An Autonomous Pricing Strategy toward Market Economy in Computational Grids
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
Dynamic Resource Prices in a Combinatorial Grid System
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
Tycoon: An implementation of a distributed, market-based resource allocation system
Multiagent and Grid Systems
Sharing networked resources with brokered leases
ATEC '06 Proceedings of the annual conference on USENIX '06 Annual Technical Conference
A Dynamic Price Model with Demand Prediction and Task Classification in Grid
GCC '07 Proceedings of the Sixth International Conference on Grid and Cooperative Computing
Aneka: Next-Generation Enterprise Grid Platform for e-Science and e-Business Applications
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
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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.