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A Distributed Network Fault Diagnosis Model Based on Bayesian Classification(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2003年05期
Page:
546-550
Research Field:
Publishing date:

Info

Title:
A Distributed Network Fault Diagnosis Model Based on Bayesian Classification
Author(s):
LiuFengyu LiQianmu Zhong Yi
Department of Computer Science and Technology,NUST,Nanjing 210094
Keywords:
dist ributed architecture Bayesian classificat ion fault diagnosis
PACS:
TP18
DOI:
-
Abstract:
A f ramework model proposed in this paper is a dist ributed netw ork diagnosis sysfem based on Agent , w hich extends Bayesian Classif icat ion T heory. The prior knowledge could be combined with observed data, w hich great ly improves the performance of the system. The static-checking and policy of authentication mechanism ensure the security of the agent s themselves and the communicat ion among them. Agents are independent but are capable of commun-i cat ion w ith each other w hen they work their act ions. The model is independent of specif ic appl-i cat ion environment, thus providing a general f ramework for network fault diagnosis.

References:

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Memo

Memo:
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Last Update: 2013-03-17