A Job Assignment Method Based on Auction Model and Genetic Algorithm for Grid Computing

Hunan, China October 21-October 23

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http://doi.ieeecomputersociety.org/10.1109/GCCW.2006.7

Fifth International Conference on Gri ...

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	ASCII Text	x
	Xingwei Wang, Jinghong Liu, Wei Ren, Min Huang, Nan Gao, "A Job Assignment Method Based on Auction Model and Genetic Algorithm for Grid Computing," Grid and Cooperative Computing Workshops, International Conference on, pp. 44-48, Fifth International Conference on Grid and Cooperative Computing Workshops, 2006.

	BibTex	x
	@article{ 10.1109/GCCW.2006.7, author = {Xingwei Wang and Jinghong Liu and Wei Ren and Min Huang and Nan Gao}, title = {A Job Assignment Method Based on Auction Model and Genetic Algorithm for Grid Computing}, journal ={Grid and Cooperative Computing Workshops, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2695-0}, pages = {44-48}, doi = {http://doi.ieeecomputersociety.org/10.1109/GCCW.2006.7}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Grid and Cooperative Computing Workshops, International Conference on TI - A Job Assignment Method Based on Auction Model and Genetic Algorithm for Grid Computing SN - 0-7695-2695-0 SP44 EP48 A1 - Xingwei Wang, A1 - Jinghong Liu, A1 - Wei Ren, A1 - Min Huang, A1 - Nan Gao, PY - 2006 KW - null VL - 0 JA - Grid and Cooperative Computing Workshops, International Conference on ER -

Xingwei Wang, Northeastern University, China

Jinghong Liu, Northeastern University, China

Wei Ren, Northeastern University, China

Min Huang, Northeastern University, China

Nan Gao, Northeastern University, China

In this paper, with introduction of microeconomics and genetic engineering knowledge, a job assignment method for grid computing is proposed, considering both time limit and cost simultaneously. It determines resource trading price between resource buyer and resource provider based on auction model, and then finds the optimal job assignment solution based on genetic algorithm. Simulation results have shown that the proposed method is both feasible and effective.

Citation:

Xingwei Wang, Jinghong Liu, Wei Ren, Min Huang, Nan Gao, "A Job Assignment Method Based on Auction Model and Genetic Algorithm for Grid Computing," gccw, pp.44-48, Fifth International Conference on Grid and Cooperative Computing Workshops, 2006

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