基于粒子群优化的多虚拟网络同步映射

Multi virtual network synchronization mapping method based on particle swarm optimization

针对多个虚拟网络同时映射的资源优化问题,提出一种基于粒子群优化的多个虚拟网络同步映射方法。通过在传统映射模型中引入判断指标,重新构建多个虚拟网络同步映射优化模型;将单个虚拟网络看作粒子子群,在粒子群优化算法的框架内将多虚拟网络同时映射看作是多个子群交互的协同优化问题,实现底层网络资源的全局最优化配置。实验结果表明,该方法能够满足多个服务提供商同步映射需求,能够在全局范围内实现资源的最优化配置,有效提升了多虚拟网络同步映射的性能指标。

To solve the problem of simultaneous mapping resource optimization for multiple virtual networks,a method for simultaneous mapping of multiple virtual networks based on particle swarm optimization (PSO) was proposed.Multiple virtual network synchronization mapping optimization model was reconstructed by introducing the judgment index into the traditional mapping model.A single virtual network was used as a particle subgroup,within the framework of particle swarm optimization algorithm,multiple virtual network simultaneous mapping was considered as a collaborative optimization problem for multiple subgroups,which realized the global optimization of the underlying network resources.Experimental results show that the proposed method can not only meet the needs of multiple service providers to synchronize the mapping,but also achieve the optimal allocation of resources in the global scope,which effectively improves the performance of multi virtual network synchronization mapping performance.