Prediction performance method for dynamic task scheduling, case study: the OLLAF Architecture
| Autor: | Ismail Ktata, Bertrand Granado, Mohamed Abid, Fakhreddine Ghaffari |
|---|---|
| Přispěvatelé: | Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), ASTRE [Cergy-Pontoise], Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), CES, Département de Génie Électrique de Sfax [ENIS] (CEM Lab - ENIS), École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS)-École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS) |
| Rok vydání: | 2010 |
| Předmět: |
OLLAF
predictive scheduling 021103 operations research Job shop scheduling Computer science business.industry Machine vision Distributed computing 0211 other engineering and technologies Mobile robot uncertainty variation 02 engineering and technology Dynamic priority scheduling Reconfigurable computing 020202 computer hardware & architecture Scheduling (computing) Dynamically Reconfigurable Architecture Logic gate Embedded system 0202 electrical engineering electronic engineering information engineering [INFO.INFO-ES]Computer Science [cs]/Embedded Systems Architecture business |
| Zdroj: | IDT Proceedings of the 5th IEEE International Design and Testing Workshop 2010 5th IEEE International Design and Testing Workshop 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⟩ |
| DOI: | 10.1109/idt.2010.5724416 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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