Library prosa.classic.analysis.uni.susp.dynamic.oblivious.fp_rta
Require Import prosa.classic.util.all.
Require Import prosa.classic.model.arrival.basic.job prosa.classic.model.arrival.basic.task prosa.classic.model.arrival.basic.arrival_sequence
prosa.classic.model.priority prosa.classic.model.suspension prosa.classic.model.arrival.basic.task_arrival.
Require Import prosa.classic.model.schedule.uni.schedule prosa.classic.model.schedule.uni.schedulability.
Require Import prosa.classic.model.schedule.uni.susp.suspension_intervals
prosa.classic.model.schedule.uni.susp.schedule prosa.classic.model.schedule.uni.susp.platform.
Require Import prosa.classic.analysis.uni.basic.fp_rta_comp.
Require Import prosa.classic.analysis.uni.susp.dynamic.oblivious.reduction.
From mathcomp Require Import ssreflect ssrbool eqtype ssrnat seq fintype bigop.
Module SuspensionObliviousFP.
Import Job TaskArrival SporadicTaskset Suspension Priority Schedulability
PlatformWithSuspensions SuspensionIntervals.
Export ResponseTimeIterationFP ReductionToBasicSchedule.
(* In this section, we formalize the suspension-oblivious RTA
for fixed-priority tasks under the dynamic self-suspension model.
This is just a straightforward application of the reduction
in analysis/uni/susp/dynamic/oblivious/reduction.v with the basic
response-time analysis for uniprocessor FP scheduling. *)
Section ReductionToBasicAnalysis.
Context {SporadicTask: eqType}.
Variable task_cost: SporadicTask → time.
Variable task_period: SporadicTask → time.
Variable task_deadline: SporadicTask → time.
Context {Job: eqType}.
Variable job_arrival: Job → time.
Variable job_cost: Job → time.
Variable job_deadline: Job → time.
Variable job_task: Job → SporadicTask.
(* Let ts be any task set to be analyzed... *)
Variable ts: taskset_of SporadicTask.
(* ...such that tasks have valid parameters. *)
Hypothesis H_valid_task_parameters:
valid_sporadic_taskset task_cost task_period task_deadline ts.
(* Next, consider any job arrival sequence with consistent, duplicate-free arrivals,... *)
Variable arr_seq: arrival_sequence Job.
Hypothesis H_arrival_times_are_consistent: arrival_times_are_consistent job_arrival arr_seq.
Hypothesis H_arrival_sequence_is_a_set: arrival_sequence_is_a_set arr_seq.
(* ...in which all jobs come from task set ts, ... *)
Hypothesis H_jobs_from_taskset:
∀ j, arrives_in arr_seq j → job_task j \in ts.
(* ...have valid parameters,...*)
Hypothesis H_valid_job_parameters:
∀ j,
arrives_in arr_seq j →
valid_sporadic_job task_cost task_deadline job_cost job_deadline job_task j.
(* ... and satisfy the sporadic task model. *)
Hypothesis H_sporadic_tasks:
sporadic_task_model task_period job_arrival job_task arr_seq.
(* Consider any FP policy that is reflexive, transitive and total, indicating
"higher or equal task priority". *)
Variable higher_eq_priority: FP_policy SporadicTask.
Hypothesis H_priority_is_reflexive: FP_is_reflexive higher_eq_priority.
Hypothesis H_priority_is_transitive: FP_is_transitive higher_eq_priority.
Hypothesis H_priority_is_total: FP_is_total_over_task_set higher_eq_priority ts.
(* Assume that the total suspension time of any job is bounded according
to the dynamic suspension model. *)
Variable next_suspension: job_suspension Job.
Variable task_suspension_bound: SporadicTask → time.
Hypothesis H_dynamic_suspensions:
dynamic_suspension_model job_cost job_task next_suspension task_suspension_bound.
(* As part of the analysis, we are going to use task costs inflated with suspension bounds, ... *)
Let inflated_cost := inflated_task_cost task_cost task_suspension_bound.
(* ...with the condition that they are no larger than the deadline nor the period of each task. *)
Hypothesis H_inflated_cost_le_deadline_and_period:
∀ tsk,
tsk \in ts →
inflated_cost tsk ≤ task_deadline tsk ∧
inflated_cost tsk ≤ task_period tsk.
