Congestion Link Identification under Multipath Routing for Single-source Networks

Pan Sheng-li; Yang Xi-ru; Zhang Zhi-yong; Qian Feng; Hu Guang-min

doi:10.11999/JEIT150058

Volume 37 Issue 9

Sep. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(9): 2232-2237

Pan Sheng-li, Yang Xi-ru, Zhang Zhi-yong, Qian Feng, Hu Guang-min. Congestion Link Identification under Multipath Routing for Single-source Networks[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2232-2237. doi: 10.11999/JEIT150058

Citation:

Pan Sheng-li, Yang Xi-ru, Zhang Zhi-yong, Qian Feng, Hu Guang-min. Congestion Link Identification under Multipath Routing for Single-source Networks[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2232-2237. doi: 10.11999/JEIT150058

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Congestion Link Identification under Multipath Routing for Single-source Networks

doi: 10.11999/JEIT150058

1.
(School of Communication and Information Engineering, University of Electronic Science and Technology of China,
2.
(Guangan Branch, Sichuan Co., Ltd, China Mobile Group, Guang&rsquo

Received Date: 2015-01-12
Rev Recd Date: 2015-05-11
Publish Date: 2015-09-19

Abstract

Abstract

Regarding the uncertainty introduced by load balancing when determining which end-to-end path is measured and that the classical Boolean model is not well developed for the scenario of multiple congestion links, this paper bases on the identification of end-to-end probing paths and proposes an enlarged state space based congestion link identification algorithm. Firstly, the mapping relationship between the probing flows and the measured paths is obtained after performing adaptive clustering on the probing flows with their delay correlation measures. Secondly, with multiple thresholds, it is able to assign a path with a different congestion state according to its different loss rate levels. Lastly, the issue of the congestion link identification is modeled as a constrained optimization problem, and is solved with Enlarged State Space based Congestion Link Identification (ESSCLI) algorithm. The simulation results demonstrate that ESSCLI can achieve a better detection rate of the congestion link in various network scenarios compared with existing algorithms.
- Network measurement,
- Congestion link identification,
- Network tomography,
- Multipath routing,
- Optimization

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References(16)

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