云计算中网络节点流量输出效率预测研究

Prediction of Output Efficiency of Network Nodes in Cloud Computing

对云计算中网络节点的流量输出效率进行预测,能够有效提高网络流量输出率的速度。对网络节点流量输出的预测,需要转化流量输出率的状态矩阵,用适应度函数预测,完成网络节点流量输出率的预测。传统方法首先权衡不同节点流行度分布,把数据存储于有益节点中,但忽略了用适应度函数预测,导致预测效果不理想。提出云计算中网络节点流量输出效率预测方法。将网络节点的特征属性参数划分得到特征向量中心性,分析特征向量,计算其数学表达式,转化流量输出效率的状态矩阵,用适应度函数预测。实验结果表明,所提方法提高了网络节点流量输出效率预测的速度。

This paper presents a prediction method for output efficiency of network node flux based on cloud computing. Firstly, this method divided feature attribute parameter of network node to obtain feature vector centrality, and then analyzed feature vector and calculated its mathematical expression. Finally, this method transformed state matrix of flow output efficiency and predicted the flow output efficiency with fitness function. Simulation results demonstrate that the method in this paper improves prediction speed of output efficiency of network node flux.