大规模IPv6骨干网拓扑发现研究与实现  

Research and realization on large scale IPv6 backbone network topology discovery

作　　者：潘元勇[1,2] 李润知[2] 王宗敏[2] 

机构地区：[1]郑州大学信息工程学院 [2]郑州大学省高校信息网络重点学科开放实验室,郑州450052

出　　处：《计算机应用研究》2009年第12期4659-4661,共3页Application Research of Computers

基　　金：国家"863"计划资助项目(2008AA01A315)

摘　　要：针对目前在大规模IPv6骨干网拓扑发现中普遍存在效率低、无法保证覆盖率的问题,提出一种基于ICMPv6(Internet controlmessages protocol version 6)的自学习选取探测目标点的网络拓扑发现方案,并采用IPv6Source Routing机制解决网络拓扑发现中存在的cross-link问题和路由器多址问题,最后通过对全球IPv6骨干网和国内CERNET2骨干网拓扑发现证明,该方案在保证高覆盖率的前提下,大大提高了拓扑发现效率。In view of the fact that there always exist problems in the present large scale discovery of IPv6 backbone network topology such as low efficiency and short of coverage rate, this paper brought forward a network topology discovery scheme on choosing the probing target by self-learning, which was based on ICMPv6. By virtue of IPv6 source routing mechanism, also solved cross-link problem and the multiple access router problem both of which often exist in the present topology discovery. Finally, it was proved through the experiment on the topology discovery for the IPv6 backbone network around the world and the national backbone network that the scheme presented largely enhances the discovery efficiency while also ensuring a high coverage rate at the same time.

关 键 词：探测目标点 自学习 源路由 中间链路 路由器多址 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]