Abstract
The one-stop inspection and detection platform is designed to provide customers with personalized and customized full-process inspection and detection services by using "Internet+" as the core Web service technology to carry out online services. As a result of external environmental factors such as seasonality and unexpected events, the busy hours of the inspection and detection platform are increasing. This paper studies the scheduling of service resources for busy cloud detection platform with evolutionary game theory tools, constructs a bipartite evolutionary game model for the inspection and detection demander and resource provider, and conducts simulation experiments on the evolutionary game of busy cloud detection platform to analyze the coordination of interests between relevant stakeholders, which has theoretical and practical guidance significance for resource scheduling and the development of cloud detection platform during peak detection tasks.
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