Library rt.implementation.global.basic.bertogna_fp_example
Require Import rt.util.all.
Require Import rt.model.arrival.basic.job rt.model.arrival.basic.task rt.model.priority.
Require Import rt.model.schedule.global.schedulability.
Require Import rt.model.schedule.global.basic.schedule rt.model.schedule.global.basic.platform.
Require Import rt.analysis.global.basic.workload_bound
rt.analysis.global.basic.interference_bound_fp
rt.analysis.global.basic.bertogna_fp_comp.
Require Import rt.implementation.job rt.implementation.task
rt.implementation.arrival_sequence.
Require Import rt.implementation.global.basic.schedule.
From mathcomp Require Import ssreflect ssrbool ssrnat eqtype seq bigop div.
Module ResponseTimeAnalysisFP.
Import Job Schedule SporadicTaskset Priority Schedulability Platform InterferenceBoundFP WorkloadBound ResponseTimeIterationFP.
Import ConcreteJob ConcreteTask ConcreteArrivalSequence ConcreteScheduler.
(* In this section, we instantiate a simple example to show that the theorems
contain no contradictory assumptions. *)
Section ExampleRTA.
Let tsk1 := {| task_id := 1; task_cost := 2; task_period := 5; task_deadline := 3|}.
Let tsk2 := {| task_id := 2; task_cost := 4; task_period := 6; task_deadline := 5|}.
Let tsk3 := {| task_id := 3; task_cost := 3; task_period := 12; task_deadline := 11|}.
(* Let ts be a task set containing these three tasks (sorted by rate-monotonic priority). *)
Program Let ts := Build_set [:: tsk1; tsk2; tsk3] _.
Section FactsAboutTaskset.
Fact ts_has_valid_parameters:
valid_sporadic_taskset task_cost task_period task_deadline ts.
Fact ts_has_constrained_deadlines:
∀ tsk,
tsk \in ts →
task_deadline tsk ≤ task_period tsk.
End FactsAboutTaskset.
(* Assume there are two processors. *)
Let num_cpus := 2.
(* Recall the FP RTA schedulability test. *)
Let schedulability_test :=
fp_schedulable task_cost task_period task_deadline num_cpus.
(* Now we show that the schedulability test returns true. *)
Fact schedulability_test_succeeds :
schedulability_test ts = true.
(* Let arr_seq be the periodic arrival sequence from ts. *)
Let arr_seq := periodic_arrival_sequence ts.
(* Assume rate-monotonic priorities. *)
Let higher_priority := FP_to_JLDP job_task (RM task_period).
Section FactsAboutPriorityOrder.
Lemma ts_has_unique_priorities :
FP_is_antisymmetric_over_task_set (RM task_period) ts.
Lemma priority_is_total :
FP_is_total_over_task_set (RM task_period) ts.
End FactsAboutPriorityOrder.
(* Let sched be the work-conserving RM scheduler. *)
Let sched := scheduler job_arrival job_cost num_cpus arr_seq higher_priority.
(* Recall the definition of deadline miss. *)
Let no_deadline_missed_by :=
task_misses_no_deadline job_arrival job_cost job_deadline job_task arr_seq sched.
(* Next, we prove that ts is schedulable with the result of the test. *)
Corollary ts_is_schedulable:
∀ tsk,
tsk \in ts →
no_deadline_missed_by tsk.
End ExampleRTA.
End ResponseTimeAnalysisFP.
Require Import rt.model.arrival.basic.job rt.model.arrival.basic.task rt.model.priority.
Require Import rt.model.schedule.global.schedulability.
Require Import rt.model.schedule.global.basic.schedule rt.model.schedule.global.basic.platform.
Require Import rt.analysis.global.basic.workload_bound
rt.analysis.global.basic.interference_bound_fp
rt.analysis.global.basic.bertogna_fp_comp.
Require Import rt.implementation.job rt.implementation.task
rt.implementation.arrival_sequence.
Require Import rt.implementation.global.basic.schedule.
From mathcomp Require Import ssreflect ssrbool ssrnat eqtype seq bigop div.
Module ResponseTimeAnalysisFP.
Import Job Schedule SporadicTaskset Priority Schedulability Platform InterferenceBoundFP WorkloadBound ResponseTimeIterationFP.
Import ConcreteJob ConcreteTask ConcreteArrivalSequence ConcreteScheduler.
(* In this section, we instantiate a simple example to show that the theorems
contain no contradictory assumptions. *)
Section ExampleRTA.
Let tsk1 := {| task_id := 1; task_cost := 2; task_period := 5; task_deadline := 3|}.
Let tsk2 := {| task_id := 2; task_cost := 4; task_period := 6; task_deadline := 5|}.
Let tsk3 := {| task_id := 3; task_cost := 3; task_period := 12; task_deadline := 11|}.
(* Let ts be a task set containing these three tasks (sorted by rate-monotonic priority). *)
Program Let ts := Build_set [:: tsk1; tsk2; tsk3] _.
Section FactsAboutTaskset.
Fact ts_has_valid_parameters:
valid_sporadic_taskset task_cost task_period task_deadline ts.
Fact ts_has_constrained_deadlines:
∀ tsk,
tsk \in ts →
task_deadline tsk ≤ task_period tsk.
End FactsAboutTaskset.
(* Assume there are two processors. *)
Let num_cpus := 2.
(* Recall the FP RTA schedulability test. *)
Let schedulability_test :=
fp_schedulable task_cost task_period task_deadline num_cpus.
(* Now we show that the schedulability test returns true. *)
Fact schedulability_test_succeeds :
schedulability_test ts = true.
(* Let arr_seq be the periodic arrival sequence from ts. *)
Let arr_seq := periodic_arrival_sequence ts.
(* Assume rate-monotonic priorities. *)
Let higher_priority := FP_to_JLDP job_task (RM task_period).
Section FactsAboutPriorityOrder.
Lemma ts_has_unique_priorities :
FP_is_antisymmetric_over_task_set (RM task_period) ts.
Lemma priority_is_total :
FP_is_total_over_task_set (RM task_period) ts.
End FactsAboutPriorityOrder.
(* Let sched be the work-conserving RM scheduler. *)
Let sched := scheduler job_arrival job_cost num_cpus arr_seq higher_priority.
(* Recall the definition of deadline miss. *)
Let no_deadline_missed_by :=
task_misses_no_deadline job_arrival job_cost job_deadline job_task arr_seq sched.
(* Next, we prove that ts is schedulable with the result of the test. *)
Corollary ts_is_schedulable:
∀ tsk,
tsk \in ts →
no_deadline_missed_by tsk.
End ExampleRTA.
End ResponseTimeAnalysisFP.