Cloud computing has revolutionized the way computing resources are utilized, offering scalable and flexible infrastructure for diverse applications. However, managing and scheduling tasks in cloud environments presents significant challenges due to the dynamic nature of resources, varying workloads, and the need for optimization to meet performance goals. Efficient scheduling is essential to maximize resource utilization, minimize execution time, and improve the overall quality of service (QoS). Traditional scheduling algorithms often struggle to handle these complexities effectively.