Library prosa.analysis.facts.sporadic.arrival_sequence

Job Arrival Sequence in the Sporadic Model

In this file, we prove basic facts about a task's arrival sequence in the sporadic task model.
Section SporadicArrivals.

Consider sporadic tasks ...
  Context {Task : TaskType} `{SporadicModel Task}.

... and any type of jobs associated with these tasks.
  Context {Job : JobType} `{JobTask Job Task} `{JobArrival Job}.

Consider any unique arrival sequence with consistent arrivals, ...
... and any sporadic task tsk to be analyzed.
  Variable tsk : Task.

Assume all tasks have valid minimum inter-arrival times, valid offsets, and respect the sporadic task model.
Consider any two jobs from the arrival sequence that stem from task tsk.
  Variable j1 j2 : Job.
  Hypothesis H_j1_from_arrival_sequence: arrives_in arr_seq j1.
  Hypothesis H_j2_from_arrival_sequence: arrives_in arr_seq j2.
  Hypothesis H_j1_task: job_task j1 = tsk.
  Hypothesis H_j2_task: job_task j2 = tsk.

We show that a sporadic task with valid min inter-arrival time cannot have more than one job arriving at any time.
  Lemma size_task_arrivals_at_leq_one:
    ( j,
        size (task_arrivals_at_job_arrival arr_seq j) > 1
        respects_sporadic_task_model arr_seq (job_task j)
        valid_task_min_inter_arrival_time (job_task j))
      False.
  Proof.
    move ⇒ [j [SIZE_G [PERIODIC VALID_TMIA]]].
    specialize (exists_two (task_arrivals_at_job_arrival arr_seq j)) ⇒ EXISTS_TWO.
    destruct EXISTS_TWO as [a [b [NEQ [A_IN B_IN]]]]; [by done | by apply filter_uniq | ].
    rewrite mem_filter in A_IN; rewrite mem_filter in B_IN.
    move: A_IN B_IN ⇒ /andP [/eqP TSKA ARRA] /andP [/eqP TSKB ARRB].
    move: (ARRA); move: (ARRB); rewrite /arrivals_atA_IN B_IN.
    apply in_arrseq_implies_arrives in A_IN; apply in_arrseq_implies_arrives in B_IN.
    have EQ_ARR_A : (job_arrival a = job_arrival j) by apply H_consistent_arrivals.
    have EQ_ARR_B : (job_arrival b = job_arrival j) by apply H_consistent_arrivals.
    try ( apply uneq_job_uneq_arr with (arr_seq0 := arr_seq) (tsk0 := job_task j) in NEQ ⇒ // ) ||
    apply uneq_job_uneq_arr with (arr_seq := arr_seq) (tsk := job_task j) in NEQ ⇒ //.
    now rewrite EQ_ARR_A EQ_ARR_B in NEQ.
  Qed.

We show that no jobs of the task tsk other than j1 arrive at the same time as j1, and thus the task arrivals at job arrival j1 consists only of job j1.
  Lemma only_j_in_task_arrivals_at_j:
    task_arrivals_at_job_arrival arr_seq j1 = [::j1].
  Proof.
    set (task_arrivals_at_job_arrival arr_seq j1) as seq in ×.
    have J_IN_FILTER : (j1 \in seq) by apply arrives_in_task_arrivals_at.
    have SIZE_CASE : size seq = 0 size seq = 1 size seq > 1
      by intros; now destruct (size seq) as [ | [ | ]]; try auto.
    move: SIZE_CASE ⇒ [Z|[ONE|GTONE]].
    - apply size0nil in Z.
      now rewrite Z in J_IN_FILTER.
    - repeat (destruct seq; try by done).
      rewrite mem_seq1 in J_IN_FILTER; move : J_IN_FILTER ⇒ /eqP J1_S.
      now rewrite J1_S.
    - exfalso.
      apply size_task_arrivals_at_leq_one.
       j1.
      now repeat split ⇒ //; try rewrite H_j1_task.
  Qed.

We show that no jobs of the task tsk other than j1 arrive at the same time as j1, and thus the task arrivals at job arrival j1 consists only of job j1.
  Lemma only_j_at_job_arrival_j:
     t,
      job_arrival j1 = t
      task_arrivals_at arr_seq tsk t = [::j1].
  Proof.
    intros t ARR.
    rewrite -ARR.
    specialize (only_j_in_task_arrivals_at_j) ⇒ J_AT.
    now rewrite /task_arrivals_at_job_arrival H_j1_task in J_AT.
  Qed.

We show that a job j1 is the first job that arrives in task arrivals at job_arrival j1 by showing that the index of job j1 in task_arrivals_at_job_arrival arr_seq j1 is 0.
  Lemma index_j_in_task_arrivals_at:
    index j1 (task_arrivals_at_job_arrival arr_seq j1) = 0.
  Proof.
    now rewrite only_j_in_task_arrivals_at_j //= eq_refl.
  Qed.

We observe that for any job j the arrival time of prev_job j is strictly less than the arrival time of j in context of periodic tasks.
  Lemma prev_job_arr_lt:
    job_index arr_seq j1 > 0
    job_arrival (prev_job arr_seq j1) < job_arrival j1.
  Proof.
    intros IND.
    have PREV_ARR_LTE : job_arrival (prev_job arr_seq j1) job_arrival j1 by apply prev_job_arr_lte ⇒ //.
    rewrite ltn_neqAle; apply /andP.
    split ⇒ //; apply /eqP.
    try ( apply uneq_job_uneq_arr with (arr_seq0 := arr_seq) (tsk0 := job_task j1) ⇒ //; try by rewrite H_j1_task ) ||
    apply uneq_job_uneq_arr with (arr_seq := arr_seq) (tsk := job_task j1) ⇒ //; try by rewrite H_j1_task.
    - now apply prev_job_arr.
    - now apply prev_job_task.
    - intro EQ.
      have SM_IND: job_index arr_seq j1 - 1 = job_index arr_seq j1 by rewrite -prev_job_index // EQ.
      now lia.
  Qed.

We show that task arrivals at job_arrival j1 is the same as task arrivals that arrive between job_arrival j1 and job_arrival j1 + 1.
We show that the task arrivals up to the previous job j1 concatenated with the sequence ::j1 (the sequence containing only the job j1) is same as task arrivals up to job_arrival j1.
  Lemma prev_job_cat:
    job_index arr_seq j1 > 0
    task_arrivals_up_to_job_arrival arr_seq (prev_job arr_seq j1) ++ [::j1] = task_arrivals_up_to_job_arrival arr_seq j1.
  Proof.
    intros JIND.
    rewrite -only_j_in_task_arrivals_at_j task_arrivals_at_as_task_arrivals_between.
    rewrite /task_arrivals_up_to_job_arrival prev_job_task ⇒ //.
    rewrite [in X in _ = X] (task_arrivals_cat _ _ (job_arrival (prev_job arr_seq j1))); last by
        apply ltnW; apply prev_job_arr_lt.
    rewrite [in X in _ = _ ++ X] (task_arrivals_between_cat _ _ _ (job_arrival j1) _) ⇒ //; last by apply prev_job_arr_lt.
    rewrite no_jobs_between_consecutive_jobs ⇒ //.
    now rewrite cat0s H_j1_task.
  Qed.

End SporadicArrivals.