The POPCORN market—an online market for computational resources
Proceedings of the first international conference on Information and computation economies
Computational Markets to Regulate Mobile-Agent Systems
Autonomous Agents and Multi-Agent Systems
Resource allocation games with changing resource capacities
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A toolkit for modelling and simulating data Grids: an extension to GridSim
Concurrency and Computation: Practice & Experience
Market-based grid resource allocation using a stable continuous double auction
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
Utility-driven solution for optimal resource allocation in computational grid
Computer Languages, Systems and Structures
Market based resource allocation with incomplete information
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Non-cooperative, semi-cooperative, and cooperative games-based grid resource allocation
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
A game theoretic formulation of the service provisioning problem in cloud systems
Proceedings of the 20th international conference on World wide web
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Cloud computing and other computing paradigms share the similar visions which aim to implement parallel computations on large distributed resources However, this cloud computing is more involved in purchasing and consuming manners between providers and users than others So how to allocate resources reasonably to cater requirements from both sides attracts wide attentions Based on game theory, we introduce a new Bayesian Nash Equilibrium Allocation algorithm to solve resource management problem in cloud computing This algorithm fully considers several criteria such as the heterogeneous distribution of resources, rational exchange behaviors of cloud users, incomplete common information and dynamic successive allocation Compared to former researches, experimental results presented in this paper show that even though rivals' information is uncertain, cloud users can receive Nash equilibrium allocation solutions by gambling stage by stage Furthermore, the resource price evaluated by the algorithm will converge to the optimal price at the end of the gambling sequence.