A fault diagnosis method based on network historical topology traffic

Abstract

The invention discloses a fault diagnosis method based on network historical topology traffic. Data is collected through a self-defined SNMP-MIB, and traffic data is collected based on the flow. Then, the traffic data is correlated with the topology data, and the topology at this moment is correlated with the topology data. The traffic correlation data is saved to generate historical traffic topology data based on the time dimension; administrators can retrieve and analyze the historical traffic topology data based on the time dimension, and then perform fault location and cause analysis, so as to quickly locate the fault location and cause.

Description

technical field [0001] The invention belongs to the field of network communication, and in particular relates to a fault diagnosis method based on network historical topology traffic. Background technique [0002] Computer network has become an indispensable part of various human activities. However, the rapidly growing user group and the huge amount of data transmission have brought more and more pressure to the network, the network structure has become more and more complex, the network controllability has gradually decreased, and the occurrence of network failures has become more and more frequent, which greatly affects The normal operation of the network has brought huge losses to the economy. Therefore, how to manage the network effectively has become a problem that people pay more and more attention to. [0003] Network management ensures the reliable, stable, continuous, efficient and safe operation of the network by adopting a series of behaviors and means for netw...

AI Technical Summary

Problems solved by technology

[0005] Currently, there are many network management systems. These systems can only monitor the current network status and diagnose the faults of the current environment. They cannot trace back the historical status of the network and the causes of faults, and cannot subdivide traffic and forward traffic. Path and network topology data are not stored, and have not been established with traffic data. Network administrators can only locate and analyze network faults through their own memory status of the network, and then determine the cause of the fault. The quality requirements are very high, the fault location efficiency is low, and the error is large, and it is generally difficult to trace the cause of the fault in the past time period

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