(* Now we proceed with the schedulability analysis. *)
Section MainProof.
(* Consider any suspension-aware schedule of the arrival sequence... *)
Variable sched: schedule Job.
Hypothesis H_jobs_come_from_arrival_sequence:
jobs_come_from_arrival_sequence sched arr_seq.
(* ...where jobs only execute after they arrive... *)
Hypothesis H_jobs_must_arrive_to_execute: jobs_must_arrive_to_execute job_arrival sched.
(* ...and no longer than their execution costs. *)
Hypothesis H_completed_jobs_dont_execute: completed_jobs_dont_execute job_cost sched.
(* Also assume that the schedule is work-conserving when there are non-suspended jobs, ... *)
Hypothesis H_work_conserving: work_conserving job_arrival job_cost next_suspension arr_seq sched.
(* ...that the schedule respects job priority... *)
Hypothesis H_respects_priority:
respects_FP_policy job_arrival job_cost job_task next_suspension arr_seq
sched higher_eq_priority.
(* ...and that suspended jobs are not allowed to be scheduled. *)
Hypothesis H_respects_self_suspensions:
respects_self_suspensions job_arrival job_cost next_suspension sched.
(* For simplicity, let's also define some local names. *)
Let task_is_schedulable :=
task_misses_no_deadline job_arrival job_cost job_deadline job_task arr_seq sched.
(* Next, recall the response-time analysis for FP scheduling instantiated with
the inflated task costs. *)
Let claimed_to_be_schedulable :=
fp_schedulable inflated_cost task_period task_deadline higher_eq_priority.
(* Then, we prove that if this suspension-oblivious response-time analysis suceeds... *)
Hypothesis H_claimed_schedulable_by_suspension_oblivious_RTA:
claimed_to_be_schedulable ts.
(* ...then no task misses its deadline in the suspension-aware schedule.
The proof is a straightforward application of the following lemma from
reduction.v: suspension_oblivious_preserves_schedulability. *)
Theorem suspension_oblivious_fp_rta_implies_schedulability:
∀ tsk,
tsk \in ts →
task_is_schedulable tsk.
End MainProof.
End ReductionToBasicAnalysis.
End SuspensionObliviousFP.
Require Import prosa.classic.model.arrival.basic.job prosa.classic.model.arrival.basic.task prosa.classic.model.arrival.basic.arrival_sequence
prosa.classic.model.priority prosa.classic.model.suspension prosa.classic.model.arrival.basic.task_arrival.
Require Import prosa.classic.model.schedule.uni.schedule prosa.classic.model.schedule.uni.schedulability.
Require Import prosa.classic.model.schedule.uni.susp.suspension_intervals
prosa.classic.model.schedule.uni.susp.schedule prosa.classic.model.schedule.uni.susp.platform.
Require Import prosa.classic.analysis.uni.basic.fp_rta_comp.
Require Import prosa.classic.analysis.uni.susp.dynamic.oblivious.reduction.
From mathcomp Require Import ssreflect ssrbool eqtype ssrnat seq fintype bigop.
Module SuspensionObliviousFP.
Import Job TaskArrival SporadicTaskset Suspension Priority Schedulability
PlatformWithSuspensions SuspensionIntervals.
Export ResponseTimeIterationFP ReductionToBasicSchedule.
(* In this section, we formalize the suspension-oblivious RTA
for fixed-priority tasks under the dynamic self-suspension model.
This is just a straightforward application of the reduction
in analysis/uni/susp/dynamic/oblivious/reduction.v with the basic
response-time analysis for uniprocessor FP scheduling. *)
Section ReductionToBasicAnalysis.
Context {SporadicTask: eqType}.
Variable task_cost: SporadicTask → time.
Variable task_period: SporadicTask → time.
Variable task_deadline: SporadicTask → time.
Context {Job: eqType}.
Variable job_arrival: Job → time.
Variable job_cost: Job → time.
Variable job_deadline: Job → time.
Variable job_task: Job → SporadicTask.
(* Let ts be any task set to be analyzed... *)
Variable ts: taskset_of SporadicTask.
(* ...such that tasks have valid parameters. *)
Hypothesis H_valid_task_parameters:
valid_sporadic_taskset task_cost task_period task_deadline ts.
