DocumentCode :
2663929
Title :
Prediction performance method for dynamic task scheduling, case study: the OLLAF Architecture
Author :
Ktata, Ismail ; Ghaffari, Fakhreddine ; Granado, Bertrand ; Abid, Mohamed
Author_Institution :
ETIS Lab., Univ. of Cergy-Pontoise, Cergy-Pontoise, France
fYear :
2010
fDate :
14-15 Dec. 2010
Firstpage :
97
Lastpage :
102
Abstract :
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.
Keywords :
computer vision; embedded systems; logic circuits; reconfigurable architectures; 3D synthesis image; OLLAF architecture; dynamic task scheduling; dynamically reconfigurable architecture; mobile robot; prediction performance method; vision system; Dynamic scheduling; Hardware; Job shop scheduling; Real time systems; Schedules; Uncertainty; Dynamically Reconfigurable Architecture; OLLAF; predictive scheduling; uncertainty variation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design and Test Workshop (IDT), 2010 5th International
Conference_Location :
Abu Dhabi
Print_ISBN :
978-1-61284-291-2
Electronic_ISBN :
978-1-61284-290-5
Type :
conf
DOI :
10.1109/IDT.2010.5724416
Filename :
5724416
Link To Document :
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