通信学报2025，Vol.46Issue(8)：41-52,12.DOI:10.11959/j.issn.1000-436x.2025142
基于带内网络遥测数据的流量预测与负载均衡
Traffic prediction and load balancing based on in-band network telemetry data
摘要
Abstract
To address the challenges of massive telemetry data analysis in network operation and management,a network control automation system was designed.The overall architecture followed the"monitor-analyze-control"principle.The SRv6-INTO algorithm was used in the monitoring module for telemetry data collection and orchestration.To alleviate the load on the control plane,a data processor was developed in the data plane to perform preliminary processing of the telemetry data.The analysis module employed a combination of long short-term memory networks and attention mecha-nisms for traffic forecasting based on the telemetry data.The control module dynamically adjusted service flow paths us-ing SRv6 technology,based on the prediction results from the analysis module.Simulation results show that the pro-posed model outperforms other methods in prediction accuracy and successfully achieves congestion avoidance.关键词
带内网络遥测/网络控制自动化/流量预测/负载均衡Key words
in-band network telemetry/network control automation/traffic prediction/load balancing分类
信息技术与安全科学引用本文复制引用
张旭,赵晨熙,冯川,文婷,刘炜,郭磊..基于带内网络遥测数据的流量预测与负载均衡[J].通信学报,2025,46(8):41-52,12.基金项目
国家自然科学基金资助项目(No.62201105,No.62331017) （No.62201105,No.62331017）
重庆市教育委员会科学技术研究基金资助项目(No.KJQN202400621) （No.KJQN202400621）
重庆市自然科学基金资助项目(No.CSTB2025NSCQ-GPX1283)The National Natural Science Foundation of China(No.62201105,No.62331017),The Chongqing Municipal Education Commission(No.KJQN202400621),The Natural Science Foundation of Chongqing(No.CSTB2025NSCQ-GPX1283) （No.CSTB2025NSCQ-GPX1283）
