Recent research in game theory-based resource allocation in cloud computing focuses on applying strategic interaction models to optimize the distribution of computational resources among users and service providers. By leveraging game-theoretic frameworks such as non-cooperative, cooperative, and Stackelberg games, these studies aim to achieve equilibrium solutions that balance resource utilization, energy efficiency, and cost-effectiveness. Game theory enables modeling of rational decision-making among multiple agents, allowing dynamic pricing, fair resource sharing, and conflict resolution in multi-tenant cloud environments. This approach enhances scalability, efficiency, and fairness while supporting adaptive resource management under varying workload demands and service-level requirements.