Library prosa.model.task.arrival.sporadic_as_curve
Require Export prosa.util.all.
Require Export prosa.model.task.arrival.curves.
Require Export prosa.analysis.facts.sporadic.arrival_bound.
Require Export prosa.model.task.arrival.curves.
Require Export prosa.analysis.facts.sporadic.arrival_bound.
Arrival Curve for Sporadic Tasks
Any analysis that supports arbitrary arrival curves can also be
used to analyze sporadic tasks. We establish this link below.
Consider any type of sporadic tasks.
The bound on the maximum number of arrivals in a given interval
max_sporadic_arrivals is in fact a valid arrival curve, which
we note with the following arrival-curve declaration.
It remains to be shown that max_sporadic_arrivals satisfies
all expectations placed on arrival curves. First, we observe
that the bound is structurally sound.
For convenience, we lift the preceding observation to the level
of entire task sets.
Next, we note that it is indeed an arrival bound. To this end,
consider any type of jobs stemming from these tasks ...
... and any well-formed arrival sequence of such jobs.
Variable arr_seq : arrival_sequence Job.
Hypothesis H_valid_arrival_sequence : valid_arrival_sequence arr_seq.
Hypothesis H_valid_arrival_sequence : valid_arrival_sequence arr_seq.
We establish the validity of the defined curve.
Let tsk denote any valid sporadic task to be analyzed.
Variable tsk : Task.
Hypothesis H_sporadic_model: respects_sporadic_task_model arr_seq tsk.
Hypothesis H_valid_inter_min_arrival: valid_task_min_inter_arrival_time tsk.
Hypothesis H_sporadic_model: respects_sporadic_task_model arr_seq tsk.
Hypothesis H_valid_inter_min_arrival: valid_task_min_inter_arrival_time tsk.
We observe that max_sporadic_arrivals is indeed an upper bound
on the maximum number of arrivals.
Lemma sporadic_arrival_curve_respects_max_arrivals :
respects_max_arrivals arr_seq tsk (max_sporadic_arrivals tsk).
End Validity.
respects_max_arrivals arr_seq tsk (max_sporadic_arrivals tsk).
End Validity.
For convenience, we lift the preceding observation to the level
of entire task sets.
Remark sporadic_task_sets_respects_max_arrivals :
∀ ts,
valid_taskset_inter_arrival_times ts →
taskset_respects_sporadic_task_model ts arr_seq →
taskset_respects_max_arrivals arr_seq ts.
End SporadicArrivalCurve.
∀ ts,
valid_taskset_inter_arrival_times ts →
taskset_respects_sporadic_task_model ts arr_seq →
taskset_respects_max_arrivals arr_seq ts.
End SporadicArrivalCurve.
We add the lemmas into the "Hint Database" basic_rt_facts so that
they become available for proof automation.
Global Hint Resolve
sporadic_arrival_curve_valid
sporadic_task_sets_arrival_curve_valid
sporadic_arrival_curve_respects_max_arrivals
sporadic_task_sets_respects_max_arrivals
: basic_rt_facts.
sporadic_arrival_curve_valid
sporadic_task_sets_arrival_curve_valid
sporadic_arrival_curve_respects_max_arrivals
sporadic_task_sets_respects_max_arrivals
: basic_rt_facts.