基于免疫危险理论DCA算法的P2p网络流量分析研究  

Analysis and Research on P2p Web Traffic Based on DCA of Danger Theory

作　　者：余剑[1] YU Jian（Department of Electronic and Information Engineering,Liuzhou Vocational ＆ Technical College,Liuzhou 545006,China）

机构地区：[1]柳州职业技术学院,电子信息工程系,广西柳州545006

出　　处：《电脑知识与技术》2012年第5期3047-3049,共3页Computer Knowledge and Technology

摘　　要：P2P网络中应用层流量优化的关键问题是客户端能够在一开始就获得一个优化的节点列表,从而能减少网络开销和不必要的跨域的流量。该文利用人工免疫危险理论模型对P2p应用层流量建立分析模型,并通过仿真实验,结果表明,采用危险理论算法改进的应用层流量优化的服务可以向应用提供非随机的节点选择,从而提高带宽资源,降低跨域的流量和节点开销,并且该算法能应用在农业水文监测中。The key problem on Application Layer Traffic Optimization in the P2p network is how the clients can get an optimization of the node list,which can reduce network overhead and unnecessary cross domain traffic.This paper presents anapplication layer trafficanaly sis model based artificial immune danger theory,and theexperiment results show that application layer traffic optimization services based on danger theory algorithm can geta non-random node selection,thereby improving bandwidth resource,reduce the cross domain flow and node overhead,and this algorithm can be applied in hydrologic monitoring of agriculture.

关 键 词：P2P 危险理论 DCA 应用层流量 

分 类 号：TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]