%0 Conference Proceedings
%T DABGPM: A Double Auction Bayesian Game-based Pricing Model in Cloud Market
%+ Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology
%A Shang, Shifeng
%A Jiang, Jinlei
%A Wu, Yongwei
%A Huang, Zhenchun
%A Yang, Guangwen
%A Zheng, Weimin
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B IFIP International Conference on Network and Parallel Computing (NPC)
%C Zhengzhou, China
%Y Chen Ding; Zhiyuan Shao; Ran Zheng
%I Springer
%3 Network and Parallel Computing
%V LNCS-6289
%P 155-164
%8 2010-09-13
%D 2010
%R 10.1007/978-3-642-15672-4_14
%K Cloud Computing
%K Pricing Model
%K Double Auction
%K Cloud Market
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01054981/document
%2 https://inria.hal.science/hal-01054981/file/npc10-1569307317.pdf
%L hal-01054981
%U https://inria.hal.science/hal-01054981
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-LNCS-6289
%~ IFIP-NPC
%~ IFIP-2010