参考文献/References:
[1] Durao F, Carvalho J F S, Fonseka A, et al. A systematic review on cloud computing[J]. The Journal of Supercomputing, 2014, 68(3): 1321-1346.
[2] 陈康,郑维民.云计算:系统实例与研究现状[J].软件学报,2009,20(5):1337-1348.
Chen Kang, Zheng Weimin. Cloud computing: system instances and current research[J]. Journal of Software, 2009, 20(5): 1337-1348.(in Chinese)
[3] Lin Weiyu, Lin Guanyu, Wei Hungyu. Dynamic auction mechanism for cloud resource allocation[C]// Proceeding of the 10th IEEE/ACM Conference on Cluster, Cloud, and Grid Computing. Piscataway, USA: IEEE Computer Society, 2010: 591-592.
[4] Shang Shifeng, Jiang Jinlei, Wu Yongwei, et al. DABGPM: a double auction Bayesian game-based pricing model in cloud market[C]// Proceeding of the IFIP International Conference on Network and Parallel Computing. Heidelberg, Germany: Springer-Verlag, 2010: 155-164.
[5] Sun Dawei, Chang Guiran, Wang Chuan, et al. Efficient Nash equilibrium based cloud resource allocation by using a continuous double auction[C]// Proceeding of the International Conference on Computer Design and Applications. Piscataway, USA: IEEE Computer Society, 2010: 94-99.
[6] Zaman S, Grosu D. Combinatorial auction-based allocation of virtual machine instances in clouds[J]. Journal of Parallel and Distributed Computing, 2013, 73(4): 495-508.
[7] 胡志刚,刘艳.云环境下基于组合双向拍卖的动态资源定价[J].计算机工程,2012,38(8):19-21.
Hu Zhigang, Liu Yan. Dynamic resource pricing based on combinatorial double auction in cloud environment[J]. Computer Engineering, 2012, 38(8): 19-21.(in Chinese)
[8] 丁丁,罗四维,艾丽华.基于双向拍卖的适应性云计算资源分配机制[J].通信学报,2012,33(Z1):132-140.
Ding Ding, Luo Siwei, Ai Lihua. Adaptive double auction mechanism for cloud resource allocation[J]. Journal on Communications, 2012, 33(Z1): 132-140.(in Chinese)
[9] Zhu Q, Agrawal G. Resource provisioning with budget constraints for adaptive applications in cloud environments[J]. IEEE Transactions on Services Computing, 2012, 5(4): 497-511.
[10] Harman M, Mansouri S A, Zhang Y. Search-based software engineering: trends, techniques and applications[J]. ACM Computing Surveys, 2012, 45(1): 11-61.
[11] 王鹏.云计算的关键技术与应用实例[M].北京:人民邮电出版社,2010:168-174.
Wang Peng. The key technology of cloud computing and applications[M]. Beijing: Posts & Telecom Press, 2010: 168-174.(in Chinese)
[12] Shi Xuelin, Xu Ke. Utility maximization model of virtual machine scheduling in cloud environment[J]. Chinese Journal of Computers, 2013, 36(2): 252-262.
[13] 赵秀涛,张斌,张长胜.一种基于服务选取的SBS云资源优化分配方法[J].软件学报,2015,26(4):867-885.
Zhao Xiutao, Zhang Bin, Zhang Changsheng. Service selection based on resource allocation for SBS in cloud environments[J]. Journal of Software, 2015, 26(4): 867-885.(in Chinese)
[14] Shi Y, Eberhart R C. A modified particle swarm optimizer[C]// IEEE International Conference on Evolutionary Computation Proceedings. Piscataway, USA: IEEE, 1998: 69-73.
[15] 王赞,樊向宇,邹雨果,等.一种基于遗传算法的多缺陷定位方法[J].软件学报,2016,27(4):879-900.
Wang Zan, Fan Xiangyu, Zou Yuguo, et al. Genetic algorithm based multiple faults localization technique[J]. Journal of Software, 2016, 27(4): 879-900.(in Chinese)
[16] 刘全,王晓燕,傅启明,等.双精英协调进化遗传算法[J].软件学报,2012,23(4):765-775.
Liu Quan, Wang Xiaoyan, Fu Qiming, et al. Double elite coevolutionary genetic algorithm[J]. Journal of Software, 2012, 23(4): 765-775.(in Chinese)
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