摘要
针对云计算环境下激光网络中接口选择存在一定的盲目性的问题,提出一种基于遗传算法的云计算激光网络接口选择模型,通过对激光网络中的接口能量、受损情况、选择优先级等指标进行提取分析,组建选择模型,利用遗传算法求出最优解,避免云计算下端口选择不收敛的问题。实验结果表明,该方法能够较好的在云计算环境下完成最优激光网络接口选择,优化效果明显。
For the blindness of the interface selection in the cloud computing laser network, this paper proposes a model of interface selection in cloud computing laser network based on genetic algorithm. It extracted analysis through the indexes of the laser network interface energy, damage condition, priority and more. To get optimal solution through the genetic algorithm of the built selection model. It avoided the non-convergence of the interface selection in cloud computing. The experimental results show that this method can obviously optimize the laser network interface selection.
作者
张汉萍
胡清峰
ZHANG Hart-ping HU Qing-feng(Computer Department, Wuhan Polytechnic, Wuhan 430074, China Faculty of matuematics and statistics, Hubei university, Wuhan 430062, China)
出处
《激光杂志》
北大核心
2017年第4期141-145,共5页
Laser Journal
基金
湖北现代教育技术研究重点课题(2016-F-43113)
关键词
云计算
激光网络
遗传算法
接口选择
收敛
cloud computing
laser network
genetic algorithm
interface selection
convergence