Abstract
Optical communication networks carry people’s communication services. As the structure of communication networks becomes more complex, and the volume of services is growing. It is greater to ensure that the network is functioning properly. Therefore, people are deeply concerned about the maintenance of communication networks. The nodes in the network are an important component of the network. Therefore, it is necessary to conduct the risk analysis on nodes and perform intelligent maintenance based on the results. The normal operation of nodes in a communication network is influenced by many aspects. In order to access the risk of nodes, the risk analysis algorithm proposed in this paper considers network topology, service type, maintenance, environmental factors and the load of the node. Then intelligent maintenance is performed based on the results of the node’s risk analysis, and the edge computing server is introduced to perform the risk analysis on the node in time. So as to improve the timeliness of updating information. According to the results of simulation, maintenance personnel can get more accurate information about the nodes or aspects that need to be maintained, and because of the use of edge computing structures, the method has become more efficient.
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Acknowledgment
The work is supported by State Grid ICT Industry Group ICT Research Institute “2019 Standardization Research Innovation Seed Fund Project”, the National Natural Science Foundation of China (61302078), the 863 Program (2011AA01A102).
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Ma, Y., Jiao, Y., Liu, Y., Qin, H., Rui, L., Yang, S. (2019). Improve the Efficiency of Maintenance for Optical Communication Network: The Multi-factor Risk Analysis via Edge Computing. In: Ning, H. (eds) Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health. CyberDI CyberLife 2019 2019. Communications in Computer and Information Science, vol 1138. Springer, Singapore. https://doi.org/10.1007/978-981-15-1925-3_9
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DOI: https://doi.org/10.1007/978-981-15-1925-3_9
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