Empowering OS Efficiency: A Contemporary Investigation of Paradigms of Process Scheduling Algorithms

Abstract

In task scheduling, every process that has a processor must be supported in parallel processing. in numerous circumstances. Not every algorithm is more effective on important tasks. Occasionally, different algorithms do work better than others. Scheduling algorithms used in contemporary operating systems are compared and discussed. This study's goal is to assess the efficiency and resource consumption of various scheduling algorithms used in the two most popular operating systems, Windows and Linux. Scheduling algorithms are essential for controlling tasks and allocating system resources like memory and CPU time. Effective resource utilization, fairness between many activities, and optimal system performance should all be guaranteed by a smart scheduling algorithm. The project shows a thorough literature assessment of operating system scheduling algorithms, outlining each algorithm's key characteristics, benefits, and drawbacks. The paper also discusses the techniques for assessing the scheduling algorithms' performance, resource use, and example test questions. The study's findings and analysis are included in the report, along with comparisons and contrasts between the scheduling algorithms employed by Windows and Linux. Both operating systems use priority-based scheduling algorithms, but they operate differently in prioritizing threads, sharing time, and scheduling real-time operations. This ends with a discussion of potential future research topics in operating system scheduling algorithms. As technology develops, new difficulties in workload diversity, hardware heterogeneity, and system scalability will emerge. Therefore, it is crucial to keep researching new scheduling algorithms and guidelines that can handle these issues and enhance the functionality, fairness, and resource efficiency of systems. In conclusion, this work gives important insights into the performance, fairness, and resource utilization of scheduling algorithms seen in contemporary operating systems. The study builds on current research in operating system scheduling algorithms and lays the groundwork for more studies in this field. The results of this study may be used for the selection and enhancement of scheduling algorithms for better system performance and resource utilization by operating system designers and researchers.