Research Article
Fault Diagnosis Algorithm Based on Service Characteristics Under Software Defined Network Slicing
@INPROCEEDINGS{10.1007/978-3-030-73562-3_6, author={Wei Li and Hao Cai and Chunxia Jiang and Ping Xia and Song Jiang and Peng Lin}, title={Fault Diagnosis Algorithm Based on Service Characteristics Under Software Defined Network Slicing}, proceedings={Smart Grid and Innovative Frontiers in Telecommunications. 5th EAI International Conference, SmartGIFT 2020, Chicago, USA, December 12, 2020, Proceedings}, proceedings_a={SMARTGIFT}, year={2021}, month={7}, keywords={Software defined network Network slicing Fault diagnosis Network characteristics}, doi={10.1007/978-3-030-73562-3_6} }- Wei Li
Hao Cai
Chunxia Jiang
Ping Xia
Song Jiang
Peng Lin
Year: 2021
Fault Diagnosis Algorithm Based on Service Characteristics Under Software Defined Network Slicing
SMARTGIFT
Springer
DOI: 10.1007/978-3-030-73562-3_6
Abstract
In order to solve the problem of low accuracy of fault diagnosis algorithms brought by network dynamics, this paper proposes a fault diagnosis algorithm based on service characteristics under software defined network slicing. In order to reduce the problem of inaccurate symptom information caused by network dynamics, the credibility of symptoms is calculated based on the alternative probabilistic characteristics of network nodes, and the symptom information is corrected. The node importance is analyzed from the two dimensions of node centrality and number of links. Based on the node importance and symptom information, the reliability of the node failure is ranked. Finally, based on the maximum coverage algorithm, the optimal set of suspected faults is selected from the set of suspected faults as the final set of faults. The experiment compares the algorithm in this paper with the existing algorithm, and verifies that the algorithm in this paper effectively improves the accuracy of fault diagnosis.
