基于排队论的级联交换机网络传输延迟分析
发布时间：2018-10-14 17:17
【摘要】：针对车载信息系统中,级联交换机网络的数据包传输延迟时间计算缺乏形式化的建模和计算方法,为了分析跨交换机的数据传输对节点间数据传输延迟的影响,将级联交换机等效为排队系统,并在此基础上提出了一种级联M/M/1排队模型,该模型针对级联交换机网络,对传输负载和交换机服务率取不同比值时的数据包延迟时间进行分析,求出定性和定量解。仿真实验结果表明,当网络负载较重时数据包在第二个交换机中的延迟时间不会显著增加,其结果可以有效地支撑车载信息网络的开发。
[Abstract]:In view of the lack of formal modeling and calculation method for packet transmission delay calculation in cascaded switch networks in vehicle-borne information systems, the effect of data transmission across switches on data transmission delays between nodes is analyzed. The cascade switch is equivalent to a queueing system, and on this basis, a cascade M/1 queuing model is proposed. The model analyzes the packet delay time when the transmission load and the switch service ratio are taken at different ratios for the cascaded switch network. The qualitative and quantitative solutions are obtained. The simulation results show that the delay time of packet in the second switch is not significantly increased when the network load is heavy, and the result can effectively support the development of on-board information network.
【作者单位】： 西北工业大学计算机学院;西安工业大学电子信息工程学院;中航工业计算所第15研究室;
【基金】：航空科学基金(2014ZC31)资助
【分类号】：TN915.05;U463.6
，
本文编号：2271100
[Abstract]:In view of the lack of formal modeling and calculation method for packet transmission delay calculation in cascaded switch networks in vehicle-borne information systems, the effect of data transmission across switches on data transmission delays between nodes is analyzed. The cascade switch is equivalent to a queueing system, and on this basis, a cascade M/1 queuing model is proposed. The model analyzes the packet delay time when the transmission load and the switch service ratio are taken at different ratios for the cascaded switch network. The qualitative and quantitative solutions are obtained. The simulation results show that the delay time of packet in the second switch is not significantly increased when the network load is heavy, and the result can effectively support the development of on-board information network.
【作者单位】： 西北工业大学计算机学院;西安工业大学电子信息工程学院;中航工业计算所第15研究室;
【基金】：航空科学基金(2014ZC31)资助
【分类号】：TN915.05;U463.6
，
本文编号：2271100
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