DocumentCode :
2995484
Title :
A Resource Auction Based Allocation Mechanism in the Cloud Computing Environment
Author :
Wang, Xingwei ; Sun, Jiajia ; Huang, Min ; Wu, Chuan ; Wang, Xueyi
Author_Institution :
Coll. of Inf. Sci. & Technol, Northeastern Univ., Shenyang, China
fYear :
2012
fDate :
21-25 May 2012
Firstpage :
2111
Lastpage :
2115
Abstract :
In this paper, certain microeconomic methods are introduced to solve the problem of management and allocation of resources in the cloud environment. By adding the idea of batch matching into the reverse auction, a reverse batch matching auction mechanism is proposed. Based on the auction, the strategy of twice-punishment and the pursuit of service quality can effectively prevent the occurrence of trading fraud. Three evaluation criteria, including the market efficiency, user satisfaction and service quality, are used as the optimization objectives, and the immune evolutionary algorithm is applied to find the optimal resource allocation solution. The simulation results have shown that the proposed mechanism is both feasible and effective.
Keywords :
cloud computing; evolutionary computation; microeconomics; optimisation; resource allocation; cloud computing environment; cloud environment; evaluation criteria; immune evolutionary algorithm; market efficiency; microeconomic methods; optimal resource allocation solution; optimization objectives; resource auction based allocation mechanism; resource management; reverse auction; reverse batch matching auction mechanism; service quality; trading fraud; user satisfaction; Artificial intelligence; Cloud computing; Computational modeling; Educational institutions; Evolutionary computation; Optimization; Resource management; batch matching; cloud computing; immune evolutionary algorithm; reverse auction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0974-5
Type :
conf
DOI :
10.1109/IPDPSW.2012.260
Filename :
6270570
Link To Document :
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