Automated Model of Cloud Resource Acquisition Data Based on AI Prediction
Weiming Tao · 2024
With the continuous development and maturity of cloud computing and big data technology, the application of cloud resources is increasingly extensive. Business cloud has become the current development trend, and drives the rapid expansion of the scale of cloud resources. In this context, the efficiency monitoring and evaluation of cloud resources is particularly critical, among which the high-quality data collection of cloud resources is the crucial basis. In order to solve the quality problem of cloud resource collection data, this paper closely builds a set of cloud resource collection data automation model combined with advanced AI prediction technology. The model can efficiently audit the massive data collection of cloud resources, timely find and repair the problems existing in the data, so as to provide data consumers with more accurate and reliable basic cloud data, and ensure the accuracy, timeliness and effectiveness of cloud resource efficiency evaluation.