A Visual Monitoring Method for Network Management Data Processing Based on Metamodel Topology

Abstract

The present invention provides a network management data processing visualization monitoring method based on meta-model topology, which includes: 1) By extracting data models and associations related to objects and tasks in the data processing process of the network management system, sorting out the IT equipment models and connections involved in the network management system , taking the ownership relationship between objects, tasks, and devices as the cut-off point to generate a two-level nested, end-to-end data processing topology; 2) By detecting device operation status, network connectivity, and task processing progress, analyze task processing logs, analyze Data validity means, real-time output of detection results and attached to various objects of data processing topology, realizes intuitive and effective monitoring means of real-time data processing process of network management, assists network management maintenance personnel, realizes pre-event problem prevention, post-event impact assessment and cause Traceability.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to a method for visual monitoring of network management data processing based on meta-model topology. Background technique [0002] The standard data processing of the network management system includes steps such as collection, analysis, storage, summary, and application. To expand, the main process includes: Firstly, the original data files are regularly extracted from the equipment and OMC and transmitted to the network management server, and the standard storage files are generated through parsing to realize data storage; Realize data warehousing; at this moment, data is collected, analyzed, and stored into the original tables of each manufacturer, and summarized into normalized data tables for different types, and further summarized into business summary tables that business personnel are concerned about, and finally through functional forms such as reports and topics...

AI Technical Summary

Problems solved by technology

[0007] 1. The monitoring content is not comprehensive. The existing technical solutions only monitor from the perspective of whether the data is complete, and the guarantee of data processing needs to comprehensively consider whether the data is complete, whether the data is consistent, and whether the data is reasonable.

[0008] 2. The problem analysis and positioning ability is weak. The existing technical solutions only discover the abnormal problems in the data processing steps, and then present them graphically. The problem can only be located at a certain data problem point, and it is impossible to go deep into the root cause of the problem. analyze

Images