Library prosa.analysis.facts.readiness.sequential

In this section, we show some useful properties of the sequential task readiness model.
Consider any type of job associated with any type of tasks ...
  Context {Job : JobType}.
  Context {Task : TaskType}.
  Context `{JobTask Job Task}.
  Context `{JobArrival Job}.
  Context `{JobCost Job}.

... and any kind of processor state.
  Context {PState : ProcessorState Job}.

Consider any arrival sequence with consistent arrivals.
Assume a basic sequential readiness model, wherein a pending job is ready exactly when all prior jobs from the same task have completed.
First, we observe that the sequential readiness model indeed lives up to its name.
Consider any valid schedule of arr_seq.
  Variable sched : schedule PState.
  Hypothesis H_valid_schedule : valid_schedule sched arr_seq.

Consider an FP policy that indicates a reflexive higher-or-equal priority relation.
We show that a sequential readiness model is non-clairvoyant.
Next, we show that the sequential readiness model ensures that tasks are sequential. That is, that jobs of the same task execute in order of their arrival.
Finally, we show that the sequential readiness model is a work-bearing readiness model. That is, if a job j is pending but not ready at a time instant t, then there exists another (earlier) job of the same task that is pending and ready at time t.