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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 speed of high-speed optical fiber communication data transmission, to ensure the stability of optical fiber network communication data throughput. This paper designs a big data reasonable scheduling model, takes the minimum packet loss rate as the goal and introduces the contribution idea in the incentive mechanism to design a big data reasonable scheduling model in optical fiber communication data transmission. The topology of high-speed optical fiber communication network is given and the parameters are set. Followed by the simulation of round-trip delay, the average transmission rate analysis and throughput stability analysis experiments, analysis of experimental results are as follows: The use of this model for scheduling big data, the two routes roundtrip delay closer to , The delay difference between the data transmitted through different paths to the receiving end is small, the data transmission rate after data scheduling is lower than the single transmission rate, and the model has good adaptability to the change of bandwidth. The throughput of this model Quantitative stability and scheduling rotation model.