移动内容网络电视CDN智能调度架构与方案研究  

Research on the intelligent scheduling architecture and solution of mobile content internet TV CDN

作　　者：张旭辉[1] ZHANG Xuhui(China Mobile Group Sichuan Co.,Ltd.,Chengdu 610097,China)

机构地区：[1]中国移动通信集团四川有限公司,四川成都610097

出　　处：《通信与信息技术》2024年第6期11-15,共5页Communication & Information Technology

摘　　要：目前,大流量场景对传统的内容分发网络(CDN)提出了更多的挑战,针对节点间和节点内的调度场景,打造融合AI的智能调度算法,通过秒级数据采集形成完善的CDN服务指标体系,生成基于服务节点负载、热点内容的调度决策模型。该调度策略在流量高峰期提供差异化保障,从用户服务节点调度、热点内容预判和即时调度三个维度打造高效内容网络。Currently,large traffic scenarios pose more challenges to traditional content delivery network(CDN).This paper aims at inter-node and intra-node scheduling scenarios to create an intelligent scheduling algorithm that integrates AI.It forms a complete CDN service indicator system through second-level data collection,and generates a scheduling decision model based on service node load and hot content.This scheduling and testing strategy provides differentiated guarantees during peak traffic periods and creates an efficient content network from three dimensions:user service node scheduling,hot content prediction and real-time scheduling.

关 键 词：CDN网络 智能调度 AI 

分 类 号：TP393.2[自动化与计算机技术—计算机应用技术]