Cloud computing-driven resource allocation method for global tennis training: a performance optimization with game theory consideration.

Tennis is an elegant sport characterized by confrontation, controllability, leisure, and entertainment. With the continuous improvement of Chinese women's tennis in the world, men's tennis also appears in the world arena, and the popularity of Chinese sports also appears tennis hot. Since the 2008 Beijing Olympic Games, tennis courts have been built vigorously all over China. Due to the facilities, operational capabilities, and services vary in tennis courts, how to book a proper tennis court for clubs or citizens becomes the research content of this study. In the context of cloud computing, a lot of resources and information enter the cloud. This study puts tennis court resources in the cloud and allocates tennis court resources based on game theory. According to the situation that multi-users successively request cloud tennis court resources, this study designs a method of resource allocation for cloud tennis courts based on a dynamic game model. Aiming at the problems existing in traditional resource allocation, this method uses dynamic game theory to formally describe and analyze the resource allocation process and establish a game model, realize a game equilibrium solution based on the quantitative calculation of income, and realize fair resource allocation. The experimental results show that the proposed resource allocation of the tennis courts method has a good performance in success rate and task completion time. It also supports clubs or citizens in the global resource allocation of tennis courts. [ABSTRACT FROM AUTHOR]