# Library prosa.analysis.facts.busy_interval.pi_bound

Require Export prosa.analysis.facts.busy_interval.pi.

# Bounded Priority Inversion Due to Non-Preemptive Sections

In the following, we relate the maximum cumulative priority inversion with a given blocking bound, assuming that priority version is caused (only) by non-preemptive segments.
Section PriorityInversionIsBounded.
Consider any type of tasks ...
Context {Task : TaskType}.
Context `{TaskCost Task}.
In addition, we assume that each task has a maximal non-preemptive segment ...
Context `{TaskMaxNonpreemptiveSegment Task}.
... and any type of preemptable jobs associated with these tasks.
Context {Job : JobType}.
Context `{JobTask Job Task}.
Context `{JobArrival Job}.
Context `{JobCost Job}.
Context `{JobPreemptable Job}.
Consider any valid arrival sequence,...
Variable arr_seq : arrival_sequence Job.
Hypothesis H_valid_arrival_sequence : valid_arrival_sequence arr_seq.
... and any schedule of this arrival sequence.
Context {PState : ProcessorState Job}.
Variable sched : schedule PState.
Consider a JLFP policy that indicates a higher-or-equal priority relation, and assume that the relation is reflexive and transitive.
Context {JLFP : JLFP_policy Job}.
Hypothesis H_priority_is_reflexive : reflexive_job_priorities JLFP.
Hypothesis H_priority_is_transitive : transitive_job_priorities JLFP.
And assume that they define a valid preemption model with bounded nonpreemptive segments.
Hypothesis H_valid_model_with_bounded_nonpreemptive_segments :
valid_model_with_bounded_nonpreemptive_segments arr_seq sched.
Further, allow for any work-bearing notion of job readiness.
Context `{!JobReady Job PState}.
Hypothesis H_job_ready : work_bearing_readiness arr_seq sched.
We assume that the schedule is valid.
Hypothesis H_valid_schedule : valid_schedule sched arr_seq.
Next, we assume that the schedule is a work-conserving schedule...
Hypothesis H_work_conserving : work_conserving arr_seq sched.
...,it respects the scheduling policy at every preemption point,...
Hypothesis H_respects_policy :
respects_JLFP_policy_at_preemption_point arr_seq sched JLFP.
... and complies with the preemption model.
Hypothesis H_valid_preemption_model : valid_preemption_model arr_seq sched.
Now, we consider an arbitrary task set ts...
Variable ts : seq Task.
... and assume that all jobs stem from tasks in this task set.
Hypothesis H_all_jobs_from_taskset : all_jobs_from_taskset arr_seq ts.
Let tsk be any task in ts that is to be analyzed.
Variable tsk : Task.
Hypothesis H_tsk_in_ts : tsk \in ts.
Let blocking_bound be a bound on the priority inversion caused by jobs with lower priority.
Variable blocking_bound : duration → duration.
The following argument assumes an ideal uniprocessor.
Hypothesis H_uni : uniprocessor_model PState.
Hypothesis H_unit : unit_service_proc_model PState.
Hypothesis H_progress : ideal_progress_proc_model PState.
We show that, if the maximum length of a priority inversion of a given job j is bounded by the blocking bound,...
Hypothesis H_priority_inversion_is_bounded_by_blocking :
∀ j t1 t2,
arrives_in arr_seq j →
job_of_task tsk j →
busy_interval_prefix arr_seq sched j t1 t2 →
max_lp_nonpreemptive_segment arr_seq j t1 ≤ blocking_bound (job_arrival j - t1).
... then the priority inversion incurred by any job is bounded by the blocking bound.
Lemma priority_inversion_is_bounded :
priority_inversion_is_bounded_by arr_seq sched tsk blocking_bound.
End PriorityInversionIsBounded.