InforLorV4, Hal, Corpus, bibRecord, 000121

A Component-Based Framework for Modeling and Analyzing Probabilistic Real-Time Systems

Identifieur interne : 000121 ( Hal/Corpus ); précédent : 000120; suivant : 000122

A Component-Based Framework for Modeling and Analyzing Probabilistic Real-Time Systems

Auteurs : Luca Santinelli ; Patrick Meumeu Yomsi ; Dorin Maxim ; Liliana Cucu-Grosjean

Source :

RBID : Hal:hal-00646582

Abstract

A challenging research issue of analyzing a real-time system is to model the tasks composing the system and the resource provided to the system. In this paper, we propose a probabilistic component-based model which abstracts in the interfaces both the functional and non-functional requirements of such systems. This approach allows designers to unify in the same framework probabilistic scheduling techniques and compositional guarantees that go from soft to hard real-time. We provide sufficient schedulability tests for task systems using such framework when the scheduler is either preemptive Fixed-Priority or Earliest Deadline First.

Url:

https://hal.inria.fr/hal-00646582

Links to Exploration step

Hal:hal-00646582

Le document en format XML

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A Component-Based Framework for Modeling and Analyzing Probabilistic Real-Time Systems

A Component-Based Framework for Modeling and Analyzing Probabilistic Real-Time Systems

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