DocumentCode :
1823253
Title :
Scheduling tasks in real-time systems using evolutionary strategies
Author :
Greenwood, Garrison W. ; Lang, Christian ; Hurley, Steve
Author_Institution :
Dept. of Electr. & Comput. Eng., Western Michigan Univ., Kalamazoo, MI, USA
fYear :
1995
fDate :
34814
Firstpage :
195
Lastpage :
196
Abstract :
Finding feasible schedules for tasks running in hard, real-time distributed computing systems is generally NP-hard. This paper describes a heuristic algorithm using evolutionary strategies. Our results indicate that the evolutionary strategies can find feasible schedules (assuming they exist) in very short periods of time
Keywords :
computational complexity; distributed processing; real-time systems; scheduling; NP-hard; distributed computing systems; evolutionary strategies; heuristic algorithm; real-time systems; scheduling tasks; Delay; Distributed computing; Genetic mutations; Heuristic algorithms; Message passing; Multiprocessor interconnection networks; Processor scheduling; Real time systems; Scheduling algorithm; Telecommunication network reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Real-Time Systems, 1995. Proceedings of the Third Workshop on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-7099-1
Type :
conf
DOI :
10.1109/WPDRTS.1995.470487
Filename :
470487
Link To Document :
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