DocumentCode :
2222110
Title :
The improved EDF scheduling algorithm for embedded real-time system in the uncertain environment
Author :
Li, Xiaojie ; He, Xianbo
Author_Institution :
Coll. of Comput. Sci., China West Normal Univ., Nanchong, China
Volume :
4
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
Most of real-time task scheduling algorithm of embedded real-time systems are based on the worst time for the implementation of scheduling, which will be a waste of resources. Aiming at network system for real-time multimedia application requirements and the current scheduling algorithm lack of real-time performance(ability), this paper analyzes the typical dynamic EDF(Eealiest Deadline First) scheduling algorithm for embedded real-time system, establishes a periodic task set model and presents an improved EDF scheduling algorithm based on the model. Through theoretical analysis and simulation results, in the non-overload case, the algorithm can achieve the EDF scheduling algorithm considerable performance, and mean switching number among tasks is less than the EDF algorithm; in overload case, compared with the EDF algorithm, it has more better scheduling performance, which can effectively guarantee the scheduling success of the high-priority task; finally, this verifys the effectiveness of the improved EDF scheduling algorithm.
Keywords :
embedded systems; multimedia computing; scheduling; task analysis; EDF scheduling algorithm; earliest deadline first; embedded real-time system; network system; real-time multimedia application requirement; real-time task scheduling algorithm; uncertain environment; Algorithm design and analysis; Processor scheduling; Scheduling; Switches; EDF algorithm; deadline missing ratio; embedded real-time system; overload;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579295
Filename :
5579295
Link To Document :
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