Visual Feature Extraction for Classification of Packet-Sequence Dispersion Signatures and Identification of Bottleneck Parameters

M. Tunnicliffe, M. Hosseinpour
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引用次数: 1

Abstract

As an alternative to pdf approximation methods to identify modes within the dispersion data of a packet-pair network probing experiment, the classical Hough transform is used to identify straight lines within the output vs. input dispersion plot. These lines can then be mapped to the independence, rate, and distribution signatures of the different links within that path.
基于视觉特征提取的分组序列色散特征分类与瓶颈参数识别
作为一种替代pdf逼近方法来识别包对网络探测实验色散数据中的模式,经典的霍夫变换用于识别输出与输入色散图中的直线。然后可以将这些行映射到该路径中不同链接的独立性、速率和分布签名。
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