DocumentCode :
2526106
Title :
Task Scheduling Model Design Using Hybrid Genetic Algorithm
Author :
Zheng, Shijue ; Shu, Wanneng ; Dai, Shangping
Author_Institution :
Dept. of Comput. Sci., Hua Zhong Normal Univ., Wuhan
Volume :
3
fYear :
2006
fDate :
Aug. 30 2006-Sept. 1 2006
Firstpage :
316
Lastpage :
319
Abstract :
The existing globus grid environment emphasizes resources searching and marking-up, and is not so perfect in task submission and ways of scheduling, in which the way of task submission is manual; task scheduling depends on round robin method. To research into the task scheduling in grid computing, this paper puts forward a model dealing with task scheduling, designs and realizes a hybrid genetic algorithm. From the analysis and experiment results, it is concluded that this algorithm is superior to traditional algorithm and standard genetic algorithm
Keywords :
genetic algorithms; grid computing; scheduling; grid computing; hybrid genetic algorithm; resource searching; round robin method; task scheduling model design; Algorithm design and analysis; Conference management; Distributed computing; Dynamic scheduling; Genetic algorithms; Grid computing; Innovation management; Processor scheduling; Resource management; Round robin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
Type :
conf
DOI :
10.1109/ICICIC.2006.532
Filename :
1692178
Link To Document :
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