Authors: M. Kumaraguru, B. Bhuvaneswari
Abstract: Cloud gaming is a rapidly evolving domain that provides seamless access to immersive, high-quality gaming experiences. Despite its advantages, reducing latency remains a significant hurdle, especially under varying network conditions. This study introduces an innovative solution that leverages artificial intelligence (AI) to tackle these issues. The proposed system integrates AI techniques to enhance multiple facets of cloud gaming, such as video compression, traffic routing, resource distribution, and prediction of user interactions. Machine learning algorithms continuously fine-tune streaming configurations in response to live network metrics and individual user preferences, thereby lowering latency and boosting visual fidelity. Furthermore, reinforcement learning is employed to optimize backend resource management, improving both scalability and operational efficiency. The use of AI-powered predictive analytics facilitates customized gameplay by forecasting user behavior and dynamically adjusting game mechanics. Through behavioral analysis and preference modeling, the system personalizes content delivery, difficulty settings, and in-game support.
