Library prosa.analysis.facts.model.arrival_curves

Require Export prosa.util.epsilon.
Require Export prosa.model.task.arrival.curves.
Require Export prosa.analysis.facts.model.task_arrivals.

Facts About Arrival Curves

We observe that tasks that exhibit job arrivals must have non-pathological arrival curves. This allows excluding pathological cases in higher-level proofs.
Section NonPathologicalCurve.

Consider any kind of tasks characterized by an upper-bounding arrival curve...
  Context {Task : TaskType} `{MaxArrivals Task}.
... and the corresponding type of jobs.
  Context {Job : JobType} `{JobTask Job Task}.

Consider an arbitrary task ...
  Variable tsk : Task.

... and an arrival sequence ...
  Variable arr_seq : arrival_sequence Job.

... that is compliant with the upper-bounding arrival curve.
  Hypothesis H_curve_is_valid : respects_max_arrivals arr_seq tsk (max_arrivals tsk).

If we have evidence that a job of the task tsk ...
  Variable j : Job.
  Hypothesis H_job_of_tsk : job_of_task tsk j.

... arrives at any point in time, ...
  Hypothesis H_arrives : arrives_in arr_seq j.

... then the maximum number of job arrivals in a non-empty interval cannot be zero.
  Lemma non_pathological_max_arrivals :
    max_arrivals tsk ε > 0.

End NonPathologicalCurve.

We add the above lemma to the global hints database.
Global Hint Resolve non_pathological_max_arrivals : basic_rt_facts.