DocumentCode :
1959727
Title :
Efficient performance estimation for general real-time task systems
Author :
Hongchao Liu ; Xiaobo Hu
Author_Institution :
Dept. of Comput. Sci. & Eng., Notre Dame Univ., IN, USA
fYear :
2001
fDate :
4-8 Nov. 2001
Firstpage :
464
Lastpage :
470
Abstract :
The paper presents a novel approach to compute tight upper bounds on the processor utilization independent of the implementation for general real-time systems where tasks are composed of subtasks and precedence constraints may exist among subtasks of the same task. We formulate the problem as a set of linear programming (LP) problems. Observations are made to reduce the number of LP problem instances required to be solved, which greatly improves the computation time of the utilization bounds. Furthermore, additional constraints are allowed to be included under certain circumstances to improve the quality of the bounds.
Keywords :
directed graphs; linear programming; performance evaluation; processor scheduling; real-time systems; bound computation; computation time; general real-time task systems; linear programming problems; precedence constraints; processor utilization; upper bounds; utilizatoin bounds; Computer science; Failure analysis; Linear programming; Process design; Processor scheduling; Real time systems; System-level design; System-on-a-chip; Timing; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Aided Design, 2001. ICCAD 2001. IEEE/ACM International Conference on
Conference_Location :
San Jose, CA, USA
ISSN :
1092-3152
Print_ISBN :
0-7803-7247-6
Type :
conf
DOI :
10.1109/ICCAD.2001.968681
Filename :
968681
Link To Document :
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