基于数字孪生的CDN业务智能调度和保障实践OA
Intelligent Scheduling and Assurance Practice of CDN Business Based on Digital Twin
针对算力网络调度效率低、运维保障难、资源利用率不足等问题,该文构建了数字孪生CDN智能调度和保障平台.通过网络孪生仿真优化策略,实现算网全域感知、流程观测、调度调节及耗能优化,变被动运维为主动,保障数据传输稳定与安全.实验结果显示,路由调优将传输时间从分钟级缩短至秒级,动态流量负载调节能提升资源利用率,结合节能方案有助于运营商降本增效.该平台可提升智能运维水平,构建差异化服务,保障客户体验,支持算网业务低成本实验与智能化创新.
To address the problems of low scheduling efficiency,difficult operation and maintenance,and insufficient resource utilization in computing power networks,this paper constructs a Digital Twin CDN intelligent scheduling and assurance platform.Through the network twin simulation optimization strategy,the platform achieves global perception,process observation,scheduling adjustment,and energy consumption optimization of the computing and network,transforming passive maintenance into active one to ensure the stability and security of data transmission.Experimental results show that routing optimization shortens the transmission time from minutes to seconds,and dynamic traffic load regulation improves resource utilization.Combined with energy-saving schemes,the platform helps operators reduce costs and increase efficiency.This platform improves the level of intelligent operation and maintenance,builds differentiated services,guarantees customer experience,and supports low-cost trials and intelligent innovation of computing and network businesses.
田柳;吴传杰;林琳;肖祎杰;朱振凯;刘畅
安徽职业技术大学,安徽 合肥 230011中国移动通信集团安徽有限公司,安徽 合肥 230088中国移动通信集团安徽有限公司,安徽 合肥 230088中国移动通信集团安徽有限公司,安徽 合肥 230088中国移动通信集团安徽有限公司,安徽 合肥 230088中国移动通信集团安徽有限公司,安徽 合肥 230088
信息技术与安全科学
CDN数字孪生智能调度SRv6
CDNDigital Twinintelligent schedulingSRv6
《现代信息科技》 2026 (4)
174-178,184,6
2025 年度安徽省教育厅高校科研自然科学重大项目(2025AHGXZK20173、2025AHGXZK20089)2025 年度安徽省教育厅青年骨干教师境内外访学研修资助项目(JNFX2025145)2025 年度安徽省职业与成人教育协会教育科研规划课题(AZCJ2025230)
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