In this paper, on the basis of the analysis of common market model and some economic theories in the cloud computing resource management process, we propose a cloud resource management model based on combinatorial double auction. In order to solve the winner determination problem (WDP) in the combinatorial double auction, a cloud resource combinatorial double auction algorithm based on genetic algorithm and simulated annealing algorithm is proposed. Simulation results reveal that the algorithm combines genetic algorithm with simulated annealing algorithm (SAGA) outperforms genetic algorithm on fitness value and stability, and as the number of bidders increase, the solution have higher fitness value can be obtained.
CITATION STYLE
Hu, B., Yao, L., Chen, Y., & Sun, Z. (2017). Cloud resource combinatorial double auction algorithm based on genetic algorithm and simulated annealing. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 199, pp. 435–445). Springer Verlag. https://doi.org/10.1007/978-3-319-60717-7_43
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