基于反馈校验的网络流量均衡技术研究
发布时间：2019-03-06 11:54
【摘要】：对网络流量进行均衡处理,防止网络数据通信过程中产生数据波动,提高网络通信的稳定性,传统的网络流量均衡技术采用自适应信道均衡方法,算法对网络流量的初始频率具有较大的依赖性。提出一种基于反馈校验的网络流量均衡技术。构建网络流量时间序列分析模型,采用决策树模型方法对网络流量均衡信道进行模型构建,对网络流量中的波动振荡数据进行反馈校验,以流量自适应特征的度评价流量的波动振幅,消除波动特征,实现流量均衡。仿真结果表明,采用该算法具有较好的网络流量数据波动抑制性能,收敛性较好,保证了网络流量数据的稳定性通信传输。
[Abstract]:Network traffic is equalized to prevent data fluctuation in the process of network data communication and to improve the stability of network communication. The traditional network traffic equalization technology adopts adaptive channel equalization method. The algorithm depends heavily on the initial frequency of network traffic. A network traffic balancing technique based on feedback check is proposed. The network traffic time series analysis model is constructed, the decision tree model is used to model the network traffic equilibrium channel, and the fluctuation oscillation data in the network traffic is verified by feedback. The degree of adaptive flow characteristics is used to evaluate the fluctuation amplitude of the flow, eliminate the fluctuation characteristics and realize the flow balance. The simulation results show that the proposed algorithm has better performance of restraining the fluctuation of network traffic data and better convergence, which ensures the stability of communication transmission of network traffic data.
【作者单位】： 深圳信息职业技术学院计算机学院;深圳信息职业技术学院软件学院;
【分类号】：TP393.06
本文编号：2435501
[Abstract]:Network traffic is equalized to prevent data fluctuation in the process of network data communication and to improve the stability of network communication. The traditional network traffic equalization technology adopts adaptive channel equalization method. The algorithm depends heavily on the initial frequency of network traffic. A network traffic balancing technique based on feedback check is proposed. The network traffic time series analysis model is constructed, the decision tree model is used to model the network traffic equilibrium channel, and the fluctuation oscillation data in the network traffic is verified by feedback. The degree of adaptive flow characteristics is used to evaluate the fluctuation amplitude of the flow, eliminate the fluctuation characteristics and realize the flow balance. The simulation results show that the proposed algorithm has better performance of restraining the fluctuation of network traffic data and better convergence, which ensures the stability of communication transmission of network traffic data.
【作者单位】： 深圳信息职业技术学院计算机学院;深圳信息职业技术学院软件学院;
【分类号】：TP393.06
【相似文献】
相关期刊论文 前1条
1 马惠元;卫星指令控制系统中的信息反馈校验监督[J];中国空间科学技术;1988年01期
，本文编号：2435501
本文链接：https://www.wllwen.com/guanlilunwen/ydhl/2435501.html
