Dynamic Application Model for Scheduling with Uncertainty on Reconfigurable Architectures

Applications executed on embedded systems require dynamicity and flexibility according to user and environment needs. Dynamically reconfigurable architecture could satisfy these requirements but needs efficient mechanisms to be managed efficiently. In this paper, we propose a dedicated application m...

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Main Authors: Ismail Ktata, Fakhreddine Ghaffari, Bertrand Granado, Mohamed Abid
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:International Journal of Reconfigurable Computing
Online Access:http://dx.doi.org/10.1155/2011/156946
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author Ismail Ktata
Fakhreddine Ghaffari
Bertrand Granado
Mohamed Abid
author_facet Ismail Ktata
Fakhreddine Ghaffari
Bertrand Granado
Mohamed Abid
author_sort Ismail Ktata
collection DOAJ
description Applications executed on embedded systems require dynamicity and flexibility according to user and environment needs. Dynamically reconfigurable architecture could satisfy these requirements but needs efficient mechanisms to be managed efficiently. In this paper, we propose a dedicated application modeling technique that helps to establish a predictive scheduling approach to manage a dynamically reconfigurable architecture named OLLAF. OLLAF is designed to support an operating system that deals with complex embedded applications. This model will be used for a predictive scheduling based on an early estimation of our application dynamicity. A vision system of a mobile robot application has been used to validate the presented model and scheduling approach. We have demonstrated that with our modeling we can realize an efficient predictive scheduling on a robot vision application with a mean error of 6.5%.
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institution Kabale University
issn 1687-7195
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publishDate 2011-01-01
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series International Journal of Reconfigurable Computing
spelling doaj-art-f530e92ed3d34b43b431baa8be1a18352025-02-03T05:58:20ZengWileyInternational Journal of Reconfigurable Computing1687-71951687-72092011-01-01201110.1155/2011/156946156946Dynamic Application Model for Scheduling with Uncertainty on Reconfigurable ArchitecturesIsmail Ktata0Fakhreddine Ghaffari1Bertrand Granado2Mohamed Abid3ETIS Laboratory, CNRS UMR8051, University of Cergy-Pontoise, ENSEA, 6 avenue du Ponceau 95014 Cergy-Pontoise, FranceETIS Laboratory, CNRS UMR8051, University of Cergy-Pontoise, ENSEA, 6 avenue du Ponceau 95014 Cergy-Pontoise, FranceETIS Laboratory, CNRS UMR8051, University of Cergy-Pontoise, ENSEA, 6 avenue du Ponceau 95014 Cergy-Pontoise, FranceComputer & Embedded Systems Laboratory (CES), University of Sfax, ENIS, 3038 Sfax, TunisiaApplications executed on embedded systems require dynamicity and flexibility according to user and environment needs. Dynamically reconfigurable architecture could satisfy these requirements but needs efficient mechanisms to be managed efficiently. In this paper, we propose a dedicated application modeling technique that helps to establish a predictive scheduling approach to manage a dynamically reconfigurable architecture named OLLAF. OLLAF is designed to support an operating system that deals with complex embedded applications. This model will be used for a predictive scheduling based on an early estimation of our application dynamicity. A vision system of a mobile robot application has been used to validate the presented model and scheduling approach. We have demonstrated that with our modeling we can realize an efficient predictive scheduling on a robot vision application with a mean error of 6.5%.http://dx.doi.org/10.1155/2011/156946
spellingShingle Ismail Ktata
Fakhreddine Ghaffari
Bertrand Granado
Mohamed Abid
Dynamic Application Model for Scheduling with Uncertainty on Reconfigurable Architectures
International Journal of Reconfigurable Computing
title Dynamic Application Model for Scheduling with Uncertainty on Reconfigurable Architectures
title_full Dynamic Application Model for Scheduling with Uncertainty on Reconfigurable Architectures
title_fullStr Dynamic Application Model for Scheduling with Uncertainty on Reconfigurable Architectures
title_full_unstemmed Dynamic Application Model for Scheduling with Uncertainty on Reconfigurable Architectures
title_short Dynamic Application Model for Scheduling with Uncertainty on Reconfigurable Architectures
title_sort dynamic application model for scheduling with uncertainty on reconfigurable architectures
url http://dx.doi.org/10.1155/2011/156946
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