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arXiv · 1501.04692

Reflective Network Tomography Based on Compressed Sensing

Kensuke Nakanishi·Shinsuke Hara·Takahiro Matsuda·Kenichi Takizawa·Fumie Ono·Ryu Miura
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Abstract

Network tomography means to estimate internal link states from end-to-end path measurements. In conventional network tomography, to make packets transmissively penetrate a network, a cooperation between transmitter and receiver nodes is required, which are located at different places in the network. In this paper, we propose a reflective network tomography, which can totally avoid such a cooperation, since a single transceiver node transmits packets and receives them after traversing back from the network. Furthermore, we are interested in identification of a limited number of bottleneck links, so we naturally introduce compressed sensing technique into it. Allowing two kinds of paths such as (fully) loopy path and folded path, we propose a computationally-efficient algorithm for constructing reflective paths for a given network. In the performance evaluation by computer simulation, we confirm the effectiveness of the proposed reflective network tomography scheme.

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Kensuke Nakanishi, Shinsuke Hara, Takahiro Matsuda, Kenichi Takizawa, Fumie Ono, Ryu Miura. 2015-01-20. Reflective Network Tomography Based on Compressed Sensing. https://arxiv.org/abs/1501.04692

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