DocumentCode
3389702
Title
Genetic simulated annealing algorithm for task scheduling based on cloud computing environment
Author
Gan, Guo-Ning ; Huang, Ting-Iei ; Gao, Shuai
Author_Institution
Sch. of Comput. Sci. & Eng., Guilin Univ. of Electron. Technol., Guilin, China
fYear
2010
fDate
22-24 Oct. 2010
Firstpage
60
Lastpage
63
Abstract
Scheduling is a very important part of the cloud computing system. This paper introduces an optimized algorithm for task scheduling based on genetic simulated annealing algorithm in cloud computing and its implementation. Algorithm considers the QOS requirements of different type tasks, the QOS parameters are dealt with dimensionless. The algorithm efficiently completes tasks scheduling in the cloud computing environment computing.
Keywords
Internet; genetic algorithms; quality of service; scheduling; simulated annealing; QOS; cloud computing; genetic algorithm; optimized algorithm; simulated annealing; task scheduling; Annealing; Clouds; Computers; Gallium nitride; QOS; cloud computing; genetic simulated annealing algorithm; task scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-4244-6834-8
Type
conf
DOI
10.1109/ICISS.2010.5655013
Filename
5655013
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