Research Article
Research on Modeling and Evaluation of Topology Reliability of Smart Campus Network Based on Cloud Computing
@INPROCEEDINGS{10.1007/978-3-031-50571-3_29, author={Qiangjun Liu and Ningning Wang}, title={Research on Modeling and Evaluation of Topology Reliability of Smart Campus Network Based on Cloud Computing}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2024}, month={2}, keywords={Cloud Computing Smart Campus Network Topology Node Anomaly Detection Reliability Modeling Evaluation}, doi={10.1007/978-3-031-50571-3_29} }- Qiangjun Liu
Ningning Wang
Year: 2024
Research on Modeling and Evaluation of Topology Reliability of Smart Campus Network Based on Cloud Computing
ICMTEL
Springer
DOI: 10.1007/978-3-031-50571-3_29
Abstract
In order to further optimize the security and reliability of smart campus network, this paper designs a reliability modeling and evaluation method of smart campus network topology based on cloud computing. Implement the topological structure modeling of smart campus network through OPNET software. Based on cloud computing, node anomaly detection in the topology model of smart campus network is realized. Abnormal nodes include single node detection and associated node detection. Fuzzy comprehensive evaluation method is used to evaluate the reliability of intelligent campus network topology. The performance and effect of this method are tested. The test results show that the evaluation accuracy of this method is generally high, and the evaluation accuracy can reach 98.65%. The overall evaluation time of the method is less than 1000 s.
