基于集对分析的网络流量大数据均衡调度方法

为了有效降低网络流量传输时的网络负载,基于集对分析策略,提出DNS网络流量大数据均衡调度方法。设计Dramp流量路由控制方法,根据链路权值量化,提出优化函数,实现多路径网络流量的传输,在静态域名解析(DNS)的环境下,重新构建网络链路,设计了一个包括网络流量负载信息和网络信息实体输入信息,且序列一体的传输链路,用于配合路由控制,最后基于集对分析思想,根据定向控制器分析信息,保证路由和链路的匹配,实现网络流量的均衡调度。实验数据表明,与传统方法相比,设计的DNS网络流量大数据均衡调度方法,网络时延降低了21%,丢包率降低了27%,可以有效降低网络负载。

Big data equalization scheduling method of network traffic based on set pair analysis

In order to effectively reduce the network load during network traffic transmission,a DNS network traffic big data balancing scheduling method was proposed based on set pair analysis strategy.Design dramp flow routing control method,according to the link weights of quantitative,the optimization function is putforward,multipath transmission network traffic is realized.In the static domain name resolution(DNS) of the environment,A transmission link is designed,which includes network traffic load information and network information entity input information,and is used to cooperate with routing control.Finally,based on the idea of set pair analysis,according to the analysis information of the directional controller,the matching of the route and the link is ensured,and the balanced scheduling of the network traffic is realized.The experimental data show that compared with traditional methods,The designed DNS network traffic big data balance scheduling method can effectively reduce network load by reducing network delay by 21% and packet loss rate by 27%.