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复杂光纤网络数据线性均衡调度方法设计

Design of data linear equilibrium scheduling method for complex optical fiber networks
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摘要 为了解决因数据传输量过大而造成的网络传输拥堵的问题,提高数据调度效率,提出一种复杂光纤网络数据线性均衡调度方法。构建复杂光纤网络信道框架模型,分析数据分布形态,研究网络中传输干扰项及影响数据传输失衡的主要原因,计算碰撞冲突的距离估计特征向量,调节碰撞光波传播方向,重构数据分布和光波信号传输位置,利用多路加载机制,提取数据信息流平均互信息特征,计算传输数据的波谱聚焦输出,通过对信号比特信息流实行自适应线性均衡控制调度。经过实验分析证明,所提方法对网络资源利用率高,调度耗能小,能够有效地平衡网络的负载,调度效率较高,数据传输时延较小,整体性能良好。 In order to solve the problem of network transmission congestion caused by excessive data transmission and improve the efficiency of data scheduling,this paper proposes a linear equilibrium scheduling method for complex optical fiber network data.The channel framework model of complex optical fiber network is constructed,the data distribution pattern is analyzed,the transmission interference items in the network and the main causes affecting the data transmission imbalance are studied,the distance estimation eigenvector of collision collision is calculated,and the propagation direction of collision light wave is adjusted,Reconstruct the data distribution and optical signal transmission position,extract the average mutual information characteristics of the data information flow by using the multi-channel loading mechanism,calculate the spectral focusing output of the transmitted data,and implement the adaptive linear equalization control scheduling for the signal bit information flow.The experimental analysis shows that the proposed method has high utilization of network resources,low scheduling energy consumption,can effectively balance the network load,high scheduling efficiency,small data transmission delay and good overall performance.
作者 付立东 陈若玉 李丹 FU Lidong;CHEN Ruoyu;LI Dan(Computer technology and science,Southwest University of Science and Technology,Xian 710054,China)
出处 《激光杂志》 CAS 北大核心 2023年第7期194-198,共5页 Laser Journal
基金 国家自然科学基金项目(No.61772394) 陕西省自然科学基础研究计划项目(No.2020JM-526、2020JM-533)。
关键词 光纤网络 线性均衡 数据调度 网络传输信道 线性均衡调度 optical fiber network linear equilibrium data scheduling network transmission channel linear equilibrium scheduling
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