IP network fault locating method based on static Bayesian model

A Bayesian model and fault location technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve problems such as high computational complexity, fault location methods are easily affected by noise, etc., and achieve the effect of reducing the scale of the system

Inactive Publication Date: 2016-11-16
ANHUI AGRICULTURAL UNIVERSITY
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Problems solved by technology

[0007] The purpose of the present invention is to provide a static Bayesian model-based IP network fault location method to solve the problem that the prior art network fault location method is easily affected by noise and has high computational complexity

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  • IP network fault locating method based on static Bayesian model
  • IP network fault locating method based on static Bayesian model
  • IP network fault locating method based on static Bayesian model

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Embodiment Construction

[0048] The present invention provides a static Bayesian model-based IP network fault location method, such as figure 2 As shown, the process of the method is as follows:

[0049] (101) Obtaining the topology of the target network. The upper-layer fault management system can collect link information between devices in the device network management through the interface, and reconstruct the target network topology for fault location.

[0050] (102) Send an end-to-end probe and receive a probe result.

[0051] (103) if image 3 As shown, through the detection and filtering module, the suspected fault set is obtained according to the detection results, and the inaccurate detection results are filtered. The specific process is as follows:

[0052] 301) Due to the presence of IP network noise, detection often presents contradictory results. For example, through the detection T of the faulty node A 1 The return result fails, and another probe T through node A 2 but returns suc...

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Abstract

The invention discloses an IP network fault locating method based on a static Bayesian model. On the one hand, a suspected fault filtering module is additionally arranged; therefore, influence of network noise on a detection result is eliminated; the fault locating accuracy is greatly improved; on the other hand, a fault pre-processing module is additionally arranged; therefore, the optimal fault set is calculated; the complexity of the existing algorithm is greatly reduced; and thus, the IP network fault locating method disclosed by the invention is suitable for large-scale network topology.

Description

technical field [0001] The invention relates to the field of network fault location methods, in particular to an IP network fault location method based on a static Bayesian model. Background technique [0002] The existing fault location technologies mainly include deterministic reasoning technology and uncertain reasoning technology. The deterministic reasoning technology means that the occurrence of a fault will inevitably lead to the occurrence of certain symptoms, mainly rule-based, model-based, etc.; Deterministic reasoning technology means that the occurrence of faults leads to certain symptoms with a certain probability. At present, the fault location technology based on Bayesian network is more popular, including fault location technology based on static Bayesian network and dynamic Bayesian network. The fault location technology of YES network is applicable to application scenarios of different network scales. The present invention mainly studies the fault location...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24
CPCH04L41/0604H04L41/0677
Inventor 乔焰焦俊马慧敏王婧沈春山王永梅朱诚张兵
Owner ANHUI AGRICULTURAL UNIVERSITY
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