DocumentCode
2550769
Title
A resource allocation method based on the limited English combinatorial auction under cloud computing environment
Author
Wang Xing-Wei ; Wang Xue-yi ; Huang Min
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2012
fDate
29-31 May 2012
Firstpage
905
Lastpage
909
Abstract
On account of the resource characteristics under cloud computing environment and the flexibility and availability of applying economic mechanism to resource allocation, a resource allocation model based on the limited English combinatorial auction under cloud computing environment is advanced. An improved periodical auction model is constructed, and then ribbon capacity is adopted to describe the special storage capacity for special users. Based on the above, the resource trading price between resource buyers and resource providers is determined based on the limited English combinatorial auction model. In the end, the optimal resource allocation solution is pursued based on genetic algorithm. Simulation results have shown that the proposed model is both feasible and effective, which can maximize the seller total trading amounts as well as reduce the executing time of winner determination.
Keywords
cloud computing; electronic commerce; genetic algorithms; pricing; resource allocation; cloud computing environment; economic mechanism; genetic algorithm; limited English combinatorial auction; periodical auction model; resource allocation method; resource buyers; resource characteristics; resource providers; resource trading price; ribbon capacity; seller total trading amount maximization; special storage capacity; winner determination; Biological cells; Cloud computing; Computational modeling; Educational institutions; Genetic algorithms; Optimization; Resource management; cloud computing; genetic algorithm; limited English combinatorial auction; resource allocation; ribbon capacity;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6234231
Filename
6234231
Link To Document