Network failure detection method and related network elements

Abstract

The embodiment of the invention discloses a network failure detection method for accurately reflecting the actual state of the current network. The method of the embodiment of the invention comprises that a front end network element sends multiple communication request messages to a rear end network element; multiple response messages corresponding to the multiple communication request messages are received; delay parameters are calculated according to the multiple communication request messages and the multiple response messages, the delay parameters are used for indicating the delay states of the multiple response messages corresponding to the multiple communication request messages; the front end network element judges whether the network state is normal according to the delay parameters. According to the method provided by the embodiment of the invention, the influence of the current network state on user waiting time is reflected; compared with the method in the prior art, the method of the invention can reflect the actual state of the current network more accurately. The embodiment of the invention also provides the related front end network element.

Description

technical field [0001] The present invention relates to the communication field, in particular to a network fault detection method and related network elements. Background technique [0002] In the communication system, the network between network elements is often in a sub-healthy state, which is manifested in packet loss, error packet, delay, jitter, one-way communication, network congestion, insufficient bandwidth, etc., resulting in unsmooth network services , the user experience is degraded. Due to the complexity of network protocols and the diversity of environmental interference, network sub-health is an unavoidable phenomenon. Therefore, timely and accurate detection of sub-health status of the network is extremely valuable for optimizing network services and improving user experience. The current technology uses the following method to detect the sub-health state of the network: In the communication system, the network element at one end sends a detection message ...

AI Technical Summary

Problems solved by technology

But in fact, the current network is already in a sub-healthy state, and users need to spend a lot of time waiting for the session to be connected

Therefore, the indicator of connection rate cannot reflect the impact of current network conditions on user waiting time, so it cannot accurately reflect the actual state of the current network

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