摘要
为了对网络业务流和网络性能进行测量与分析 ,我们根据 CAINONET的业务流设计课题实现了一个业务流设计的原型系统 - - - -业务流测量分析系统 TMAS.在 TMAS的分析子系统中 ,我们实现了业务级的分析方法 ,即具有路径约束的关联规则算法 PRAR和具有时态路径约束的关联规则算法 TPRAR.本文中我们先举了一个这两种算法的应用例子 ,再给出了这两种算法在 TMAS系统中的实际运行结果 .实际运行显示 ,这两种业务级分析方法可以弥补已有分析方法的不足 。
For measurement and analysis network traffic and network performance, we implement a prototype system based on the task of traffic engineering in CAINONET. The prototype system is traffic measurement and analysis system (TMAS). In the analysis subsystem of TMAS, we implement traffic based analysis methods. The methods are the path restraint association rules algorithmic (PRAR) and the time and path restraint association rules algorithmic (TPRAR). In this paper, first we give an example of the two algorithmic. Second we present the running results of the two algorithmic in TMAS. The running results present that these traffic based analysis methods can fetch up the shortages of existed methods and can provide available gist for network traffic control.
出处
《小型微型计算机系统》
CSCD
北大核心
2002年第1期70-73,共4页
Journal of Chinese Computer Systems
基金
国家 8 63项目资金资助
项目编号 863 -3 0 0 -0 2 -0 7-99
关键词
计算机网络
网络业务流分析方法
关联规则
traffic analysis
TMAS system
path restraint association rules
time and path restraint association rules
