[1]刘凤玉,李千目,衷宜.基于贝叶斯分类的分布式网络故障诊断模型[J].南京理工大学学报(自然科学版),2003,(05):546-550.
 LiuFengyu LiQianmu Zhong Yi.A Distributed Network Fault Diagnosis Model Based on Bayesian Classification[J].Journal of Nanjing University of Science and Technology,2003,(05):546-550.
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基于贝叶斯分类的分布式网络故障诊断模型()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2003年05期
页码:
546-550
栏目:
出版日期:
2003-10-30

文章信息/Info

Title:
A Distributed Network Fault Diagnosis Model Based on Bayesian Classification
作者:
刘凤玉李千目衷宜
南京理工大学计算机科学与技术系, 南京210094
Author(s):
LiuFengyu LiQianmu Zhong Yi
Department of Computer Science and Technology,NUST,Nanjing 210094
关键词:
分布式结构 贝叶斯分类 故障诊断
Keywords:
dist ributed architecture Bayesian classificat ion fault diagnosis
分类号:
TP18
摘要:
该文提出了一个基于Agent的分布式网络故障诊断系统模型框架 ,该模型对贝叶斯分类理论进行了推广。模型将先验知识和观察数据结合起来 ,从而大大改进了系统的诊断性能。模型采用一定的状态检查和验证策略 ,保证了Agent的自身安全和通信安全。Agent之间各自独立 ,相互协作 ,合作完成诊断任务。该模型与特定的系统应用环境无关。因此 ,该文提供了一个通用的网络故障诊断系统框架。
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.

参考文献/References:

1 Wooldridge M. Intelligent agents: T he key concepts[ A] . Sudkamp T A. Mult-i agent Systems and Applications[ C] . Vir ginia: Georg ia Institute of Technology, 2001. 3~ 43.
2 Brazier F M T, v an Steen M, Wijng aards N J E. Distr ibuted shared agent representatio ns[ A] .Bourne S R. International Workshop o n Adaptabilit y and Embodiment Using Mult-i agent Systems[ C] . San Mateo, CA: Morg an Kaufmann Publishers Inc, 2001. 213~ 220.
3 徐永红, 杨云, 李千目, 等. CQTCCA: 一种新的拥塞/ 速率控制算法[ J] . 南京大学学报, 2002,38( 增刊) : 198~ 204.
4 Liu Zhiqiang. Causation, Bay esian netw orks, and cognitive maps[ J] . ACTA Automatica Sinica,2001, 27( 4) : 552~ 566.

备注/Memo

备注/Memo:
国家自然科学基金 (6 0 2 73137) ;国防科工委基础研究项目 (42 0 0 10 70 1)
刘凤玉( 1943—) , 女, 1961 年9 月就读南京大学, 教授, 博士生导师。主要研究方向: 网络性能和信息安全。E-mail: liu. feng yu@ 263. net
更新日期/Last Update: 2013-03-17