中文摘要：

绿色网络是近年来网络技术研究的热点,以节能为优化目标的虚拟网络映射算法成为基于网络虚拟化技术中资源分配研究的重点。提出了应用粒子群优化的绿色虚拟网络映射算法,重定义粒子群优化算法中的参数和粒子进化行为,以关闭底层网络节点和链路数量最多为适应度函数,在较低的算法复杂度条件下,获得绿色虚拟网络映射的最优解。仿真结果表明,与对比算法相比,静态环境下所提算法的运行时间大幅度降低;动态环境下所提算法的节点关闭率、链路关闭率、虚拟网络请求接受率均有所提升,算法运行时间也大大缩短。

英文摘要：

Green network is a hotspot in network research recent years, virtual network embedding （VNE） algorithm which focuses on saving energy, becomes very important in resource allocation in the network virtualization. A green VNE algorithm which applies swarm particle optimization （GVNE-PSO） was proposed, the evolution behaviors and parameters of each particle was redefined, and the number of nodes and links that could be switched off as the fitness function were considered, the optimum solution of green VNE in a low time complexity was achieved. The results show that compared to the exiting algorithm, it greatly reduced the time complexity offline, when online, it also raised the rate of virtual network acceptance, and the same with nodes and links that can be switched off, what＇s more. the vefformance veried are shorter.