Title :
A Job Assignment Method Based on Auction Model and Genetic Algorithm for Grid Computing
Author :
Wang, Xingwei ; Liu, Jinghong ; Ren, Wei ; Huang, Min ; Gao, Nan
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
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
Keywords :
genetic algorithms; grid computing; pricing; resource allocation; auction model; genetic algorithm; genetic engineering knowledge; grid computing; microeconomics; optimal job assignment; resource buyer; resource provider; resource trading price; Computational modeling; Costs; Educational institutions; Genetic algorithms; Genetic engineering; Geographic Information Systems; Grid computing; Information science; Knowledge engineering; Microeconomics;
Conference_Titel :
Grid and Cooperative Computing Workshops, 2006. GCCW '06. Fifth International Conference on
Conference_Location :
Hunan
Print_ISBN :
0-7695-2695-0
DOI :
10.1109/GCCW.2006.7
