摘要
数据量以及光网络用户增多为光网络带来负担,导致广域骨干网拥堵,为此,提出基于群智能优化技术的光网络资源动态分配方法。描述光网络资源,计算平行链路的利用率,优化平行链路利用率,分配弹性光网络资源,构建光网络吞吐量最大化和光网络节点时延最小化的目标函数,通过粒子群算法,求解队列动态更新函数,获取最优解,为弹性光网络资源动态分配结果。实验结果表明,所提方法的资源动态分配速率式中在80%以上,带宽阻塞率最高仅为13.8%,光网络节点时延短。降低光网络拥堵程度,保证光网络资源利用的充分性。
The increase of data volume and optical network users brings burdens to the optical network and leads to the congestion of the wide-area backbone network.Therefore,a dynamic allocation method of optical network re-sources based on swarm intelligence optimization technology is proposed.Describe the optical network resources,cal-culate the utilization rate of parallel links,optimize the utilization rate of parallel links,allocate elastic optical network resources,construct the objective function of maximizing the throughput of the optical network and minimizing the delay of the optical network nodes,and solve the problem through the particle swarm algorithm.The queue dynamically up-dates the function,obtains the optimal solution,and dynamically allocates the results for elastic optical network re-sources.The experimental results show that the dynamic resource allocation rate of the proposed method is above 80%,the highest bandwidth blocking rate is only 13.8%,and the optical network node delay is short.Reduce the degree of optical network congestion and ensure the adequacy of optical network resource utilization.
作者
葛菁
徐亦丹
陈凌蕙
GE Jing;XU Yidan;CHEN Linghui(Nanchang JiaoTong Institute,Nanchang 330100,China;Nanchang Hangkong University,Nanchang 330063,China)
出处
《激光杂志》
CAS
北大核心
2023年第11期121-125,共5页
Laser Journal
基金
江西省教育厅科学技术研究项目(No.GJJ209311、GJJ2203106)。
关键词
平行链路
弹性光网络
光网络资源
粒子群算法
资源分配
parallel link
elastic optical network
network resources
particle swarm algorithm
resource alloca-tion
