基于多源端到端测量的路由拓扑识别

Guangli Tian, Wandong Cai
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引用次数: 3

摘要

本文主要研究多源、多目的网络层析成像问题。主要贡献如下。首先,将不同大小的背靠背数据包对测量的性能稳定时延差作为路径度量来识别拓扑;其次,本文提出了一种新的探测方法来推断每个1 × 2分量和每个2 × 1分量的共享路径跳数。第三,利用该方法,首先解决了多源网络层析成像识别路由拓扑的关键问题。仿真结果验证了该方法的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Routing Topology Identification Based on Multiple Sources End-to-End Measurements
This paper focuses on the multiple source, multiple destination network tomography problem. The main contributions are as follows. First, the performance stable delay difference measured by the back-to-back packet pair with different size is used firstly as path metrics to identify the topology. Second, this paper proposes a novel probing meathead to infer the hop count of the shared path for each 1-by-2 component and each 2-by-1 component. Third, with the novel methodology, we firstly resolve the key problem of routing topology identification by multiple sources network tomography. The accuracy and efficiency of methodology is validated by the simulation results.
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