Library prosa.analysis.definitions.priority_inversion

Priority Inversion

In this section, we define the notion of priority inversion for arbitrary processors.
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}.

Next, consider any kind of processor state model, ...
  Context {PState : ProcessorState Job}.

... any arrival sequence, ...
  Variable arr_seq : arrival_sequence Job.

... and any schedule.
  Variable sched : schedule PState.

Assume a given JLFP policy.
  Context `{JLFP_policy Job}.

Consider an arbitrary job.
  Variable j : Job.

We say that the job incurs priority inversion if it has higher priority than the scheduled job. Note that this definition implicitly assumes that the scheduler is work-conserving. Therefore, it cannot be applied to models with jitter or self-suspensions.
  Definition priority_inversion (t : instant) :=
    ~~ scheduled_at sched j t
       jlp,
        scheduled_at sched jlp t && ~~ hep_job jlp j.

Similarly, we define a decidable counterpart of priority_inversion.
  Definition priority_inversion_dec (t : instant) :=
    ~~ scheduled_at sched j t &&
      has (fun jlpscheduled_at sched jlp t && ~~ hep_job jlp j)
          (arrivals_before arr_seq t.+1).

In the following short section we show that the propositional and computational versions of priority_inversion are equivalent.
We assume that all jobs come from the arrival sequence and do not execute before their arrival nor after completion.
Then the propositional and computational versions of priority_inversion are equivalent.
Similarly, we prove that the negated counterparts are also equivalent.
Cumulative priority inversion incurred by a job within some time interval [t1, t2) is the total number of time instances within [t1,t2) at which job j incurred priority inversion.
We say that the priority inversion experienced by a job j is bounded by a constant B if the cumulative priority inversion within any busy interval prefix is bounded by B.
More generally, if the priority inversion experienced by job j depends on its relative arrival time w.r.t. the beginning of its busy interval at a time t1, we say that the priority inversion of job j is bounded by a function B : duration duration if the cumulative priority inversion within any busy interval prefix is bounded by B (job_arrival j - t1)
In this section, we define a notion of the bounded priority inversion for tasks.
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}.

Next, consider any kind of processor state model, ...
  Context {PState : ProcessorState Job}.

... any arrival sequence, ...
  Variable arr_seq : arrival_sequence Job.

... and any schedule.
  Variable sched : schedule PState.

Assume a given JLFP policy.
  Context `{JLFP_policy Job}.

Consider an arbitrary task tsk.
  Variable tsk : Task.

We say that priority inversion of task tsk is bounded by a constant B if all jobs released by the task have cumulative priority inversion bounded by B.
  Definition priority_inversion_is_bounded_by_constant (B : duration) :=
     (j : Job),
      arrives_in arr_seq j
      job_of_task tsk j
      job_cost j > 0
      priority_inversion_of_job_is_bounded_by_constant arr_seq sched j B.

We say that task tsk has bounded priority inversion if all its jobs have bounded cumulative priority inversion that depends on its relative arrival time w.r.t. the beginning of the busy interval.