DocumentCode :
3680999
Title :
The Application of Genetic Algorithm in Task Scheduling
Author :
Xiaoyan Chen;Kun Zhang;Zhuang Li;Haifeng Wang
Author_Institution :
Electron. &
fYear :
2015
Firstpage :
332
Lastpage :
334
Abstract :
Genetic algorithm has better global search ability, so has a wide application prospect in scientific research. In this paper, the improved genetic algorithm is applied to the cloud task scheduling, through simulation experiment on the CloudSim platform, the results show that application of genetic algorithm in task scheduling, the average waiting time is shorter and scheduling costs required lower than no use of the genetic algorithm.
Keywords :
"Cloud computing","Genetic algorithms","Processor scheduling","Virtual machining","Job shop scheduling","Algorithm design and analysis"
Publisher :
ieee
Conference_Titel :
Network and Information Systems for Computers (ICNISC), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICNISC.2015.102
Filename :
7311898
Link To Document :
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