is quick, directly perceived must see resource service condition.
Accompanying drawing explanation
Fig. 1 is the flow chart of the specific embodiment of the tree-like supervision method of a kind of large-scale cluster node multidate information of the present invention.
Embodiment
For making above and other object of the present invention, feature and advantage can become apparent, cited below particularly go out preferred embodiment, and coordinate institute's accompanying drawings, be described in detail below.
As shown in Figure 1, Fig. 1 is the flow chart of the tree-like supervision method of a kind of large-scale cluster node multidate information of the present invention.In step 101, carry out the collection of system resource parameters.Flow process enters into step 102.
In step 102, node type information is configured, child node scope is set, and by which child node managed stored in each Agent node in tables of data.Flow process enters into step 103.
In step 103, child node collects the information of the Agent node managed and write into Databasce.Flow process enters into step 104.
In step 104, user sends page display request, and system obtains the time of request.Flow process enters into step 105.
In step 105, system judges the node type of page display request.Flow process enters into step 106.
In step 106, system is analyzed according to node type, if root node, that just analyzes whole cluster resource gathers parameter; If child node, need to judge that whether this child node is containing subordinate's child node, if there is subordinate's child node, that so will analyze the leaf node that all subordinates child node is connected gathers parameter; If do not have subordinate's child node, that so analyzes the leaf node that this child node is connected gathers parameter.Resource aggregation parameter, comprises child node name, leaf segment that the state of child node, child node manage is called the roll, the mean value of the system resource of all leaf nodes under this child node, and obtains the time of this mean value.In order to improve the display efficiency of the page, for the display of root node and child node, the value of length of need being separated by according to the time of depositing summary record in display request time and database is carried out analysis and is contrasted, if the time is short, and the above summary information directly in reading database; If the time is long, recalculate above summary information.And for the display of leaf node, be then the record in direct reading database.Flow process enters into step 107.
In step 107, according to the various information obtained, carry out plot and display.
Claims (5)
1. a tree-like supervision method for large-scale cluster node multidate information, is characterized in that comprising:
Step 1, utilizes the system resource parameters of the collection of depositing in database, determines in cluster, how each node divides into groups, and namely how to determine the root of node, son, leaf three types; And
Step 2, utilizes the resource operation parameter of the whole nodes obtained, and according to the node type of display request, shows different information according to root node, child node, leaf node.
2. the tree-like supervision method of large-scale cluster node multidate information according to claim 1, it is characterized in that: in step 1, supervisory control system will gather the resource operation parameter of each node in cluster, comprises process number, cpu usage, internal memory service condition, local disk read or write speed, network transfer speeds.
3. the tree-like supervision method of large-scale cluster node multidate information according to claim 2, is characterized in that: in step 1, by configuration data structure, is effectively divided into groups by node, and what root node was corresponding is cluster aggregate resource; Namely a group node is a child node, its corresponding a collection of Agent node, and child node is responsible for the details of collecting each Agent node, and submits to database and preserve; Leaf node is namely corresponding is individual node in system.
4. the tree-like supervision method of large-scale cluster node multidate information according to claim 3, it is characterized in that: in step 2, when the page proposes display request, first system can judge the node type showing request, then carries out different operations according to root node, child node, leaf node.
5. the tree-like supervision method of large-scale cluster node multidate information according to claim 4, it is characterized in that, in step 2, after system background is analyzed the resource situation of cluster aggregate resource, a group node, individual node according to user's request, on foreground, Web page shows fast.
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| CN107943665A (en) * | 2017-12-14 | 2018-04-20 | 中盈优创资讯科技有限公司 | A kind of system host monitoring method and device |
| CN108989080A (en) * | 2018-05-29 | 2018-12-11 | 华为技术有限公司 | The method and apparatus of management node |
| WO2019001280A1 (en) * | 2017-06-29 | 2019-01-03 | 中兴通讯股份有限公司 | Heterogeneous virtual computing resource management method, related device, and storage medium |
| CN112988739A (en) * | 2019-12-18 | 2021-06-18 | 阿里巴巴集团控股有限公司 | Data management and processing method, device, computer system and readable storage medium |
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