DocumentCode :
3349920
Title :
The optimal allocation model of computing resources in cloud manufacturing system
Author :
Yuanjun Laili ; Fei Tao ; Lin Zhang ; Lei Ren
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
Volume :
4
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
2322
Lastpage :
2326
Abstract :
Recently, a new advanced service-oriented networked manufacturing model: Cloud Manufacturing (CMfg) has been proposed. The optimal allocation of computing resources (OACR) for the whole life-circle of manufacturing is an important part of CMfg. In order to implement optimal allocation, A new model for the computing resources and manufacturing tasks in CMfg is presented in this study, in which both the computation and communication factors are considered, and the formalized description on their dynamic process is given out. Primary constraints were introduced and the optimal objective of the model was proposed. Then the standard genetic algorithm (GA) was introduced to OACR. Experiments illustrated the effect of the constraints on the model and the application of GA on this problem.
Keywords :
cloud computing; genetic algorithms; service-oriented architecture; CMfg; GA; cloud manufacturing system; computing resources; formalized description; genetic algorithm; optimal allocation model; service-oriented networked manufacturing model; Computational modeling; Genetic algorithms; Job shop scheduling; Manufacturing; Processor scheduling; Random access memory; Resource management; cloud manufacturing (CMfg); computing resources; manufacturing tasks; optimal allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022564
Filename :
6022564
Link To Document :
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