摘要
以交通运输网络为例对网络化系统进行了建模分析,利用人工代谢系统的代谢灵敏度折线图对网络支路流量变化进行了分析,得到了故障产生的瓶颈位置.通过调节代谢算子对网络拥塞程度进行了控制,使网络流量趋于平衡,最终实现网络自愈.实例分析表明:人工代谢系统能实现故障的准确定位,代谢反馈调节机制在网络自愈中起到了关键作用.
Fault diagnosis is a complex problem in network system. The main reason is that there may be some possible factors in the fault. Taking a transportation network for example, the network system was modeled and analyzed. The situation of traffic flow in network paths was analyzed by metabolic sensitivity curve in artificial metabolic system and the fault bottleneck was gained. Network congestion could be controlled by adjusting the metabolic operators, and load balance in network traffic flow could be realized. At last, the aim of self-healing for the total network system was reached. The fault points could be located accurately with an artificial metabolic system. The artificial metabolism feedback mechanism played a key role in network self- healing.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第6期37-40,共4页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目(60874008)
湖南省自然科学基金资助项目(07JJ6126)
关键词
新陈代谢
人工代谢系统
代谢灵敏度
故障诊断
网络自愈
metabolism
artificial metabolic system
metabolic sensitivity
fault diagnosis
network self-healing
