海量数据环境下大型ISP网络流量卸载方法研究  

The Large ISP Network Traffic Unloading Method in Huge Amounts of Data Environment

作　　者：滕翠[1] 梁川[1] 梁碧珍[1] 

机构地区：[1]百色学院信息工程学院,百色533000

出　　处：《科学技术与工程》2017年第13期44-48,共5页Science Technology and Engineering

基　　金：2015年广西高校科学技术研究项目(KY2015ZD118)资助

摘　　要：海量数据环境下大型ISP网络流量爆炸性增长造成网络阻塞。当前网络流量卸载方法通过预测确定待卸载网络流量,卸载准确率较低,服务质量差。为此,提出一种新的海量数据环境下大型ISP网络流量卸载方法,通过最大熵法,依据采集流量中的语义信息对流量类型进行识别。依据海量数据环境下大型ISP网络流量源节点的位置关系,通过图论法确定最佳传输路线,实现对大型ISP网络流量的卸载。依据中继节点数量与总卸载时间最少原则,通过Dijkstra方法对海量数据环境下大型ISP网络流量最佳卸载路线进行求解。实验结果表明,采用所提方法对大型ISP网络流量进行卸载,不仅流量类型识别精度高,而且卸载率高,服务质量高。Explosive growth of large ISP network traffic in massive data environment caused network congestion.The current network traffic unloading method to determine the network traffic to be unloaded,the accuracy rate is low,the service quality is poor. To this end,a new large scale ISP network traffic unloading method is proposed,which is based on the maximum entropy method. According to the location of the large ISP network traffic source node in massive data environment,the optimal transmission route is determined by the graph theory method,which can realize the unloading of large ISP network traffic. Based on the principle of minimum number of relay nodes and the minimum total discharge time,the optimal unloading route of large ISP network traffic in massive data environment is solved by Dijkstra method. The experimental results show that the proposed method is used to discharge the large ISP network traffic,which is not only of high accuracy,but also has high unloading rate and high service quality.

关 键 词：海量数据环境 大型 ISP 网络 流量卸载 

分 类 号：TP393.07[自动化与计算机技术—计算机应用技术]