Congestion Link Identification under Multipath Routing for Single-source Networks
Pan Sheng-li① Yang Xi-ru② Zhang Zhi-yong① Qian Feng① Hu Guang-min①
①(School of Communication and Information Engineering, University of Electronic Science and Technology of China,
Chengdu 611731, China) ②(Guangan Branch, Sichuan Co., Ltd, China Mobile Group, Guang’an 638000, China)
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.
潘胜利,杨析儒,张志勇,钱峰,胡光岷. 单源多径路由网络拥塞链路识别[J]. 电子与信息学报, 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. JEIT, 2015, 37(9): 2232-2237.
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