jdhart7 / schedulingsimulator

Simulates a fixed priority rate-monotonic scheduling algorithm. Randomly generates tasks and deadlines.

ScedulingSimulator

Simulates a fixed priority rate-monotonic scheduling algorithm. Randomly generates tasks and deadlines. This program aims to show how the fixed priority rate monotonic algorithm and the Deadline Driven algorithm look when used as outlined in the paper Scheduling Algorithms for Multipogramming in a Hard-Real-Time Environment by Liu and Layland . In the paper, it is outlined that the fixed priority algorithm can only consistantly achieve a processor utilization that is the below the average of the runtimes and the request periods. For more information, see section 5 on acievable processor utilization.

The fixed priority algorithm works by completing the shortest task first, then moving on to the next. If a shorter period ends before the current task is completed (meaning a task higher on the Gantt diagram arrives before the current task is completed, in the Gantt diagrams showed), the shorter period has a higher priority and therefore would preempt (or interrupt) the current task.

In the dynamic algorithm, the tasks are scheduled on-the-fly based on which deadline is closest. At each time interval, there are two choices: either work on the current task or move on to another. For this algorithm, it will only move to another task when it's finished with the current task or a task arrives who has an earlier deadline. The priorities, therefore, must be determined on each time interval. While this algorithm is more complicated, it has a guaranteed processor utilization of up to 100%, meaning that as long as the processor utilization is under 100%, the dynamic scheduling algorithm is feasible.

-John DeHart