Communication Network Fault Diagnosis for Scheduling Optimization of Big Data Platform
In view of the time delay of communication network fault diagnosis,a communication network fault identification sys-tem is proposed.The optimized combination of digital simulation technology and GAN algorithm is used to analyze the real-time network fault conditions in the system.The digital simulation technology is used to store the real physical data interactively,and the communication network data are virtualized data modeling.The obtained network operation data are analyzed and pro-cessed using the generative adversarial network(GAN)algorithm,so as to achieve the purpose of network fault identification.The experimental results indicate that the accuracy of the data detected through this system technology is over 90％,indicating the correctness of this study in identifying communication network faults.
digital analog technologyGAN algorithmdata modelingfault identification
万方数据
维普
