A network detection method, network fault detection method and system

Abstract

The invention discloses a network detection method, a network fault detection method and a system. The network detection method is suitable for execution in a network server. The network server communicates with one or more aggregation servers and is connected to multiple Internet data centers. The network The detection method includes: obtaining network topology information, which includes the number and connection relationship of each host, each switch, and each Internet data center; generating a network detection list corresponding to each host according to the network topology information; responding to the list sent by the data probe An update request, sending the network detection list corresponding to the host associated with the data probe to the data probe, instructing the data probe to perform network status detection at a preset first time interval, and sending the detection result to the network server; Receive the detection results reported by each data probe, form each detection result into corresponding index data, and send it to the corresponding aggregation 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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