节点文献
云环境下基于改进蚁群算法的网络路由优化
Network Routing Optimization in Cloud Based on Improved Ant Colony Algorithm
【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.
【Abstract】 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.
【Key words】 cloud computing; ant colony optimization; network review; network routing; pheromone;
- 【文献出处】 微电子学与计算机 ,Microelectronics & Computer , 编辑部邮箱 ,2013年01期
- 【分类号】TP393.02
- 【被引频次】3
- 【下载频次】199