节点文献
基于多Agent和数据融合的网络故障检测研究
Research on Network Fault Detection based on Multi-Agent and Data Fusion
【摘要】 在多Agent基础上提出了一种塔式网络故障检测结构,克服了集中式网络故障检测系统存在的诸多缺陷。这种基于最优分组原则建构的塔式结构与多Agent本身优点相结合,能够有效降低检测信息流量,保证网络的负载均衡和实时响应。同时,基于D-S证据理论设计Agent的思路,为网络故障检测提供了一种高效实用的新途径。
【Abstract】 The traditional central network fault detection system has many flaws. Therefore the pyramid structure based on multi-Agent is proposed as a new method for network detection. When the pyramid structure based on optimal group principle combines with the advantages of multi-Agent, it can effectively reduce information flow and guarantees the network load equalization and real-time response. Moreover, designing Agents based on D-S evidential theory has provided a highly effective and practical new method for network fault detection.
【关键词】 故障检测;
塔式结构;
最优分组;
数据融合;
D-S证据理论;
【Key words】 Fault Detection; Pyramid Structure; Optimal Group; Data Fusion; D-S Evidential Theory;
【Key words】 Fault Detection; Pyramid Structure; Optimal Group; Data Fusion; D-S Evidential Theory;
【基金】 国家自然科学基金青年基金资助项目(10201019)
- 【文献出处】 现代计算机 ,Modern Computer , 编辑部邮箱 ,2006年02期
- 【分类号】TP393.06
- 【下载频次】82