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Fifth International Conference on Grid and Cooperative Computing Workshops
A Job Assignment Method Based on Auction Model and Genetic Algorithm for Grid Computing
Hunan, China
October 21-October 23
ISBN: 0-7695-2695-0
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
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@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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