Abstract:
This project proposes a many-to-many service mechanism for profit optimization between cloud providers and customers. We use game theory to solve this problem, but not like other cloud resource pricing game methods. First, we model cloud customer relationships as an evolutionary game and cloud provider competitions as a noncooperative game. We eventually create a hybrid game model in which each customer and cloud provider’s strategy is affected by both sides and other customers and cloud providers. Second, using the hybrid game model, we simulate cloud provider-customer bargaining by controlling supply and demand allocation and trying to reach a win-win state. We design utility functions for each cloud customer and provider. Net profits, cloud providers’ bidding strategies, and cloud customers’ demand strategies determine a customer’s utility. Both sides maximize profits under each other’s influence. Our strategies allow both games to converge to their own equilibrium. Finally, IPAs and DIAs can implement cloud customers’ and providers’ strategies. Our experimental results demonstrate that the proposed method benefits multiple cloud providers and customers.
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