Evaluation of Discrete Voltage Level for Fixed Priority Framework Energy-Efficient Scheduling

In this paper, energy-efficient scheduling algorithms with a fixed priority framework are thoroughly analyzed with an emphasis on discrete voltage level systems. The main goal is to use as little energy as possible while still making sure that every activity is completed by the deadline. This is especially important for embedded systems and real-time applications where energy efficiency and performance are crucial. The study investigates several scheduling methods that dynamically modify processor frequency and voltage in response to job deadlines and priorities. The suggested strategy seeks to lower the system’s power consumption during times of low demand without sacrificing the timely completion of important operations by utilizing discrete voltage levels. Taking into account variables like task execution time, deadline restrictions, and workload fluctuation in the system, we examine the effects of various voltage scaling schemes on energy consumption and system performance. As part of our process, we thoroughly analyze both theoretical models and real-world applications. We create mathematical expressions that represent the behavior of energy consumption in various scheduling scenarios, and we verify these models with large-scale simulations. The simulations take into account an array of task sets with differing properties in order to guarantee the results’ robustness and generalizability. The results show that energy efficiency in fixed priority systems can be greatly improved by discrete voltage scaling. This research concludes by showing that a workable method for lowering power usage in real-time systems is energy-efficient scheduling with discrete voltage levels inside a defined priority framework.