Game-Hypothetical Methodology for Continuous Undertaking Planning in Distributed computing Conditions

Cloud computing, with its fundamental virtualization technique, offers a flexible and powerful platform for deploying various applications. Real-time task scheduling in cloud environments, however, presents significant challenges due to timing constraints and the need for efficient resource allocation. This paper proposes a game-theoretic method for real-time task scheduling, leveraging both cooperative and non- cooperative game models. A systematic framework is developed, considering tasks as players and virtual machines as strategies. Through extensive experimental analysis, the effectiveness of the proposed approach is demonstrated, showing superior perfor- mance in terms of completion time and waiting time compared to traditional scheduling methods. Additionally, future research directions are outlined, including the integration of additional evaluation metrics to enhance scheduling efficiency in cloud computing systems further.