一种基于多目标微粒群优化的虚拟网络映射方法

发布时间：2018-05-21 05:48

本文选题：虚拟网络映射 + 多目标优化　；参考：《国防科技大学学报》2013年05期

【摘要】：针对多个虚拟网络同时映射时资源统一优化分配的问题,提出了一种基于多目标微粒群优化的虚拟网络映射方法(MSC-VNE),提高底层网络资源利用率及全局负载均衡性能。建立了虚拟网络映射的多目标优化模型,将单个虚拟网络映射作为一个子群,并采用多子群协作优化的方法在子群映射时通过相互信息交换进行协同进化,最终达到全局资源的优化分配。仿真结果表明,与典型成果相比,提出的方法有效地提高了底层网络资源利用率和虚拟网络构建成功率。
[Abstract]:Aiming at the problem of unified resource allocation when multiple virtual networks are mapped at the same time, a multi-objective particle swarm optimization based virtual network mapping method is proposed to improve the resource utilization and global load balancing performance of the underlying network. The multi-objective optimization model of virtual network mapping is established. The single virtual network mapping is regarded as a subgroup, and the multi-subgroup cooperative optimization method is used to co-evolve by exchanging information between subgroups. Finally, the optimal allocation of global resources is achieved. The simulation results show that compared with the typical results, the proposed method can effectively improve the utilization rate of the underlying network resources and the success rate of virtual network construction.
【作者单位】：清华大学计算机科学与技术系;
【分类号】：TP393.01

【参考文献】