基于转发标签最大匹配的组树匹配算法

Yanling Zhou, Youqin Zhu
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引用次数: 0

摘要

聚合组播是解决MPLS网络中缺少标签问题的主要方法。实现组播树的聚合必须有一个有效的组播组树匹配算法。组树匹配算法解决的问题是组播组能很好地匹配组播树。分析了现有的组播组树匹配算法,总结了现有算法的优缺点。同时,我们提出了一种新的组树匹配算法,即基于转发标签的最大匹配组树算法FT-GTA。该算法是在分析和总结前人群树匹配算法的基础上提出的。FT-GTA算法可以在节省网络带宽资源的前提下实现组播树合并。由于组播的动态性,FT-GTA算法可以快速更新转发表,从而提高网络的转发效率。最后,通过仿真验证了FT-GTA算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Group-Tree Matching Algorithm Based on Forwarding Tag Maximum Match
Aggregated multicast is the main method to solve the problem of lacking labels in MPLS network. Achieving the aggregation of multicast tree must have an effective multicast group-tree matching algorithm. Which problem of the group-tree matching algorithm solves is that the multicast group can match the multicast tree perfectly. We analyze the previous multicast group-tree matching algorithm, and summarize the strengths and the weaknesses of the previous algorithm. At the same time, we propose a new group-tree matching algorithm which is the maximum matching group-tree algorithm based on forwarding tag, here referred to as FT-GTA. It is proposed based on the analysis and the summary of the previous group-tree matching algorithm. The FT-GTA algorithm can realize the multicast trees merging in the presence of saving the network bandwidth resources. Due to the dynamic of Multicast, the FT-GTA algorithm can refresh the forwarding table quickly and consequently improves the forwarding efficiency in the network. Finally, we prove that the validity of the FT-GTA algorithm by simulation.
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