多端口选择环境下的改进VPN网络通信优化仿真  

Many Port Selection VPN Network Communication Optimization Simulation Environment Improvement

作　　者：蒲斌[1] 

机构地区：[1]西华师范大学计算机学院,四川南充637009

出　　处：《计算机仿真》2014年第9期233-236,246,共5页Computer Simulation

摘　　要：VPN在工作过程中,总线数据需要选择对应的端口进行通信,存在数据的多端口选择过程,一旦数据选择非最优端口,校验程序会提示出现通信错误,需要重新进行通信端口选择,以完成通信。传统的方法在进行端口重新选择时,需要在疑似正确端口中,进行车轮式端口试错,以找到最优通信端口,虽然加入了端口选择约束条件,但是一旦网络端口过多,端口选择过程相当复杂,导致网络通信效率下降。为此提出基于马尔科夫链算法的改进虚拟专用网络通信优化方法。根据支持向量机原理,对虚拟专用网络中的大量端口进行分区,将端口数据特征建立马尔科夫链模型,用低优先级业务组重传的均值代替初始通信特征值,以保证快速找到最优端口,降低通信时间。实验结果表明,利用改进算法进行多端口选择环境下的改进VPN网络通信优化处理,能够极大的提高通信的效率,降低通信的误码率。Differs from the traditional network, VPN network in the process of work, the bus data need to select the corresponding port for communication, there are data port selection process, once the data chose the optimal port, check the program will prompt communication mistakes, need to select the communication port, to accomplish the communication. Traditional methods for port to choose, need in suspected correct port, port for wheel type trial and error, in order to find the optimal communication port, although joined the constraints of port selection, but once the network port is overmuch, port selection process is very complex, resulting in a decline in the efficiency of network communication. Based on markov chain algorithm improved virtual private network communication optimization meth- od. According to the principle of support vector machine （ SV＇M）, to a large number of ports in virtual private network partition, the port data characteristics of the markov chain model is set up, with a low priority business group retrans- mission characteristic values of average instead of initial communication to ensure that quickly find the optimal port, reduce the communication time. Experimental results show that the improved algorithm is more port selection condi- tions optimization, improvement of VPN network communication can greatly improve the efficiency of the communication, reduce the bit error rate of communication.

关 键 词：多端口选择 虚拟专用网络 通信 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]