Library prosa.analysis.abstract.restricted_supply.bounded_bi.fp

Sufficient Condition for Bounded Busy Intervals for RS FP

In this section, we show that the existence of L such that B + total_hep_rbf L SBF L, where B is the blocking bound and SBF is a supply-bound function, is a sufficient condition for the existence of bounded busy intervals under FP scheduling with a restricted-supply processor model.
Consider any type of tasks ...
  Context {Task : TaskType}.
  Context `{TaskCost Task}.

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

Consider any kind of fully supply-consuming unit-supply uniprocessor model.
Consider an FP policy that indicates a higher-or-equal priority relation, and assume that the relation is reflexive and transitive.
Consider any valid arrival sequence.
Next, consider a schedule of this arrival sequence, ...
  Variable sched : schedule PState.

... allow for any work-bearing notion of job readiness, ...
  Context `{!JobReady Job PState}.
  Hypothesis H_job_ready : work_bearing_readiness arr_seq sched.

... and assume that the schedule is valid.
Assume that jobs have bounded non-preemptive segments.
Furthermore, we assume that the schedule is work-conserving ...
... and that it respects the scheduling policy.
Recall that busy_intervals_are_bounded_by is an abstract notion. Hence, we need to introduce interference and interfering workload. We will use the restricted-supply instantiations.
We say that job j incurs interference at time t iff it cannot execute due to (1) the lack of supply at time t, (2) service inversion (i.e., a lower-priority job receiving service at t), or a higher-or-equal-priority job receiving service.
The interfering workload, in turn, is defined as the sum of the blackout predicate, service inversion predicate, and the interfering workload of jobs with higher or equal priority.
Consider an arbitrary task set ts, ...
  Variable ts : list Task.

... assume that all jobs come from the task set, ...
... and that the cost of a job does not exceed its task's WCET.
Let max_arrivals be a family of valid arrival curves, i.e., for any task tsk in ts, max_arrival tsk is (1) an arrival bound of tsk, and (2) it is a monotonic function that equals 0 for the empty interval delta = 0.
Let tsk be any task in ts that is to be analyzed.
  Variable tsk : Task.
  Hypothesis H_tsk_in_ts : tsk \in ts.

Consider a unit SBF valid in busy intervals (w.r.t. task tsk). That is, (1) SBF 0 = 0, (2) for any duration Δ, the supply produced during a busy-interval prefix of length Δ is at least SBF Δ, and (3) SBF makes steps of at most one.
Let L be any positive fixed point of the busy-interval recurrence.
  Variable L : duration.
  Hypothesis H_L_positive : 0 < L.
  Hypothesis H_fixed_point :
    blocking_bound ts tsk + total_hep_request_bound_function_FP ts tsk L SBF L.

Next, we provide a step-by-step proof of busy-interval boundedness.
  Section StepByStepProof.

Consider any job j of task tsk that has a positive job cost and is in the arrival sequence.
    Variable j : Job.
    Hypothesis H_j_arrives : arrives_in arr_seq j.
    Hypothesis H_job_of_tsk : job_of_task tsk j.
    Hypothesis H_job_cost_positive : job_cost_positive j.

Consider two cases: (1) when the busy-interval prefix continues until time instant t1 + L and (2) when the busy interval prefix terminates earlier. In either case, we can show that the busy-interval prefix is bounded.
We start with the first case, where the busy-interval prefix continues until time instant t1 + L.
    Section Case1.

Consider a time instant t1 such that [t1, job_arrival j]>> and [t1, t1 + L) are both busy-interval prefixes of job j.
Note that at this point we do not necessarily know that job_arrival j L; hence, we assume the existence of both prefixes.
      Variable t1 : instant.
      Hypothesis H_busy_prefix_arr : busy_interval_prefix arr_seq sched j t1 (job_arrival j).+1.
      Hypothesis H_busy_prefix_L : busy_interval_prefix arr_seq sched j t1 (t1 + L).

The crucial point to note is that the sum of the job's cost (represented as workload_of_job) and the interfering workload in the interval [t1, t1 + L) is bounded by L due to the fixed point H_fixed_point.
      Local Lemma workload_is_bounded :
        workload_of_job arr_seq j t1 (t1 + L) + cumulative_interfering_workload j t1 (t1 + L) L.

It follows that t1 + L is a quiet time, which means that the busy prefix ends (i.e., it is bounded).
      Local Lemma busy_prefix_is_bounded_case1 :
         t2,
          job_arrival j < t2
           t2 t1 + L
           busy_interval arr_seq sched j t1 t2.

    End Case1.

Next, we consider the case when the interval [t1, t1 + L) is not a busy-interval prefix.
    Section Case2.

Consider a time instant t1 such that [t1, job_arrival j]>> is a busy-interval prefix of j and [t1, t1 + L) is not.
      Variable t1 : instant.
      Hypothesis H_arrives : t1 job_arrival j.
      Hypothesis H_busy_prefix_arr : busy_interval_prefix arr_seq sched j t1 (job_arrival j).+1.
      Hypothesis H_no_busy_prefix_L : ¬ busy_interval_prefix arr_seq sched j t1 (t1 + L).

From the properties of busy intervals, one can conclude that j's arrival time is less than t1 + L.
      Local Lemma job_arrival_is_bounded :
        job_arrival j < t1 + L.
Lemma job_arrival_is_bounded implies that the busy-interval prefix starts at time t1, continues until job_arrival j + 1, and then terminates before t1 + L. Or, in other words, there is point in time t2 such that (1) j's arrival is bounded by t2, (2) t2 is bounded by t1 + L, and (3) [t1, t2) is busy interval of job j.
      Local Lemma busy_prefix_is_bounded_case2:
         t2, job_arrival j < t2 t2 t1 + L busy_interval arr_seq sched j t1 t2.
    End Case2.

  End StepByStepProof.

Combining the cases analyzed above, we conclude that busy intervals of jobs released by task tsk are bounded by L.