列举as级Internet拓扑图中的单目的、策略优先路径

M. E. Tozal
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引用次数: 5

摘要

使用as级Internet拓扑映射来确定准确的as级路径对于网络诊断、性能优化、可靠性改进、弹性增强和拓扑感知应用程序开发至关重要。我们在许多研究中观察到的一个重大缺点是将Internet的as级拓扑图简化为无向图,然后使用跳距离作为查找as之间最短路径的方法。一个不太明显的缺点是将最短路径限制为只有无谷路径。这两种方法通常都会增加ase之间的路径数量;引入不符合经济政策的错误路径;生成对称路径,这在现实中不是规则。因此,得出的结论可能具有很大的误导性。在本研究中,我们引入了一种单目标策略优先路径枚举算法,该算法可以在AS级Internet拓扑图中发现从所有AS到目标AS的策略一致路径。考虑到我们的算法的运行时复杂度与Dijkstra的最短路径算法相同,我们相信所提出的算法将显著增强利用as级互联网拓扑路径的未来工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enumerating single destination, policy-preferred paths in AS-level Internet topology maps
Using AS-level Internet topology maps to determine accurate AS-level paths is essential for network diagnosis, performance optimization, reliability improvement, resiliency enforcement and topology-aware application development. One significant drawback that we have observed in many studies is simplifying the AS-level topology map of the Internet to an undirected graph, and then using the hop distance as a means to find the shortest paths between ASes. A less significant drawback is restricting the shortest paths to only valley-free paths. Both approaches usually inflate the number of paths between ASes; introduce erroneous paths that do not conform to economic policies; and generate symmetric paths, which in reality is not a rule. As a result, the derived conclusions might be greatly misleading. In this study we introduce a single-destination, policy-preferred path enumeration algorithm which discovers policy consistent paths from all ASes to a destination AS in an AS-level Internet topology graph. Considering that our algorithm's run time complexity is the same as Dijkstra's shortest paths algorithm, we believe that the proposed algorithm will notably enhance the future works that leverage AS-level Internet topology paths.
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