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Require Export prosa.analysis.facts.model.scheduled. (** * Priority Inversion *) (** In this section, we define the notion of priority inversion for arbitrary processors. *) Section PriorityInversion. (** Consider any type of tasks ... *) Context {Task : TaskType}. (** ... 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 is oblivious to whether job [j] is ready. Therefore, it may not apply as intuitively expected in models with jitter or self-suspensions. Further generalization of the concept is likely necessary to efficiently analyze models in which jobs may be pending without being ready. *) Definition priority_inversion (t : instant) := (j \notin scheduled_jobs_at arr_seq sched t) && has (fun jlp => ~~ hep_job jlp j) (scheduled_jobs_at arr_seq sched t). (** Similarly we define priority inversion occurring only due to jobs satisfying the predicate [P]. In other words, the lower-priority job scheduled instead of [j] satisfies the predicate [P]. *) Definition priority_inversion_cond (P : pred Job) (t : instant) := (j \notin scheduled_jobs_at arr_seq sched t) && has (fun jlp => ~~ hep_job jlp j && P jlp) (scheduled_jobs_at arr_seq sched t). (** 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. *) Definition cumulative_priority_inversion (t1 t2 : instant) := \sum_(t1 <= t < t2) priority_inversion t. (** Cumulative priority inversion incurred by a job from jobs satisfying a predefined condition [P] within some time interval <<[t1, t2)>> is the total number of time instances within <<[t1, t2)>> at which job [j] incurred priority inversion due to jobs satisfying [P]. *) Definition cumulative_priority_inversion_cond (P : pred Job) (t1 t2 : instant) := \sum_(t1 <= t < t2) priority_inversion_cond P t. (** Suppose 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)]. *) Definition priority_inversion_of_job_is_bounded_by (B : duration -> duration) := forall (t1 t2 : instant), busy_interval_prefix arr_seq sched j t1 t2 -> cumulative_priority_inversion t1 t2 <= B (job_arrival j - t1). (** We define a similar notion as defined above for the priority inversion that is experienced by a job due to jobs satisfying the predicate [P]. *) Definition priority_inversion_of_job_cond_is_bounded_by (P : pred Job) (B : duration -> duration) := forall (t1 t2 : instant), busy_interval_prefix arr_seq sched j t1 t2 -> cumulative_priority_inversion_cond P t1 t2 <= B (job_arrival j - t1). End PriorityInversion. (** In this section, we define a notion of the bounded priority inversion for tasks. *) Section TaskPriorityInversionBound. (** 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 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. *) Definition priority_inversion_is_bounded_by (B : duration -> duration) := forall (j : Job), arrives_in arr_seq j -> job_of_task tsk j -> job_cost j > 0 -> priority_inversion_of_job_is_bounded_by arr_seq sched j B. (** Analogous to the above definition, we say that task [tsk] has bounded priority inversion from jobs satisfying a predicate [P] 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. *) Definition priority_inversion_cond_is_bounded_by (P: pred Job) (B : duration -> duration) := forall (j : Job), arrives_in arr_seq j -> job_of_task tsk j -> job_cost j > 0 -> priority_inversion_of_job_cond_is_bounded_by arr_seq sched j P B. End TaskPriorityInversionBound.