高速光纤通信数据传输中的大数据合理调度模型设计

High-speed Optical Fiber Communication in data Transmission Large data Reasonable Scheduling Model Design

为了提升高速光纤通信数据传输的速率,保证光纤网络通信数据吞吐量的稳定性。设计一种大数据合理调度模型,将丢包率最小作为目标,引入激励机制中的贡献思想设计光纤通信数据传输中大数据合理调度模型。给出了高速光纤通信网络拓扑,并对参数进行设置。依次进行了往返时延的仿真分析、平均传输速率分析和吞吐量稳定性分析实验,分析实验结果得出的结论如下:采用本文模型对大数据进行调度时,两条路径的往返时延较为接近,通过不同路径对数据进行传输到达接收端的时延差较小,进行数据调度后数据传输的速率较单路传输速率更低,本文模型对带宽的变化具有很好的适应性;本文模型的吞吐量稳定性和于调度轮转模型。

in order to improve the efficiency of high-speed optical fiber communication data transmission,guarantee the stability of the network throughput,design a big data reasonable scheduling model. Treat minimum packet loss rate as a target,introduce ideas of incentive mechanism to design reasonable scheduling model in optical fiber communication data transmission.High-speed optical fiber communication network topology are presented,and is used to set the parameters,in turn,the round trip delay simulation analysis,the average transmission rate and throughput of the stability analysis of the experiment,the analysis of the experimental results concluded as follows： using this model to simulate the large data scheduling,round-trip delay of two paths is relatively close,time delay difference through different path for data transmission to the receiver is small; After using this model for data scheduling,data transmission efficiency is lower than single path transmission efficiency,this model has good adaptability to the change of bandwidth; The threuhput stability of proposed medel superior to scheduling cycle model.