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An abstraction-refinement framework for priority-driven scheduling of static dataflow graphs

Adnan Bouakaz 1 Thierry Gautier 2
1 ESPRESSO - Synchronous programming for the trusted component-based engineering of embedded systems and mission-critical systems
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 TEA - Tim, Events and Architectures
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
Abstract : Static dataflow graphs are widely used to model concurrent real-time streaming applications. Though the state of the art usually advocates static-periodic scheduling of dataflow graphs over dynamic scheduling, the interest in dynamic (for instance, priority-driven) scheduling of dataflow graphs has been rekindled by the increasing use of virtualization technology and real-time operating systems to manage concurrent independent applications running on the same platform. This paper presents a sequence-based framework in which a large class of priority-driven schedules of dataflow graphs can be uniformly expressed and analyzed. Constructed schedules should be buffer-safe (i.e. no overflow/underflow exceptions over communication channels) even in the worst-case admission scenario of incoming applications and tasks. In addition, and to our knowledge for the first time, the paper formulates this scheduling theory in abstraction-refinement framework, to allow for the construction of feasible and buffer-safe priority-driven schedules based on mathematically sound approximations of physical time in priority-driven schedules.
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Contributor : Adnan Bouakaz <>
Submitted on : Thursday, November 27, 2014 - 3:35:57 PM
Last modification on : Friday, July 10, 2020 - 4:26:19 PM



Adnan Bouakaz, Thierry Gautier. An abstraction-refinement framework for priority-driven scheduling of static dataflow graphs. International Conference on Formal Methods and Models for System Design, Oct 2014, Lausanne, Switzerland. ⟨10.1109/MEMCOD.2014.6961838⟩. ⟨hal-01088205⟩



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