Network detection method, and network failure detection method and system

Abstract

The invention discloses a network detection method, and a network failure detection method and system. The network detection method is suitable to be executed in a network server; and the network server has a communication connection with one or multiple aggregator servers and accesses multiple internet data centers. The network detection method comprises the steps of: acquiring network topological information which contains series numbers and connection relationships of each host, each exchanger and each internet data center; generating a network detection list corresponding to each host according to the network topological information; responding to a list updating request sent by a data probe, sending the network detection list corresponding to the host related to the data probe to thedata probe, so as to indicate the data probe to detect the network state by a presetting first interval and send the detection result to the network server; and receiving detection results reported byeach data probe, forming each detection result into corresponding index data and sending the index data to the corresponding aggregator server.

Description

technical field [0001] The invention relates to the field of computer networks, in particular to a network detection method, a network fault detection method and a system. Background technique [0002] Internet companies often have tens of thousands of servers. These servers are distributed in multiple computer rooms across the country and are connected to each other to form a company intranet. There are extensive network communications between computer rooms and between servers in the intranet, so the importance of communication quality is self-evident. Communication quality is measured by the corresponding index data, and the generation of index data depends on the detection results obtained from the detection of cyberspace. [0003] Existing network detection schemes are mostly divided into two categories. One is manual detection, which is time-consuming and laborious, lacks data support, and has low accuracy. The other is to actively detect network conditions by deployi...

AI Technical Summary

Problems solved by technology

[0003] Existing network detection schemes are mostly divided into two categories. One is manual detection, which is time-consuming and laborious, lacks data support, and has low accuracy. The other is to actively detect network conditions by deploying probes on all online servers. There are problems such as incomplete network topology coverage and difficult comprehensive utilization of detection data

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