摘要
针对云计算多元化复杂的网络结构环境,提出一种旨在改善网络路由的蚁群优化算法.新算法在原有蚁群算法智能寻优的基础上,加入网络节点在网审查机制,实时判断网络节点是否在网,选择最优解路径.仿真实验表明,改进算法能有效的改善因为网络节点在网情况的多变性而造成的部分路径失效的情况,进而缓解网络拥塞.
Aimed at diversified and complex network structure environment in cloud,an ant colony optimization algorithm is proposed to improve the network routing quanlity.Based on the original intelligent optimization ant colony algorithm,the new algorithm adopts an network node review mechanism which can judge the network node is online or not in real time,and then select the optimal solution network routing path.Simulation result shows that improved algorithm can effectively improve the network routing quanlity when partial network path has no effect caused by the variability of the network nodes in the network,and so solve some network congestion problems.
出处
《微电子学与计算机》
CSCD
北大核心
2013年第1期24-27,共4页
Microelectronics & Computer
基金
重庆市自然科学基金(CSTC2009BB-2287)
重庆邮电大学青年基金(A2009-52)
重庆邮电大学计算机学院"云计算"专项(JK-Y-2010001)
关键词
云计算
蚁群算法
在网审查
网络路由
信息素
cloud computing
ant colony optimization
network review
network routing
pheromone
