Library prosa.results.rs.edf.fully_nonpreemptive

RTA for Fully Non-Preemptive EDF Scheduling on Restricted-Supply Uniprocessors

In the following, we derive a response-time analysis for EDF schedulers, assuming a workload of sporadic real-time tasks characterized by arbitrary arrival curves executing upon a uniprocessor with arbitrary supply restrictions. To this end, we instantiate the abstract Sequential Restricted-Supply Response-Time Analysis (aRSA) as provided in the prosa.analysis.abstract.restricted_supply module.

Defining the System Model

Before any formal claims can be stated, an initial setup is needed to define the system model under consideration. To this end, we next introduce and define the following notions using Prosa's standard definitions and behavioral semantics:
  • processor model,
  • tasks, jobs, and their parameters,
  • the sequence of job arrivals,
  • worst-case execution time (WCET) and the absence of self-suspensions,
  • the set of tasks under analysis,
  • the task under analysis, and, finally,
  • an arbitrary schedule of the task set.

Processor Model

Consider a restricted-supply uniprocessor model, ...
  #[local] Existing Instance rs_processor_state.

... where the minimum amount of supply is lower-bounded via a monotone unit-supply-bound function SBF.
  Context {SBF : SupplyBoundFunction}.
  Hypothesis H_SBF_monotone : sbf_is_monotone SBF.
  Hypothesis H_unit_SBF : unit_supply_bound_function SBF.

Tasks and Jobs

Consider any type of tasks, each characterized by a WCET task_cost, relative deadline task_deadline, and an arrival curve max_arrivals, ...
  Context {Task : TaskType}.
  Context `{TaskCost Task}.
  Context `{TaskDeadline Task}.
  Context `{MaxArrivals Task}.

... and any type of jobs associated with these tasks, where each job has a task job_task, a cost job_cost, and an arrival time job_arrival.
  Context {Job : JobType}.
  Context `{JobTask Job Task}.
  Context `{JobCost Job}.
  Context `{JobArrival Job}.

Furthermore, assume that jobs and tasks are fully non-preemptive.
  #[local] Existing Instance fully_nonpreemptive_job_model.
  #[local] Existing Instance fully_nonpreemptive_task_model.
  #[local] Existing Instance fully_nonpreemptive_rtc_threshold.

The Job Arrival Sequence

Consider any arrival sequence arr_seq with consistent, non-duplicate arrivals.

Absence of Self-Suspensions and WCET Compliance

We assume the classic (i.e., Liu & Layland) model of readiness without jitter or self-suspensions, wherein pending jobs are always ready.
  #[local] Existing Instance basic_ready_instance.

We further require that a job's cost cannot exceed its task's stated WCET.

The Task Set

We consider an arbitrary task set ts ...
  Variable ts : seq Task.

... and assume that all jobs stem from tasks in this task set.
We assume that max_arrivals is a family of valid arrival curves that constrains the arrival sequence arr_seq, i.e., for any task tsk in ts, max_arrival tsk is (1) an arrival bound of tsk, and ...
... (2) a monotonic function that equals 0 for the empty interval delta = 0.

The Task Under Analysis

Let tsk be any task in ts that is to be analyzed.
  Variable tsk : Task.
  Hypothesis H_tsk_in_ts : tsk \in ts.

The Schedule

Finally, consider any non-preemptive, work-conserving, valid restricted-supply uni-processor schedule of the given arrival sequence arr_seq (and hence the given task set ts) ...
... and assume that the schedule respects the EDF policy.
Last but not least, we assume that SBF properly characterizes all busy intervals (w.r.t. task tsk) in sched. That is, (1) SBF 0 = 0 and (2) for any duration Δ, at least SBF Δ supply is available in any busy-interval prefix of length Δ.

Workload Abbreviation

For brevity, let's denote the relative deadline of a task as D.
  Let D tsk := task_deadline tsk.

We introduce task_rbf as an abbreviation for the task request bound function of task tsk.

Length of Busy Interval

The next step is to establish a bound on the maximum busy-window length, which aRTA requires to be given.
To this end, let L be any positive constant such that ...
  Variable L : duration.
  Hypothesis H_L_positive : 0 < L.

... L satisfies a fixed-point recurrence for the busy-interval-length bound (i.e., total_RBF ts L SBF L ...
... and SBF L bounds longest_busy_interval_with_pi ts tsk.

Response-Time Bound

Having established all necessary preliminaries, it is finally time to state the claimed response-time bound R.
A value R is a response-time bound if, for any given offset A in the search space, the response-time bound recurrence has a solution F not exceeding R.
  Variable R : duration.
  Hypothesis H_R_is_maximum :
     (A : duration),
      is_in_search_space ts tsk L A
       (F : duration),
        A F A + R
         blocking_bound ts tsk A
          + (task_rbf (A + ε) - (task_cost tsk - ε))
          + bound_on_athep_workload ts tsk A F
           SBF F
         SBF F + (task_cost tsk - ε) SBF (A + R).

Finally, using the sequential variant of abstract restricted-supply analysis, we establish that any such R is a sound response-time bound for the concrete model of fully-nonpreemptive EDF scheduling with arbitrary supply restrictions.