Description: Real-Time Distributed Scheduling refers to an approach to task management in computer systems where tasks requiring immediate attention are distributed across multiple systems or nodes. This method is crucial in environments where latency and synchronization are essential, such as in industrial control applications, telecommunications systems, and autonomous vehicles. Unlike centralized scheduling, where a single system makes all decisions, distributed scheduling allows each node in the system to make decisions about task execution based on its state and capacity, improving overall system efficiency and resilience. Key features of this approach include the ability to adapt to changes in workload, fault tolerance, and resource utilization optimization. Additionally, real-time distributed scheduling can facilitate collaboration among different systems, allowing them to work together more effectively to meet real-time requirements. This approach is especially relevant in today’s era, where interconnectivity and cloud computing are on the rise, and it is expected to continue evolving to meet the growing demands of critical applications.
