Description: Statistical scheduling is a process management method in operating systems that uses statistical techniques to determine the order of execution of processes in the CPU. This approach is based on the collection and analysis of data regarding the behavior of processes, allowing schedulers to predict and optimize system performance. Unlike traditional scheduling methods, which may rely on fixed criteria or heuristics, statistical scheduling dynamically adapts to changing conditions across various computing environments. This means it can adjust the priority of processes based on their historical behavior, such as CPU time used or memory access frequency. The main features of this method include the ability to handle variable workloads and improved resource utilization efficiency, resulting in smoother and more predictable performance. Statistical scheduling is particularly relevant in environments where the workload is unpredictable and where a high degree of adaptability is required to maintain optimal performance.
