Recent research in game theory-based methods for cloud computing explores intelligent and strategic decision-making approaches for optimizing resource allocation, task scheduling, and pricing mechanisms among cloud providers and users. Game-theoretic frameworks, including cooperative, non-cooperative, Stackelberg, and auction-based models, are being used to balance competing interests, enhance fairness, and improve system efficiency. These methods enable dynamic adaptation to fluctuating workloads and user demands while maintaining service-level agreements and maximizing provider profit. By modeling cloud interactions as strategic games, researchers aim to achieve equilibrium solutions that minimize cost, reduce latency, and ensure optimal resource utilization in multi-tenant cloud environments.