Construction of Hidden Fault Channel Cloud Test Platform Based on Deep Learning

The resource scheduling ability of hidden fault channel cloud test platform based on cache data replacement method is not good. A hidden fault channel cloud test platform resource access algorithm based on deep learning is proposed. The resource access and data mining structure model of hidden fault channel cloud test platform is constructed, the task code is distributed to the multi-path monitoring node by distributed code execution and KD tree data index, the two-dimensional KD tree is constructed to realize the path data monitoring, the cloud computing core technology is used to test the hidden fault channel cloud test platform, and the hidden fault channel cloud test platform is designed with the resource integration method. Improve the parallel processing ability of hidden fault channel cloud test platform. The simulation results show that the output stability and reliability of the hidden fault channel cloud test platform designed by this method are good, and the ability of hidden fault channel cloud testing is improved.