Novel Approach for Modeling Very Dynamic and Flexible Real Time Applications

Autor: ISMAIL KTATA, Ghaffari, F., Granado, B., Abid, M.
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), KTATA, ISMAIL
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Zdroj: Proceedings of the 5th International Workshop on Reconfigurable Communication-centric Systems on Chip 2010
5th International Workshop on Reconfigurable Communication-centric Systems on Chip
5th International Workshop on Reconfigurable Communication-centric Systems on Chip, May 2010, Karlsruhe, Germany. http://www2.lirmm.fr/recosoc2010/index.php?sec=cp
Scopus-Elsevier
Popis: International audience; Modeling techniques are used to solve a variety of practical problems related to processing and scheduling in several domains like manufacturing and embedded systems. In such flexible and dynamic environments, there are complex constraints and a variety of unexpected disruptions. Hence, scheduling remains a complex and time-consuming process and the need for accurate models for optimizing this process is increasing. This paper deals with dynamically reconfigurable architectures which are designed to support complex and flexible applications. It focuses on defining a solution approach for modeling such applications where there is significant uncertainty in the duration, resource requirements and number of tasks to be executed.
Databáze: OpenAIRE
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