计算机应用研究
計算機應用研究
계산궤응용연구
APPLICATION RESEARCH OF COMPUTERS
2009年
12期
4659-4661
,共3页
探测目标点%自学习%源路由%中间链路%路由器多址
探測目標點%自學習%源路由%中間鏈路%路由器多阯
탐측목표점%자학습%원로유%중간련로%로유기다지
probing target%self-learning%source routing%cross-link%multiple access router
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 control messages 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IPv6 Source 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.
針對目前在大規模IPv6骨榦網拓撲髮現中普遍存在效率低、無法保證覆蓋率的問題,提齣一種基于ICMPv6(Internet control messages protocol version 6) 的自學習選取探測目標點的網絡拓撲髮現方案,併採用IPv6 Source Routing機製解決網絡拓撲髮現中存在的cross-link問題和路由器多阯問題,最後通過對全毬IPv6骨榦網和國內CERNET2骨榦網拓撲髮現證明,該方案在保證高覆蓋率的前提下,大大提高瞭拓撲髮現效率.
침대목전재대규모IPv6골간망탁복발현중보편존재효솔저、무법보증복개솔적문제,제출일충기우ICMPv6(Internet control messages protocol version 6) 적자학습선취탐측목표점적망락탁복발현방안,병채용IPv6 Source Routing궤제해결망락탁복발현중존재적cross-link문제화로유기다지문제,최후통과대전구IPv6골간망화국내CERNET2골간망탁복발현증명,해방안재보증고복개솔적전제하,대대제고료탁복발현효솔.
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.