摘要
在软件定义网络(SDN)所驱动的云边协同架构里,流量调度策略具有关键意义,尤其是时延敏感的业务,面临边缘节点资源的有限性以及传统调度方案在高并发情形下的缺陷,如存在负载不均及时延不可掌控等。因此,本研究制订了一种基于SDN的流量调度算法,此算法凭借虚拟网络功能(VNF)的动态设置与智能流量分割手段,实现了边缘资源的优化利用,扩充了系统的吞吐规模。仿真实验证明了该算法可有效提升服务质量,适用于多种网络业务场景。
In the cloud edge collaborative architecture driven by Software Defined Networking(SDN),traffic scheduling strategies are of crucial importance,especially for latency sensitive services that face limited edge node resources and the shortcomings of traditional scheduling schemes in high concurrency scenarios,such as uneven load and uncontrollable latency.Therefore,this study developed an SDN based traffic scheduling algorithm,which utilizes the dynamic setting of virtual network functions(VNFs)and intelligent traffic segmentation methods to optimize the utilization of edge resources and expand the throughput scale of the system.Simulation experiments have proven that the algorithm can effectively improve service quality and is suitable for various network business scenarios.
作者
王瑛
WANG Ying(Fujian Chuanzheng Communications College,Fuzhou Fujian 350007)
出处
《软件》
2025年第8期1-3,共3页
Software
基金
校内横向科研项目“企业网站的优化开发及数据库深度应用”(H202312036)。
关键词
SDN
云边协同
流量调度
智能算法
SDN
cloud edge collaboration
traffic scheduling
intelligent algorithms
