Prediction Performance Method for Dynamic Task Scheduling, case study: the OLLAF Architecture

Ismail Ktata (1) , Fakhreddine Ghaffari (2) , Bertrand Granado (2) , Mohamed Abid (3)

1 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes
2 ASTRE [Cergy-Pontoise]
3 CES

Actual dynamic applications, executed on real-time systems, have the tendency to be built on dynamically reconfigurable hardware devices. These applications require high performance and flexibility towards user and environment needs. To perform these application requirements, efficient mechanisms to manage hardware device must exist. In this paper we target OLLAF as a dynamically reconfigurable architecture which is designed to support complex and flexible applications. In order to deal with all of the dynamic aspects of such systems, we describe a predictive scheduling allowing an early estimation of our application dynamicity. A vision system of a mobile robot and an application of 3D synthesis images were served to validate the presented scheduling approach.

Mots clés: Dynamically Reconfigurable Architecture; OLLAF; uncertainty variation; predictive scheduling

Domaines: Systèmes embarqués

Ismail Ktata, Fakhreddine Ghaffari, Bertrand Granado, Mohamed Abid. Prediction Performance Method for Dynamic Task Scheduling, case study: the OLLAF Architecture. 5th IEEE International Design and Testing Workshop, Dec 2010, Abu Dhabi, United Arab Emirates. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5724416&contentType=Conference+Public, ⟨10.1109/IDT.2010.5724416⟩. ⟨hal-00782225⟩