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作 者:LYU Xiaomeng CHEN Hao WU Zhenyu HAN Junhua GUO Huifeng
机构地区:[1]Engineering Research Center for Information Networks,Beijing Uni-versity of Posts and Telecommunications,Beijing 100876,China [2]ZTE Corporation,Shenzhen 518057,China
出 处:《ZTE Communications》2022年第3期77-84,共8页中兴通讯技术(英文版)
基 金:supported by ZTE Industry-University-Institute Cooperation Funds under Grant No.HC-CN-20201120009。
摘 要:A distributed information network with complex network structure always has a challenge of locating fault root causes.In this paper,we propose a novel root cause analysis(RCA)method by random walk on the weighted fault propagation graph.Different from other RCA methods,it mines effective features information related to root causes from offline alarms.Combined with the information,online alarms and graph relationship of network structure are used to construct a weighted graph.Thus,this approach does not require operational experience and can be widely applied in different distributed networks.The proposed method can be used in multiple fault location cases.The experiment results show the proposed approach achieves much better performance with 6%higher precision at least for root fault location,compared with three baseline methods.Besides,we explain how the optimal parameter’s value in the random walk algorithm influences RCA results.
关 键 词:distributed information network ALARM GRAPH root cause analysis random walk
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