(* Next, consider any job arrival sequence with consistent, duplicate-free arrivals,... *)
Variable arr_seq: arrival_sequence Job.
Hypothesis H_arrival_times_are_consistent: arrival_times_are_consistent job_arrival arr_seq.
Hypothesis H_arrival_sequence_is_a_set: arrival_sequence_is_a_set arr_seq.
(* ...in which all jobs come from task set ts, ... *)
Hypothesis H_jobs_from_taskset:
∀ j, arrives_in arr_seq j → job_task j \in ts.
(* ...have valid parameters,...*)
Hypothesis H_valid_job_parameters:
∀ j,
arrives_in arr_seq j →
valid_sporadic_job task_cost task_deadline job_cost job_deadline job_task j.
(* ... and satisfy the sporadic task model. *)
Hypothesis H_sporadic_tasks:
sporadic_task_model task_period job_arrival job_task arr_seq.
(* Consider any FP policy that is reflexive, transitive and total, indicating
"higher or equal task priority". *)
Variable higher_eq_priority: FP_policy SporadicTask.
Hypothesis H_priority_is_reflexive: FP_is_reflexive higher_eq_priority.
Hypothesis H_priority_is_transitive: FP_is_transitive higher_eq_priority.
Hypothesis H_priority_is_total: FP_is_total_over_task_set higher_eq_priority ts.
(* Assume that the total suspension time of any job is bounded according
to the dynamic suspension model. *)
Variable next_suspension: job_suspension Job.
Variable task_suspension_bound: SporadicTask → time.
Hypothesis H_dynamic_suspensions:
dynamic_suspension_model job_cost job_task next_suspension task_suspension_bound.
(* As part of the analysis, we are going to use task costs inflated with suspension bounds, ... *)
Let inflated_cost := inflated_task_cost task_cost task_suspension_bound.
(* ...with the condition that they are no larger than the deadline nor the period of each task. *)
Hypothesis H_inflated_cost_le_deadline_and_period:
∀ tsk,
tsk \in ts →
inflated_cost tsk ≤ task_deadline tsk ∧
inflated_cost tsk ≤ task_period tsk.
(* Now we proceed with the schedulability analysis. *)
Section MainProof.
(* Consider any suspension-aware schedule of the arrival sequence... *)
Variable sched: schedule Job.
Hypothesis H_jobs_come_from_arrival_sequence:
jobs_come_from_arrival_sequence sched arr_seq.
(* ...where jobs only execute after they arrive... *)
Hypothesis H_jobs_must_arrive_to_execute: jobs_must_arrive_to_execute job_arrival sched.
(* ...and no longer than their execution costs. *)
Hypothesis H_completed_jobs_dont_execute: completed_jobs_dont_execute job_cost sched.
(* Also assume that the schedule is work-conserving when there are non-suspended jobs, ... *)
Hypothesis H_work_conserving: work_conserving job_arrival job_cost next_suspension arr_seq sched.
(* ...that the schedule respects job priority... *)
Hypothesis H_respects_priority:
respects_FP_policy job_arrival job_cost job_task next_suspension arr_seq
sched higher_eq_priority.
(* ...and that suspended jobs are not allowed to be scheduled. *)
Hypothesis H_respects_self_suspensions:
respects_self_suspensions job_arrival job_cost next_suspension sched.
(* For simplicity, let's also define some local names. *)
Let task_is_schedulable :=
task_misses_no_deadline job_arrival job_cost job_deadline job_task arr_seq sched.
(* Next, recall the response-time analysis for FP scheduling instantiated with
the inflated task costs. *)
Let claimed_to_be_schedulable :=
fp_schedulable inflated_cost task_period task_deadline higher_eq_priority.
(* Then, we prove that if this suspension-oblivious response-time analysis suceeds... *)
Hypothesis H_claimed_schedulable_by_suspension_oblivious_RTA:
claimed_to_be_schedulable ts.
(* ...then no task misses its deadline in the suspension-aware schedule.
The proof is a straightforward application of the following lemma from
reduction.v: suspension_oblivious_preserves_schedulability. *)
Theorem suspension_oblivious_fp_rta_implies_schedulability:
∀ tsk,
tsk \in ts →
task_is_schedulable tsk.
End MainProof.
End ReductionToBasicAnalysis.
End SuspensionObliviousFP.