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This example shows how to use dependent tasks to model and prioritize the time-critical and non-time-critical parts of a process.
Task tokens with two priority levels are generated by the two token generators on the left side of the model. The tokens are ordered in ascending priority in the Priority-Based Task Queue just before the CPU. The tokens are then passed to the CPU for task execution.
A task dependent on the completion of the high-priority task is modeled using the combination of the Entity Departure Event to Function-Call Event block and the Event-Based Entity Generator block. This allows the time-critical part of a process to be performed by a high-priority task. The remaining non-time-critical part is performed by a low-priority task, which is scheduled as a dependent task. The dependent task tokens are processed through the same task queue as the independent tasks.
The simulation results can be seen on the following scopes:
Priority value of the task being executed in the CPU. This plot indicates when a high-priority task (priority 1) preempts a low-priority task (priority 2) and when a low-priority task preempts a dependent task (priority 3).
Length of the Priority-Based Task Queue. The queue length increases at times when the high-priority task is completed because the completion causes generation of a new dependent task.
Number of low-priority tasks completed.
Number of high-priority tasks completed.
Number of dependent tasks completed. This equals the number of high-priority tasks completed because the dependent task tokens are generated upon the completion of a high-priority task.