DocumentCode :
2961723
Title :
Fault diagnosis based on evidences screening in virtual network
Author :
Hao Wang ; Ying Wang ; Xuesong Qiu ; Wenjing Li ; Ailing Xiao
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2015
fDate :
11-15 May 2015
Firstpage :
802
Lastpage :
805
Abstract :
Network virtualization has been regarded as a core attribute of Future Internet. To improve the quality of virtual network, it is important to diagnose the faulty components quickly and accurately. Recently more and more researches focus on end-user fault diagnosis, which can fit incomplete knowledge and dynamic challenges. In this paper, we present a fault diagnosis system called DiaEO in virtual network. It improves the present end-user fault diagnosis methods by screening evidences before analyzing to reduce the time-consuming. Besides that, DiaEO also improves the anti-noise ability of the system. The simulation results show that the proposed method can keep high accuracy and ameliorate time performance.
Keywords :
Internet; fault diagnosis; inference mechanisms; DiaEO; Internet; end-user fault diagnosis methods; evidence screening; network virtualization environment; Accuracy; Fault diagnosis; Monitoring; Network topology; Nickel; Noise measurement; Probes; Dempster-Shafer theory; Fault diagnosis; Virtual network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on
Conference_Location :
Ottawa, ON
Type :
conf
DOI :
10.1109/INM.2015.7140380
Filename :
7140380
Link To Document :
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