Performance Analysis of Operating Systems and Scheduling Techniques

A modern computer system must handle many programs and requests for resources while providing acceptable performance and responsiveness. The operating system provides mechanisms to control processor time, memory, storage and other resources, providing an organized environment for executing applications [1], [2]. This review covers basic operating-system concepts and compares Windows, Linux and macOS with a focus on their system-management approaches [3]–[5]. It also considers CPU scheduling methods based on processor utilization, waiting time, responsiveness, fairness and workload suitability [1] [2] [7]. A comparison reveals different results of scheduling decisions according to the workload characteristics and the system objectives. Thus, considering the organization of the operating system along with scheduling strategies provides a broader view of how computing platforms handle the processing resources and the capability of supporting efficient program execution. Scheduling policies balance several performance objectives rather than maximizing one measure [1], [2].