溶滞网络缓冲区占用率预测模型设计

Design of Buffer Occupancy Rate Prediction Model for Dissolved Lag Network

溶滞网络中数据滞留较多,占用了缓冲区大部分内存。为此,构建基于多组件融合的溶滞网络缓冲区占用率预测模型。在多组件框架的基础上,求解数据样本融合条件。联合数据库主机内存储的信息样本,完成对可移植任务的配置,实现溶滞网络缓冲区内的数据样本处理。设置决策树组织,确定复杂度指标的取值范围,完成基于多组件融合的溶滞网络缓冲区占用率预测模型设计。对比试验结果表明,在多组件融合预测模型作用下,拥塞系数最大值仅为0.6、信道平均占用率始终不超过60%。该模型预测准确率较高。所构建模型预测溶滞网络缓冲区占用率的性能较优,具有一定的实际应用价值。

Data lagging is high in dissolved lag network and occupies most of the memory in the buffer.For this reason,a prediction model for buffer occupancy rate in dissolved lag network based on multi-component fusion is constructed.Based on the multi-component framework,the data sample fusion conditions are solved.By uniting the information samples stored in the database host,the configuration of portable tasks is completed to realize the processing of data samples in the buffer of the dissolved lag network.The decision tree organization is set up to determine the value range of the complexity index,so as to complete the design of the prediction model of the buffer occupancy rate of the dissolved lag network based on multi-component fusion.Comparison test results show that under the action of multi-component fusion prediction model,the maximum value of congestion coefficient is only 0.6,and the average channel occupancy rate never exceeds 60%.The model has high prediction accuracy.The performance of the constructed model in predicting the occupancy rate of the buffer of the dissolved lag network is superior,and it has certain practical application value.