基于加权一阶局域法的公共拥塞检测方法  

A Shared Congestion Detection Technique Based on Weighted First Order Local-Region Method

作　　者：张清源[1] 潘理[1] 訾小超[2] 

机构地区：[1]上海交通大学电子信息与电气工程学院,上海200240 [2]上海市信息安全综合管理技术研究重点实验室,上海200240

出　　处：《上海交通大学学报》2010年第2期287-291,296,共6页Journal of Shanghai Jiaotong University

基　　金：国家高技术研究发展计划(863)项目(2007AA01Z457);国家自然科学基金资助项目(60903191)

摘　　要：利用拥塞环境下网络业务流的混沌特性,提出了一种基于加权一阶局域法的公共拥塞检测方法.采用混沌信号处理方法对延时采样序列进行分析,能够迅速地判断出2个流是否通过了同一段拥塞链路.仿真结果表明,在长TCP(Transmission Control Protocol)流,短TCP流,UDP(Us-er Datagram Protocol)流3种网络环境下,该方法具有比相关方法更好的性能,对于开发协同拥塞控制算法以及智能重叠网络的构建都有良好的应用前景.The chaos characteristic of traffic flows in the congested network environment was utilized to develop a novel shared congestion detection method based on a weighted first order local-region arithmetic. In this method, the end-to-end sample delay series of network flows are analyzed by the chaos signal process technique to quickly detect whether the network flows pass the common congestion links. The simulation results show that this method has better performance than other related methods in the network environments with long TCP, short TCP, and UDP background flows respectively. The utilization of this technique is very promising in the cooperation congestion control in peer-to-peer networks and the topology construction of intelligent overlay networks.

关 键 词：混沌预测 加权一阶局域法 公共拥塞检测 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]