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[ "诸葛斌(1976- ),男,博士,浙江工商大学信息与电子工程学院教授,浙江省新世纪151 人才工程第三层次培养人员,主要研究方向为网络与通信技术、互联网技术和网络安全" ]
[ "王林超(1996- ),男,浙江工商大学硕士生,主要研究方向为软件定义网络" ]
[ "宋杨(1996- ),男,浙江工商大学硕士生,主要研究方向为软件定义网络" ]
[ "邵瑜(1994- ),男,浙江工商大学硕士生,主要研究方向为软件定义网络" ]
[ "董黎刚(1973- ),男,博士,浙江工商大学信息与电子工程学院党委书记、教授、硕士生导师,主要研究方向为新一代网络和分布式系统" ]
[ "蒋献(1988- ),男,浙江工商大学实验师,主要从事数字电路实验和模拟电路实验工作" ]
网络出版日期:2022-08,
纸质出版日期:2022-08-20
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诸葛斌, 王林超, 宋杨, 等. 基于LSTM流量预测的路由规划和切换[J]. 电信科学, 2022,38(8):86-100.
Bin ZHUGE, Linchao WANG, Yang SONG, et al. Routing planning and handoff based on LSTM traffic prediction[J]. Telecommunications science, 2022, 38(8): 86-100.
诸葛斌, 王林超, 宋杨, 等. 基于LSTM流量预测的路由规划和切换[J]. 电信科学, 2022,38(8):86-100. DOI: 10.11959/j.issn.1000-0801.2022172.
Bin ZHUGE, Linchao WANG, Yang SONG, et al. Routing planning and handoff based on LSTM traffic prediction[J]. Telecommunications science, 2022, 38(8): 86-100. DOI: 10.11959/j.issn.1000-0801.2022172.
摘 要:随着近年网络技术的不断发展和演进,用户对网络资源的需求体量越来越大,内容越来越复杂,传统的网络架构很难满足当前灵活的网络需求。软件定义网络的革命性技术思想赋予了网络可编程性和可演进性,实现网络资源更灵活的管理。为了提高网络资源利用率,提出了基于LSTM模型的流量预测,为路由规划提供理论依据。通过提前预测网络流量,在流量激增之前进行防御措施保证网络的安全性和稳定性。实现基于流量预测的路由规划、无损路径切换等功能。
With the continuous development and evolution of network technology in recent years
the user’s demand for network resources is becoming larger and larger
and the content is becoming more and more complex.The traditional network architecture is difficult to meet the current flexible network needs.The revolutionary technology of SDN endows the network with programm ability and evolvability
and realizes more flexible management of network resources.In order to improve the utilization of network resources
a traffic prediction agent based on LSTM model was proposed
which provides a theoretical basis for routing planning.By predicting the network traffic in advance
we can take defensive measures before the traffic surge to ensure the security and stability of the network.The function of route planning and lossless path switching based on traffic prediction was realized.
张朝昆 , 崔勇 , 唐翯翯 , 等 . 软件定义网络(SDN)研究进展 [J ] . 软件学报 , 2015 , 26 ( 1 ): 62 - 81 .
ZHANG C K , CUI Y , ANGH H . State-of-the-art survey on software-defined networking(SDN) [J ] . Journal of Software , 2015 , 26 ( 1 ): 62 - 81 .
UHLIG S , QUOITIN B , LEPROPRE J , et al . Providing public intradomain traffic matrices to the research community [J ] . ACM SIGCOMM Computer Communication Review , 2006 , 36 ( 1 ): 83 - 86 .
HOCHREITER S , SCHMIDHUBER J . Long short-term memory [J ] . Neural Computation , 1997 , 9 ( 8 ): 1735 - 1780 .
BENGIO Y , COURVILLE A , VINCENT P . Representation learning:a review and new perspectives [J ] . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2013 , 35 ( 8 ): 1798 - 1828 .
贺小伟 , 徐靖杰 , 王宾 , 等 . 基于GRU-LSTM组合模型的云计算资源负载预测研究 [J ] . 计算机工程 , 2022 , 48 ( 5 ): 11 - 17 , 34 .
HE X W , XU J J , WANG B , et al . Research on cloud computing resource load forecasting based on GRU-LSTM combination model [J ] . Computer Engineering , 2022 , 48 ( 5 ): 11 - 17 , 34 .
杜秀丽 , 陶帆 , 范志宇 , 等 . 面向骨干网流量的非线性组合预测方法 [J ] . 小型微型计算机系统 , 2021 ( 4 ): 1 - 7 .
DU X L , TAO F , FAN Z Y , et al . Nonlinear Combined Prediction Method for Backbone Network Traffic [J ] . Small Microcomputer System , 2021 ( 4 ): 1 - 7 .
刘振鹏 , 张庆文 , 李明 , 等 . 基于蚁群优化算法的 SDN 路由策略 [J ] . 昆明理工大学学报(自然科学版) , 2022 , 47 ( 3 ): 60 - 66 .
LIU Z P , ZHANG Q W , LI M , et al . SDN routing strategy based on ant colony optimization algorithm [J ] . Journal of Kunming University of science and Technology (Natural Science edition) , 2022 , 47 ( 3 ): 60 - 66 .
宋永辉 . 认知无线网络中基于人工智能算法的流量预测和数据传输机制研究 [D ] . 重庆:重庆邮电大学 , 2017 .
SONG Y H . Research on mechanism of traffic prediction and data transmission based on artificial intelligence algorithm in cognitive wireless network [D ] . Chongqing:Chongqing University of Posts and Telecommunications , 2017 .
汪尧 , 黄宁 , 武润升 , 等 . 基于改进自回归差分移动平均模型的网络流量预测 [J ] . 通信技术 , 2021 , 54 ( 12 ): 2626 - 2631 .
WANG Y , HUANG N , WU R S , et al . An improved autoregressive integrated moving average model for network traffic prediction [J ] . Communications Technology , 2021 , 54 ( 12 ): 2626 - 2631 .
刘庆杰 , 王小英 , 王茂发 . 基于BP算法和ACO算法的故障诊断推理研究 [J ] . 计算机测量与控制 , 2012 , 20 ( 6 ): 1460 - 1462 , 1466 .
LIU Q J , WANG X Y , WANG M F . Research on reasoning for fault diagnosis based on BP and ACO algorisms [J ] . Computer Measurement & Control , 2012 , 20 ( 6 ): 1460 - 1462 , 1466 .
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