DocumentCode :
1288035
Title :
Low complexity dynamic scheduling algorithm for real-time tasks
Author :
Jung, G. ; Kim, T. ; Park, S. ; Choi, K.
Author_Institution :
Dept. of Electron. Eng., Ajou Univ., Suwon, South Korea
Volume :
35
Issue :
24
fYear :
1999
fDate :
11/25/1999 12:00:00 AM
Firstpage :
2106
Lastpage :
2108
Abstract :
It is shown that the problem of maximising the total reward of online tasks can be solved by finding the minimum of the maximum derivatives of the reward functions. Based on the modified approach and a close observation of task arrival characteristics, a heuristic algorithm with average complexity close to O(N) is presented
Keywords :
computational complexity; processor scheduling; real-time systems; average complexity; dynamic scheduling algorithm; heuristic algorithm; maximum derivatives; online tasks; real-time tasks; reward functions; task arrival characteristics;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19991417
Filename :
815922
Link To Document :
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