A game-based approach for cloudlet resource pricing for cloudlet federation

作者：Ye, Hengzhou; Feng, Bochao; Li, Xinxiao^*

来源：Journal of Supercomputing, 2023, 79(16): 18627-18647.

DOI：10.1007/s11227-023-05374-1

• CloudLet Federation
• Resources pricing
• Game theory
• Nash equilibrium

Sharing resources among cloudlets can significantly reduce deployment and management costs and improve the quality of edge services in the CloudLet Federation (CLF). To balance the interests of Cloudlet Infrastructure Providers (CIPs) and enhance the overall profits of the federation, this paper presents a fair pricing strategy for cloudlet resources using a game model. The game model designs the initial quotes from both sides of the game, considering the idle resource rate of CIPs and the overall profit of the CLF. Additionally, the price adjustment strategy considers the psychology of the demand side and the convergence rate of the game process. The paper proves the existence of the Nash equilibrium solution of the game model by selecting the number of game rounds as a critical factor. Furthermore, an algorithm, Game Pricing Approach based on Selection Times, is proposed to solve the model. Simulation results show that the proposed method can improve the total profit by more than 20% and resource utilization by over 50% compared to the existing methods.

• 单位
  桂林理工大学