Research on Cloud Service Artificial Intelligence Evaluation Algorithm Based on Big Data Resource Awareness Mechanism

In order to solve the problems of low efficiency of user service evaluation and difficult control of evaluation time, an artificial intelligence evaluation algorithm for cloud service based on big data resource awareness mechanism was proposed.First of all, in view of the characteristics of user access popularity and centralized burst of services under the condition of big data, the level matching method is adopted to meet the access needs of users at different levels as far as possible, improve the service matching accuracy and reduce the service evaluation time. Then, considering the impact of cloud resource occupation on service matching, the ranking method from low to high is adopted to improve the granularity of user service. Finally, hibernation mechanism is introduced to enhance the efficiency of resource evaluation. The simulation results show that compared with ABC algorithm and HM algorithm, the designed algorithm has shorter service evaluation time, higher accumulative number of user service satisfaction per unit time, and strong evaluation convergence ability and user service quality.