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

fYear

2006

fDate

Oct. 2006

Firstpage

44

Lastpage

48

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Grid and Cooperative Computing Workshops, 2006. GCCW '06. Fifth International Conference on

Conference_Location

Hunan

Print_ISBN

0-7695-2695-0

Type

conf

DOI

10.1109/GCCW.2006.7

Filename

4031527