| 基于信息熵理论的网络化集群系统的可靠性分析 |
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| 引用本文： | 黄大荣,汪鹏,朱波.基于信息熵理论的网络化集群系统的可靠性分析[J].控制理论与应用,2012,29(2):177-182. |
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| 作者姓名： | 黄大荣 汪鹏 朱波 |
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| 作者单位： | 重庆交通大学信息科学与工程学院桥梁结构工程重点实验室,重庆,400074 |
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| 基金项目： | 国家自然科学基金资助项目(61004118); 中国博士后科学基金资助项目(20060401018); 重庆交通大学(桥梁)结构工程重点实验室开放基金资助项目(CQSLBF-Y11-5); 重庆交通大学博士启动基金资助项目(07-01-12). |
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| 摘 要： | 首先, 从信息论的角度借用信道容量概念定义了网络化集群系统的可靠度模型; 然后, 在已知一个节点可靠度和链接概率分布的条件下, 基于所建立的网络化工程系统的可靠度模型, 通过对拉格朗日微分方程的求解, 给出了网络节点链接失败概率总和达到最大时, 单节点链接失败概率的计算方法; 在此基础上, 基于已知一个节点可靠度的条件, 通过微分方程给出了网络节点链接失败概率总和达到最小时单节点链接失败概率的计算模型; 最后, 给出了一些具有导向性的结论.
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| 关 键 词： | 可靠性 网络化集群系统 信息熵 信道容量 链接概率分布 |
| 收稿时间： | 5/4/2011 12:00:00 AM |
| 修稿时间： | 2011/10/23 0:00:00 |
Reliability of networked-group systems based on information entropy |
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| HUANG Da-rong,WANG Peng and ZHU Bo.Reliability of networked-group systems based on information entropy[J].Control Theory & Applications,2012,29(2):177-182. |
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| Authors: | HUANG Da-rong WANG Peng and ZHU Bo |
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| Affiliation: | Key Laboratory of Structural Engineering, College of Information Science and Engineering, Chongqing Jiaotong University,Key Laboratory of Structural Engineering, College of Information Science and Engineering, Chongqing Jiaotong University,Key Laboratory of Structural Engineering, College of Information Science and Engineering, Chongqing Jiaotong University |
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| Abstract: | The reliability model for evaluating the reliability of the networked-group systems is built based on the channel capacity. Given the reliability degree of a node and the link probability distribution of every node, we develop a method for computing the link-failure probability of that node when the total sum of the link-failure probabilities of all nodes in the network reaches the maximum. On this basis, when the reliability degree of a node is given, we also derive the method for computing the link-failure probability of that node when the total sum of the link-failure probabilities of all nodes in the network reaches the minimum. Proposals for further research are given. |
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| Keywords: | reliability networked-group systems information entropy channel capacity link probability distribution |
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