DABGPM: A Double Auction Bayesian Game-based Pricing Model in Cloud Market

Abstract : Recently IT giants such as Google, Amazon, Microsoft, and IBM are gearing up to be a part of the Cloud and begin to sell their cloud services. However, the current market trading mechanism is inflexible, and the price is not reasonable enough in some situation. Therefore, we first propose a cloud market framework for people to build a uniform and fully competitive cloud market where users can buy resources from different companies and exchange their idle resources in a more flexible way. Then we define a double auction Bayesian Game-based pricing model (DABGPM) for the suggested cloud market and discuss how to develop an optimal pricing strategy for this model. Our work, we think, makes a good example of more flexible and more reasonable cloud resources trading.
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Communication dans un congrès
Chen Ding; Zhiyuan Shao; Ran Zheng. IFIP International Conference on Network and Parallel Computing (NPC), Sep 2010, Zhengzhou, China. Springer, Lecture Notes in Computer Science, LNCS-6289, pp.155-164, 2010, Network and Parallel Computing. 〈10.1007/978-3-642-15672-4_14〉
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Shifeng Shang, Jinlei Jiang, Yongwei Wu, Zhenchun Huang, Guangwen Yang, et al.. DABGPM: A Double Auction Bayesian Game-based Pricing Model in Cloud Market. Chen Ding; Zhiyuan Shao; Ran Zheng. IFIP International Conference on Network and Parallel Computing (NPC), Sep 2010, Zhengzhou, China. Springer, Lecture Notes in Computer Science, LNCS-6289, pp.155-164, 2010, Network and Parallel Computing. 〈10.1007/978-3-642-15672-4_14〉. 〈hal-01054981〉

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