流量抽样关键技术研究  

Research on Key Technology of Network Flow Sampling Samplinglndirect Computing Model with Indirect Formal Method

作　　者：高维国[1] 

机构地区：[1]北京邮电大学网络与交换国家重点实验室,北京100876

出　　处：《软件》2012年第12期252-256,共5页Software

摘　　要：网络管理和监控是网管系统和流量工程的重要组成部分。随着网络的高速发展,实时有效的流量抽样技术对网管系统和网络监控系统越来越重要。传统的网络流量测量是对链路上通过的所有报文进行都捕获和统计的方式进行的。随着网络技术的发展,传统的流量测量方法会对测量设备产生很大的开销,因而变得不再实用。为了解决上述问题文章对现有网络流量监测技术进行研究,首先对流量测量方法和流特征进行介绍,然后介绍了现有抽样技术的种类以及现有抽样技术的研究现状,最后介绍了三种具体的自适应抽样技术。Traffic measurement and monitoring are an important component of network management and traffic engineering. With high-speed Internet backbone links, efficient and effective packet sampling techniques for traffic measurement and monitoring are not only desirable, but also increasingly becoming a necessity. Since the utility of sampling depends on the accuracy and economy of measurement, it is important to control sampling error. In this paper, the existing network traffic monitoring technology and related the research status of sampling techniques are introduced, finally three specific adaptive sampling techniques are proposed in detail.

关 键 词：计算机网络 网络测量 流量抽样 静态抽样 自适应抽样 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]