Intelligent network device scanning method based on adaptive factor detection

Abstract

The invention discloses an intelligent network device scanning method based on adaptive factor detection. The method comprises the following steps: an initialization stage of an adaptive factor; and a dynamic updating stage of the adaptive factor. According to the intelligent network device scanning method disclosed by the invention, the concept of adaptive factor is introduced into the field of network device survival detection, three parameters, namely survival counting, the adaptive factor and an adaptive factor change time are introduced to calculate a relatively appropriate scanning weight, realize the adaptive learning of a scanning IP address and the dynamic correction of the adaptive factor, and avoid the occurrence of repeated scanning. Therefore, the number of detection messages can be greatly decreased and the consumption of network resources is reduced on one hand, meanwhile, the non survival devices in the network can be maximally found, the survival detection time is shortened, the problem of insufficient scanning efficiency caused by a huge number of the network devices is solved, and real high efficiency is achieved.

Description

technical field [0001] The invention relates to the field of network device survival detection, in particular to an intelligent network device scanning method based on self-adaptive factor detection for solving the difficulty of device survival detection in a large-scale network environment. Background technique [0002] For large-scale networks, the collection and detection of network resource status is a very important content, because network detection can effectively discover congestion nodes and detect available broadband, which is the basis for achieving load balancing and ensuring stable network operation. At the same time, once the network equipment of a certain node fails, it is necessary to obtain it in time through network detection and take corresponding measures to restore the network operation as soon as possible. [0003] The current common practice for network detection is to rely on the top layer of the network, that is, the core layer to connect to the cent...

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Problems solved by technology

[0007] Aiming at a multi-level distributed network structure including access switches, aggregation switches, core switches, and routers, in order to solve the problem of long time-consuming search for non-surviving devices in a distributed network of massive nodes, the present invention provides a detection method based on adaptive factors The intelligent network device scanning method introduces the concept of adaptive factors into the field of network device survival detection. There are two stages of adaptive factor initialization and adaptive factor dynamic update. Among them, the unified initialization stage is carried out after the network is completed to basically determine the smoothness of the network. It can also be initialized at any time according to the actual situation; while the adaptive factor dynamic update stage is to correct the respective adaptive factors when the background server actively scans the network, so as to further reduce the time spent on scanning

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