基于蚁群算法的网络故障定位方法  

Network Fault Location Method Based on Ant ColonyAlgorithm

作　　者：王育玲[1] 王慧[1] 刘昌华[1] 

机构地区：[1]武汉轻工大学数学与计算机学院,武汉430023

出　　处：《计算机与数字工程》2016年第8期1412-1415,共4页Computer & Digital Engineering

基　　金：湖北省自然科学基金资助项目:流控制传输协议的拥塞控制新型计算模型研究(编号:2009Chb008)资助

摘　　要：随着网络技术的发展和演变,网络设备的正常运行是满足用户业务的最基本需求,也是网络业务正常运行的关键。为此,论文提出以蚁群算法快速查找网络故障,它利用设备信息素浓度强弱判断网络设备故障概率,根据信息素浓度构造业务故障路径。With the development and evolution of network technology, the normal operation of network equipment is he most basic needs of the needs of business users and the key of the normal operation of network services. Therefore, this aper proposes to find a network failure quickly with ant colony algorithm, which uses equipment pheromone concentration to etermine the strength of the network devices failure probability, according to the pheromone concentration the business ailed path is constructed.

关 键 词：蚁群算法 网络故障 故障路径 信息素浓度 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]