Fault diagnosis based on dial-test data in datacenter networks

作     者：QI Xiaogang WANG Bingchun LIU Lifang 

作者机构：School of Mathematics and StatisticsXidian UniversityXi’an 710071China School of Computer Science and TechnologyXidian UniversityXi’an 710071China Xidian-Ningbo Information Technology InstituteNingbo 315200China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2019年第30卷第5期

页      面：1035-1043页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(61877067 61572435) the joint fund project of the Ministry of Education–the China Mobile(MCM20170103) Xi’an Science and Technology Innovation Project(201805029YD7CG13-6) Ningbo Natural Science Foundation(2016A610035 2017A610119) 

主　　题：datacenter network node failure proactive fault diagnosis 

摘      要：The fast growth of datacenter networks,in terms of both scale and structural complexity,has led to an increase of network failure and hence brings new challenges to network management *** network failure such as node failure is inevitable,how to find fault detection and diagnosis approaches that can effectively restore the network communication function and reduce the loss due to failure has been recognized as an important research problem in both academia and *** research focuses on exploring issues of node failure,and presents a proactive fault diagnosis algorithm called heuristic breadth-first detection(HBFD),through dynamically searching the spanning tree,analyzing the dial-test data and choosing a reasonable threshold to locate fault *** theoretical analysis and simulation results demonstrate that HBFD can diagnose node failures effectively,and take a smaller number of detection and a lower false rate without sacrificing accuracy.