摘要
网络规模的不断扩大及网络结构的复杂化,使得网络监测技术面临极大的挑战。通过对网络监测技术和智能体(IA)技术的研究,提出在跨平台语言Python的环境下,采用手动监测和自动监测2种方式的结合,实现基于IA的动态网络监测的方法。实验证明,该方法适用于不同的网络环境和网络拓扑结构,并能可靠地获取网络节点信息,有效地提高网络的可靠性。
With the expansion of network scale and the complexity of network construction, it is a big challenge to previous network monitoring technologies. After the analysis of network monitoring technology and Intelligent Agent（IA） technology, this paper proposes a method based on IA to complete dynamic network monitoring, including two modes： automatic and manual, developed by a cross-platform language, Python. Experimental result shows that the method can be used in various network environments and topologies, and it is reliable to collect node＇s information in network. It can improve the reliability of network.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第13期75-77,共3页
Computer Engineering
基金
电科院预研基金资助项目(513060401)
浙江省科技计划面上基金资助重点项目(2008C21092)
关键词
网络监测
智能体
PYTHON语言
network monitoring
Intelligent Agent（IA）
Python language
