一种基于多目标微粒群优化的虚拟网络映射方法

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。

A Multi-Objective Particle Swarm Optimization based Virtual Network Embedding Algorithm

Aim to the problem of unified resource optimized allocation when executing multi-virtual network embedding synchronously, a multi-objective particle swarm optimization based virtual network embedding method is proposed to increase the performance of resource utilization and global load balance of the substrate network resource. We put forward a multi-objective optimization model for virtual network embedding, on the basis of which the single virtual network embedding is considered as a swarm and the information exchange among different swarms so as to evolve corporately by employing multi-swarm coordination optimization method, then increasing the performance of global resource allocation. The simulation results show that the proposed method maintains the best performance of the substrate network resource utilization ratio and virtual network request acceptance ratio compared with typical methods.