Core Viewpoint - The article discusses the recent patent publication for a cloud platform operation and maintenance method and system applied by Beijing Baizhuo Network Technology Co., Ltd. and Tongding Interconnection Information Co., Ltd. (002491) [1] Group 1: Patent Details - The patent provides a method and system for cloud platform operation and maintenance, involving data processing technology [1] - It includes obtaining multidimensional data from the cloud platform and integrating it into a high-order tensor using the Tucker decomposition method [1] - The high-order tensor undergoes non-uniform sampling to construct the cloud platform's high-order tensor structure [1] Group 2: Predictive Modeling - A spatiotemporal multiscale topology map of the cloud platform is generated based on the high-order tensor structure [1] - A dynamic prediction model for the cloud platform is constructed using the spatiotemporal multiscale topology map [1] - The multidimensional data of the cloud platform is pre-processed, and the results are sent to the dynamic prediction model for forecasting [1] Group 3: Operational Efficiency - The method aims to predict the state of the cloud platform over a preset time period and derive a corresponding operation and maintenance plan [1] - It combines long-range dependencies and sudden fluctuations to automate resource scheduling and anomaly detection [1]