网络拓扑的建设在以网络平台为依托的研究领域发挥着重要的作用,是相关研究得以展开的基础.将目前流行的两种网络拓扑生成算法——正向反馈优先和热模型算法,与时下最强大网络仿真工具OPNET相结合,给出了一种OPNET平台上基于EMA的、规模可控的、仿真度较高的网络拓扑自动化建模方法.实验结果表明,该方法能够更好地模拟真实网络拓扑环境,达到网络仿真的规模要求,满足相关领域的研究需要.
The network topology generation plays an important role in those researches that rely on the network platform. It's the basis for outspreading researches. PFP and hot model, two popular network topology generation algorithms, are introduced. The algorithms are combined with the most powerful network simulation platform, the OPNET. A large scale and high simulation network topology automatic modeling method based on ARM is given. Experimental result shows that the network topology generated by the method can simulate the real network topology environment better, and meet the scale requirement of network simulation and correlative researches.