重庆邮电大学学报（自然科学版）2023，Vol.35Issue(6)：1062-1071,10.DOI:10.3979/j.issn.1673-825X.202208060206
面向海量业务场景的网络智能流量调度算法研究
Research on network intelligent traffic scheduling algorithm under massive traffic environment
摘要
Abstract
With the deep integration of the Internet and society,a large number of emerging services have been introduced into the network.To solve the problem of high calculation cost of traditional routing policies and network congestion under massive traffic environment,a network intelligent traffic scheduling algorithm is proposed to realize the efficient transmission of traffic flow to minimize the maximum link utilization.Firstly,according to the traffic matrix,heuristic algorithms are used to calculate the optimal traffic scheduling scheme based on current network status.Secondly,back propagation neural net-work is used to construct the network intelligent scheduling model,and the traffic scheduling model is trained offline ac-cording to the mapping relationship between network states and traffic scheduling scheme.In the network operation stage,the intelligent network traffic scheduling model is used to schedule traffic flows in real time.Experimental verification shows that,compared to traditional heuristic routing strategies,the proposed algorithm has significantly improved indicators such as maximum link utilization,average latency,and maximum packet loss.关键词
流量调度/网络路由/神经网络/负载均衡Key words
traffic scheduling/network routing/neural network/load balancing分类
电子信息工程引用本文复制引用
杜林峰,崔金鹏,章小宁..面向海量业务场景的网络智能流量调度算法研究[J].重庆邮电大学学报（自然科学版）,2023,35(6):1062-1071,10.基金项目
国家自然科学基金项目(62171085,62001087,U20A20156,61871097) （62171085,62001087,U20A20156,61871097）
之江实验室开放课题(2021LC0AB04)The National Natural Science Foundation of China(62171085,62001087,U20A20156,61871097) （2021LC0AB04）
Open Re-search Projects of Zhijiang Lab(2021LC0AB04) （2021LC0AB04）
