云南师范大学学报（自然科学版）2023，Vol.43Issue(6)：39-42,4.DOI:10.7699/j.ynnu.ns-2023-078
一种优化的互联网用户流量定向调度
A Targeted Scheduling Method for Internet User Traffic
摘要
Abstract
Using software defined network architecture,an online scheduling mechanism for analyzing and predicting internet user traffic was established.Through steps such as analyzing and predicting in-ternet user traffic,identifying abnormal traffic,and online scheduling,targeted scheduling of internet user traffic was achieved.At the same time,the routing mechanism of internet user traffic was opti-mized by utilizing SRv6 service chain technology to effectively avoid traffic congestion in the link,and a semi supervised learning based traffic clustering method for internet user traffic clustering was a-dopted to reduce traffic scheduling time.The experimental results show that the maximum link utiliza-tion rate of this method is low,the throughput rate is high,and the scheduling time is short.It can make the network load of internet user traffic scheduling more balanced,improve node activity and scheduling efficiency.关键词
互联网用户流量/软件定义网络/SRv6服务链技术/流量聚类Key words
Internet user traffic/Software defined network/SRv6 service chain technology/Traffic clustering分类
信息技术与安全科学引用本文复制引用
王宏杰,杨波,徐胜超,毛明扬,蒋金陵..一种优化的互联网用户流量定向调度[J].云南师范大学学报（自然科学版）,2023,43(6):39-42,4.基金项目
国家自然科学基金资助项目(61772221) （61772221）
广州华商学院校内导师制科研资助项目(2023HSDS06). （2023HSDS06）
