The paper borrows user satisfaction of the economic indicators in management economics to measure cloud computing resource scheduling service quality, and puts forward the definition of cloud computing resource scheduling and user satisfaction. On this basis, US-GA presents a genetic algorithm based on user satisfaction. The algorithm takes user satisfaction as the basis of genetic mutation operation, and obtains the best individual scheduling through several generations of evolution, that is, the optimal scheduling scheme, and achieves the improvement of cloud computing resource scheduling quality of service.